Supervisors

See the list of publications at: https://www.unet.fi/publications/ 

• Fair Data/Biases and Bubbles of Participation

Authored and edited books

Nikunen, K (2019) Media Solidarities: Emotions, power and justice in the digital age. London: Sage.

Maasilta, M. & Nikunen, K. (2018) (eds.) Pakolaisuus, tunteet ja media. Tampere: Vastapaino.

Nikunen, K. and Eide, E. (2011) (eds) Media in Motion: Cultural complexity and migration in the Nordic Region. London: Routledge.

Paasonen S., Nikunen, K., Saarenmaa, L. (2007) (eds) Pornification: Sex and Sexuality in Media Culture. Oxford: Berg. 

Nikunen, K. (2005) Faniuden aika. Kolme tapausta tv-ohjelmien faniudesta vuosituhannen taitteen Suomessa. Tampere: TUP. 

Research articles

Nikunen, K. (2023) Repairing algorithms, rebuilding data paths: material solidarity, the digital infrastructure, and the public. In Parks, Velkova & De Ridder (eds) Media Backends: The Politics of Infrastructure, Clouds, and Artificial Intelligence. University of Illinois Press.

Nikunen, K. & Valtonen, S. (2023) Undocumented and datafied. In K. Leurs & S. Ponzanesi (eds.) Doing Digital Migrant Studies. Amsterdam: Amsterdam University Press.

Nikunen K. (2023) Echo of Experience: a feminist response to racialization of sexual crime in the hybrid media event. International Journal of Communication 17(2023):1348-1364.

Nikunen, K. & Valtonen, S. (2022) Precariousness and hope: Digital everyday life of the undocumented migrants explored through collaborative photography. Media and Communication 10(2)

Laaksonen, S., Hokka, J. & Nikunen, K. (2022) Affective visual rhetoric of the far-right across social media. In Petterson K. & Nortio, E. (eds.)The far-right discourse of multiculturalism in everyday talk: Reproduction and contestation in intergroup interactions. Palgrave McMillan.

Andreassen, R., Kaun, A. & Nikunen, K. (2021) Fostering the data welfare state: A Nordic perspective on datafication. Nordicom Review 42(2):207-223.

Nikunen, K. (2021) Ghosts of White Methods? Challenges of Big Data Research in Exploring Racism in Digital Context. Big Data & Society Sept 8 2021.

Nikunen, K. & Hokka, J. (2020) Welfare state values and public service media in the era of datafication. Special Issue on Datafication and the Welfare State, edited by Lina Dencik and Anne Kaun. Global Perspectives 1(2). 

Nikunen, K., Hokka, J. and Nelimarkka, M. (2021) Affective practice of Soldiering: How sharing images is used to spread extremist and racist ethos on Soldiers of Odin Facebook site. Television and New Media 22(1).

Nikunen, K. (2019) Once a Refugee: Selfie activism, visualized citizenship and the space of appearance. Popular Communication: The International Journal of Media and Culture 17(2): 154-170.

Nikunen, K. (2019) Emotions, Affect and the Media. In Curran J. and Hesmondhalgh, D. (eds) Media & Society. London: Bloomsbury.

Nikunen, K. (2019) Breaking the Silence: From representations of victims and threat towards spaces of voice. In Georgiou, M. Leurs, K., Smets, K. & Witteborn, S. (eds) Sage Handbook of Migration and Media. London: Sage. 

Nikunen, K. (2018) From Irony to Solidarity: Affective practice in social media activism. Studies of Transition States and Societies 10(2): 10-21.

Nikunen, K (2016) Doing Good Reality, Masculine Care and Affective Capitalism. Ephemera: theory & politics in organization 16(4):163-184.

Nikunen, K. (2016) Media, Passion and Humanitarian Reality Television European Journal of Cultural Studies, 19 (3):265-282. 

Nikunen, K. (2015) Politics of Irony as Emerging Sensibility of Anti-Immigrant Debate. In Rikke Andreassen and Katherine Vitus (eds.) Affectivity and Race: Studies from Nordic Contexts. London: Routledge.

Nikunen, K. (2014) Hopes of Hospitality: Media, refugee crisis and the politics of a place. International Journal of Cultural Studies 19(2): 161-176.

Nikunen, K. (2014) Losing My Profession: Age, experience and expertise in the changing newsrooms. Journalism: Theory, Practice and Criticism 15(7): 868–888.

Laiho, M. and Nikunen K. (2012) Uhreista parhaat? Lapset Irakin sodan ja Gazan konfliktin uutiskuvissa. Media ja Viestintä 35(4-5):118-136.

Nikunen, K. (2010) Rakastamisen vaikeudesta: Internet, maahanmuutto-keskustelu ja tunteet. Media ja Viestintä 33(4):7–26.

• UNITE: Forest-Human-Machine Interplay
• WEARTUAL: DESIGNING AND DEVELOPING WEARABLES FOR VIRTUAL REALITY ENVIRONMENTS WITH A RESEARCH THROUGH DESIGN PROCESS
• GARMENT: WEARABLES FOR GAMING
• POSTEMOTION: SOCIO-EMOTIONAL AUGMENTATION OF HUMAN EXODUS TO VIRTUAL REALITY
• WEARPG
• TRANSHUMAN AND POSTHUMAN FUTURES

10. Oğuz ‘Oz’. Buruk, Ella Dagan, Katherine Isbister, Elena Márquez Segura, and Theresa Jean Tanenbaum. 2022. Playful Wearables: Understanding the Design Space of Wearables for Games and Related Experiences. MIT Press. 

9. Oğuz ‘Oz’ Buruk, Mikko Salminen, Nannan Xi, Timo Nummenmaa, and Juho Hamari. 2021. Towards the Next Generation of Gaming Wearables. Proceedings of the 2021 Conference on Human Factors in Computing Systems - CHI ‘21.

8. Oğuz ‘Oz’ Buruk, Çağlar Genç, Ozan Yıldırım, Mehmet Cengiz Onbaşlı, and Oğuzhan Özcan. 2021. Snowflakes: A Prototyping Tool for Computational Jewellery. In Proceedings of the 2021 Conference on Human Factors in Computing Systems - CHI ‘21.

7. Mattia Thibault, Oğuz ‘Oz’ Buruk, Lobna Hassan, and Juho Hamari. 2021. Anagenesis: A framework for a gameful, playful and democratic future smart cities. In Organizational Gamification. Routledge.

6. Mattia Thibault, Oğuz ‘Oz’ Buruk, Seda Suman Buruk, and Juho Hamari. 2020. Transurbanism: Smart Cities for Transhumans. In Proceedings of the 2020 ACM on Designing Interactive Systems Conference - DIS ‘20, 1915–1928.

5. Oğuz ‘Oz’ Buruk, Katherine Isbister, and Theresa Jean Tanenbaum. 2019. A Design Framework for Playful Wearables. In International Conference on the Foundations of Digital Games - FDG ’19.

4. Oğuz ‘Oz’ Buruk and Oğuzhan Özcan. 2018. Extracting Design Guidelines for Wearables and Movement in Tabletop Role-Playing Games via a Research Through Design Process. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI ‘18.

3. Çağlar Genç, Oğuz ‘Oz’ Buruk, Sejda İnal Yılmaz, Kemal Can, and Oğuzhan Özcan. 2018. Exploring Computational Materials as Fashion Materials: Recommendations for Designing Fashionable Wearables. International Journal of Design 12, 3: 1–19.

2. Ruowei Xiao, Sangwon Jung, Oğuz ‘Oz’ Buruk, and Juho Hamari. 2022. Exploring the Player Experiences of Wearable Gaming Interfaces: A Qualitative Analysis. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2022).

1. Mert Canat, Mustafa Ozan Tezcan, Celalettin Yurdakul, Eran Tiza, Buğra Can Sefercik, İdil Bostan, Oğuz ‘Oz’ Buruk, Tilbe Göksun, and  Oğuzhan Özcan. 2016. Sensation: Measuring the Effects of a Human-to-Human Social Touch Based Controller on the Player Experience. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI ‘16, 3944–3955.

[See more at: https://researchportal.tuni.fi/en/persons/mattia-thibault ]

Thibault, M. (ed.)(2022) Speculative Semiotics, special issue of Linguistic Frontiers, Volume 5 (2022): Issue 3, Pages: 86. https://sciendo.com/issue/LF/5/3

Thibault, M. and J. Hamari (2021), Seven points to reappropriate gamification. In Transforming Society and Organizations through Gamification (pp. 11-28). Palgrave Macmillan, Cham.

Thibault, M., Buruk, O. O., Buruk, S. S., & Hamari, J. (2020). Transurbanism: Smart Cities for Transhumans. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (pp. 1915-1928).

32 supervised PhD dissertations, examiner or opponent for about 50 PhD dissertations worldwide, over 150 supervised/examined MSc theses, editor of 5 books, awards as conference organizer and innovator.

Head of A-WEAR joint doctoral program at Tampere University, vice chair of the steering group of the international BSc program, steering group member of four international conferences (chairman in two: IEEE Nordic Circuits and Systems Conference, International Conference on Localization and GNSS), member of the VLSI Systems and Applications technical committee at IEEE Circuits and Systems Society, editorial board member in three international scientific journals. Tampere Congress Ambassador. Research Integrity Advisor.

Selected recent publications:

Tiago Troccoli, Juho Pirskanen, Jorge Morte, Aleksandr Ometov, Elena Simona Lohan, Ville Kaseva, and Jari Nurmi, “Efficient Embedded Fixed-Point Direction of Arrival Method,” in IEEE Sensors, vol. 24, no. 6, 15 March 2024. Doi 10.1109/JSEN.2024.3361658.

Hans Jakob Damsgaard, Antoine Grenier, Dewant Katare, Zain Taufique, Salar Shakibhamedan, Tiago Troccoli, Georgios Chatzitsompanis, Anil Kanduri, Aleksandr Ometov, Aaron Yi Ding, Nima Taherinejad, Georgios Karakonstantis, Roger Woods, and Jari Nurmi, “Adaptive Approximate Computing in Edge AI and IoT Applications: A Review,” in Journal of Systems Architecture, Elsevier, 2024.

Antoine Grenier, Jie Lei, Hans Jakob Damsgaard, Enrique S. Quintana-Ortí, Aleksandr Ometov, Elena Simona Lohan, and Jari Nurmi, “Hard SyDR: A Benchmarking Environment for Global Navigation Satellite System Algorithms,” in Sensors, MDPI, 2024.

Majed Imad, Antoine Grenier, Xiaolong Zhang, Jari Nurmi, and Elena Simona Lohan, “Ionospheric Error Models for Satellite-Based Navigation - Paving the Road Towards LEO-PNT Solutions,” in Computers, MDPI, 2024, 13(1), 4, https://doi.org/10.3390/computers13010004.

Antoine Grenier, Elena Simona Lohan, Aleksandr Ometov, and Jari Nurmi, “Towards Smarter Positioning through Analyzing Raw GNSS and Multi-Sensor Data from Android Devices: A Dataset and an Open-Source Application,” in Electronics, MDPI, 2023, 12(23), 4781, https://doi.org/10.3390/electronics12234781.

Aditi Site, Jari Nurmi, and Elena Simona Lohan, “Machine-learning-based diabetes prediction using multi-sensor data,” in IEEE Sensors, 2023, doi: 10.1109/JSEN.2023.3319360.

Pavel Pascacio de Los Santos, Joaquin Torres Sospedra, Sven Casteleyn, Elena Simona Lohan, and Jari Nurmi, “L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting,” in IEEE Sensors, 2023, doi: 10.1109/JSEN.2023.3308147.

Dewant Katare, Diego Perino, Jari Nurmi, Martijn Warnier, Marijn Janssen, and Aaron Yi Ding, “A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services,” in IEEE Communications Surveys & Tutorials, 2023, doi: 10.1109/COMST.2023.3302474.

Darwin Quezada-Gaibor, Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Mikko Valkama, Joaquín Huerta, and Joaquín Torres-Sospedra, “Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive,” in IEEE Journal of Indoor and Seamless Positioning and Navigation, vol. 1, 2023, pp. 53-68 doi: 10.1109/JISPIN.2023.3299433.

Hans Jakob Damsgaard, Aleksandr Ometov, Md Munjure Mowla, Adam Flizikowski, and Jari Nurmi, “Approximate Computing in B5G and 6G Wireless Systems: A Survey and Future Outlook,” in Computer Networks, Elsevier, 2023.

Antoine Grenier, Elena Simona Lohan, Aleksandr Ometov, and Jari Nurmi, “A Survey on Low-Power GNSS,” in IEEE Communications Surveys and Tutorials, 2023. doi: 10.1109/COMST.2023.3265841.

Lucie Klus, Roman Klus, Joaquin Torres Sospedra, Elena Simona Lohan, Carlos Granelli, Jari Nurmi, “EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets,” in IEEE Transactions on Mobile Computing, 2023.

Iñigo Cortés, Johannes Rossouw Van der Merwe, Elena Simona Lohan, Jari Nurmi, and Wolfgang Felber, “Low-Complexity Adaptive Full Direct-State Kalman Filter for Robust GNSS Tracking,” in Sensors, 2023, 23, 3658. https://doi.org/10.3390/s23073658.

Tiago Troccoli, Juho Pirskanen, Jari Nurmi, Aleksandr Ometov, Jorge Morte, Elena Simona Lohan, and Ville Kaseva, “Direction-of-Arrival Method for L-Shaped Array with RF Switch: An Embedded Implementation Perspective,” in Sensors, MDPI, 2023, 23(6), 3356, doi: 10.3390/s23063356.

Aleksandr Ometov, Anzhelika Mezina and Jari Nurmi, "On Applicability of Imagery-Based CNN to Computational Offloading Location Selection," in IEEE Access, vol. 11, pp. 2433-2444, 2023, doi: 10.1109/ACCESS.2022.3232469.

Joaquín Torres-Sospedra, Darwin Quezada Gaibor, Jari Nurmi, Yevgeni Koucheryavy, Elena Simona Lohan, and Joaquin Huerta, “Scalable and Efficient Clustering for Fingerprint-Based Positioning,” in IEEE Internet of Things Journal, vol. 10, no. 4, pp. 3484-3499, Feb.15, 2023, doi: 10.1109/JIOT.2022.3230913.

Hans Jakob Damsgaard, Aleksandr Ometov, and Jari Nurmi, “Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review,” in ACM Computing Surveys, 2022 (online), doi: 10.1145/3572772.

Aditi Site, Saigopal Vasudevan, Samuel Afolaranmi, Jose L. Martinez Lastra, Jari Nurmi, and Elena Simona Lohan, “A Machine-Learning-Based Analysis of the Relationships between Loneliness Metrics and Mobility Patterns for Elderly,” in Sensors, MDPI, 2022, 22(13), 4946. doi: 10.3390/s22134946.

Iñigo Cortés, Johannes Rossouw van der Merwe, Elena Simona Lohan, Jari Nurmi, and Wolfgang Felber, “Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter,” in Sensors, MDPI, 2022, 22(2), 420. doi: 10.3390/s22020420.

Darwin Quezada Gaibor, Joaquín Torres-Sospedra, Jari Nurmi, Yevgeni Koucheryavy, and Joaquín Huerta, “Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-denied Scenarios - A Systematic Review,” in Sensors, MDPI, 2022, 22, 110. doi: 10.3390/s22010110

Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, and Jari Nurmi, “A Survey of Security in Cloud, Edge, and Fog Computing,” in Sensors, MDPI, 2022, 22, 927. doi: 10.3390/s22030927.

Aditi Site, Jari Nurmi, and Elena Simona Lohan, “Systematic Review on Machine-Learning Algorithms used in Wearable-based eHealth Data Analysis,” in IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3103268.

Pavel Pascacio, Sven Casteleyn, Joaquin Torres Sospedra, Elena Simona Lohan, and Jari Nurmi, “Collaborative Indoor Positioning Systems: A Systematic Review,” in Sensors, MDPI, 2021, 21, 1002. https://doi.org/10.3390/s21031002.

Lucie Klus, Roman Klus, Elena Simona Lohan, Carlos Granell, Jukka Talvitie, Mikko Valkama, and Jari Nurmi, “Direct Lightweight Temporal Compression for Wearable Sensor Data,” in IEEE Sensors Letters, Jan. 2021, doi: 10.1109/LSENS.2021.3051809.

Iñigo Cortés, Johannes Rossouw van der Merwe, Jari Nurmi, Alexander Rügamer, and Wolfgang Felber, “Evaluation of Adaptive Loop-Bandwidth Tracking Techniques in GNSS Receivers,” in Sensors, MDPI, 2021, 21, 502. https://doi.org/10.3390/s21020502.

Most cited publications (Google Scholar):

Xin Wang, Tapani Ahonen, and Jari Nurmi, “Applying CDMA Technique to Network-on-Chip,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 15, No. 10, pp. 1091-1100, October 2007.

Jari Nurmi, Hannu Tenhunen, Jouni Isoaho, and Axel Jantsch (Eds.), Interconnect-Centric Design for Advanced SoC and NoC, Kluwer Academic Publishers, 2004, ISBN 1-4020-7835-8.

Pavel Pascacio, Sven Casteleyn, Joaquin Torres Sospedra, Elena Simona Lohan, and Jari Nurmi, “Collaborative Indoor Positioning Systems: A Systematic Review,” in Sensors, MDPI, 2021, 21, 1002. doi: 10.3390/s21031002.

Tapani Ahonen, David Sigüenza Tortosa, and Jari Nurmi, “Topology Optimization for Application-Specific Networks-on-Chip,” in Proc. 6th International Workshop on System Level Interconnect Prediction, Paris, France, February 14-15, 2004.

Jari Nurmi (Ed.), Processor Design: System-on-Chip Computing for ASICs and FPGAs, Springer, 2007, ISBN 978-1-4020-5529-4.

Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, and Jari Nurmi, “A Survey of Security in Cloud, Edge, and Fog Computing,” in Sensors, MDPI, 2022, 22(3), 927. doi: 10.3390/s22030927.

Ilkka Saastamoinen, David Sigüenza Tortosa and Jari Nurmi, ”Interconnect IP Node for Future System-on-Chip Designs,” in Proc. 1st International Workshop on Electronic Design, Test & Applications Delta2002, Christchurch, New Zealand, January 29-31, 2002, pp. 116-120.

David Sigüenza Tortosa and Jari Nurmi, “Proteo: A New Approach to Network-on-Chip,” in Proc. International Conference on Communication Systems and Networks (CSN’02), Malaga, Spain, September 9-12, 2002, pp. 355-357.

Ilkka Saastamoinen, Mikko Alho and Jari Nurmi, “Buffer Implementation for Proteo Networks-on-Chip,” in Proc. International Symposium on Circuits and Systems ISCAS 2003, Bangkok, Thailand, May 25-28, 2003.

Jari Nurmi, Elena-Simona Lohan, Stephan Sand, and Heikki Hurskainen (Eds.), GALILEO Positioning Technology, Springer, 2014, ISBN 978-94-007-1829-6, Doi 10.1007/978-94-007-1830-2.

Waleed Bin Qaim, Aleksandr Ometov, Antonella Molinaro, Ilaria Lener, Claudia Campolo, Elena Simona Lohan, and Jari Nurmi, “Towards Energy Efficiency in the Internet of Wearable Things: A Systematic Review,” in IEEE Access, 2020, doi: 10.1109/ACCESS.2020.3025270.

David Sigüenza Tortosa, Tapani Ahonen and Jari Nurmi, “Issues in the Development of a Practical NoC: The Proteo Concept,” in Integration, The VLSI Journal, Elsevier, Vol. 38, pp. 95-105, October 2004.

Jari Nurmi, “Network-on-Chip: A New Paradigm for System-on-Chip Design,” invited paper in Proc. International Symposium on System-on-Chip SoC 2005, Tampere, Finland, November 15-17, 2005, pp. 2-6.

David Sigüenza Tortosa and Jari Nurmi, “VHDL-based Simulation Environment for Proteo NoC,” in Proc. Seventh Annual IEEE International Workshop on High Level Design Validation and Test (HLDVT’02), Cannes, France, October 27-29, 2002, pp. 1-6.

Omer Anjum, Tapani Ahonen, Fabio Garzia, Jari Nurmi, Claudio Brunelli, and Heikki Berg, “State of the Art Baseband DSP Platforms for Software Defined Radio: a Survey,” in EURASIP Journal on Wireless Communication and Networking, Hindawi, June 2011. doi:10.1186/1687-1499-2011-5.

Heikki Hurskainen, Elena Simona Lohan, Xuan Hu, Jussi Raasakka, and Jari Nurmi, “Multiple Gate Delay Tracking Structures for GNSS Signals and Their Evaluation with Simulink, SystemC and VHDL,” in International Journal of Navigation and Observation, Hindawi, vol. 2008, Article ID 785695, 17 pages, 2008. Doi:10.1155/2008/785695.

Francescantonio Della Rosa, Mauro Pelosi, and Jari Nurmi, "Human-Induced Effects on RSS Ranging Measurements for Cooperative Positioning," in International Journal of Navigation and Observation, vol. 2012, Article ID 959140, 13 pages, 2012. doi:10.1155/2012/959140.

• Have a Seat! Dinners Enhancing Neighbour Dialogue
• Twitter as a Communication Channel for Finnish CEOs

• My webpage

• 2017 Finnish Cultural Foundation for Art and Science Award; 
• Conferrer of Degrees (Promoottori) at the Ceremonial Conferment of Doctoral Degrees at TUT, 2017; 
• Academy of Finland Professor, 2011-2015; 
• IEEE Fellow, 2011; 
• TUT Foundation Recognition Award, 2015; 
• Academia Europaea, member since 2014; 
• Finnish Academy of Science and Letters, member since 2014.

• IEEE John Choma Education Award Committee, 2021.
• IEEE Fourier Award for Signal Processing Committee, 2013-2014; 
• IEEE Signal Processing Society Big Data Interest Group (BIG-SIG), 2014; 
• EURASIP Advisory Committee, since 2012; 
• General co-Chair of IEEE International Symposium on Circuits and Systems, 2019; 
• General co-Chair of IEEE International Conference on Image Processing, 2020; 
• Director, NSF Center for Visual and Decision Informatics, Finland Site; 
• Distinguished Lecturer, IEEE DLP of the CAS society, 2004-2005; 
• Chairman, IEEE Finland Section, 2002-2003; Executive Committee member, 2004-2005; 
• Chairman, Technical Committee on DSP, IEEE Circuits and Systems Society, 1994- 1995, Chairman-Elect, 1993-1994, and Secretary, 1991-1992; 
• Chairman, IEEE Signal Processing and Circuits and Systems, Finland Chapter, 2002-2004; 
• Member, Editorial Board of Signal, Image and Video Processing, Springer; 
• Associate Editor, IEEE Transactions on Image Processing, 1994-1998; 
• Member, Editorial Board of EURASIP Book Series on Signal Processing and Communications; 
• Guest Editor, Springer Journal of Multimedia Tools and Applications, 2006; 
• Guest Editor, the European Journal Applied Signal Processing, 2002; 
• Guest Editor, the European journal Signal Processing, August 1994.

Journal Publications and Patents

A. PEER REVIEWED SCIENTIFIC JOURNAL ARTICLES

1. E. J. Coyle, J.-H. Lin, and M. Gabbouj, "Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing," (Invited paper) IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 37, no. 12, pp. 2037-2066, December 1989.

2. M. Gabbouj and E. J. Coyle, "Minimum Mean Absolute Error Stack Filtering With Structural Constraints," IEEE Transactions Acoustics, Speech, Signal Processing, Vol. ASSP-38, pp. 955-968, June 1990.    

3. B. Zeng, M. Gabbouj, and Y. Neuvo, "A Unified Design Method for Rank Order, Stack and Generalized Stack Filters Based on Classical Bayes Decision," IEEE Transactions on Circuits and Systems, Vol. 38, No. 9, pp. 1003-1020, September 1991.    

4. M. Gabbouj and E.J. Coyle, "On the LP Which Finds a MMAE Stack Filter," IEEE Transactions on Signal Processing, Vol. 39, No. 11, pp. 2419-2424, November 1991.    

5. P. Haavisto, M. Gabbouj, and Y. Neuvo, "Median Based Idempotent Filters," Journal of Circuits, Systems and Computers, Vol. 1, No. 2, pp. 125-148, 1991.

6. M. Gabbouj, P.-T. Yu and E.J. Coyle, "Convergence Behavior and Root Signal Sets of Stack Filters," Circuits, Systems, and Signal Processing, Special issue on Median and Morphological Filtering, Vol. 11, No. 1, pp. 171-193, 1992.    

7. M. Gabbouj, E.J. Coyle and N.C. Gallagher, Jr., "An Overview of Median and Stack Filtering," Circuits, Systems, and Signal Processing, Special issue on Median and Morphological Filtering, Vol. 11, No. 1, pp. 7-45, 1992.    

8. Q. Wang, M. Gabbouj, and Y. Neuvo, "Root Signal Sets of Morphological Filters and Their Use in Variable-Length BTC Image Coding," Journal of Mathematical Imaging and Vision, Vol. 2, pp. 155-171, 1992.    

9. Q. Wang, M. Gabbouj, and Y. Neuvo, "Root Properties of Morphological Filters," Signal Processing, Vol. 34, No. 2, pp. 131-148, November 1993.

10. Jacek Niewȩgłowski, Moncef Gabbouj and Yrjö Neuvo, "Weighted medians — positive Boolean functions conversion algorithms," Signal Processing, 1993, vol. 34, no. 2, pp. 149 -161. 

11. T. Sun, M. Gabbouj and Y. Neuvo, "Center Weighted Median Filters: Some Properties and Application in Image Processing,” Signal Processing, Vol. 35, No. 3, pp. 213-229, February 1994.

12. T. Sun, M. Gabbouj and Y. Neuvo, "Adaptive L-Filters with Applications in Signal and Image Processing," Signal Processing, Special Issue on Nonlinear Digital Signal Processing, Vol. 38, No. 3, pp. 331-344, 1994.

13. R. Yang, M. Gabbouj, and P.-T. Yu, "Parametric Analysis of Weighted Order Statistic Filters," IEEE Signal Processing Letters, Vol. 1, No. 6, pp. 95-98, June 1994.    

14. A.G. Bors and M. Gabbouj, "Minimal Topology for a Radial Basis Functions Neural Network for Pattern Classification," Digital Signal Processing, Academic Press, Vol. 4, No. 3, pp. 173-188, July 1994.    

15. R. Yang, L. Yin, M. Gabbouj, J. Astola, and Y. Neuvo, "Optimal Weighted Median Filtering under Structural Constraints," IEEE Transactions on Signal Processing, Vol. 43, No. 3, pp. 591-604, March 1995.    

16. T. Sun, M. Gabbouj, and Y. Neuvo, "Analysis of Two-Dimensional Center Weighted Median Filters," Multidimensional Systems and Signal Processing, Vol. 6, No. 2, pp. 159-172, April 1995.    

17. R. Yang, M. Gabbouj and Y. Neuvo, "Fast Algorithms for Analyzing and Designing Weighted Median Filters," Signal Processing, Vol. 41, pp. 135-152, 1995.    

18. H. Chen, R. Yang, M. Gabbouj, "On Root Structures and Convergence Properties of Weighted Median Filters," Journal of Circuits, Systems, and Computers, Vol. 14, No. 6, pp. 735-747, 1995.    

19. L. Yin, R. Yang, M. Gabbouj, and Y. Neuvo, "Weighted Median Filters: A Tutorial," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 43, No. 3, pp. 157-192, March 1996. 

20. I. Tabus, D. Petrescu and M. Gabbouj, "A Training Framework for Stack and Boolean Filtering--Fast Optimal Design Procedures and Robustness Case Study," IEEE Transactions on Image Processing, Special Issue on Nonlinear Image Processing, Vol. 5, No. 6, pp. 809-826, June 1996.    

21. I. Pitas, C. Kotropoulos, N. Nikolaidis, R. Yang, and M. Gabbouj, "Order Statistics Learning Vector Quantizer," IEEE Transactions on Image Processing, Special Issue on Nonlinear Image Processing, Vol. 5, No. 6, pp. 1048-1053, June 1996.    

22. A. Moga and M. Gabbouj, "Parallel Image Component Labeling with Watershed Transformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 5, May 1997, pp. 441-450.    

23. M. Karczewicz and M. Gabbouj, "ECG Data Compression by Spline Approximation," Signal Processing, Vol. 59, No. 1, pp. 43-59, 1997.    

24. L. Khriji and M. Gabbouj, "Median-Rational Hybrid Filters for Image Restoration", Electronic Letters, vol.34 No.10 pp. 977-979, May 1998.    

25. A. Moga and M. Gabbouj, "Parallel Marker-Based Image Segmentation with Watershed Transformation," Journal of Parallel and Distributed Computing, JPDC-51 (1): 27-45, May 1998.    

26. M. Karczewicz and M. Gabbouj, "Robust B-Spline Image Modeling with Application to Image Processing," IEEE Transactions on Image Processing, Vol. 7, No. 6, June 1998, pp. 912-917.    

27. A. Moga, B. Cramariuc and M. Gabbouj, "Parallel Watershed Transformation Algorithms for Image Segmentation," Parallel Computing, (24) 14 (Nov. 1998) pp. 1981-2001.    

28. H. Jaakkola, M. Gabbouj and Y. Neuvo, “Fundamentals of Technology Diffusion and Mobile Phone Case Study,” Circuits Systems and Signal Processing, Vol. 17, No. 3, 1998, pp. 421-448.    

29. R. Hamila, J. Astola, F. A. Cheikh, M. Gabbouj and M. Renfors, “Teager Energy and the Ambiguity Function,” IEEE Transactions on Signal Processing, vol. 47, no. 1, pp. 260–262, January 1999.    

30. L. Khriji and M. Gabbouj, "A Class of Multichannel Image Processing Filters", IEE Electronic Letters, vol. 35, no. 4, pp. 285-287, February 1999.    

31. D. Petrescu, I. Tabus and M. Gabbouj, "Prediction Capabilities of Boolean and Stack Filters for Lossless Image Compression,” Multidimensional Systems and Signal Processing, Volume 10, April 1999, pp. 161-187.    

32. L. Khriji, F. Alaya Cheikh and M. Gabbouj, "High-Resolution digital Resampling Using Vector Rational," Optical Engineering, 38 (5) pp.893-901, May 1999.    

33. L. Khriji and M. Gabbouj, "Vector Median-Rational Hybrid Filters for Multichannel Image Processing," IEEE Signal Processing Letters, vol.6, no. 7, pp. 186-190, July 1999.    

34. Doina Petrescu, Ioan Tabus and Moncef Gabbouj, "L-M-S Filters for Image Restoration Applications," IEEE Transactions on Image Processing, vol. 8, no. 9, September 1999, pp. 1299-1305.    

35. Lazhar Khriji and Moncef Gabbouj, “A New Class of Multichannel Image Processing Filters: Vector Median-Rational Hybrid Filters,” IEICE Transactions on Information and Systems, vol. E82-D, No. 12, pp. 1589-1596, December 1999.    

36. Lazhar Khriji, G. Bernacchia, M. Gabbouj and G.L. Sicuranza, “Programmable Hardware System for a Class of Nonlinear Order Statistics Rational Hybrid Filters,” IEE Electronics Letters, Vol. 36, No. 10, pp. 922-923, May 2000.    

37. Lazhar Khriji and Moncef Gabbouj, “Adaptive Order Statistics Rational Hybrid Filters for Multichannel Image Processing,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E84-A, no. 2, February 2001, pp. 422-431.    

38. Ilya Shmulevich, Moncef Gabbouj and Jaakko Astola, “Complexity of the consistency problem for certain post classes,” IEEE Transactions on Systems, Man, and Cybernetics—PART B: Cybernetics, Vol. 31, No. 2, April 2001, pp. 251-253.    

39. Azhar Quddus and Moncef Gabbouj, “Wavelet-based corner detection technique using optimal scale,” Pattern Recognition Letters, 23, issue 1-3 (2002) 215-220.    

40. Faouzi Alaya-Cheikh, Bogdan Cramariuc, Mari Partio, Pasi Reijonen and Moncef Gabbouj, “Ordinal Measure Based Shape Correspondence,” Journal of Applied Signal Processing, Special issue on Image Analysis for Multimedia Interactive Services – Part I, Vol. 2002, No. 4, pp. 362-371, April 2002.    

41. Lazhar Khriji and Moncef Gabbouj, “Adaptive Fuzzy Order Statistics-Rational Hybrid Filters for Colour Image Processing,” International Journal on Fuzzy Sets and Systems, vol. 128, No. 1, pp. 35-46, May 2002.    

42. Miska M. Hannuksela, Ye-Kui Wang, and Moncef Gabbouj, “Isolated Regions in Video Coding,” IEEE Transactions on Multimedia, vol. 6, no. 2, April 2004, pp. 259-267.    

43. Lazhar Khriji, Mahmoud Meribout, Moncef Gabbouj, A. Al-Naamany, “Fuzzy-Based Filtering of Multichannel Images (Invited Paper),” International Journal of Computational Cognition, Volume 2, Number 4, Pages 115–139, December 2004.    

44. S. Tsekeridou, F. Alaya Cheikh, M. Gabbouj, I. Pitas, “Vector Rational Interpolation Schemes for Erroneous Motion Field Estimation Applied to MPEG-2 Error Concealment,” IEEE Transactions on Multimedia, Vol. 6, No. 6, December 2004, pp. 876-885.    

45. Lazhar Khriji, M. Meribout and Moncef Gabbouj, “Detection and removal of video defects using rational-based techniques,” Elsevier Science, Advances in Engineering Software, vol. 36, issue 7 (2005) 487–495.    

46. Serkan Kiranyaz and Moncef Gabbouj, "Novel Multimedia Retrieval Technique: Progressive Query (Why wait?)", in IEE Proc. Vision, Image & Signal Processing, vol. 152, no. 3, May 2005, pp. 356-366.    

47. Serkan Kiranyaz, Ahmad F. Qureshi, and Moncef Gabbouj, "A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval," IEEE Transactions on Audio, Speech and Language Processing, vol. 13, no. 3, May 2006, pp. 1062-1081.    

48. Serkan Kiranyaz and Moncef Gabbouj, "A Generic Content-Based Audio Indexing and Retrieval Framework", in IEE Proceedings Vision, Image and Signal Processing, vol. 153, no. 3, June 2006, pp. 285-297.    

49. Chabane Djeraba, Moncef Gabbouj and Patrick Bouthemy, “Multimedia indexing and retrieval: ever great challenges,” Editorial, Multimedia Tools and Applications, special issue, Part I Video and Audio; vol. 30, no. 3, September 2006, pp. 221-228.    

50. Serkan Kiranyaz, Miguel Ferreira, Moncef Gabbouj, "Automatic Object Extraction over Multi-Scale Edge Field for Multimedia Retrieval", in IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3759-3772, December 2006.    

51. Serkan Kiranyaz, Moncef Gabbouj, "Hierarchical Cellular Tree: An Efficient Indexing Scheme for Content-based Retrieval on Multimedia Databases", IEEE Transactions on Multimedia, vol. 9, no. 1, January 2007, pp. 102-119.    

52. Mari Partio, Bogdan Cramariuc, and Moncef Gabbouj, “An Ordinal Co-occurrence Matrix Framework for Texture Retrieval,” EURASIP Journal on Image and Video Processing, vol. 2007, Article ID 17358, 15 pages, 2007.    

53. Mehdi Rezaei, Miska Hannuksela and Moncef Gabbouj, “Tune-in Time Reduction in Video Streaming over DVB-H,” in IEEE Transactions on Broadcasting, Special Issue on Mobile Multimedia Broadcasting, vol. 53, no. 1, Part 2, March 2007, pp. 320-328.    

54. Serkan Kiranyaz, Miguel Ferreira and Moncef Gabbouj, “A generic shape/texture descriptor over multiscale edge field: 2-D walking ant histogram,” IEEE Transactions on Image Processing, Volume 17, Issue 3, March 2008, pp. 377 - 391.    

55. Mehdi Rezaei, Miska Hannuksela and Moncef Gabbouj, “Fuzzy rate controller for variable bit rate video,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 18, Issue 5, May 2008, pp. 633 - 645.    

56. Esin Guldogan and Moncef Gabbouj, “Feature Selection for Content-based Image Retrieval”, Signal, Image and Video Processing, Vol. 2, No. 3, September 2008, pp. 241-250.    

57. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Joint Video Coding and Statistical Multiplexing for Broadcasting over DVB-H Channels,” IEEE Transactions on Multimedia, vol. 10, no. 8, December 2008, pp. 1455-1464.

58. Jin Li, Moncef Gabbouj and Jarmo Takala, “Hybrid Modeling of Intra-DCT Coefficients for Real-Time Video Encoding,” EURASIP Journal on Image and Video Processing, Volume 2008 (2008), Article ID 749172, 13 pages, doi:10.1155/2008/7491722009. 

59. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Statistical Time-Frequency Multiplexing of HD Video Traffic in DVB-T2,” International Journal of Digital Multimedia Broadcasting, vol. 2009, Article ID 186960, 2009.    

60. Ying Chen, Ye-Kui Wang, Kemal Ugur, Miska Hannuksela, Jani Lainema and Moncef Gabbouj, “The Emerging MVC Standard for 3D Video Services,” Eurasip Journal on Advances in Signal Processing, vol. 2009, Article ID 786015, 2009.

61. Kemal Ugur, Dmytro Rusanovskyy, Antti Hallapuro, Jani Lainema, Moncef Gabbouj, "Efficient implementation of adaptive interpolation filters for low complexity video coding," IEEE Transactions on Consumer Electronics, Volume 55, Issue 1, February 2009, pp. 257 - 263.    

62. Dmytro Rusanovskyy, Kemal Ugur, Antti Hallapuro, Jani Lainema, Moncef Gabbouj, ”Video Coding with Low Complexity Directional Adaptive Interpolation Filters,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 19, Issue 8, Aug. 2009, pp. 1239 - 1243.  

63. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Implementing Statistical Multiplexing in DVB-H,” International Journal of Digital Multimedia Broadcasting, vol. 2009, Article ID 261231, 2009. 

64. Turker Ince, Serkan Kiranyaz and Moncef Gabbouj, “A Generic and Robust System for Automated Patient-Specific Classification of Electrocardiogram Signals,” IEEE Transactions on Biomedical Engineering, Volume 56, Issue 5, May 2009, pp. 1415 - 1426.

65. Yi Guo, Ying Chen, Ye-Kui Wang, Houqiang Li, Miska Hannuksela, Moncef Gabbouj, “Error Resilient Coding and Error Concealment in Scalable Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 19, Number 6, June 2009, pp. 781-795.

66. Serkan Kiranyaz, Turker Ince, Alper Yildirim and Moncef Gabbouj, “Evolutionary Artificial Neural Networks by Multi-Dimensional Particle Swarm Optimization”, Neural Networks, doi:10.1016/j.neunet.2009.05.013, vol. 22, no. 10, pp. 1448-1462 June 2009.

67. Mehdi Rezaei, Imed Bouazizi, and Moncef Gabbouj, “Fuzzy joint encoding and statistical multiplexing of multiple video sources with independent quality of services for streaming over DVB-H,” International Journal of Innovative Computing, Information and Control, vol. 5, no. 7, July 2009, pp. 1837-1850.

68. Esin Guldogan and Moncef Gabbouj, “System Profiles in Content-Based Image Indexing and Retrieval”, Journal of Signal Image and Video Processing, DOI 10.1007/s11760-009-0137-0, 2009. 

69. Serkan Kiranyaz, Stefan Uhlmann, Turker Ince and Moncef Gabbouj, "Perceptual Dominant Color Extraction by Multi-Dimensional Particle Swarm Optimization," EURASIP Journal on Advances in Signal Processing, vol. 2009 (2009), Article 451638, 13 pages, doi:10.1155/2009/451638. 

70. Serkan Kiranyaz, Murat Birinci and Moncef Gabbouj, "Perceptual Color Descriptor Based on Spatial Distribution: a Top-Down Approach," Image and Vision Computing (2010), doi: 10.1016/j.imavis.2010.01.012. 

71. Elina Helander, Tuomas Virtanen, Jani Nurminen, and Moncef Gabbouj, “Voice Conversion Using Partial Least Squares Regression,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 10, no. 5, 2010, pp. 912-921.

72. Junyong You, Ulrich Reiter, Miska Hannuksela, Moncef Gabbouj and Andrew Perkis, “Perceptual-based Quality Assessment for Audio-visual Services: A Survey," Journal of Signal Processing: Image Communication, vol 25, no. 7, 2010, doi:10.1016/j.image.2010.02.002, March 2010, pp. 482-501.

73. Serkan Kiranyaz, Turker Ince, Alper Yildirim and Moncef Gabbouj, “Fractional Particle Swarm Optimization in Multi-Dimensional Search Space,” IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 40, no. 2, April 2010, pp. 298-319. 

74. Turker Ince, Serkan Kiranyaz, Jenni Pulkkinen, and Moncef Gabbouj, “Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis,” Expert Systems with Applications, Article ID 4730, doi:10.1016/j.eswa.2010.05.033, 2010. 

75. Lukasz Kondrad, Vinod Kumar Malamal Vadakital, Imed Bouazizi, Miika Tupala and Moncef Gabbouj, "Cross Layer Optimization of DVB-T2 System for Mobile Services," International Journal of Digital Multimedia Broadcasting, Special Issue on IP and Broadcasting Systems Convergence, Volume 2010 (2010), Article ID 435405, doi:10.1155/2010/435405. 

76. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Stochastic Approximation Driven Particle Swarm Optimization with Simultaneous Perturbation (Who will guide the guide?)”, Applied Soft Computing Journal 11 (2011), pp. 2334-2347, DOI: 10.1016/j.asoc.2010.07.022. 

77. Iftikhar Ahmad and Moncef Gabbouj, “A Generic Content-Based Image Retrieval Framework for Mobile Devices,” Multimedia Tools and Applications, Volume 55, Issue 3 (2011), pp. 423-442, DOI 10.1007/s11042-010-0556-5.

78. Serkan Kiranyaz, Jenni Pulkkinen, and Moncef Gabbouj, “Multi-dimensional Particle Swarm Optimization in Dynamic Environments,” Expert Systems with Applications, 10.1016/j.eswa.2010.08.009, vol. 38, pp. 2212–2223, 2011.

79. Serkan Kiranyaz, Turker Ince, Jenni Pulkkinen and Moncef Gabbouj, "Personalized long-term ECG classification: A systematic approach," Expert Systems with Applications, vol. 38, 2011, pp. 3220–3226, doi:10.1016/j.eswa.2010.09.010. 

80. Cixun Zhang, Kemal Ugur, Jani Lainema, Antti Hallapuro and Moncef Gabbouj, “Video Coding Using Spatially Varying Transform,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, Issue. 2, pp. 127-140, Feb 2011.

81. Vinod Kumar Malamal Vadakital and Moncef Gabbouj, “Prediction and transmission optimization of video guaranteeing a bounded zapping-delay in DVB-H,” IEEE Trans. Broadcasting, vol. 57, no. 2, pp. 231–245, 2011.

82. Victor Popa, Jani Nurminen and Moncef Gabbouj, “A Study of Bilinear Models in Voice Conversion,” Journal of Signal and Information Processing, Vol.2, No.2, 2011, pp. 125-139. 

83. Serkan Kiranyaz, Turker Ince, Jenni Pulkkinen, Moncef Gabbouj, J. Arje, Salme Karkkainen, Ville Tirronen, Martti Juhola, T. Turpeinen and Kristian Meissner, "Classification and retrieval on macroinvertebrate image databases," Computers in Biology and Medicine, vol. 41, no. 7, pp. 463-472, 2011.

84. Elina Helander, Hanna Silén, Tuomas Virtanen, and Moncef Gabbouj, "Voice Conversion Using Dynamic Kernel Partial Least Squares Regression," IEEE Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/TASL.2011.2165944, Vol. 20, No. 3, March 2012, pp. 806-817.

85. Lukasz Kondrad, Imed Bouazizi and Moncef Gabbouj, "LDPC FEC code extension for unequal error protection in DVB-T2 system: design and evaluation," International Journal of Digital Multimedia Broadcasting, vol. 2012, Article ID 834924, 11 pages, 2012. doi:10.1155/2012/834924.

86. Jin Li, Moncef Gabbouj, and Jarmo Takala, “Zero-Quantized Inter DCT Coefficient Prediction for Real-Time Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Volume: 22, Issue: 2, Digital Object Identifier: 10.1109/TCSVT.2011.2160749, 2012, Page(s): 249 – 259.

87. Turker Ince, Serkan Kiranyaz, and Moncef Gabbouj, “Evolutionary RBF Classifier for Polarimetric SAR Images,” Expert Systems with Applications, Vol. 39, pp. 4710 – 4717, April 2012.

88. Chenghao Liu, Imed Bouazizi, Miska M. Hannuksela, and Moncef Gabbouj, "Rate adaptation for dynamic adaptive streaming over HTTP in content distribution network," Signal Processing: Image Communications, vol. 27, no. 4, April 2012, DOI:10.1016/j.image.2011.10.001, pp. 288-311.

89. Francesco Cricri, Kostadin Dabov, Mikko Roininen, Sujeet Mate, Igor Curcio and Moncef Gabbouj, "Multimodal Semantics Extraction from User Generated Videos," Advances in Multimedia, vol. 2012, Article ID 292064, 17 pages, 2012, doi:10.1155/2012/292064.

90. Francesco Cricri, Kostadin Dabov, Igor Curcio, Sujeet Mate and Moncef Gabbouj, "Multimodal Extraction of Events and Information about the Recording Activity in User Generated Mobile Videos," Multimedia Tools and Applications, 2012, 10.1007/s11042-012-1085-1.

91. Serkan Kiranyaz, Toni Mäkinen and Moncef Gabbouj, "Dynamic and Scalable Audio Classification by Collective Network of Binary Classifiers Framework: An Evolutionary Approach," Neural Networks, 34 (2012), doi:10.1016/j.neunet.2012.07.003, pp. 80-95.

92. Serkan Kiranyaz, Turker Ince, Stefan Uhlmann and Moncef Gabbouj, "Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, Vol. 42, No. 4, August 2012, pp. 1169-1186.

93. Toni Mäkinen, Serkan Kiranyaz, Jenni Raitoharju, and Moncef Gabbouj, "An evolutionary feature synthesis approach for content-based audio retrieval," EURASIP Journal on Audio, Speech, and Music Processing, Springer, 2012, 2012:23, DOI: 10.1186/1687-4722-2012-23.

94. Yan Zhao, Hexin Chen, Shigang Wang, Moncef Gabbouj, "An improved method of detecting edge direction for spatial error concealment," Journal of Multimedia, vol. 7, no. 3, 2012, pp. 262-268.  

95. Xiaoni Li, Hexin Chen, Mian Shu Chen, Moncef Gabbouj, "Audio-video synchronous coding based on motion estimation in H.264," Jilin Daxue Xuebao, 2012, vol. 42, no. 5, pp. 1321-1326.  

96. Payman Aflaki, Miska M. Hannuksela, Dmytro Rusanovskyy and Moncef Gabbouj, "Nonlinear Depth Map Resampling for Depth-Enhanced 3D Video Coding," IEEE Signal Processing Letters, vol. 20, no. 1, pp. 87-90, January 2013.

97. Esin Guldogan, Thomas Olsson, Else Lagerstam and Moncef Gabbouj, "Instance Based Personalized Multi-form Image Browsing and Retrieval," Multimedia Tools and Applications, DOI 10.1007/s11042-012-1249-z, Springer 2012.

98. Chenghao Liu, Miska M. Hannuksela, and Moncef Gabbouj, “Client-driven joint cache management and rate adaptation for dynamic adaptive streaming over HTTP,” International Journal of Digital Multimedia Broadcasting, vol. 2013, Article ID 471683, 16 pages, 2013. DOI:10.1155/2013/471683.

99. Payman Aflaki, Miska M. Hannuksela, and Moncef Gabbouj, "Subjective quality assessment of asymmetric stereoscopic 3D video," Springer Journal of Signal, Image and Video Processing, DOI 10/1007/s11760-013-0439-0, 2013.

100. Je-Wong Kang, Moncef Gabbouj and C.-C. Jay Kuo, "Sparse/DCT (S/DCT) two-layered representation of prediction residuals for video coding," IEEE Transactions on Image Processing, vol. 22, no. 7, July 2013, pp. 2711-2722.

101. Miska M. Hannuksela, Dmytro Rusanovskyy, Wenyi Su, Lulu Chen, Ri Li, Payman Aflaki, Deyan Lan, Michal Joachimiak, Houqiang Li and Moncef Gabbouj, "Multiview-video-plus-depth coding based on the advanced video coding standard," IEEE Transactions on Image Processing, vol. 22, no. 9, September 2013.

102. Evgeny Belyaev, Karen Egiazarian and Moncef Gabbouj, "A low-complexity bit-plane entropy coding and rate control for 3-D DWT based video coding," IEEE Transactions on Multimedia, vol. 15, no. 8, pp. 1786-1799, 2013.

103. Evgeny Belyaev, Andrey Turlikov, Karen Egiazarian and Moncef Gabbouj, "An efficient adaptive binary arithmetic coder with low memory requirement," IEEE Journal of Selected Topics in Signal Processing, DOI 10.1109/JSTSP.2013.2269272, vol.7, no.6, pp. 1053-1061, 2013.

104. E. Belyaev, K. Egiazarian, M. Gabbouj and K. Liu, “A Low-Complexity joint source-channel video coding for 3-D DWT codec,” Journal of Communications, vol. 8, no. 12, December 2013.

105. Tiecheng Song, Fanman Meng, Qingbo Wu, Bing Luo, Bing Zeng and Moncef Gabbouj, "Noise-Robust Texture Description Using Local Contrast Patterns via Global Measures," IEEE Signal Processing Letters, 2013, vol. 21, no. 1, January 2014, pp. 93-96. 

106. Francesco Cricri, Mikko Roininen, J. Leppänen, Sujeet Mate, Igor D.D. Curcio, Moncef Gabbouj, “Sport Type Classification of Mobile Videos,” IEEE Transactions on Multimedia, vol. 16, no. 4, June 2014, pp. 917-932.

107. Henry Joutsijoki, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Jenni Raitoharju, Johanna Arje, Salme Karkkainen, Ville Tirronen, Tuomas Turpeinen, and Martti Juhola, “Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinveertebrates,” Ecological Informatics, no. 20, 2014, pp. 1-12. 

108. Bing Zeng, Siu-Kei Au Yeung, Shuyuan Zhu and Moncef Gabbouj, "Perceptual Encryption of H.264 Videos: Embedding Sign-Flips into the Integer-based Transforms," IEEE Transactions on Information Forensics & Security, vol. 9, no. 2, February 2014, pp. 309-320. 

109. Payman Aflaki, Miska M Hannuksela, Hamed Sarbolandi, Moncef Gabbouj, "Simultaneous 2D and 3D perception for stereoscopic displays based on polarized or active shutter glasses," Journal of Visual Communication and Image Representation, vol. 25, no. 4, May 2014, pp. 622-631. 

110. Stefan Uhlmann, Serkan Kiranyaz and Moncef Gabbouj, "Semi-supervised Learning for Ill-posed Polarimetric SAR Classification," Remote Sensing, vol. 6, no. 6, 2014, pp. 4801-4830, DOI:10.3390/rs6064801. 

111. Alireza Aminlou, Jani Lainema, Kemal Ugur, Miska M. Hannuksela and Moncef Gabbouj, “Differential Coding Using Enhanced Inter-Layer Reference Picture for the Scalable Extension of H.265/HEVC Video Codec,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 11, November 2014, pp. 1945-1955.

112. T. Efimushkina, M. Gabbouj, K. Samuylov, “Analytical model in discrete time for cross-layer video communication over LTE,” Automatic Control and Computer Sciences, vol. 48, no. 6, 2015, pp. 345-357.

113. Evgeny Belyaev, Alexey Vinel, Adam Surak, and Moncef Gabbouj, Magnus Jonsson and Karen Egiazarian, “Robust vehicle-to-infrastructure video transmission for road surveillance applications,” IEEE Transactions on Vehicular Technology, vol. 64, no. 7, July 2015, pp. 2991 - 3003, DOI: 10.1109/TVT.2014.2354376.

114. Kaveh Samiee, Peter Kovacs and Moncef Gabbouj, “Epileptic Seizure Classification of EEG time-series using Rational Discrete Short Time Fourier Transform,” IEEE Transaction on Biomedical Engineering, vol. 62, no. 2, February 2015, pp. 541-552.

115. Evgeny Belyaev, Kai Liu, Moncef Gabbouj and YunSong Li, "An efficient adaptive binary range coder and its VLSI architecture," IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, 2015, pp. 1435 - 1446, DOI: 10.1109/TCSVT.2014.2372291.

116. Alexandros Iosifidis and Moncef Gabbouj, “On the kernel Extreme Learning Machine speedup,” Pattern Recognition Letters, vol.68, no. P1, pp.205-210, December 2015, D.O.I. 10.1016/j.patrec.2015.09.015.

117. F. Meng, H. Li, S. Zhu, B. Luo, C. Huang, B. Zeng, and M. Gabbouj, “Constrained Directed Graph Clustering and Segmentation Propagation for Multiple Foregrounds Co-segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, 2015, DOI: 10.1109/TCSVT.2015.2402891.

118. R.M. Garimella, M. Gabbouj, and I. Ahmad, “Image Retrieval: Information and Rough Set Theories,” Procedia Computer Science. 54, p. 631-637, 2015.

119. Morteza Zabihi, Serkan Kiranyaz, Ali Rad Bahrami, Aggelos K. Katsaggelos, Moncef Gabbouj and Turker Ince, “Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 24, no. 3, Nov. 2016, pp. 386-398.

120. Jimin Xiao, M.M. Hannuksela, T. Tillo, M. Gabbouj, Ce Zhu; Yao Zhao, “Scalable Bit Allocation Between Texture and Depth Views for 3-D Video Streaming Over Heterogeneous Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 1, pp. 139 - 152, DOI: 10.1109/TCSVT.2014.2334011, 2015.

121. K. Samiee, S. Kiranyaz, M. Gabbouj, and T. Saramäki, “Long-term epileptic EEG classification via 2D mapping and textural features,” Expert Systems with Applications, vol. 42, no. 20, 2015, p. 7175-7185, DOI 10.1016/j.eswa.2015.05.002.

122. Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj, “Training Radial Basis Function Neural Networks for Classification via Class-specific Clustering," IEEE Transactions on Neural Networks and Learning Systems, vol 27, no. 12, pp. 2458 – 2471, 2016. 

123. Michal Joachimiak, Miska M. Hannuksela, Moncef Gabbouj, “View upsampling optimization for mixed resolution 3D video coding,” Multidimensional Systems and Signal Processing, DOI 10.1007/s11045-015-0332-9, vol. 27, no. 3, July 2016, pp. 763-783. https://rdcu.be/6oJj

124. A. Aminlou, M. Hashemi, M. Gabbouj, B. Zeng, O. Fatemi, “A New R-D Optimization Criterion for Fast Mode Decision Algorithms in Video Coding and Transrating,” IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2015.2412811, vol. 26, no. 4, April 2016, pp. 696-710.

125. Alexandros Iosifidis and Moncef Gabbouj, “Nyström-based approximate kernel subspace learning,” Pattern Recognition, vol. 57, no. C, September 2016, pp. 190-197.

126. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks,” IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2015.2468589, vol. 63, no. 3, pp. 664 – 675, 2016. 

127. Mikko Roininen, J. Leppanen, A. Eronen, Igor Curcio and Moncef Gabbouj, “Modeling the Timing of Cuts in Automatic Editing of Concert Videos,” Multimedia Tools and Applications, DOI 10.1007/s11042-016-3304-7, pp. 1-25, 20 February 2016.

128. Ezgi Ozan Can, Serkan Kiranyaz and Moncef Gabbouj, “K-Subspaces Quantization for Approximate Nearest Neighbor Search," IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 7, 1 July 2016, pp. 1722 - 1733.

129. Alexandros Iosifidis and Moncef Gabbouj, “Multi-class Support Vector Machine Classifiers using Intrinsic and Penalty Graphs," Pattern Recognition, vol. 55, July 2016, pp. 231-246.

130. Caglar Aytekin, Serkan Kiranyaz, Alexandros Iosifidis and Moncef Gabbouj, “Recent Advances in Salient Object Detection - Towards Object Recognition in Big Media Data,” Futura -- Big Data, vol. 35, no. 2, pp. 80-92, 2016.

131. Caglar Aytekin, Serkan Kiranyaz and Moncef Gabbouj, “Learning to rank salient segments extracted by multispectral Quantum Cuts,” Pattern Recognition Letters, vol. 72, March 2016, pp. 91-99.

132. Xiaoni Li, Mianshu Chen, Zhowei Qu, Jimin Xiao and Moncef Gabbouj, “An effective CU size decision method for quality scalability in SHVC,” Multimedia Tools and Applications, DOI 10.1007/s11042-016-3460-9, 2016.

133. Serkan Kiranyaz, Turker Ince, Levent Eren, Murat Askar and Moncef Gabbouj, “Real-Time Motor Fault Detection by 1D Convolutional Neural Networks,” IEEE Transaction on Industrial Electronics, vol. 63, no. 11, 2016, pp. 7067 – 7075, DOI: 10.1109/TIE.2016.2582729.

134. Alexandros Iosifidis and Moncef Gabbouj, “Scaling up Class-Specific Kernel Discriminant Analysis for large-scale Face Verification,” IEEE Transactions on Information Forensics & Security, vol. 11, no. 11, pp. 2453 – 2465, 2016.

135. Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, “Competitive Quantization for Approximate Nearest Neighbor Search,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 11, 2016, pp. pp. 2884 – 2894.

136. Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola and Moncef Gabbouj, “Generalized Hampel Filters,” Eurasip Journal on Advances in Signal Processing, 2016, DOI: 10.1186/s13634-016-0383-6, 1 Dec. 2016.

137. Zhu, S., Zeng, B., Zeng, L. and Moncef Gabbouj, “Image interpolation based on non-local geometric similarities and directional gradients,” IEEE Transactions on Multimedia, vol. 18, no. 9, 1 Sep 2016, p. 1707-1719.

138. Heng Guo, Shuaicheng Liu, Tong He, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “Joint Video Stitching and Stabilization from Moving Cameras," IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2016.2607419, vol. 25, no. 11, pp. 5491 - 5503, 2016.

139. Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj, “Limited random walk algorithm for big graph data clustering,” Journal of Big Data, DOI: 10.1186/s40537-016-0060-5, 1 December 2016. http://rdcu.be/z66u. 

140. Honglei Zhang, Serkan Kiranyaz and Moncef Gabbouj, “Outlier edge detection using random graph generation models and applications,” Journal of Big Data, vol. 4, no. 11, Dec. 2017, doi.org/10.1186/s40537-017-0073-8

141. Caglar Aytekin, Ezgi Ozan Can, Serkan Kiranyaz and Moncef Gabbouj, “Extended Quantum Cuts for Unsupervised Salient Object Extraction," Multimedia Tools and Applications, vol. 76, no. 8, April 2017, pp 10443–10463, DOI: 10.1007/s11042-016-3431-1.

142. Alexandros Iosifidis and Moncef Gabbouj, “Class-Specific Kernel Discriminant Analysis revisited: further analysis and extensions,” IEEE Transactions on Cybernetics, vol. 47, no. 12, December 2017, DOI 10.1109/TCYB.2016.2612479, pp. 4485-4496.

143. Osama Abdeljaber, Onur Avci, Serkan Kiranyaz, Moncef Gabbouj, Daniel J. Inman, Real-Time Vibration-Based Structural Damage Detection Using One-Dimensional Convolutional Neural Networks," Journal of Sound and Vibration, vol. 388, pp. 154-170, Feb 3 2017, DOI 10.1016/j.jsv.2016.10.043.

144. Caglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz and Moncef Gabbouj, “Learning Graph Affinities for Spectral-based Salient Object Detection,” Pattern Recognition, vol. 64, April 2017, pp. 159–167.

145. Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Progressive Operational Perceptrons,” Neurocomputing, Volume 224, 8 February 2017, Pages 142–154. (http://dx.doi.org/10.1016/j.neucom.2016.10.044)

146. Shuaicheng Liu, Binhan Xu, Chuang Den, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “A Hybrid Approach for Near-Range Video Stabilization,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 27, no. 9, pp. 1922 – 1933, 2017.

147. Johanna Ärje, Salme Kärkkäinen, Kristian Meissner, Alexandros Iosifidis, Türker Ince, Moncef Gabbouj and Serkan Kiranyaz, “The effect of automated taxa identification errors on biological indices,” Expert Systems With Applications, vol. 72, 2017, pp. 108-120, DOI:10.1016/j.eswa.2016.12.015 (https://doi.org/10.1016/j.eswa.2016.12.015) 

148. Jenni Raitoharju, Kaveh Samiee, Serkan Kiranyaz and Moncef Gabbouj, “Particle swarm clustering fitness evaluation with computational centroids,” Swarm and Evolutionary Computation, http://doi.org/10.1016/j.swevo.2017.01.003, February 2017.

149. Pouria Babahajiani, Lixin Fan, Joni-Kristian Kamarainen, and Moncef Gabbouj,” Urban 3D Segmentation and Modelling from Street View Images and LiDAR Point Clouds,” Machine Vision and Applications, DOI 10.1007/s00138-017-0845-3, 2017. [PDF]

150. Maryam Homayouni, Payman Aflaki, Miska M. Hannuksela, Moncef Gabbouj, “Row-Interleaved Sampling for Depth Enhanced 3D Video Coding for Polarized Displays,” ACM Transactions on Applied Perception, vol. 14, no. 3, March 2017, DOI 10.1145/3047409.

151. Chen Chen, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “A New Block-Based Method for HEVC Intra Coding,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 27, no. 8, 2017, pp. 1727 – 1736.

152. Kaveh Samiee, Alexandros Iosifidis and Moncef Gabbouj, “On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks,” Expert Systems With Applications, online: 28 April 2017, DOI: 10.1016/j.eswa.2017.04.025.

153. Guanqun Cao, Alexandros Iosifidis and Moncef Gabbouj, “Multi-view Nonparametric Discriminant Analysis for Image Retrieval and Recognition,” Signal Processing Letters, vol. 24, no. 10, pp. 1537 – 1541, 2017.

154. Serkan Kiranyaz, Turker Ince and Moncef Gabbouj, “Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias,” Scientific Reports, vol. 7, no. 9270, 24 August 2017, DOI 10.1038/s41598-017-09544-z (SREP-16-52549-T) (rdcu.be/vfYE).

155. Muhammad Adeel Waris, Alexandros Iosifidis, and Moncef Gabbouj, "CNN-based Edge Filtering for Object Proposals," Neurocomputing, vol. 266, 2017, pp. 631-640, DOI: 10.1016/j.neucom.2017.05.071

156. Dat Thanh Tran; Moncef Gabbouj, Alexandros Iosifidis, “Multilinear Class-Specific Discriminant Analysis Pattern Recognition Letters, v. 100, n. C, pp. 131-136, December 2017.

157. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, “Neural class-specific regression for face verification,” IET Biometrics, IET Biometrics, September 2017, DOI: 10.1049/iet-bmt.2017.0081.

158. Guanqun Cao, Alexandros Iosifidis, Ken Chen, and Moncef Gabbouj “Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval,” IEEE Transactions on Cybernetics, vol. 48, no. 9, 2018, pp. 2542-2555, DOI: 10.1109/TCYB.2017.2742705. 

159. Caglar Aytekin, Horst Possegger, Thomas Mauthner, Serkan Kiranyaz, Horst Bischof, and Moncef Gabbouj, “Spatiotemporal Saliency Estimation by Spectral Foreground Detection,” IEEE Transactions on Multimedia, vol. 20, no. 1, pp. 82-95, DOI 10.1109/TMM.2017.2713982, Jan 2018.

160. Caglar Aytekin, Jarno Nikkanen and Moncef Gabbouj, “A Dataset for Camera Independent Color Constancy," IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 530-544, February 2018, DOI 10.1109/TIP.2017.2764264.

161. Serkan Kiranyaz, Adel Gastli, Lazhar Ben Brahim, Nasser Ahmed Al-Emadi and Moncef Gabbouj, “Real-Time Fault Detection and Identification for MMC using 1D Convolutional Neural Networks,” IEEE Transactions on Industrial Electronics, vol 66, no. 11, 2019, pp. 8760-8771.

162. Jenni Raitoharju, Ekaterina Riabchenkoa, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, Ville Tirronen, Johanna Ärje, Salme Kaärkkäinen, and Kristian Meissner, ”Benchmark Database for Fine-Grained Image Classification of Benthic Macroinvertebrates,” Image and Vision Computing, vol. 78, October 2018, pp. 73-83, https://doi.org/10.1016/j.imavis.2018.06.005

163. Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, ”Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods,” Journal of Forecasting, 22 August 2018, pp. 1-15, https://doi.org/10.1002/for.2543.

164. Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj, “Feature synthesis for image classification and retrieval via one-against-all perceptrons,” Neural Computing and Applications, (2018) 29: 943. https://doi.org/10.1007/s00521-016-2504-4.

165. Ramin Ghaznavi-Youvalari, Alireza Zare, Alireza Aminlou, Miska Hannuksela and Moncef Gabbouj, “Shared Coded Picture Technique for Tile-based Viewport-adaptive Streaming of Omnidirectional Video,” IEEE Transaction on Circuits and Systems for Video Technology, Oct. 2019, Vol. 29, Issue 10, pp. 3106-3120, DOI: 10.1109/TCSVT.2018.2874179.

166. Caglar Aytekin, Alexandros Iosifidis, and Moncef Gabbouj, “Probabilistic saliency estimation,” Pattern Recognition, vol. 74, no. C, February 2018, 359-372. DOI: https://doi.org/10.1016/j.patcog.2017.09.023

167. Dat Tran, Alexandros Iosifidis & Moncef Gabbouj, “Improving efficiency in convolutional neural networks with multilinear filters,” Neural Networks. 2018, 105, p. 328-339.

168. Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, and Moncef Gabbouj, “Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis," IEEE Transactions on Neural Networks and Learning Systems, DOI 10.1109/TETCI.2018.2872598, 2018.

169. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen and Moncef Gabbouj, “Temporal Bag-of-Features Learning for Predicting Mid Price Movements using High Frequency Limit Order Book Data,” IEEE Transactions on Emerging Topics in Computational Intelligence, 9 October 2018.

170. Kang Liao ; Chunyu Lin ; Yao Zhao ; Moncef Gabbouj ”DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time,” IEEE Transactions on Circuits and Systems for Video Technology ( Early Access, 7 Feb. 2019), vol. 30, no. 3, DOI: 10.1109/TCSVT.2019.2897984, March 2020.

171. Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, “Using Deep Learning for price prediction by exploiting stationary limit order book features,” Applied Soft Computing, no. 93, vol. 106401, Aug 2020, https://doi.org/10.1016/j.asoc.2020.106401.

172. Ymir Mäkinen, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, “Forecasting of Jump Arrivals in Stock Prices: New Attention-based Network Architecture using Limit Order Book Data,” Quantitative Finance, Quantitative Finance, Vol. 19, No. 12, 2019, p. 2033-2050.

173. Morteza Zabihi, Serkan Kiranyaz, Ville Jäntti, Tarmo Lipping, and Moncef Gabbouj, “Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines,” IEEE Journal of Biomedical and Health Informatics, March 2019, doi: 10.1109/JBHI.2019.2906400.

174. Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis, “PyGOP: A Python Library for Generalized Operational Perceptron Algorithms,” Knowledge-Based Systems, doi.org/10.1016/j.knosys.2019.06.009, October 2019.

175. Muhammad Asif Khan, Ridha Hamila, Serkan Kiranyaz and Moncef Gabbouj, “A Novel UAV-Aided Network Architecture Using Wi-Fi Direct,” IEEE Access, 10 May 2019, 10 May 2019, DOI: 10.1109/ACCESS.2019.2916041.

176. Adamantios Ntakaris, G. Mirone, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, ”Feature engineering for mid‐price prediction with deep learning,” IEEE Access, vol. 7, pp. 82390-82412, 2019.

177. Alireza Zare, Maryam Homayouni, Alireza Aminlou, Miska H. Hannuksela and Moncef Gabbouj, “6K and 8K Effective Resolution with 4K HEVC Decoding Capability for 360° Video Streaming,” ACM Transactions on Multimedia Computing, Communications, and Applications, Volume 15 Issue 2s, August 2019, doi 10.1145/3335053.

178. Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis, “Machine Learning for Forecasting Mid-Price Movement using Limit Order Book Data,” IEEE Access, DOI: 10.1109/ACCESS.2019.2916793, 2019, arXiv.

179. Ymir Mäkinen, Juho Kanniainen, Moncef Gabbouj & Alexandros Iosifidis, “Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data,” Quantitative Finance, July 2019, doi.org/10.1080/14697688.2019.1634277.

180. Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj. “Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks,” Remote Sensing, vol. 11, no. 1340, DOI:10.3390/rs11111340, June 2019.

181. Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao, Moncef Gabbouj, Aggelos K. Katsaggelos, and Simo Särkkä: Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network, DOI: 10.1109/TNNLS.2019.2914082, arXiv eess.SP cs.LG stat.ML.

182. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala, Deep Multi-view Learning to Rank, IEEE Trans. on Knowledge and Data Engineering, 20 Sept. 2019. arXiv:1801.10402.

183. D.T. Tran, S. Kiranyaz, M. Gabbouj and A. Iosifidis, “Progressive Operational Perceptron with Memory,” Neurocomputing, 31 October 2019.

184. S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Operational Neural Networks”, Neural Computing and Applications (2020). doi.10.1007/s00521-020-04780-3.

185. Muhammad Asif Khan, Ridha Hamila, Nasser Ahmed Al-Emadia, Serkan Kiranyaz, and Moncef Gabbouj, “Real-time Throughput Prediction for Cognitive Wi-Fi Networks,” Journal of Network and Computer Applications, vol. 150, 15 January 2020, https://doi.org/10.1016/j.jnca.2019.102499.

186. Kang Liao, Chunyu Lin, Yao Zhao, Moncef Gabbouj “Distortion Rectification from Static to Dynamic: A Distortion Sequence Construction Perspective,” IEEE Transactions on Circuits and Systems for Video Technology, December 2019, DOI: 10.1109/TCSVT.2019.2958199.

187. Kang Liao, Chunyu Lin, Yao Zhao, Moncef Gabbouj, & Yang Zheng, “OIDC-Net: Omnidirectional Image Distortion Correction via Coarse-to-fine Region Attention,” IEEE Journal of Selected Topics in Signal Processing. Paper: J-STSP-PDVP-00096-2019.R1, 22 Nov 2019.

188. Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity,” Neural Computing and Applications, Neural Computing and Applications, 2021. arxiv.org/abs/2009.08934.

189. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, & Anastasios Tefas, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” Pattern Recognition Letters, Dec 2019.

190. Dat Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis, “Heterogeneous Multilayer Generalized Operational Perceptron," IEEE Transactions on Neural Networks and Learning Systems, (early access May 31, 2019), vol. 31, no. 3, March 2020, DOI: 10.1109/TNNLS.2019.2914082, pp. 710-724.

191. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, “Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data,” Pattern Recognition Letters, DOI 10.1016/j.patrec.2020.06.006, June 2020.

192. Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, and Moncef Gabbouj, “Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits,” Pattern Recognition, September 2020, DOI: 10.1016/j.patcog.2020.107346.

193. Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas, “Recurrent bag-of-features for visual information analysis,” Pattern Recognition, no. 106, vol. 107380, Oct 2020, https://doi.org/10.1016/j.patcog.2020.107380.

194. Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj, “Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolutional Neural Networks,” Neurocomputing, 19 May 2020, https://doi.org/10.1016/j.neucom.2020.05.063. 

195. Serkan Kiranyaz; Onur Avci; Osama Abdeljaber; Turker Ince; Moncef Gabbouj; Daniel Inman, ”1D Convolutional Neural Networks and Applications - A Survey,” Mechanical Systems and Signal Processing, Volume 151, April 2021, 107398, https://doi.org/10.1016/j.ymssp.2020.107398.

196. .

197. Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Salme Kärkkäinen, “Human experts vs. machines in taxa recognition,” Signal Processing: Image Communication, Volume 87, September 2020, 115917, https://doi.org/10.1016/j.image.2020.115917.

198. Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, ” Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators,” Plos One, accepted June 2020.

199. Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye, “Automatic image-based identification and biomass estimation of invertebrates,” Methods in Ecology and Evolution, DOI: 10.1111/2041-210X.13428, accepted June 2020.

200. Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, and Moncef Gabbouj,” Bag of Color Features For Color Constancy,” IEEE Transactions on Image Processing, Vol. 29, pp. 7722-7734, DOI: 10.1109/TIP.2020.30049212020.

201. Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, ” Ellipsoidal Subspace Support Vector Data Description,” IEEE Access, Volume 8, DOI: 10.1109/ACCESS.2020.3007123, July 2020, pp. 122013-122025.

202. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj & Alexandros Iosifidis, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” IEEE Transactions on Neural Networks and Learning Systems, Sept 2020, Volume: 31, Issue: 9, Page(s): 3760-3765, DOI: 10.1109/TNNLS.2019.2944933.

203. Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj, “Speed-up and Multi-view Extensions to Subclass Discriminant Analysis,” Pattern Recognition, Volume 111, March 2021, 107660, doi: https://doi.org/10.1016/j.patcog.2020.107660. 

204. Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bulent Sankur, and Moncef Gabbouj, “Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1014-1028, 2021.

205. Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, “Multimodal Subspace Support Vector Data Description,” Pattern Recognition, Volume 110, February 2021, 107648 https://doi.org/10.1016/j.patcog.2020.107648.  

206. Jorge Peña Queralta, Jussi Taiplamaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, and Tomi Westerlund, “Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception and Active Vision,” IEEE Access, pp. 191617 – 191643, October 2020.

207. Yupeng Ma, Xiaoyue Jiang, Zhaoqiang Xia, Moncef Gabbouj and Xiaoyi Feng, “CasQNet: Intrinsic Image Decomposition Based on Cascaded Quotient Network,” IEEE Transactions on Circuits and Systems for Video Technology, September 2020, DOI: 10.1109/TCSVT.2020.3024687.

208. Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, “Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks,” GIScience Remote Sensing, December 2020, https://doi.org/10.1080/15481603.2020.1853948.

209. Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman, “A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications, Mechanical Systems and Signal Processing, volume 147, Jan 2021, 107077.

210. Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan El Fadil Ahmed, Rayyan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, and Moncef Gabbouj, “Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection,” IEEE Access, accepted 2020, arXiv preprint arXiv:2008.04615.

211. Anton Muravev, Jenni Raitoharju and Moncef Gabbouj, “Neural Architecture Search by Estimation of Network Structure Distributions,” IEEE Access, 2021, arXiv:1908.06886

212. Junaid Malik, Serkan Kiranyaz, and Moncef Gabbouj, “Self-Organized Operational Neural Networks for Severe Image Restoration Problems,” Neural Networks, Volume 135, March 2021, Pages 201-211 [open access], also in arXiv.org, 2020, https://arxiv.org/abs/2008.12894. 

213. Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Mohamad Chowdhury, Moncef Gabbouj, (2020). Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images. arXiv preprint arXiv:2005.04014. IEEE Transactions on Neural Network and Learning Systems, accepted, 2021.

214. Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, and Moncef Gabbouj, "INTEL-TAU: A Color Constancy Dataset," IEEE Access, vol. 9, 2021, pp. 39560-39567, Digital Object Identifier: 10.1109/ACCESS.2021.3064382, 

215. Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj, “Infection Map Generation and Pneumonia Detection from Chest X-Ray Images,” Health Information Science and Systems, 2021, accepted.

216. Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Self-Organized Operational Neural Networks with Generative Neurons,” Neural Networks, accepted 2021, http://arxiv.org/abs/2004.11778.

217. Lei Xu, Jenni Raitoharju, Alexandros Iosifidis and Moncef Gabbouj, “Saliency-based Multi-label Linear Discriminant Analysis,” IEEE Transactions on Cybernetics, accepted, 2021.

218. A. Degerli, M. Zabihi, S. Kiranyaz, T. Hamid, R. Mazhar, R. Hamila, and M. Gabbouj, "Early Detection of Myocardial Infarction in Low-Quality Echocardiography," in IEEE Access, vol. 9, pp. 34442-34453, 2021, doi: 10.1109/ACCESS.2021.3059595.

B. Patents and invention disclosures

219. Y. Neuvo, M. Gabbouj, K. Kalliojärvi, J. Kontro, O. Vainio, “Method and apparatus for converting an analog signal to a digital floating-point number to an analog signal,” Finnish Patent No. 96810, 1996, and European Patent no. EP626763, 1999.

220. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Time slicing and statistical multiplexing in a digital broadcast network,” US Patent No. US20080298337, 2008.

221. Jari Koivusaari, Moncef Gabbouj and Hexin Chen, “METHOD AND ARRANGEMENT FOR SYNCHRONIZING DIGITAL MULTIMEDIA SIGNALS,” Patent filed no. WO2010119171, 2010.

222. Imed Bouazizi, Lukasz Kondrad and Moncef Gabbouj, “ERROR CORRECTION BASED ON REPLACING PADDING BITS BY ADDITIONAL PARITY CHECK BITS,” Patent No. WO2011091850, 2011 (filed).

223. Payman Aflaki, Miska Matias Hannuksela and Moncef Gabbouj, “Cross-asymmetric mixed-resolution stereoscopic video compression,” Nokia Invention Report, NC78287, Provisional Patent Application, filed 61/638389, 2012.

224. Martin Schrader, Joachimiak Michal Andrzej, Moncef Gabbouj, “Method and apparatus for mobile device position detection on the wireless charging pad,” Invention Report, Nokia 2013.

225. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Personalized ECG Monitoring for Early Detection of Cardiac Abnormalities,” US Patent No. 10,856,763, 8 Dec. 2020.

226. Serkan Kiranyaz, Turker Ince, Moncef Gabbouj and Ridha Hamila, “Method and apparatus for performing feature classification on electrocardiogram data, US Patent no. US20180032689, 2018.

227. Serkan Kiranyaz, Turker Ince, Moncef Gabbouj and Alexandros Iosifidis, “Generalized Operational Perceptrons: New Generation Artificial Neural Networks,” US Patent No. WO 2018/146514 A9, 16 Aug. 2018 (Application no. PCT/IB2017/050658).

228. Mikko Roininen and Moncef Gabbouj, “Methods for modeling music related editing rules in automatic crowdsourced media editing, NC79361.

229. Serkan Kiranyaz, Turker Ince and Moncef Gabbouj, “GENERALIZED OPERATIONAL PERCEPTRONS: NEW GENERATION ARTIFICIAL NEURAL NETWORKS,” Chinese Patent No. CN 110300979 A, 1 October 2019. 

230. Serkan Kiranyaz, Junaid Malik, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Self-organized operational neural networks with generative neurons,” US Patent Application No. 63/133,128; filed on 31 Dec. 2020.

231. Serkan Kiranyaz, Junaid Malik, Turker Ince and Moncef Gabbouj, “Super neurons with non-localized kernel operations,” US Patent Application No. 63/133,137, filed on 31 Dec. 2020.

232. Serkan Kiranyaz, Aysen Degerli, Mete Ahishali, Mehmet Yamac, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj, “Infection Map Generation and Pneumonia Detection from Chest X-Ray Images,” US Patent Application, filed Oct. 2020

233. Serkan Kiranyaz, Turker Ince, Levent Eren, Murat Askar and Moncef Gabbouj, METHOD AND APPARATUS FOR PERFORMING MOTOR-FAULT DETECTION VIA CONVOLUTIONAL NEURAL NETWORKS, Chinese Patent Application No.2016800868331, June 17, 2016.

Head of Unit, Languages, Faculty of Information Technology and Communication Scineces, 2024->  

Head of the Doctoral Programme in Language Studies (DPLA), 2022-2023

Member of the Ethics committee of the Tampere Region (non-medical research), 2020-2023

Member of the executive team of Langnet - a network for doctoral programmes in language studies, 2022-2023

Director of Plural (Multidisciplinary Research Centre for Languages and Cultures) 2017-2019

• Mediated Arctic Geographies (Academy of Finland, 2019-2023)

• H2020 A-WEAR MSCA EJD (2019-2023)
• Academy of Finland ULTRA (2020-2022)
• Academy of Finland PRISMA (2018-2019)
• H2020 SJU GATEMAN (2018-2019)
• H2020 SJU EMPHASIS (2018-2020)

https://tutcris.tut.fi/portal/en/persons/elenasimona-lohan(b46cb183-d168-4ed9-8fed-9451f03e8039)/publications.html

• Research team page

Please see my Google Scholar profile at https://scholar.google.fi/citations?user=_4wz2YAAAAAJ

• ResearchGate

• Multimodal Translation with the Blind (Academy of Finland, 2017-2020)
• Methods for Managing Audiovisual data (EU H2020, 2018-2021)
• Guided Audio Captioning for Complex Acoustic Environments (Jane and Aatos Erkko Foundation, 2022-2023)
• Using Language to Interpret Unstructured Data (Emil Aaltonen Foundation, 2021-2023)

See publications and other research activities at the university's research portal.

• Emerging Technologies Lab
• Online addictions
• Social Media at Work
• AI in Society
• Cyberhate
• Urban utopias and dystopias: artificial intelligence in art and society (UrbanAI)
• Gambling in the Digital Age
• Self and Technology EU-6

2022–2025 Board member, Finnish Research Infrastructures Committee, Academy of Finland 

2022–2024 Board member, Research Council for Culture and Society, Academy of Finland 

2021–2022 Member assessment group for gambling harms and risks, Ministry of Social Affairs and Health 

2020– A-Clinic Foundation, member of board 

2019–2020 Member assessment group for gambling harms and risks, Ministry of Social Affairs and Health 

Currently editorial board member of Scientific Reports (Nature) and Human Behavior and Emerging Technologies.

1. Oksanen, A., Celuch, M., Latikka, R., Oksa, R., & Savela, N. (2022). Hate and harassment in academia: The rising concern of the online environment. Higher Education, 84, 541–567.

2. Oksanen, A., Oksa, R., Savela, N. Mantere, E., Savolainen, I., & Kaakinen, M. (2021). COVID-19 Crisis and Digital Stressors at Work: A Nationwide Longitudinal Study. Computers in Human Behavior https://doi.org/10.1016/j.chb.2021.106853. 

3. Savela, N., Oksanen, A., Pellert, M, & Garcia, D. (2021). Emotional reactions to robot colleagues in a role-playing experiment. International Journal of Information Management, 60, https://doi.org/10.1016/j.ijinfomgt.2021.102361. 

4. Oksanen, A., Kaakinen, M., Minkkinen, J., Räsänen, P., Enjolras, B., & Steen-Johnsen, K. (2020). Perceived societal fear and cyberhate after the November 2015 Paris Terrorist Attacks. Terrorism & Political Violence, 32(5), 1047–1066. https://doi.org/10.1080/09546553.2018.1442329.   

5. Keipi, T., Näsi, M., Oksanen, A., & Räsänen, P. (2017). Online Hate and Harmful Content: Cross-National Perspectives. Abingdon & New York: Routledge.   

6. Aaltonen, M., Oksanen, A., & Kivivuori, J. (2016). Debt Problems and Crime. Criminology, 54(2), 307–33. https://doi.org/10.1111/1745-9125.12103.  

7. Oksanen, A., Aaltonen, M., & Kivivuori, J. (2015). Driving under the Influence as a Turning Point? A Register-based Study on Financial and Social Consequences among First-time Male Offenders. Addiction, 110(3), 471–478. https://doi.org/10.1111/add.12777.   

8. Oksanen, A., Garcia, D., Sirola, A., Näsi, M., Kaakinen, M., Keipi, T., & Räsänen, P. (2015). Pro-Anorexia and anti-pro-anorexia videos on YouTube: Sentiment analysis of user responses. Journal of Medical Internet Research, 17(11):e256. https://doi.org/10.2196/jmir.5007.  

9. Oksanen, A. Hawdon, J., & Räsänen, P. (2014). Glamorizing Rampage Online: School Shooting Fan Communities on YouTube. Technology in Society, 39, 55–67. https://doi.org/10.1016/j.techsoc.2014.08.001.  

10. Oksanen, A. (2013). Deleuze and the Theory of Addiction. Journal of Psychoactive Drugs, 45(1), 57–67. https://doi.org/10.1080/02791072.2013.763563. 

• ResearchGate
• Google Scholar
• Emerging Technologies Lab
• Scopus
• Web of Science

• HEU SustAInLivWork
• HEU JARVIS
• H2020 ODIN
• H2020 OpenDR - Open Deep Learning Toolkit for Robotics
• HIP - ROBOT: Robotics and AI for monitoring and intervention
• H2020 METRICS - Metrological Evaluation and Testing of Robots in International Competitions
• AI Hub Tampere for Intelligent Machines
• H2020 DIH TRINITY

Vice-chair of IEEE Finland CSS/RAS/SMCS Joint Chapter

See my research group's website 

• Cognitive Robotics group

• Gamification Group