Jim Tørresen

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Norwegian version of this page
Phone +47 22852454
Mobile phone +47 92846669
Room 4404
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Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

Jim Torresen received his M.Sc. and Dr.ing. (Ph.D) degrees in computer architecture and design from the Norwegian University of Science and Technology, University of Trondheim in 1991 and 1996, respectively. He has been employed as a senior hardware designer at NERA Telecommunications (1996-1998) and at Navia Aviation (1998-1999). Since 1999, he has been a professor at the Department of Informatics at the University of Oslo (associate professor 1999-2005). Jim Torresen has been a visiting researcher at Kyoto University, Japan for one year (1993-1994), four months at Electrotechnical laboratory, Tsukuba, Japan (1997 and 2000) and a visiting professor at Cornell University, USA for one year (2010-2011).

His research interests at the moment include bio-inspired computing, machine learning, reconfigurable hardware, robotics and applying this to complex real-world applications. Several novel methods have been proposed. He has published approximately 150 scientific papers in international journals, books and conference proceedings. 10 tutorials and several invited talks have been given at international conferences. He is in the program committee of more than ten different international conferences, associate editor of three international scientific journals as well as a regular reviewer of a number of other international journals. He has also acted as an evaluator for proposals in EU FP7 and Horizon2020 and is currently project manager/principle investigator in four projects funded by the Research Council of Norway.

See more information on my other web page.

TEDx Oslo May 2017

Picture: Stine Moen, Studio Vest Fotografer

Tags: Robotics, Artificial Intelligence, Adaptable Systems, Reconfigurable hardware, Biology-inspired Computing, Evolutionary Computing, Evolvable Hardware

Publications

  • Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse; Sepasdar, Zahra & Nordgreen, Tine [Show all 9 contributors for this article] (2022). Complexity and variability analyses of motor activity distinguish mood states in Bipolar Disorder. PLOS ONE. ISSN 1932-6203. doi: 10.1371/journal.pone.0262232.
  • Baselizadeh, Adel; Saplacan, Diana & Tørresen, Jim (2021). Adaptive Real-time Learning-based Neuro-Fuzzy Control of Robot Manipulators. In Plapper, Peter (Eds.), 9th International Conference on Control, Mechatronics and Automation (ICCMA2021). IEEE conference proceedings. ISSN 978-1-6654-10731. p. 20–26. doi: 10.1109/ICCMA54375.2021.9646224.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Evolving Neuromodulated Controllers in Variable Environments, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems . IEEE. ISSN 978-1-6654-1261-2. p. 164–169. doi: 10.1109/ACSOS52086.2021.00037.
  • Zicari, RV; Brusseau, James; Blomberg, Stig Nikolaj Fasmer; Christensen, Helle Collatz; Coffee, Megan & Ganapini, Marianna B [Show all 12 contributors for this article] (2021). On Assessing Trustworthy AI in Healthcare: Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls. Frontiers in Human Dynamics. ISSN 2673-2726. 3(673104). doi: https%3A/doi.org/10.3929/ethz-b-000500065.
  • Pham, Hoang Minh; Noori, Farzan Majeed & Tørresen, Jim (2021). Emotion Recognition using Speech Data with Convolutional Neural Network. In Bouani, Faouzi (Eds.), 2021 International Conference on Signal, Control and Communication (SCC). IEEE conference proceedings. ISSN 9781728135977.
  • Tariverdi, Abbas; Venkiteswaran, Venkatasubramanian Kalpathy; Richter, Michiel; Elle, Ole Jakob; Tørresen, Jim & Mathiassen, Kim [Show all 7 contributors for this article] (2021). A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators. Frontiers in Robotics and AI. ISSN 2296-9144. doi: 10.3389/frobt.2021.631303.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav; Skeie, Tor & Tørresen, Jim (2021). Known Performance Issues Are Prevalent in Consumer WiFi Routers, 17th International Conference on Network and Service Management, CNSM 2021. IEEE. ISSN 978-3-903176-36-2. p. 254–258. doi: 10.23919/CNSM52442.2021.9615514.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Transactions on Autonomous and Adaptive Systems. ISSN 1556-4665. 15(4). doi: 10.1145/3487918.
  • Tørresen, Jim (2021). Undertaking Research with Humans within Artificial Intelligence and Robotics: Multimodal Elderly Care Systems. Technology Architecture + Design (TAD). ISSN 2475-1448. 5(2), p. 141–145. doi: 10.1080/24751448.2021.1967052.
  • Ahmadi, Arash; Till, Katharina; Backe, Paul Hoff; Blicher, Pernille; Diekmann, Robin & Schüttpelz, Mark [Show all 10 contributors for this article] (2021). Non-flipping DNA glycosylase AlkD scans DNA without formation of a stable interrogation complex. Communications Biology. ISSN 2399-3642. doi: 10.1038/s42003-021-02400-x.
  • Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode & Inal, Yavuz [Show all 23 contributors for this article] (2021). Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health. Journal of Enabling Technologies (JET). ISSN 2398-6263. 15(4), p. 241–251. doi: 10.1108/JET-03-2021-0013. Full text in Research Archive
  • Wallace, Benedikte; Martin, Charles Patrick; Tørresen, Jim & Nymoen, Kristian (2021). Exploring the Effect of Sampling Strategy on Movement Generation with Generative Neural Networks, EvoMUSART 2021: Artificial Intelligence in Music, Sound, Art and Design. Springer Nature. ISSN 978-3-030-72913-4. p. 344–359. doi: 10.1007/978-3-030-72914-1_23.
  • Wallace, Benedikte; Martin, Charles Patrick; Tørresen, Jim & Nymoen, Kristian (2021). Learning Embodied Sound-Motion Mappings: Evaluating AI-Generated Dance Improvisation, C&C'21: Proceedings of the 13th Conference on Creativity and Cognition. Association for Computing Machinery (ACM). ISSN 9781450383769. doi: 10.1145/3450741.3465245.
  • Hosseinpoor, Sadegh; Mantelli, Mathias; Pittol, Diego; Kolberg, Mariana; Maffei, Renan & Prestes, Edson [Show all 7 contributors for this article] (2021). Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots. In Xie, Xiaolan & Dauzère-Pérès, Stéphane (Ed.), Proceedings of the 17th International Conference on Automation Science and Engineering (CASE2021). IEEE. ISSN 978-0-7381-2502-2.
  • Khaksar, Weria; Neggers, Margot; Barakova, Emilia Ivanova & Tørresen, Jim (2021). Generation Differences in Perception of the Elderly Care Robot. In Caleb-Solly, Praminda; Ghafurian, Moojan; Johnson, Michelle & Wada, Kazuyoshi (Ed.), Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication (ROMAN). IEEE. ISSN 978-1-6654-0492-1. p. 551–558. doi: 10.1109/RO-MAN50785.2021.9515534.
  • van Otterdijk, Marieke; Neggers, Margot; Tørresen, Jim & Barakova, Emilia Ivanova (2021). Preferences of Seniors for Robots Delivering a Message With Congruent Approaching Behavior, Proceedings of the 2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO) Virtual Conference, July 8-10, 2021. IEEE Robotics and Automation Society. ISSN 978-1-6654-4952-6.
  • Saplacan, Diana; Khaksar, Weria & Tørresen, Jim (2021). On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps, Proceedings of the 2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO) Virtual Conference, July 8-10, 2021. IEEE Robotics and Automation Society. ISSN 978-1-6654-4952-6. p. 219–226.
  • Karbasi, Seyed Mojtaba; Godøy, Rolf Inge; Jensenius, Alexander Refsum & Tørresen, Jim (2021). A Learning Method for Stiffness Control of a Drum Robot for Rebounding Double Strokes. In Zhang, Dan (Eds.), 2021 7th International Conference on Mechatronics and Robotics Engineering (ICMRE). IEEE. ISSN 978-0-7381-3205-1. p. 54–58. doi: 10.1109/ICMRE51691.2021.9384843. Full text in Research Archive
  • Nygaard, Tønnes; Martin, Charles Patrick; Howard, David; Tørresen, Jim & Glette, Kyrre (2021). Environmental Adaptation of Robot Morphology and Control Through Real-world Evolution. Evolutionary Computation. ISSN 1063-6560. doi: 10.1162/evco_a_00291. Full text in Research Archive
  • Nygaard, Tønnes; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre & Howard, David (2021). Real-world embodied AI through a morphologically adaptive quadruped robot. Nature Machine Intelligence. doi: 10.1038/s42256-021-00320-3. Full text in Research Archive
  • Mantelli, Mathias; Pittol, Diego; Maffei, Renan; Tørresen, Jim; Prestes, Edson & Kolberg, Mariana (2021). Semantic Active Visual Search System Based on Text Information for Large and Unknown Environments. Journal of Intelligent and Robotic Systems. ISSN 0921-0296. 101(2). doi: 10.1007/s10846-020-01298-7.
  • Martin, Charles Patrick & Tørresen, Jim (2020). Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam . Computer Music Journal. ISSN 0148-9267. 43(4), p. 41–57. doi: 10.1162/comj_a_00536.
  • Lunsæter, Sivert Frang; Iwashita, Yumi; Stoica, Adrian & Tørresen, Jim (2020). Terrain Classification from an Aerial Perspective. In Gabbar, Hossam A. & Trajkovic, Ljiljana (Ed.), Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) . IEEE conference proceedings. ISSN 978-1-7281-8527-9. p. 173–177. doi: 10.1109/SMC42975.2020.9283333.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2020). Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE. ISSN 978-1-7281-7278-1. p. 129–138. doi: 10.1109/ACSOS49614.2020.00034.
  • Tariverdi, Abbas; Venkiteswaran, Venkatasubramanian Kalpathy; Martinsen, Ørjan Grøttem; Elle, Ole Jacob; Tørresen, Jim & Misra, Sarthak (2020). Dynamic modeling of soft continuum manipulators using lie group variational integration. PLOS ONE. ISSN 1932-6203. 15:e0236121(7), p. 1–29. doi: 10.1371/journal.pone.0236121. Full text in Research Archive
  • Uddin, Md Zia; Noori, Farzan Majeed & Tørresen, Jim (2020). In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning. In Noori, Farzan Majeed (Eds.), IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE. ISSN 978-1-7281-7314-6. p. 1089–1093. doi: 10.1109/UkrMW49653.2020.9252708.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Show all 8 contributors for this article] (2020). Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls. PLOS ONE. ISSN 1932-6203. 15:e0231995(8), p. 1–16. doi: 10.1371/journal.pone.0231995. Full text in Research Archive
  • Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes & Tørresen, Jim (2020). Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning. Frontiers in Artificial Intelligence. ISSN 2624-8212. 3(6). doi: 10.3389/frai.2020.00006.
  • Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim & Jensenius, Alexander Refsum (2020). Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks. In Spagnol, Simone & Valle, Andrea (Ed.), Proceedings of the 17th Sound and Music Computing Conference. Axea sas/SMC Network. ISSN 978-88-945415-0-2. p. 177–184. Full text in Research Archive
  • Saplacan, Diana; Herstad, Jo; Tørresen, Jim & Pajalic, Zada (2020). A Framework on Division of Work Tasks between Humans and Robots in the Home. Multimodal Technologies and Interaction. ISSN 2414-4088. 4(3). doi: 10.3390/mti4030044. Full text in Research Archive
  • Noori, Farzan; Riegler, Michael; Uddin, Md Zia & Tørresen, Jim (2020). Human Activity Recognition from Multiple Sensors Data Using Multi-Fusion Representations and CNNs. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP). ISSN 1551-6857. 16(2). doi: 10.1145/3377882.
  • Woll, Anita & Tørresen, Jim (2020). Bridging the User Barriers of Home Telecare. Advances in Intelligent Systems and Computing. ISSN 2194-5357. 1069, p. 816–835. doi: 10.1007/978-3-030-32520-6_59.
  • Martin, Charles Patrick & Tørresen, Jim (2019). Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. Computer Music Journal. ISSN 0148-9267. 43(4). Full text in Research Archive
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. In Jayne, Chrisina & Somogyvári, Zoltán (Ed.), 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE. ISSN 978-1-7281-1985-4. doi: 10.1109/IJCNN.2019.8851746. Full text in Research Archive
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults, 9th International Conference on Intelligent Systems (IS’18). IEEE. ISSN 978-1-5386-7098-9. p. 662–668. doi: 10.1109/IS.2018.8710467.
  • Schulz, Trenton Wade; Holthaus, Patrick; Amirabdollahian, Farshid; Koay, Kheng Lee; Tørresen, Jim & Herstad, Jo (2019). Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task. In Cabibihan, John-John; Mary Anne, Williams; Asokan, T & Behera, Laxmidhar (Ed.), 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE. ISSN 978-1-7281-2622-7. doi: 10.1109/RO-MAN46459.2019.8956355.

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  • Tørresen, Jim (2021). Plans for exploitation Bipolar Case. The INTROMAT closing seminar 2021.
  • Tørresen, Jim (2021). Training Personalised Mental Health Intervention Systems. The INTROMAT closing seminar 2021.
  • Tørresen, Jim (2021). Introducing a Multimodal Elderly Care Safety Alarm Robot.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in the Development and Use of Neural Information Processing Systems.
  • Tørresen, Jim (2021). Training Personalised Mental Health Intervention Systems.
  • Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse; Sepasdar, Zahra & Nordgreen, Tine [Show all 9 contributors for this article] (2021). Motor activity analyses distinguish manic and euthymic mood states in bipolar disorder. Bipolar Disorders. ISSN 1398-5647. 23. doi: 10.1111/bdi.13098.
  • Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse; Sepasdar, Zahra & Nordgreen, Tine [Show all 9 contributors for this article] (2021). Motor activity analyses distinguish manic and euthymic mood states in bipolar disorder.
  • Tørresen, Jim (2021). How to achieve ethical artificial intelligence (AI) research and development?
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2021). Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access. ISSN 2169-3536. doi: 10.1109/ACCESS.2021.3117667.
  • Karbasi, Seyed Mojtaba; Haug, Halvor Sogn; Kvalsund, Mia-Katrin; Krzyzaniak, Michael Joseph & Tørresen, Jim (2021). A Generative Model for Creating Musical Rhythms with Deep Reinforcement Learning.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). How to write a scientific paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep reinforcement learning.
  • Tørresen, Jim; Saplacan, Diana; Lintvedt, Mona Naomi; Mahler, Tobias & Fosch-Villaronga, Eduard (2021). Tutorial: Ethical and Legal Assessments Related to Robots and Systems .
  • Tørresen, Jim (2021). Tutorial: Intelligent System Research – AI Ethical Challenges and Opportunities.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in Robotics and Automation.
  • Tørresen, Jim (2021). Tutorial: Explainability, Trust and Ethics for Robots and Autonomous Systems.
  • Tørresen, Jim (2021). INTROMAT: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology.
  • Tørresen, Jim (2021). Kunstig intelligens – allsidig i metoder og anvendelser.
  • Saplacan, Diana; Tørresen, Jim; Mahler, Tobias & Fosch-Villaronga, Eduard (2021). Robots and Society: Ethical, Legal, and Technical Perspectives on Integrating Robots in the Home- and Healthcare Systems and Services (RO-SO).
  • Saplacan, Diana; Khaksar, Weria & Tørresen, Jim (2021). On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps.
  • Saplacan, Diana; Khaksar, Weria & Tørresen, Jim (2021). On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps.
  • Karbasi, Seyed Mojtaba; Godøy, Rolf Inge; Jensenius, Alexander Refsum & Tørresen, Jim (2021). A Learning Method for Stiffness Control of a Drum Robot for Rebounding Double Strokes.
  • Tørresen, Jim (2020). Ethical Consideration in Robotics and Intelligent Systems Research.
  • Tørresen, Jim (2020). Tutorial: Ethical Challenges and Opportunities within Computational Intelligence System Development.
  • Tørresen, Jim (2020). Addressing ethical challenges within evolutionary computation applications: GECCO 2020 tutorial. In Coello Coello, Carlos A. (Eds.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. p. 1206–1223. doi: https%3A/doi-org.ezproxy.uio.no/10.1145/3377929.3389894.
  • Tørresen, Jim (2020). Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial. In Kuflik, Tsvi; Torre, Ilaria & Burke, Robin (Ed.), Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). ISSN 978-1-4503-6861-2. p. 390–391.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Show all 8 contributors for this article] (2020). Applying Machine Learning in Motor Activity Time Series of Depressed Bipolar and Unipolar Patients. .
  • Jakobsen, Petter; Riegler, Michael; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt & Ødegaard, Ketil Joachim (2020). Complexity analysis of motor activity shows differences for patients with bipolar I disorder in manic and euthymic phases.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Write a Scientific Paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep reinforcement learning.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep Neural Networks.
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2020). Presentation on In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning.
  • Tørresen, Jim; Kurazume, Ryo & Prestes, Edson (2020). Guest Editorial: Special Issue on Elderly Care Robotics – Technology and Ethics . Journal of Intelligent and Robotic Systems. ISSN 0921-0296. 98, p. 3–4. doi: 10.1007/s10846-020-01148-6.
  • Tørresen, Jim (2020). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2020). A collaboration journey to Japan that started for more than 25 years ago.
  • Tørresen, Jim (2020). Intelligent Robots and Systems for Foundational and Applied Healthcare Research.
  • Tørresen, Jim (2020). Interdisciplinary Research Collaboration in Rhythm, Time and Motion.
  • Tørresen, Jim (2020). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • Tørresen, Jim (2020). Tutorial: Addressing Ethical Challenges within Evolutionary Computation Applications.
  • Tørresen, Jim (2020). Addressing Ethical Challenges for Care Giving Robots.
  • Wallace, Benedikte; Nymoen, Kristian; Martin, Charles Patrick & Tørresen, Jim (2020). Towards Movement Generation with Audio Features.
  • Tørresen, Jim (2019). Slik skal kunstig intelligens lære å huske. [Internet]. DIGI.NO.
  • Tørresen, Jim (2019). Kunstig intelligens endrer din verden . [Business/trade/industry journal]. APOLLON.
  • Ingjerd, Helene; Mikkelsen, Øyvind & Tørresen, Jim (2019). Hva vil vi bruke kunstig intelligens til? [Newspaper]. Aftenposten.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events.
  • Tørresen, Jim (2019). Etikk blir viktigare for tilgang til pengesekken . [Business/trade/industry journal]. Forskningsetikk.
  • Eijsink, Henrik; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Control. Universitetet i Oslo.
  • Nergård, Katrine Linnea; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Robot Control. Universitetet i Oslo.
  • Orten, Mathias Kramer & Tørresen, Jim (2021). Machine Ethics for Autonomous systems – Learning verifiable rules from the environment. Universitetet i Oslo.
  • Wang, Lina; Tørresen, Jim & Noori, Farzan Majeed (2021). Emergency Monitoring of Older People Using Multiple Sensors with Privacy in Consideration. Universitetet i Oslo.
  • Valer, Rafael; Tørresen, Jim & Nedel, Luciana (2020). Musical Brush: Development and Exploration of a Tool that Supports Creativity by Combining Music with Drawing. Universidade Federal do Rio Grande do Sul.
  • Primstad, Pål; Tørresen, Jim & Iwashita, Yumi (2020). A Thermal and RGB feature extraction system for use in autonomous navigation. Universitetet i Oslo.
  • Akhsarbek, Gozoev; Tørresen, Jim & Iwashita, Yumi (2020). Ultra-Low Image Resolution Human Identification. Universitetet i Oslo.
  • Camelo, Guilherme Antonio; Tørresen, Jim & Vicari, Rosa Maria (2019). Human path prediction through machine learning trained with 2D video data and estimated 3D pose data. Federal University of Rio Grande do Sul.
  • Lunsæter, Sivert Frank; Tørresen, Jim & Iwashita, Yumi (2019). Terrain Classification from an Aerial Perspective in Real-time using Machine Learning. Universitetet i Oslo.
  • Wong, Key Lung; Tørresen, Jim & Kurazume, Ryo (2019). Emotion Recognition using Physiological Sensors. Universitetet i Oslo.
  • Hosseinpoor, Sadegh; Tørresen, Jim & Mantelli, Mathias (2019). Semantic Terrain Segmentation with an Original RGB Data Set, Targeting Elevation Differences. Universitetet i Oslo.
  • Thorstensen, Magnus; Tørresen, Jim & Barone, Dante (2019). Brain Computer Interface with Convolutional Neural Networks. Universitetet i Oslo.
  • Carlsen, Per Antoine; Tørresen, Jim & Riek, Laurel (2019). Real-Time Person Re-Identification for Mobile Robots to Improve Human-Robot Interaction. Universitetet i Oslo.
  • Næss, Torgrim Rudland; Martin, Charles Patrick & Tørresen, Jim (2019). A Physical Intelligent Instrument using Recurrent Neural Networks. Universitetet i Oslo.

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Published Nov. 4, 2010 2:23 PM - Last modified Mar. 17, 2021 12:59 PM