Jim Tørresen

Image of Jim Tørresen
Norwegian version of this page
Phone +47 22852454
Mobile phone +47 92846669
Room 4404
Username
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

  • Côté-Allard, Ulysse Teller Masao; Pham, Hoang Minh; Schultz, Alexandra K.; Nordgreen, Tine & Tørresen, Jim (2022). Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach. IEEE journal of biomedical and health informatics. ISSN 2168-2194. doi: 10.1109/JBHI.2022.3204737.
  • Saplacan, Diana & Tørresen, Jim (2022). Robots as Welfare Technologies to Reduce Falls Amongst Older Adults: An Explorative Study from Norway, Human Aspects of IT for the Aged Population. Technology in Everyday Living. Lecture Notes in Computer Science. LNCS 13331. Springer Nature Switzerland AG. ISSN 978-3-031-05654-3. p. 88–106.
  • Ruud, Markus Toverud; Sandberg, Tale Hisdal; Tranvaag, Ulrik Johan Vedde; Wallace, Benedikte; Karbasi, Seyed Mojtaba & Tørresen, Jim (2022). Reinforcement Learning Based Dance Movement Generation. In Carlson, Kristin (Eds.), MOCO '22: Proceedings of the 8th International Conference on Movement and Computing. Association for Computing Machinery (ACM). ISSN 978-1-4503-8716-3. doi: 10.1145/3537972.3538007. Full text in Research Archive
  • Karbasi, Seyed Mojtaba; Jensenius, Alexander Refsum; Godøy, Rolf Inge & Tørresen, Jim (2022). A Robotic Drummer with a Flexible Joint: the Effect of Passive Impedance on Drumming. In Michon, Romain; Pottier, Laurent & Orlarey, Yann (Ed.), Proceedings of the 19th Sound and Music Computing Conference. SMC Network. ISSN 9782958412609. p. 232–237. doi: 10.5281/zenodo.6797833. Full text in Research Archive
  • Lopez, Diego A.; Lopez, Manuel A.; Munoz, Dario S.; Santa, Jesus A.; Gomez, David F. & Barone, Dante Augusto Couto [Show all 8 contributors for this article] (2022). Controlling the UR3 Robotic Arm Using a Leap Motion: A Comparative Study. In Ribei, Paulo Rogério de Almeida; Cota, Vinícius Rosa; Barone, Dante Augusto Couto & de Oliveira, Alexandre César Muniz (Ed.), Computational Neuroscience: Conference Proceedings Third Latin American Workshop, LAWCN 2021, São Luís, Brazil, December 8–10, 2021, Revised Selected Papers. Springer Nature. ISSN 978-3-031-08443-0. p. 64–77. doi: https%3A/doi.org/10.1007/978-3-031-08443-0_5.
  • Nergård, Katrine Linnea; Endestad, Tor & Tørresen, Jim (2022). Effect of Hand Dominance When Decoding Motor Imagery Grasping Tasks. In Ribei, Paulo Rogério de Almeida; Cota, Vinícius Rosa; Barone, Dante Augusto Couto & de Oliveira, Alexandre César Muniz (Ed.), Computational Neuroscience: Conference Proceedings Third Latin American Workshop, LAWCN 2021, São Luís, Brazil, December 8–10, 2021, Revised Selected Papers. Springer Nature. ISSN 978-3-031-08443-0. p. 233–249. doi: https%3A/doi.org/10.1007/978-3-031-08443-0_15.
  • Sajadi, Seyed Mohammad Reza; Karbasi, Seyed Mojtaba; Brun, Henrik; Tørresen, Jim; Elle, Ole Jakob & Mathiassen, Kim (2022). Towards Autonomous Robotic Biopsy—Design, Modeling and Control of a Robot for Needle Insertion of a Commercial Full Core Biopsy Instrument. Frontiers in Robotics and AI. ISSN 2296-9144. 9. doi: 10.3389/frobt.2022.896267. Full text in Research Archive
  • Lamo, Yngve; Mukhiya, Suresh Kumar; Rabbi, Fazle; Aminifar, Amin; Lillehaug, Svein Ivar & Tørresen, Jim [Show all 25 contributors for this article] (2022). Towards Adaptive Technology in Routine Mental Healthcare. Digital Health.
  • Côté-Allard, Ulysse Teller Masao; Jakobsen, Petter; Stautland, Andrea; Nordgreen, Tine; Fasmer, Ole Bernt & Ødegaard, Ketil Joachim [Show all 7 contributors for this article] (2022). Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors. IEEE pervasive computing. ISSN 1536-1268. doi: 10.1109/MPRV.2022.3155728.
  • Hansen, Tom Frode; Erharter, Georg H.; Marcher, Thomas; Liu, Zhongqiang & Tørresen, Jim (2022). Improving face decisions in tunnelling by machine learning-based MWD analysis. Geomechanics and Tunneling. ISSN 1865-7362. 15(2), p. 222–231. doi: 10.1002/geot.202100070.
  • Jakobsen, Petter; Stautland, Andrea; Riegler, Michael; Côté-Allard, Ulysse Teller Masao; 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. p. 1–19. doi: 10.1371/journal.pone.0262232. Full text in Research Archive
  • 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. In Gioti, Artemi-Maria (Eds.), The Proceedings of 2nd Conference on AI Music Creativity. Proceedings of Joint Conference on AI Music Creativity (CSMC + MuMe). ISSN 978-3-200-08272-4. doi: 10.5281/zenodo.5137900. Full text in Research Archive
  • 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 (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-1261-2. p. 164–169. doi: 10.1109/ACSOS52086.2021.00037. Full text in Research Archive
  • Zicari, RV; Brusseau, James; Blomberg, Stig Nikolaj Fasmer; Christensen, Helle Collatz; Coffee, Megan & Ganapini, Marianna B [Show all 39 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. doi: 10.3389/fhumd.2021.673104. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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 (Institute of Electrical and Electronics Engineers). 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. Full text in Research Archive
  • 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. 4. doi: 10.1038/s42003-021-02400-x. Full text in Research Archive
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2021). Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access. ISSN 2169-3536. 9, p. 138132–138143. doi: 10.1109/ACCESS.2021.3117667. Full text in Research Archive
  • 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 (Institute of Electrical and Electronics Engineers). ISSN 978-0-7381-2502-2. p. 1407–1413. doi: 10.1109/CASE49439.2021.9551629.
  • 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 (Institute of Electrical and Electronics Engineers). 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. doi: 10.1109/ARSO51874.2021.9542833.
  • 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. doi: 10.1109/ARSO51874.2021.9542844.
  • 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 (Institute of Electrical and Electronics Engineers). 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 (Institute of Electrical and Electronics Engineers). 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 (Institute of Electrical and Electronics Engineers). 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.

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  • Ruud, Markus Toverud; Sandberg, Tale Hisdal; Tranvaag, Ulrik Johan Vedde; Wallace, Benedikte; Karbasi, Seyed Mojtaba & Tørresen, Jim (2022). Reinforcement Learning Based Dance Movement Generation.
  • Karbasi, Seyed Mojtaba; Jensenius, Alexander Refsum; Godøy, Rolf Inge & Tørresen, Jim (2022). A Robotic Drummer with a Flexible Joint: the Effect of Passive Impedance on Drumming.
  • Barone, Dante & Tørresen, Jim (2021). Some ethics considerations about AI.
  • Maffei, Renan; Mantelli, Mathias & Tørresen, Jim (2021). Mobile Robotics.
  • Iwashita, Yumi; Stoica, Adrian & Tørresen, Jim (2021). Sensing for autonomy navigation.
  • 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 Teller Masao; 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?
  • 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.
  • 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.

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