Jim Tørresen

Image of Jim Tørresen
Norwegian version of this page
Phone +47 22852454
Mobile phone +4792846669
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

  • Woll, Anita & Tørresen, Jim (2020). Bridging the User Barriers of Home Telecare. Advances in Intelligent Systems and Computing.  ISSN 2194-5357.  1069, s 816- 835 . doi: 10.1007/978-3-030-32520-6_59
  • Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar; Glette, Kyrre; Tørresen, Jim; Rowe, Alexander D. & Dalhus, Bjørn (2019). Additive manufacturing of laminar flow cells for single-molecule experiments. Scientific Reports.  ISSN 2045-2322.  9(1) . doi: 10.1038/s41598-019-53151-z Full text in Research Archive.
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim & Jensenius, Alexander Refsum (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data, In Grisha Coleman (ed.),  Proceedings of the 6th International Conference on Movement and Computing.  ACM Publications.  ISBN 978-1-4503-7654-9.  Article 12. Show summary
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events, In Chrisina Jayne & Zoltán Somogyvári (ed.),  2019 International Joint Conference on Neural Networks (IJCNN).  IEEE.  ISBN 978-1-7281-1985-4.  konferanseartikkel. Full text in Research Archive.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults. IEEE Access.  ISSN 2169-3536.  7(1), s 111012-- 111029 . doi: 10.1109/ACCESS.2019.2933994 Full text in Research Archive.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  11730 LNCS, s 462- 473 . doi: 10.1007/978-3-030-30490-4_37
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults, In  9th International Conference on Intelligent Systems (IS’18).  IEEE.  ISBN 978-1-5386-7098-9.  kapittel.  s 662 - 668
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation.  ISSN 1063-6560.  28(1), s 115- 140 . doi: 10.1162/evco_a_00250 Show summary
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-adapting Goals Allow Transfer of Predictive Models to New Tasks, In  Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019.  Springer.  ISBN 978-3-030-35664-4.  Artikkel.  s 28 - 39
  • Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.
  • Frogner, Joakim Ihle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven; Garcia-Ceja, Enrique; Tørresen, Jim & Riegler, Michael (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression, In Susanne Boll; Jeannie T Lee; Jochen Meyer; Nitish Nag & Noel E. O’Connor (ed.),  HealthMedia '19: Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-6914-5.  1.  s 9 - 15 Show summary
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael Alexander; Kvernberg, Anders Kongsli & Tørresen, Jim (2019). User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. User modeling and user-adapted interaction.  ISSN 0924-1868.  s 1- 29 . doi: 10.1007/s11257-019-09248-1 Show summary
  • Garcia, Rafael; Falcao, Alexandre Xavier; Telea, Alexandru C.; Castro da Silva, Bruno; Tørresen, Jim & Comba, Joao Luiz Dihl (2019). A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps, In Chrisina Jayne & Zoltán Somogyvári (ed.),  2019 International Joint Conference on Neural Networks (IJCNN).  IEEE.  ISBN 978-1-7281-1985-4.  Artikkel.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2019). Fuzzy Motion Planning for Nonholonomic Mobile Robot Navigation in Unknown Indoor Environments. International Journal of Mechanical Engineering and Robotics Research (IJMERR).  ISSN 2278-0149.  8(1), s 6- 11 . doi: 10.18178/ijmerr.8.1.6-11
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2019). Multi-Query Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. International Journal of Applied Mathematics and Computer Science.  ISSN 1641-876X.  29(4), s 641- 654 . doi: DOI: 10.2478/amcs-2019-0047
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2019). Neuro-Fuzzy Sampling: Safe and fast multi-query randomized path planning for mobile robots. Communications in Computer and Information Science.  ISSN 1865-0929.  1015, s 13- 27 . doi: 10.1007/978-981-13-7780-8_2
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music Generation, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  P2.1.  s 217 - 222
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.  s 260 - 265
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN. IEEE International Conference on Robotics and Automation.  ISSN 2152-4092.  2019-May, s 8883- 8889 . doi: 10.1109/ICRA.2019.8794077 Full text in Research Archive.
  • Noori, Farzan Majeed; Garcia-Ceja, Enrique; Uddin, Md Zia; Riegler, Michael & Tørresen, Jim (2019). Fusion of Multiple Representations Extracted from a Single Sensor’s Data for Activity Recognition Using CNNs, In Chrisina Jayne & Zoltán Somogyvári (ed.),  2019 International Joint Conference on Neural Networks (IJCNN).  IEEE.  ISBN 978-1-7281-1985-4.  1. Show summary
  • Noori, Farzan Majeed; Kahlon, Smiti; Lindner, Philip; Nordgreen, Tine; Tørresen, Jim & Riegler, Michael (2019). Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety, In  Proceedings of Content Based Multimedia Information (CBMI 2019).  IEEE conference proceedings.  ISBN 978-1-7281-4673-7.  1. Show summary
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2019). Robot-Care for the Older People: Ethically Justified or Not?, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  IEEE.  ISBN 978-1-5386-8129-9.  1.  s 43 - 47 Show summary
  • Noori, Farzan Majeed; Wallace, Benedikte; Uddin, Md Zia & Tørresen, Jim (2019). A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  11482 LNCS, s 299- 310 . doi: 10.1007/978-3-030-20205-7_25
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  11454 LNCS, s 616- 632 . doi: 10.1007/978-3-030-16692-2_41 Full text in Research Archive.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. IEEE International Conference on Robotics and Automation.  ISSN 2152-4092.  2019-May, s 9446- 9452 . doi: 10.1109/ICRA.2019.8793663 Full text in Research Archive.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing, In  Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019.  Springer.  ISBN 978-3-030-35664-4.  Artikkel.  s 58 - 68
  • Rokkones, Anders Skibeli; Uddin, Md Zia & Tørresen, Jim (2019). Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network, In  9TH IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS.  IEEE.  ISBN 978-1-7281-2745-3.  1570560874.  s 283 - 288
  • 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 John-John Cabibihan; Williams Mary Anne; T Asokan & Laxmidhar Behera (ed.),  2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).  IEEE.  ISBN 978-1-7281-2622-7.  Article. Show summary
  • Schulz, Trenton Wade; Tørresen, Jim & Herstad, Jo (2019). Animation Techniques in Human-Robot Interaction User Studies: A Systematic Literature Review. ACM Transactions on Human-Robot Interaction.  ISSN 2573-9522.  8(2) . doi: 10.1145/3317325 Show summary
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  IEEE.  ISBN 978-1-5386-8129-9.  Kapittel.  s 189 - 194
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2019). A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN, In  The 17th IEEE International Conference on Industrial Informatics (IEEE-INDIN 2019): Proceedings.  IEEE.  ISBN 9781-7281-2927-3.  HD-010936.
  • Uddin, Md Zia & Tørresen, Jim (2019). Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network. International Symposium on Medical Information and Communication Technology.  ISSN 2326-828X.  2019-May . doi: 10.1109/ISMICT.2019.8743759
  • Weber, Aline; Alegre, Lucas N.; Tørresen, Jim & Castro da Silva, Bruno (2019). Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise, In Federico Visi (ed.),  Music Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Artikkel.  s 174 - 179
  • Weber, Aline; Martin, Charles Patrick; Tørresen, Jim & da Silva, Bruno Castro (2019). Identifying Reusable Early-Life Options, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  IEEE.  ISBN 978-1-5386-8129-9.  Conference Paper.
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schüttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2018). Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V. Nature Communications.  ISSN 2041-1723.  9(1) . doi: 10.1038/s41467-018-07797-4 Full text in Research Archive.
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Motor activity based classification of depression in unipolar and bipolar patients. IEEE International Symposium on Computer-Based Medical Systems.  ISSN 2372-9198.  s 316- 321 . doi: 10.1109/CBMS.2018.00062
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Nordgreen, Tine; Jakobsen, Petter; Ødegaard, Ketil Joachim & Tørresen, Jim (2018). Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive and Mobile Computing.  ISSN 1574-1192.  51, s 1- 26 . doi: 10.1016/j.pmcj.2018.09.003
  • Garcia Ceja, Enrique Alejandro; Uddin, Md Zia & Tørresen, Jim (2018). Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. Procedia Computer Science.  ISSN 1877-0509.  130, s 157- 163 . doi: 10.1016/j.procs.2018.04.025
  • Garcia, Rafael; Telea, Alexandru C; Castro da Silva, Bruno; Tørresen, Jim & Dihl Comba, Joao Luiz (2018). A task-and-technique centered survey on visual analytics for deep learning model engineering. Computers & graphics.  ISSN 0097-8493.  77, s 30- 49 . doi: 10.1016/j.cag.2018.09.018
  • Garcia-Ceja, Enrique; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients, In Pablo Cesar; Michael Zink & Niall Murray (ed.),  MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5192-8.  conference article.  s 472 - 477
  • Iwashita, Yumi; Stoica, Adrian; Nakashima, Kazuto; Kurazume, Ryo & Tørresen, Jim (2018). Virtual Sensors Determined Through Machine Learning, In Patrick Benavidez (ed.),  Proceedings of 2018 World Automation Congress.  IEEE conference proceedings.  ISBN 978-1-5323-7791-4.  Artikkel.  s 318 - 321

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  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2019). Publisher Correction: Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V (Nature Communications, (2018), 9, 1, (5381), 10.1038/s41467-018-07797-4). Nature Communications.  ISSN 2041-1723.  10(1) . doi: 10.1038/s41467-019-10070-x
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim & Jensenius, Alexander Refsum (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data. Show summary
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). How to Write a Scientific Paper.
  • Comba, Joao Luiz Dihl & Tørresen, Jim (2019). Visual Data Analysis of Unstructured and Big Data.
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks.
  • Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud; Nordgreen, Tine; McInnis, Melvin; Tørresen, Jim & Ødegaard, Ketil Joachim (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
  • Lappyová, Veronika; Khaksar, Weria & Tørresen, Jim (2019). Development and implementation of human detection and following method on a mobile robot.
  • Mahler, Tobias; Bygrave, Lee Andrew & Tørresen, Jim (2019). The VIROS Project: Vulnerability in the Robot Society.
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN.
  • Miura, Jun & Tørresen, Jim (2019). Intelligent Robot Technologies for Care and Lifestyle Support.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing.
  • Næss, Torgrim Rudland; Martin, Charles Patrick & Tørresen, Jim (2019). A Physical Intelligent Instrument using Recurrent Neural Networks.
  • Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). A Physical Intelligent Instrument using Recurrent Neural Networks.
  • Refsum, Vetle Kind; Khaksar, Weria & Tørresen, Jim (2019). Human aware navigation and reaction for a mobile service robot with a LIDAR unit.
  • Rohlfing, Katharina J. & Tørresen, Jim (2019). Explainability: an interactive view.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods..
  • Tørresen, Jim (2019). AI for Robots Interacting with Humans.
  • Tørresen, Jim (2019). Artificial Intelligence and Applications in Health and Care.
  • Tørresen, Jim (2019). Design and Control of Robots for Real-World Environment.
  • Tørresen, Jim (2019). Ethical Considerations for Healthcare Robots. Show summary
  • Tørresen, Jim (2019). Ethics and artificial intelligence in healthcare.
  • Tørresen, Jim (2019, 01. mars). Etikk blir viktigare for tilgang til pengesekken. [Fagblad].  Forskningsetikk.
  • Tørresen, Jim (2019, 01. desember). Folket bør få være med og styre KI-skuta. [Fagblad].  Forskningsetikk.
  • Tørresen, Jim (2019). Future and Ethical Perspectives of Robotics and AI.
  • Tørresen, Jim (2019). Hva er kunstig intelligens?.
  • Tørresen, Jim (2019). Intelligent Robots and Systems in Real-World Environment.
  • Tørresen, Jim (2019). Intelligent and Adaptive Robots in Real-World Environment. Show summary
  • Tørresen, Jim (2019). Introduction to Different Challenges in Ethical AI and Possible Ways of Addressing Them. Show summary
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor. (Eng. Artificial Intelligence – who, what and where).
  • Tørresen, Jim (2019). Making Robots Adaptive and Preferable to Humans.
  • Tørresen, Jim (2019, 18. oktober). Roboter kan slå salto – men bryr de seg om applausen?. [Internett].  LO Ingeniør.
  • Tørresen, Jim (2019). Robots and Mobile Apps Solving Problems Better with Artificial Intelligence.
  • Tørresen, Jim (2019). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2019). Supporting Older People at Home with a Mobile Robot for Independent Living.
  • Tørresen, Jim (2019). Supporting Older People with Robots for Independent Living. Show summary
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2018). Sensor Sequential Data Prediction. Show summary
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Reinforcement Learning.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Machine Learning and Reinforcement Learning in Brazil.
  • Ellefsen, Kai Olav & Tørresen, Jim (2018). Evolutionary Robotics: Automatic design of robot controllers and bodies.
  • Fjeld, Matias Hermanrud & Tørresen, Jim (2018). 3D Spatial Navigation in Octrees with Reinforcement Learning.
  • Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick & Tørresen, Jim (2018). Prediction, Interaction, and User Behaviour. Show summary
  • Haugnes, Gunhild Merete; Tørresen, Jim; Thorstensen, Magnus; Lunsæter, Sivert Frang; Carlsen, Per Antoine; Wong, Key; Hosseinpoor, Sadegh; Camelo, Guilherme & Garcia, Rafael (2018, 19. juni). Internasjonalt samarbeid gir robotikk-løft. [Internett].  Titan.uio.no.
  • Irgens, Morten; Lysne, Olav; Granmo, Ole-Christoffer & Tørresen, Jim (2018). Kunstig intelligens er en stor mulighet for Norge. Khrono.no.  ISSN 1894-8995.
  • Khaksar, Weria; Uddin, Md Zia; Schulz, Trenton Wade & Tørresen, Jim (2018). Introducing a Robotic Multimodal Elderly Care system (MECS).

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Published Nov. 4, 2010 2:23 PM - Last modified Oct. 10, 2018 10:50 AM