Jim Tørresen

Bilde av Jim Tørresen
English version of this page
Telefon +47-22852454
Mobiltelefon +4792846669 +47 92846669
Rom 4404
Brukernavn
Besøksadresse Gaustadalléen 23 B Ole-Johan Dahls hus 0373 OSLO
Postadresse Postboks 1080 Blindern 0316 OSLO

Profilbilde: Stine Moen, Studio Vest Fotografer

Bakgrunn

  • Professor i informatikk, Universitetet i Oslo, siden 2006
  • Førsteamuensis i informatikk, Universitetet i Oslo, 1999-2005
  • Maskinvareutvikling Navia Aviation, 1998-1999
  • Maskinvareutvikling NERA Telecommunications, 1996-1998
  • Dr.ing. (Ph.D.) datamaskinarkitektur, Norges teknisk-naturvitenskapelige universitet, 1996
  • Siv.ing. (M.Sc.) datamaskinarkitektur, Norges teknisk-naturvitenskapelige universitet, 1991

 

Se mer info på min andre hjemmeside.

Faglige interesser

  • Biologi-inspirerte algoritmer og kunstig intelligens
  • Programmerbar logikk (FPGA)
  • Robotikk (simulering prototyping, styring)

Populærvitenskapelig bok om kunstig intelligens

Jim Tørresen ved ROBIN har skrevet en populær-

vitenskapelig bok om kunstig intelligens som er utgitt

i "hva er"-serien til Universitetsforlaget. Hva mener vi

med kunstig intelligens og hvilke metoder er mest

utbredt og anvendelige er noe av det som omtales i

boken. Fremtidsvyer og etiske sider ved kunstig

intelligens er også beskrevet. Mer info om boken

(og mulighet for å lese forord og første kapittel) finnes her.

 

TEDx Oslo May 2017

 

 

 

 

 

 

 

 

Oversikt over siste års mediabidrag

Liste over populærvitenskapelige oppslag 

 

 

 

Emneord: Robotikk, Kunstig intelligens, Adaptive systemer, AI, Rekonfigurerbar maskinvare, Biologi-inspirert beregning, Evolusjonær beregning, Evolverbar maskinvare

Publikasjoner

  • 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 Digital Library.  ISBN 978-1-4503-7654-9.  Article 12. Vis sammendrag
  • 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
  • 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.  ISSN 0302-9743.  11730 LNCS, s 462- 473 . doi: 10.1007/978-3-030-30490-4_37
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation.  ISSN 1063-6560.  Early Access . doi: 10.1162/evco_a_00250 Vis sammendrag
  • 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 Lhle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven Alexander; Garcia-Ceja, Enrique; Tørresen, Jim & Riegler, Michael (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression, In Susanne Boll (ed.),  Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care.  ACM Digital Library.  ISBN 978-1-4503-6914-5.  1.  s 9 - 15 Vis sammendrag
  • 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
  • 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.  ISSN 2278-0149.  8(1), s 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.
  • 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 Fulltekst i vitenarkiv.
  • 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. Vis sammendrag
  • 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. Vis sammendrag
  • 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.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  1. Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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 Vis sammendrag
  • 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.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  Kapittel.
  • 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.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  Conference Paper.
  • Woll, Anita & Tørresen, Jim (2019). 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; 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 Fulltekst i vitenarkiv.
  • 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
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition, In  2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).  IEEE.  ISBN 978-1-5386-7033-0.  1.  s 1 - 6 Fulltekst i vitenarkiv.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). Neuro-Fuzzy Sampling: Safe and Fast Multi-query Randomized Path Planning for Mobile Robots, In A. P. P. Abdul Majeed (ed.),  6th International Conference on Robot Intelligence Technology and Applications.  Springer.  ISBN 978-981-13-8323-6.  Artikkel.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). Self-Adjusting Roadmaps: A Fast Sampling-Based Path Planning Algorithm for Navigation in Unknown Environments, In  Proceedings of the 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). Kuala Lumpur, Malaysia, 12-15 Dec. 2018.  IEEE.  ISBN 978-1-7281-0377-8.  Artikkel.
  • Martin, Charles Patrick; Jensenius, Alexander Refsum & Tørresen, Jim (2018). Composing an ensemble standstill work for Myo and Bela, In Luke Dahl; Doug Bowman & Tom Martin (ed.),  Proceedings of the International Conference On New Interfaces For Musical Expression.  Virginia Tech.  KAPITTEL.  s 196 - 197 Fulltekst i vitenarkiv. Vis sammendrag
  • Martin, Charles Patrick & Tørresen, Jim (2018). RoboJam: A musical mixture density network for collaborative touchscreen interaction. Lecture Notes in Computer Science.  ISSN 0302-9743.  10783 LNCS, s 161- 176 . doi: 10.1007/978-3-319-77583-8_11 Fulltekst i vitenarkiv. Vis sammendrag
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images, In  2018 15th International Conference on Ubiquitous Robots (UR 2018).  IEEE.  ISBN 9781538663356.  1.  s 597 - 603 Fulltekst i vitenarkiv.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network, In  2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR 2018).  IEEE.  ISBN 9781538655481.  1.  s 337 - 342 Fulltekst i vitenarkiv.
  • Miseikis, Justinas; Knobelreiter, Patrick; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks, In  2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2018).  IEEE.  ISBN 9781538618554.  1.  s 181 - 187 Fulltekst i vitenarkiv.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim & Glette, Kyrre (2018). Real-world evolution adapts robot morphology and control to hardware limitations, In hernan aguirre (ed.),  GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5618-3.  1.  s 125 - 132 Fulltekst i vitenarkiv. Vis sammendrag
  • Schulz, Trenton Wade; Herstad, Jo & Tørresen, Jim (2018). Classifying Human and Robot Movement at Home and Implementing Robot Movement Using the Slow In, Slow Out Animation Principle. International Journal on Advances in Intelligent Systems.  ISSN 1942-2679.  11(3&4), s 234- 244 Vis sammendrag
  • Schulz, Trenton Wade; Herstad, Jo & Tørresen, Jim (2018). Moving with Style: Classifying Human and Robot Movement at Home, In Birgit Gersbeck-Schierholz; Christian Wögerer & Steffen Gerhard Schulz (ed.),  ACHI 2018, The Eleventh International Conference on Advances in Computer-Human Interactions.  International Academy, Research and Industry Association (IARIA).  ISBN 978-1-61208-616-3.  30.  s 188 - 193 Fulltekst i vitenarkiv. Vis sammendrag

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  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Springer.  ISBN 978-3-030-30489-8.  12 s.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. IEEE.  ISBN 978-1-5386-7098-9.  7 s.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE.  ISBN 978-1-5386-7033-0.  700 s.

Se alle arbeider i Cristin

  • 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
  • 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; 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. Vis sammendrag
  • Tørresen, Jim (2019). Ethics and artificial intelligence in healthcare.
  • Tørresen, Jim (2019). Future and Ethical Perspectives of Robotics and AI.
  • Tørresen, Jim (2019). Hva er kunstig intelligens?.
  • Tørresen, Jim (2019). Intelligent and Adaptive Robots in Real-World Environment. Vis sammendrag
  • Tørresen, Jim (2019). Introduction to Different Challenges in Ethical AI and Possible Ways of Addressing Them. Vis sammendrag
  • 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). 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. Vis sammendrag
  • 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. Vis sammendrag
  • 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. Vis sammendrag
  • 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).
  • Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes Frostad & Tørresen, Jim (2018). Self-Awareness in a Cyber-Physical Predictive Musical Interface. Vis sammendrag
  • Martin, Charles Patrick; Glette, Kyrre & Tørresen, Jim (2018). Creative Prediction with Neural Networks. Vis sammendrag
  • Martin, Charles Patrick; Jensenius, Alexander Refsum & Tørresen, Jim (2018). Composing an ensemble standstill work for Myo and Bela. Vis sammendrag
  • Martin, Charles Patrick & Tørresen, Jim (2018). Predictive Musical Interaction with MDRNNs.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2018). Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. Vis sammendrag
  • Rokkones, Anders Skibeli; Uddin, Md Zia & Tørresen, Jim (2018). Real-Time Face Detection, Identification and Emotion Analysis for Affective Human Robot Interaction.
  • Stoica, Adrian & Tørresen, Jim (2018). Robots on the Moon, and their Role in a Future Lunar Economy.

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Publisert 4. nov. 2010 14:23 - Sist endret 8. feb. 2019 21:39