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

  • 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 Simone Spagnol & Andrea Valle (ed.),  Proceedings of the 17th Sound and Music Computing Conference.  Axea sas/SMC Network.  ISBN 978-88-945415-0-2.  5.  s 177 - 184 Fulltekst i vitenarkiv. Vis sammendrag
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt & Ødegaard, Ketil Joachim (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), s 1- 16 . doi: 10.1371/journal.pone.0231995 Fulltekst i vitenarkiv.
  • 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 Vis sammendrag
  • 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: https://dl.acm.org/doi/10.1145/3377882 Vis sammendrag
  • 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: https://doi.org/10.3390/mti4030044 Fulltekst i vitenarkiv. Vis sammendrag
  • 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), s 1- 29 . doi: 10.1371/journal.pone.0236121
  • 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, s 3- 4
  • Uddin, Md Zia; Noori, Farzan Majeed & Tørresen, Jim (2020). In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning, In Farzan Majeed Noori (ed.),  IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS).  IEEE.  ISBN 0000000000.  International Conference on Ultrawideband and Ultrashort Impulse Signals. Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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. Vis sammendrag
  • 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. Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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 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 Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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 Fulltekst i vitenarkiv. Vis sammendrag
  • 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
  • Martin, Charles Patrick & Tørresen, Jim (2019). Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. Computer Music Journal.  ISSN 0148-9267.  43(4) Fulltekst i vitenarkiv. Vis sammendrag
  • 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.  IEEE.  ISBN 978-1-5386-8129-9.  1.  s 43 - 47 Vis sammendrag
  • 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 Fulltekst i vitenarkiv.
  • 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.
  • 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. Vis sammendrag
  • 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.  IEEE.  ISBN 978-1-5386-8129-9.  Kapittel.  s 189 - 194

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Se alle arbeider i Cristin

  • Akhsarbek, Gozoev; Tørresen, Jim & Iwashita, Yumi (2020). Ultra-Low Image Resolution Human Identification.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep reinforcement learning.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Write a Scientific Paper.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt & Ødegaard, Ketil Joachim (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..
  • 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.
  • Primstad, Pål; Tørresen, Jim & Iwashita, Yumi (2020). A Thermal and RGB feature extraction system for use in autonomous navigation.
  • Tørresen, Jim (2020). A collaboration journey to Japan that started for more than 25 years ago.
  • Tørresen, Jim (2020). AI Ethics: How to achieve ethically good artificial intelligence research and development.
  • Tørresen, Jim (2020). Addressing Ethical Challenges for Care Giving Robots.
  • 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). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2020). Tutorial: Addressing Ethical Challenges within Evolutionary Computation Applications.
  • Tørresen, Jim (2020). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • Valer, Rafael; Tørresen, Jim & Nedel, Luciana (2020). Musical Brush: Development and Exploration of a Tool that Supports Creativity by Combining Music with Drawing.
  • Wallace, Benedikte; Nymoen, Kristian; Martin, Charles Patrick & Tørresen, Jim (2020). Towards Movement Generation with Audio Features.
  • 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. Vis sammendrag
  • 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.
  • Carlsen, Per Antoine; Tørresen, Jim & Riek, Laurel (2019). Real-Time Person Re-Identification for Mobile Robots to Improve Human-Robot Interaction.
  • 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.
  • Hosseinpoor, Sadegh; Tørresen, Jim & Mantelli, Mathias (2019). Semantic Terrain Segmentation with an Original RGB Data Set, Targeting Elevation Differences.
  • Ingjerd, Helene; Mikkelsen, Øyvind & Tørresen, Jim (2019, 21. desember). Hva vil vi bruke kunstig intelligens til?.  Aftenposten.
  • 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.
  • Lunsæter, Sivert Frank; Tørresen, Jim & Iwashita, Yumi (2019). Terrain Classification from an Aerial Perspective in Real-time using Machine Learning.
  • 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..
  • Thorstensen, Magnus; Tørresen, Jim & Barone, Dante (2019). Brain Computer Interface with Convolutional Neural Networks.
  • 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, 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. Vis sammendrag
  • Tørresen, Jim (2019). Introduction to Different Challenges in Ethical AI and Possible Ways of Addressing Them. Vis sammendrag

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Publisert 4. nov. 2010 14:23 - Sist endret 28. aug. 2020 08:45