Jim Tørresen

Bilde av Jim Tørresen
English version of this page
Telefon +47 22852454
Mobiltelefon +47 92846669 +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

  • 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. Fulltekst i vitenarkiv
  • 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. s. 219–226.
  • 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.
  • Khaksar, Weria; Neggers, Margot; Barakova, Emilia Ivanova & Tørresen, Jim (2021). Generation Differences in Perception of the Elderly Care Robot. I Caleb-Solly, Praminda; Ghafurian, Moojan; Johnson, Michelle & Wada, Kazuyoshi (Red.), Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication (ROMAN). IEEE. ISSN 978-1-6654-0492-1. s. 551–558. doi: 10.1109/RO-MAN50785.2021.9515534.
  • Hosseinpoor, Sadegh; Mantelli, Mathias; Pittol, Diego; Kolberg, Mariana; Maffei, Renan & Prestes, Edson [Vis alle 7 forfattere av denne artikkelen] (2021). Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots. I Xie, Xiaolan & Dauzère-Pérès, Stéphane (Red.), Proceedings of the 17th International Conference on Automation Science and Engineering (CASE2021). IEEE. ISSN 978-0-7381-2502-2.
  • 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. I Zhang, Dan (Red.), 2021 7th International Conference on Mechatronics and Robotics Engineering (ICMRE). IEEE. ISSN 978-0-7381-3205-1. s. 54–58. doi: 10.1109/ICMRE51691.2021.9384843. Fulltekst i vitenarkiv
  • 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. Fulltekst i vitenarkiv
  • 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.
  • Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode & Inal, Yavuz [Vis alle 23 forfattere av denne artikkelen] (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), s. 241–251. doi: 10.1108/JET-03-2021-0013. Fulltekst i vitenarkiv
  • 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. s. 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.
  • Ahmadi, Arash; Till, Katharina; Backe, Paul Hoff; Blicher, Pernille; Diekmann, Robin & Schüttpelz, Mark [Vis alle 10 forfattere av denne artikkelen] (2021). Non-flipping DNA glycosylase AlkD scans DNA without formation of a stable interrogation complex. Communications Biology. ISSN 2399-3642. doi: 10.1038/s42003-021-02400-x.
  • 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), s. 141–145. doi: 10.1080/24751448.2021.1967052.
  • 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.
  • 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. Fulltekst i vitenarkiv
  • Martin, Charles Patrick & Tørresen, Jim (2020). Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam . Computer Music Journal. ISSN 0148-9267. 43(4), s. 41–57. doi: 10.1162/comj_a_00536.
  • 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. I Spagnol, Simone & Valle, Andrea (Red.), Proceedings of the 17th Sound and Music Computing Conference. Axea sas/SMC Network. ISSN 978-88-945415-0-2. s. 177–184. Fulltekst i vitenarkiv
  • Lunsæter, Sivert Frang; Iwashita, Yumi; Stoica, Adrian & Tørresen, Jim (2020). Terrain Classification from an Aerial Perspective. I Gabbar, Hossam A. & Trajkovic, Ljiljana (Red.), Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) . IEEE conference proceedings. ISSN 978-1-7281-8527-9. s. 173–177. doi: 10.1109/SMC42975.2020.9283333.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2020). Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE. ISSN 978-1-7281-7278-1. s. 129–138. doi: 10.1109/ACSOS49614.2020.00034.
  • Uddin, Md Zia; Noori, Farzan Majeed & Tørresen, Jim (2020). In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning. I Noori, Farzan Majeed (Red.), IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE. ISSN 978-1-7281-7314-6. s. 1089–1093. doi: 10.1109/UkrMW49653.2020.9252708.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Vis alle 8 forfattere av denne artikkelen] (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
  • 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.
  • 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. 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.
  • 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.
  • Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar & Glette, Kyrre [Vis alle 8 forfattere av denne artikkelen] (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
  • 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. I Cabibihan, John-John; Mary Anne, Williams; Asokan, T & Behera, Laxmidhar (Red.), 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE. ISSN 978-1-7281-2622-7. doi: 10.1109/RO-MAN46459.2019.8956355.
  • 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: 10.2478/amcs-2019-0047. 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
  • 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 (ICRA). ISSN 1050-4729. 2019-May, s. 9446–9452. doi: 10.1109/ICRA.2019.8793663. Fulltekst i vitenarkiv
  • 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. 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.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music Generation. I Barbancho, Isabel; Tardón, Lorenzo J.; Peinado, Alberto & Barbancho, Ana M. (Red.), SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. Society for Sound and Music Computing. ISSN 978-84-09-08518-7. s. 217–222. Fulltekst i vitenarkiv
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-adapting Goals Allow Transfer of Predictive Models to New Tasks, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. s. 28–39. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_3.
  • 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, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. s. 58–68. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_6.
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria & Tørresen, Jim [Vis alle 7 forfattere av denne artikkelen] (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data. I Coleman, Grisha (Red.), Proceedings of the 6th International Conference on Movement and Computing. ACM Publications. ISSN 978-1-4503-7654-9. doi: 10.1145/3347122.3347135.
  • 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, Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings. ISSN 978-1-7281-4673-7. doi: 10.1109/CBMI.2019.8877454.
  • Frogner, Joakim Ihle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven; Garcia-Ceja, Enrique & Tørresen, Jim [Vis alle 7 forfattere av denne artikkelen] (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. I Boll, Susanne; Lee, Jeannie T; Meyer, Jochen; Nag, Nitish & O’Connor, Noel E. (Red.), HealthMedia '19: Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care. Association for Computing Machinery (ACM). ISSN 978-1-4503-6914-5. s. 9–15. doi: 10.1145/3347444.3356238.
  • Weber, Aline; Alegre, Lucas N.; Tørresen, Jim & Castro da Silva, Bruno (2019). Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. I Visi, Federico (Red.), Music Proceedings of the International Conference on New Interfaces for Musical Expression. Universidade Federal do Rio Grande do Sul. ISSN 2220-4792. s. 174–179. Fulltekst i vitenarkiv
  • 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. I Jayne, Chrisina & Somogyvári, Zoltán (Red.), 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE. ISSN 978-1-7281-1985-4. doi: 10.1109/IJCNN.2019.8852223.

Se alle arbeider i Cristin

  • 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.
  • 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.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). 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.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in Robotics and Automation.
  • Tørresen, Jim (2021). Kunstig intelligens – allsidig i metoder og anvendelser.
  • Tørresen, Jim (2021). INTROMAT: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology.
  • 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).
  • 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: Explainability, Trust and Ethics for Robots and Autonomous Systems.
  • Tørresen, Jim (2021). Tutorial: Intelligent System Research – AI Ethical Challenges and Opportunities.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • 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.
  • Tørresen, Jim (2021). How to achieve ethical artificial intelligence (AI) research and development?
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2021). Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access. ISSN 2169-3536. doi: 10.1109/ACCESS.2021.3117667.
  • Tørresen, Jim (2020). Tutorial: Ethical Challenges and Opportunities within Computational Intelligence System Development.
  • Tørresen, Jim (2020). Ethical Consideration in Robotics and Intelligent Systems Research.
  • 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, s. 3–4. doi: 10.1007/s10846-020-01148-6.
  • Tørresen, Jim (2020). Addressing ethical challenges within evolutionary computation applications: GECCO 2020 tutorial. I Coello Coello, Carlos A. (Red.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. s. 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. I Kuflik, Tsvi; Torre, Ilaria & Burke, Robin (Red.), Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). ISSN 978-1-4503-6861-2. s. 390–391.
  • Tørresen, Jim (2020). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2020). Intelligent Robots and Systems for Foundational and Applied Healthcare Research.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Write a Scientific Paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep reinforcement learning.
  • Tørresen, Jim (2020). Tutorial: Addressing Ethical Challenges within Evolutionary Computation Applications.
  • Tørresen, Jim (2020). A collaboration journey to Japan that started for more than 25 years ago.
  • Tørresen, Jim (2020). Interdisciplinary Research Collaboration in Rhythm, Time and Motion.
  • Tørresen, Jim (2020). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • 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.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Vis alle 8 forfattere av denne artikkelen] (2020). Applying Machine Learning in Motor Activity Time Series of Depressed Bipolar and Unipolar Patients. .
  • Wallace, Benedikte; Nymoen, Kristian; Martin, Charles Patrick & Tørresen, Jim (2020). Towards Movement Generation with Audio Features.
  • Tørresen, Jim (2020). Addressing Ethical Challenges for Care Giving Robots.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
  • Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud & Nordgreen, Tine [Vis alle 9 forfattere av denne artikkelen] (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol.
  • Tørresen, Jim (2019). Making Robots Adaptive and Preferable to Humans.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor. (Eng. Artificial Intelligence – who, what and where).
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria & Tørresen, Jim [Vis alle 7 forfattere av denne artikkelen] (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data.
  • Tørresen, Jim (2019). Folket bør få være med og styre KI-skuta. [Fagblad]. Forskningsetikk.
  • Tørresen, Jim (2019). Etikk blir viktigare for tilgang til pengesekken . [Fagblad]. Forskningsetikk.
  • Tørresen, Jim (2019). Intelligent Robots and Systems in Real-World Environment.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Rohlfing, Katharina J. & Tørresen, Jim (2019). Explainability: an interactive view.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). Deep Neural Networks.
  • Miura, Jun & Tørresen, Jim (2019). Intelligent Robot Technologies for Care and Lifestyle Support .
  • Comba, Joao Luiz Dihl & Tørresen, Jim (2019). Visual Data Analysis of Unstructured and Big Data.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). How to Write a Scientific Paper .
  • Orten, Mathias Kramer & Tørresen, Jim (2021). Machine Ethics for Autonomous systems – Learning verifiable rules from the environment. Universitetet i Oslo.
  • Nergård, Katrine Linnea; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Robot Control. Universitetet i Oslo.
  • Eijsink, Henrik; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Control. 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.
  • Akhsarbek, Gozoev; Tørresen, Jim & Iwashita, Yumi (2020). Ultra-Low Image Resolution Human Identification. 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.

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Publisert 4. nov. 2010 14:23 - Sist endret 17. mars 2021 13:01