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2020
1 Akhsarbek, Gozoev.
Ultra-Low Image Resolution Human Identification. Universitetet i Oslo 2020 105 p.
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2 da Silva, Bruno Castro; Tørresen, Jim.
Deep reinforcement learning. Lecture in course IN54990/IN9495; 2020-08-26
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3 da Silva, Bruno Castro; Tørresen, Jim.
Deep Neural Networks. Lecture in course IN54990/IN9495; 2020-08-26
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4 da Silva, Bruno Castro; Tørresen, Jim.
Write a Scientific Paper. Lecture in course IN54990/IN9495; 2020-08-27
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5 Erdem, Cagri; Lan, Qichao; Fuhrer, Julian; Martin, Charles Patrick; Tørresen, Jim; Jensenius, Alexander Refsum.
Towards Playing in the 'Air': Modeling Motion-Sound Energy Relationships in Electric Guitar Performance Using Deep Neural Networks. I: Proceedings of the 17th Sound and Music Computing Conference. : Axea sas/SMC Network 2020 ISBN 978-88-945415-0-2. p. 177-184
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6 Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt; Ødegaard, Ketil Joachim.
Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls. PLOS ONE 2020 ;Volume 15:e0231995.(8) p. 1-16
HAUKELAND SINTEF UiB UiO Untitled
 
7 Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes; Tørresen, Jim.
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning. Frontiers in Artificial Intelligence 2020 ;Volume 3.(6)
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8 Noori, Farzan Majeed; Uddin, Md Zia; Tørresen, Jim.
Presentation on In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning. IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS); 2020-09-21 - 2020-09-25
SINTEF UiO Untitled
 
9 Noori, Farzan; Riegler, Michael; Uddin, Md Zia; Tørresen, Jim.
Human Activity Recognition from Multiple Sensors Data Using Multi-Fusion Representations and CNNs. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) 2020 ;Volume 16.(2) p. -
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10 Primstad, Pål.
A Thermal and RGB feature extraction system for use in autonomous navigation. Universitetet i Oslo 2020 121 p.
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11 Saplacan, Diana; Herstad, Jo; Tørresen, Jim; Pajalic, Zada.
A Framework on Division of Work Tasks between Humans and Robots in the Home. Multimodal Technologies and Interaction 2020 ;Volume 4.(3) p. -
OSLOMET UiO Untitled
 
12 Tariverdi, Abbas; Venkiteswaran, Venkatasubramanian Kalpathy; Martinsen, Ørjan Grøttem; Elle, Ole Jacob; Tørresen, Jim; Misra, Sarthak.
Dynamic modeling of soft continuum manipulators using lie group variational integration. PLOS ONE 2020 ;Volume 15:e0236121.(7) p. 1-29
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13 Tørresen, Jim.
A collaboration journey to Japan that started for more than 25 years ago. Norway-Japan Academic Network; 2020-02-26
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14 Tørresen, Jim.
Addressing Ethical Challenges for Care Giving Robots. We Robot 2020; 2020-09-22 - 2020-09-25
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15 Tørresen, Jim.
AI Ethics: How to achieve ethically good artificial intelligence research and development. Chalmers AI Ethics seminar series; 2020-01-07
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16 Tørresen, Jim.
Intelligent Robots and Systems for Foundational and Applied Healthcare Research. Guest lecture at Nagoya University; 2020-01-28
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17 Tørresen, Jim.
Interdisciplinary Research Collaboration in Rhythm, Time and Motion. Guest lecture at Toyohashi University of Technology; 2020-01-27
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18 Tørresen, Jim.
Sensing Human State with Application in Older People Care and Mental Health Treatment. AI4Health Lecture Series; 2020-03-10
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19 Tørresen, Jim.
Tutorial: Addressing Ethical Challenges within Evolutionary Computation Applications. Genetic and Evolutionary Computation Conference (GECCO 2020); 2020-07-08 - 2020-07-12
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20 Tørresen, Jim.
Tutorial: Ethical Considerations in User Modeling and Personalization. International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2020); 2020-07-12 - 2020-07-18
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21 Tørresen, Jim; Kurazume, Ryo; Prestes, Edson.
Guest Editorial: Special Issue on Elderly Care Robotics – Technology and Ethics. Journal of Intelligent and Robotic Systems 2020 ;Volume 98. p. 3-4
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22 Uddin, Md Zia; Noori, Farzan Majeed; Tørresen, Jim.
In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning. I: IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE 2020 ISBN 0000000000.
SINTEF UiO Untitled
 
23 Valer, Rafael.
Musical Brush: Development and Exploration of a Tool that Supports Creativity by Combining Music with Drawing. : Universidade Federal do Rio Grande do Sul 2020 102 p.
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24 Wallace, Benedikte; Nymoen, Kristian; Martin, Charles Patrick; Tørresen, Jim.
Towards Movement Generation with Audio Features. 11th International Conference on Computational Creativity; 2020-09-07 - 2020-09-11
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25 Woll, Anita; Tørresen, Jim.
Bridging the User Barriers of Home Telecare. Advances in Intelligent Systems and Computing 2020 ;Volume 1069. p. 816-835
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2019
26 Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn; Rowe, Alexander D..
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 2019 ;Volume 10.(1)
NTNU OUS UiO Untitled
 
27 Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar; Glette, Kyrre; Tørresen, Jim; Rowe, Alexander D.; Dalhus, Bjørn.
Additive manufacturing of laminar flow cells for single-molecule experiments. Scientific Reports 2019 ;Volume 9.(1) p. -
NTNU OUS UiO Untitled
 
28 Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim; Jensenius, Alexander Refsum.
Functional Data Analysis of Rowing Technique Using Motion Capture Data. 6th International Conference on Movement and Computing; 2019-10-10 - 2019-10-12
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29 Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim; Jensenius, Alexander Refsum.
Functional Data Analysis of Rowing Technique Using Motion Capture Data. I: Proceedings of the 6th International Conference on Movement and Computing. ACM Publications 2019 ISBN 978-1-4503-7654-9.
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30 Camelo, Guilherme Antonio.
Human path prediction through machine learning trained with 2D video data and estimated 3D pose data. : Federal University of Rio Grande do Sul 2019 77 p.
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31 Carlsen, Per Antoine.
Real-Time Person Re-Identification for Mobile Robots to Improve Human-Robot Interaction. Universitetet i Oslo 2019 116 p.
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32 Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi.
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. 2019 International Joint Conference on Neural Networks (IJCNN); 2019-07-14 - 2019-07-19
OSLOMET UiO Untitled
 
33 Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi.
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. I: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE 2019 ISBN 978-1-7281-1985-4. p. -
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34 Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi.
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults. IEEE Access 2019 ;Volume 7.(1) p. 111012--111029
OSLOMET UiO Untitled
 
35 Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi.
Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Lecture Notes in Computer Science (LNCS) 2019 ;Volume 11730 LNCS. p. 462-473
OSLOMET UiO Untitled
 
36 Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi.
Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. I: 9th International Conference on Intelligent Systems (IS’18). IEEE 2019 ISBN 978-1-5386-7098-9. p. 662-668
OSLOMET UiO Untitled
 
37 Castro da Silva, Bruno; Tørresen, Jim.
Deep Neural Networks. Guest lecture in course IN5490/IN9495; 2019-08-29
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38 Castro da Silva, Bruno; Tørresen, Jim.
How to Write a Scientific Paper. Lecture in course IN54990/IN9495; 2019-08-26
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39 Comba, Joao Luiz Dihl; Tørresen, Jim.
Visual Data Analysis of Unstructured and Big Data. Mini-seminar on understanding data and intelligent systems; 2019-02-05
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40 Ellefsen, Kai Olav; Huizinga, Joost; Tørresen, Jim.
Guiding Neuroevolution with Structural Objectives. Evolutionary Computation 2019 ;Volume 28.(1) p. 115-140
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41 Ellefsen, Kai Olav; Huizinga, Joost; Tørresen, Jim.
Guiding Neuroevolution with Structural Objectives. The Genetic and Evolutionary Computation Conference (GECCO) 2019; 2019-07-13 - 2019-07-17
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42 Ellefsen, Kai Olav; Rolfing, Katharina J.; Dautenhahn, Kerstin; Tørresen, Jim.
Proc. of 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE conference proceedings 2019 (ISBN 978-1-5386-3715-9) 340 p.
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43 Ellefsen, Kai Olav; Tørresen, Jim.
Evolutionary Robotics: Automatic design of robot bodies and control. Guest lecture in course CMP166 Evolutionary Dynamical Systems at Universidade Federal do Rio Grande do Sul (UFRGS); 2019-10-24
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44 Ellefsen, Kai Olav; Tørresen, Jim.
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. The 2019 Symposium of the Norwegian AI Society; 2019-05-27 - 2019-05-28
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45 Ellefsen, Kai Olav; Tørresen, Jim.
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks. I: Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer 2019 ISBN 978-3-030-35664-4. p. 28-39
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46 Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim; Martin, Charles Patrick.
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks. I: Proceedings of the International Conference on New Interfaces for Musical Expression. Porto Alegre: Universidade Federal do Rio Grande do Sul 2019
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47 Frogner, Joakim Ihle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven; Garcia-Ceja, Enrique; Tørresen, Jim; Riegler, Michael.
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. I: HealthMedia '19: Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care. Association for Computing Machinery (ACM) 2019 ISBN 978-1-4503-6914-5. p. 9-15
HK OSLOMET SINTEF UiO Untitled
 
48 Garcia Ceja, Enrique Alejandro; Riegler, Michael Alexander; Kvernberg, Anders Kongsli; Tørresen, Jim.
User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation. User modeling and user-adapted interaction 2019 p. 1-29
HK SINTEF UiO Untitled
 
49 Garcia, Rafael; Falcao, Alexandre Xavier; Telea, Alexandru C.; Castro da Silva, Bruno; Tørresen, Jim; Comba, Joao Luiz Dihl.
A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. I: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE 2019 ISBN 978-1-7281-1985-4. p. -
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50 Hosseinpoor, Sadegh.
Semantic Terrain Segmentation with an Original RGB Data Set, Targeting Elevation Differences. Universitetet i Oslo 2019 90 p.
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