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2020
1 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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2 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. -
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3 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
4 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)
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5 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
 
6 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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7 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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8 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
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9 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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10 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
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11 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
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12 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
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13 Castro da Silva, Bruno; Tørresen, Jim.
Deep Neural Networks. Guest lecture in course IN5490/IN9495; 2019-08-29
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14 Castro da Silva, Bruno; Tørresen, Jim.
How to Write a Scientific Paper. Lecture in course IN54990/IN9495; 2019-08-26
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15 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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16 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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17 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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18 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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19 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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20 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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21 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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22 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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23 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
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24 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
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25 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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26 Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud; Nordgreen, Tine; McInnis, Melvin; Tørresen, Jim; Ødegaard, Ketil Joachim.
Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol. The 21st Annual International Society for Bipolar Disorders Conference; 2019-03-20 - 2019-03-23
HAUKELAND HELSEFONNA SINTEF UiB UiO Untitled
 
27 Khaksar, Weria; Uddin, Md Zia; Tørresen, Jim.
Fuzzy Motion Planning for Nonholonomic Mobile Robot Navigation in Unknown Indoor Environments. International Journal of Mechanical Engineering and Robotics Research (IJMERR) 2019 ;Volume 8.(1) p. 6-11
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28 Khaksar, Weria; Uddin, Md Zia; Tørresen, Jim.
Multi-Query Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. International Journal of Applied Mathematics and Computer Science 2019 ;Volume 29.(4) p. 641-654
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29 Khaksar, Weria; Uddin, Md Zia; Tørresen, Jim.
Neuro-Fuzzy Sampling: Safe and fast multi-query randomized path planning for mobile robots. Communications in Computer and Information Science 2019 ;Volume 1015. p. 13-27
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30 Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum.
RaveForce: A Deep Reinforcement Learning Environment for Music. The 16th Sound and Music Computing Conference; 2019-05-28 - 2019-05-31
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31 Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum.
RaveForce: A Deep Reinforcement Learning Environment for Music Generation. I: SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. Malaga: Society for Sound and Music Computing 2019 ISBN 978-84-09-08518-7. p. 217-222
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32 Lappyová, Veronika.
Development and implementation of human detection and following method on a mobile robot. Universitetet i Oslo 2019 115 p.
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33 Mahler, Tobias; Bygrave, Lee Andrew; Tørresen, Jim.
The VIROS Project: Vulnerability in the Robot Society. WeRobot 2019; 2019-04-12
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34 Martin, Charles Patrick; Tørresen, Jim.
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. Lecture at NIME2019; 2019-06-03 - 2019-06-06
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35 Martin, Charles Patrick; Tørresen, Jim.
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks. I: Proceedings of the International Conference on New Interfaces for Musical Expression. Porto Alegre: Universidade Federal do Rio Grande do Sul 2019 p. 260-265
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36 Martin, Charles Patrick; Tørresen, Jim.
Data Driven Analysis of Tiny Touchscreen Performance with MicroJam. Computer Music Journal 2019 ;Volume 43.(4)
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37 Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim.
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 2019; 2019-05-20 - 2019-05-24
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38 Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim.
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 2019 ;Volume 2019-May. p. 8883-8889
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39 Miura, Jun; Tørresen, Jim.
Intelligent Robot Technologies for Care and Lifestyle Support. Guest lecture for staff and students at UiO; 2019-09-11
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40 Noori, Farzan Majeed; Garcia-Ceja, Enrique; Uddin, Md Zia; Riegler, Michael; Tørresen, Jim.
Fusion of Multiple Representations Extracted from a Single Sensor’s Data for Activity Recognition Using CNNs. I: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE 2019 ISBN 978-1-7281-1985-4. p. -
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41 Noori, Farzan Majeed; Kahlon, Smiti; Lindner, Philip; Nordgreen, Tine; Tørresen, Jim; Riegler, Michael.
Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety. I: Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings 2019 ISBN 978-1-7281-4673-7. p. -
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42 Noori, Farzan Majeed; Uddin, Md Zia; Tørresen, Jim.
Robot-Care for the Older People: Ethically Justified or Not?. I: Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE 2019 ISBN 978-1-5386-8129-9. p. 43-47
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43 Noori, Farzan Majeed; Wallace, Benedikte; Uddin, Md Zia; Tørresen, Jim.
A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. Lecture Notes in Computer Science (LNCS) 2019 ;Volume 11482 LNCS. p. 299-310
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44 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. Lecture Notes in Computer Science (LNCS) 2019 ;Volume 11454 LNCS. p. 616-632
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45 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. IEEE International Conference on Robotics and Automation 2019 ;Volume 2019-May. p. 9446-9452
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46 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. 2019 International Conference on Robotics and Automation (ICRA); 2019-05-20 - 2019-05-24
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47 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. The 2019 Symposium of the Norwegian AI Society; 2019-05-27 - 2019-05-28
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48 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. 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. 58-68
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49 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing. 2019 ICRA Workshop on Learning Legged Locomotion; 2019-05-24
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50 Næss, Torgrim Rudland.
A Physical Intelligent Instrument using Recurrent Neural Networks. Universitetet i Oslo 2019 80 p.
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