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1 Aamodt, Torkil; Tørresen, Jim.
Comparing Neural Networks for Predicting Stock Markets. I: Proceedings of 18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017. Springer 2017 ISBN 978-3-319-651712. s. 363-375
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2 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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3 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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4 Brustad, Henrik.
Digital Audio Generation with Neural Networks. Universitetet i Oslo 2018 69 s.
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5 Chou, Jiader.
Terrain classification using 3D optical tactile sensor. Universitetet i Oslo 2017 105 s.
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6 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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7 Ellefsen, Kai Olav.
Automating Robot Design with Evolutionary Algorithms. Guest lecture at UFRGS related to international exchange project; 2017-04-04 - 2017-04-04
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8 Ellefsen, Kai Olav.
Evolusjonær Robotikk: Automatisk design og kontroll av roboter. Elevkveld Ent3r; 2018-10-23 - 2018-10-23
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9 Ellefsen, Kai Olav.
Evolutionary Robotics: Automatic design of robot bodies and control. Guest lecture at Senai CIMATEC connected to international exchange project; 2017-04-06 - 2017-04-06
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10 Ellefsen, Kai Olav.
Hva Kan Roboter Lære av Biologisk Liv?. BIO-konferansen 2019; 2019-11-08 - 2019-11-08
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11 Ellefsen, Kai Olav.
Internal Models for Adaptation and Prediction. First Oslo Workshop on Autonomous and Adaptive Systems; 2017-05-11 - 2017-05-11
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12 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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13 Ellefsen, Kai Olav; Huizinga, Joost; Tørresen, Jim.
Guiding Neuroevolution with Structural Objectives. Evolutionary Computation 2019 ;Volum 28.(1) s. 115-140
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14 Ellefsen, Kai Olav; Lepikson, Herman; Albiez, Jan.
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. Applied Soft Computing 2017 (61) s. 264-282
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15 Ellefsen, Kai Olav; Rohlfing, Katharina J..
Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE 2019 (ISBN 978-1-5386-8129-9) 340 s.
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16 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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17 Ellefsen, Kai Olav; Tørresen, Jim.
Evolutionary Robotics: Automatic design of robot controllers and bodies. Guest lecture for students at URFGS, Rio Grande do Sul; 2018-10-24 - 2018-10-24
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18 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. The 14th European Conference on Artificial Life; 2017-09-04 - 2017-09-08
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19 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. I: Proceedings of the European Conference on Artificial Life 2017. MIT Press 2017 ISBN 978-0-262-34633-7. s. 138-145
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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. s. 28-39
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22 Fahle, Hans Fredrik; Fahle, Hans Fredrik.
Predicting Gaits Based on Prior Experience. Universitetet i Oslo 2017 82 s.
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23 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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24 Faitas, Andrei; Baumann, Synne Engdahl; Torresen, Jim; Martin, Charles Patrick.
Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks. Conference Presentation; 2019-06-03 - 2019-06-06
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25 Fjeld, Matias Hermanrud.
3D Spatial Navigation in Octrees with Reinforcement Learning. Universitetet i Oslo 2018 55 s.
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26 Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim.
Prediction, Interaction, and User Behaviour. IEEE World Congress on Computational Intelligence; 2018-07-08 - 2018-07-13
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27 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. s. -
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28 Garcia, Rafael; Telea, Alexandru C; Castro da Silva, Bruno; Tørresen, Jim; Dihl Comba, Joao Luiz.
A task-and-technique centered survey on visual analytics for deep learning model engineering. Computers & graphics 2018 ;Volum 77. s. 30-49
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29 Glette, Kyrre.
Automatic design of bodies and behaviors for real-world robots. 2018 ICRA Workshop on Autonomous Robot Design; 2018-05-21
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30 Glette, Kyrre.
Automatic design of shapes and behaviors for robots. Faculty of Electrical Engineering and Information Technology Research Seminar; 2018-10-22
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31 Glette, Kyrre.
Evolutionary algorithms for intelligent robots. Impact Breakfast; 2020-01-29
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32 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Fra data til innsikt - innovasjonskonferanse 2019; 2019-01-10
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33 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Åpen dag; 2019-03-07
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34 Glette, Kyrre.
Robotics, Intelligent Systems and Evolutionary Computation. Gjesteforelesning; 2018-12-03
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35 Glette, Kyrre.
Self-teaching robots. Cutting Edge 2016; 2016-10-18
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36 Glette, Kyrre.
Self-teaching robots. WAI meeting; 2017-01-16
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37 Glette, Kyrre; Nygaard, Tønnes Frostad; Vogt, Yngve.
Her er universitetets nest selvlærende robot. Teknisk ukeblad [Fagblad] 2019-11-19
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38 Jensenius, Alexander Refsum; Martin, Charles Patrick; Bjerkestrand, Kari Anne Vadstensvik; Johnson, Victoria.
Stillness under Tension.
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39 Jensenius, Alexander Refsum; Martin, Charles Patrick; Bjerkestrand, Kari Anne Vadstensvik; Johnson, Victoria.
Sverm-Muscle.
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40 Martin, Charles Patrick.
Creative Prediction with Neural Networks. Maskinlæring og musikk + årsmøte Tekna Big Data; 2018-10-16 - 2018-10-16
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41 Martin, Charles Patrick.
Deep Predictive Models in Interactive Music. Applied Artificial Intelligence Seminar; 2018-03-09 - 2018-03-09
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42 Martin, Charles Patrick.
Making Social Music with MicroJam. Cutting Edge; 2017-09-26 - 2017-09-26
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43 Martin, Charles Patrick.
MicroJam. Apple iTunes Store 2018
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44 Martin, Charles Patrick.
MicroJam: A Social App for Making Music. Boost - Technology and Equality in Music; 2017-06-19 - 2017-06-21
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45 Martin, Charles Patrick.
Musical Networks: Using Recurrent Neural Networks to Model and Complement Musical Creativity. Musikkteknologidagene 2017; 2017-10-09 - 2017-10-11
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46 Martin, Charles Patrick.
Percussionist-Centred Design for Touchscreen Digital Musical Instruments. Contemporary Music Review 2017 ;Volum 36.(1-2) s. 64-85
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47 Martin, Charles Patrick.
Predictive Music Systems for Interactive Performance. MARCS Monday Meeting; 2018-07-09 - 2018-07-09
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48 Martin, Charles Patrick.
Virtuosic Interactions / Performing with a Neural iPad Band. Art & Interaction in New Media, Artist Talk Series; 2017-07-27 - 2017-07-27
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49 Martin, Charles Patrick; Ellefsen, Kai Olav; Tørresen, Jim.
Deep Models for Ensemble Touch-Screen Improvisation. I: Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences. Association for Computing Machinery (ACM) 2017 ISBN 978-1-4503-5373-1. s. -
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50 Martin, Charles Patrick; Gardner, Henry.
Free-Improvised Rehearsal-as-Research for Musical HCI. I: New Directions in Music and Human-Computer Interaction. Springer 2019 ISBN 978-3-319-92068-9. s. 269-284
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