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2020
1 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 ;Volum 3.(6)
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2 Ripon, Kazi Shah Nawaz; Nyman, Jacob Henrik.
Hospital Surgery Scheduling Under Uncertainty Using Multiobjective Evolutionary Algorithms. I: Big Data Analytics in Healthcare. Switzerland: Springer International Publishing 2020 ISBN 978-3-030-31672-3. s. 107-142
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3 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.
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4 Woll, Anita; Tørresen, Jim.
Bridging the User Barriers of Home Telecare. Advances in Intelligent Systems and Computing 2020 ;Volum 1069. s. 816-835
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2019
5 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 ;Volum 10.(1)
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6 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 ;Volum 9.(1) s. -
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7 Alam, Md Golam Rabiul; Hassan, Mohammed Mehedi; Uddin, Md Zia; Almogren, Ahmad; Fortino, Giancarlo.
Autonomic computation offloading in mobile edge for IoT applications. Future generations computer systems 2019 ;Volum 90. s. 149-157
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8 Alam, Md Golam Rabiul; Munir, Md. Shirajum; Uddin, Md Zia; Alam, Mohammed Shamsul; Dang, Tri Nguyen; Hong, Choong Seon.
Edge-of-things computing framework for cost-effective provisioning of healthcare data. Journal of Parallel and Distributed Computing 2019 ;Volum 123. s. 54-60
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9 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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10 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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11 Bråthen, Heidi; Maartmann-Moe, Harald; Schulz, Trenton Wade.
The Role of Physical Prototyping in Participatory Design with Older Adults. I: ACHI 2019, The Twelfth International Conference on Advances in Computer-Human Interactions. International Academy, Research and Industry Association (IARIA) 2019 ISBN 978-1-61208-686-6. s. 141-146
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12 Câmara, Guilherme Schmidt; Nymoen, Kristian; Danielsen, Anne.
Timing is Everything... Or is it? Part II: Effects of Instructed Timing Style and Timing Reference on Drum-Kit Sound in Groove Performance. 2019 biennial meeting of the Society for Music Perception and Cognition; 2019-08-05 - 2019-08-07
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13 Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier; Danielsen, Anne.
Timing is Everything... Or is it? Part I: Effects of Instructed Timing and Reference on Guitar and Bass Sound in Groove Performance. 17th Rhythm Production and Perception Workshop; 2019-06-17 - 2019-06-20
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14 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 ;Volum 7.(1) s. 111012--111029
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15 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 ;Volum 11730 LNCS. s. 462-473
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16 Castro da Silva, Bruno; Tørresen, Jim.
Deep Neural Networks. Guest lecture in course IN5490/IN9495; 2019-08-29
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17 Castro da Silva, Bruno; Tørresen, Jim.
How to Write a Scientific Paper. Lecture in course IN54990/IN9495; 2019-08-26
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18 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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19 Ellefsen, Kai Olav.
Hva Kan Roboter Lære av Biologisk Liv?. BIO-konferansen 2019; 2019-11-08 - 2019-11-08
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20 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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21 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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22 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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23 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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24 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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25 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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26 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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27 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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28 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. s. 9-15
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29 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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30 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Fra data til innsikt - innovasjonskonferanse 2019; 2019-01-10
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31 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Åpen dag; 2019-03-07
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32 Glette, Kyrre; Nygaard, Tønnes Frostad; Vogt, Yngve.
Her er universitetets nest selvlærende robot. Teknisk ukeblad [Fagblad] 2019-11-19
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33 Gurrin, Cathal; Schoeffmann, Klaus; Joho, Hideo; Dang Nguyen, Duc Tien; Riegler, Michael; Piras, Luca.
LSC '19: Proceedings of the ACM Workshop on Lifelog Search Challenge. Association for Computing Machinery (ACM) 2019 (ISBN 978-1-4503-6781-3) 50 s.
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34 Hassan, Mohammed Mehedi; Alam, Md Golam Rabiul; Uddin, Md Zia; Huda, Shamsul; Almogren, Ahmad; Fortino, Giancarlo.
Human emotion recognition using deep belief network architecture. Information Fusion 2019 ;Volum 51. s. 10-18
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35 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
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36 Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Glette, Kyrre; Nymoen, Kristian.
Self-playing Guitars. [Kunstnerisk og museal presentasjon] Life science light event in the Botanical Garden. ; . 2019-02-14 - 2019-02-14
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37 Kamil, Farah; Hong, Tang Sai; Khaksar, Weria; Zulkifli, Norzima; Ahmad, Siti Azfanizam.
An ANFIS-based Optimized Fuzzy-multilayer Decision Approach for a Mobile Robotic System in Ever-changing Environment. International Journal of Control, Automation and Systems 2019 ;Volum 17.(1) s. 253-266
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38 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 ;Volum 8.(1) s. 6-11
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39 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 ;Volum 29.(4) s. 641-654
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40 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 ;Volum 1015. s. 13-27
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41 Krogh, Magnus Reinsfelt; Halvorsen, Per Steinar; Elle, Ole Jacob; Bergsland, Jacob; Remme, Espen W..
Dynamic gravity compensation does not increase detection of myocardial ischemia in combined accelerometer and gyro sensor measurements. Scientific Reports 2019 ;Volum 9.(1)
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42 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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43 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. s. 217-222
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44 Langhammer, Birgitta; Woll, Anita; Skjønberg, Jeppe.
The use of Technology to promote activity and communication by the municipality services, examples from an urban area. ICT Innovations 2019. Big Data Processing and Mining / Sheld-on second conference; 2019-10-16 - 2019-10-17
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45 Lappyová, Veronika.
Development and implementation of human detection and following method on a mobile robot. Universitetet i Oslo 2019 115 s.
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46 Mahler, Tobias; Bygrave, Lee Andrew; Tørresen, Jim.
The VIROS Project: Vulnerability in the Robot Society. WeRobot 2019; 2019-04-12
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47 Martin, Charles Patrick.
Workshop on Making Predictive NIMEs with Neural Networks. International Conference on New Interfaces for Musical Expression 2019; 2019-06-03 - 2019-06-03
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48 Martin, Charles Patrick; Næss, Torgrim Rudland; Faitas, Andrei; Baumann, Synne Engdahl.
Session on Musical Prediction and Generation with Deep Learning. Guest lecture for students at UFRGS, Rio Grande do Sol; 2019-06-06 - 2019-06-06
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49 Martin, Charles Patrick; Torresen, Jim.
An Interactive Music Prediction System with Mixture Density Recurrent Neural Networks. Conference Presentation; 2019-06-03 - 2019-06-03
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50 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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