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Our latest publications - ROBIN

  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim & Jensenius, Alexander Refsum (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data, In Grisha Coleman (ed.),  Proceedings of the 6th International Conference on Movement and Computing.  ACM Publications.  ISBN 978-1-4503-7654-9.  Article 12. Show summary
  • St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Benoit, Gosselin & Beltrame, Giovanni (2019). Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction.  ISSN 2573-9522.  8(2) . doi: 10.1145/3323213
  • Frogner, Joakim Lhle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven Alexander; Garcia-Ceja, Enrique; Tørresen, Jim & Riegler, Michael (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression, In Susanne Boll (ed.),  Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care.  ACM Digital Library.  ISBN 978-1-4503-6914-5.  1.  s 9 - 15 Show summary
  • 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, In  Proceedings of Content Based Multimedia Information (CBMI 2019).  IEEE conference proceedings.  ISBN 978-1-7281-4673-7.  1. Show summary
  • Ionescu, Bogdan; Müller, Henning; Péteri, Renaud; Cid, Yashin Dicente; Liauchuk, Vitali; Kovalev, Vassili; Klimuk, Dzmitri; Tarasau, Aleh; Abacha, Asma Ben; Hasan, Sadid A.; Datla, Vivek; Liu, Joey; Demner-Fushman, Dina; Dang Nguyen, Duc Tien; Piras, Luca; Riegler, Michael; Tran, Minh-Triet; Lux, Mathias; Gurrin, Cathal; Pelka, Obioma; Friedrich, Christoph M.; Garcia Seco de Herrera, Alba; Garcia, Narciso; Kavallieratou, Ergina; del Blanco, Carlos Roberto; Cuevas, Carlos; Vasillopoulos, Nikos; Karampidis, Konstantinos; Chamberlain, Jon; Clark, Adrian & Campello, Antonio (2019). ImageCLEF 2019: Multimedia retrieval in medicine, lifelogging, security and nature. Lecture Notes in Computer Science.  ISSN 0302-9743.  11696 LNCS, s 358- 386 . doi: 10.1007/978-3-030-28577-7_28
  • 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.  ISSN 0302-9743.  11730 LNCS, s 462- 473 . doi: 10.1007/978-3-030-30490-4_37
  • Weber, Aline; Alegre, Lucas N.; Tørresen, Jim & Castro da Silva, Bruno (2019). Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise, In Federico Visi (ed.),  Music Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Artikkel.  s 174 - 179
  • 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, In Chrisina Jayne & Zoltán Somogyvári (ed.),  2019 International Joint Conference on Neural Networks (IJCNN).  IEEE.  ISBN 978-1-7281-1985-4.  Artikkel.
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2019). Robot-Care for the Older People: Ethically Justified or Not?, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  1. Show summary
  • 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.
  • 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.  ISSN 2278-0149.  8(1), s 6- 11
  • Woll, Anita & Tørresen, Jim (2019). 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
  • Woll, Anita & Bratteteig, Tone (2019). A trajectory for technology-supported elderly care work. Computer Supported Cooperative Work (CSCW).  ISSN 0925-9724.  28(1-2), s 127- 168
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  Kapittel.
  • Weber, Aline; Martin, Charles Patrick; Tørresen, Jim & da Silva, Bruno Castro (2019). Identifying Reusable Early-Life Options, In  Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.  2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  Conference Paper.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). 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.  ISSN 2152-4092.  2019-May, s 8883- 8889 . doi: 10.1109/ICRA.2019.8794077 Full text in Research Archive.
  • 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.  ISSN 2152-4092.  2019-May, s 9446- 9452 . doi: 10.1109/ICRA.2019.8793663 Full text in Research Archive.
  • Uddin, Md Zia; Torresen, Jim & Rokkones, Anders Skibeli (2019). Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network, In  9TH IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS.  IEEE.  ISBN 978-1-7281-2745-3.  1570560874.
  • Uddin, Md Zia; Khaksar, Weria & Torresen, Jim (2019). A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN, In  The 17th IEEE International Conference on Industrial Informatics (IEEE-INDIN 2019).  IEEE.  ISBN 9781-7281-2927-3.  HD-010936.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion, In Manuel López-Ibáñez (ed.),  GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-6111-8.  Kapittel.
  • Faitas, Andrei; Baumann, Synne Engdahl; Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.  s 260 - 265
  • Næss, Torgrim Rudland & Martin, Charles Patrick (2019). A Physical Intelligent Instrument using Recurrent Neural Networks, In Marcelo Queiroz & Anna Xambo Sedo (ed.),  Proceedings of the International Conference on New Interfaces for Musical Expression.  Universidade Federal do Rio Grande do Sul.  Conference Paper.  s 79 - 82
  • Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine & Elle, Ole Jacob (2019). Multiscale deep desmoking for laparoscopic surgery. Progress in Biomedical Optics and Imaging.  ISSN 1605-7422.  10949:109491Y, s 1- 9 . doi: 10.1117/12.2507822
  • Uddin, Md Zia & Torresen, Jim (2019). Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network. International Symposium on Medical Information and Communication Technology.  ISSN 2326-828X.  2019-May . doi: 10.1109/ISMICT.2019.8743759
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives. Evolutionary Computation.  ISSN 1063-6560.  Early Access . doi: 10.1162/evco_a_00250 Show summary
  • 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
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Torresen, Jim & Glette, Kyrre (2019). Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. Lecture Notes in Computer Science.  ISSN 0302-9743.  11454 LNCS, s 616- 632 . doi: 10.1007/978-3-030-16692-2_41
  • Pelanis, Egidijus; Kumar, Rahul Prasanna; Aghayan, Davit; Palomar, Rafael; Fretland, Åsmund Avdem; Brun, Henrik; Elle, Ole Jacob & Edwin, Bjørn (2019). Use of mixed reality for improved spatial understanding of liver anatomy. MITAT. Minimally invasive therapy & allied technologies.  ISSN 1364-5706.  s 1- 7 . doi: 10.1080/13645706.2019.1616558 Full text in Research Archive.
  • Noori, Farzan Majeed; Wallace, Benedikte; Uddin, Md Zia & Torresen, Jim (2019). A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network. Lecture Notes in Computer Science.  ISSN 0302-9743.  11482 LNCS, s 299- 310 . doi: 10.1007/978-3-030-20205-7_25
  • Wallace, Benedikte & Martin, Charles Patrick (2019). Comparing models for harmony prediction in an interactive audio looper. Lecture Notes in Computer Science.  ISSN 0302-9743.  11453 LNCS, s 173- 187 . doi: 10.1007/978-3-030-16667-0_12
  • Khaksar, Weria; Uddin, Md Zia & Torresen, Jim (2019). Neuro-Fuzzy Sampling: Safe and fast multi-query randomized path planning for mobile robots. Communications in Computer and Information Science.  ISSN 1865-0929.  1015, s 13- 27 . doi: 10.1007/978-981-13-7780-8_2
  • Alam, Md Golam Rabiul; Munir, Md. Shirajum; Uddin, Md Zia; Alam, Mohammed Shamsul; Dang, Tri Nguyen & Hong, Choong Seon (2019). Edge-of-things computing framework for cost-effective provisioning of healthcare data. Journal of Parallel and Distributed Computing.  ISSN 0743-7315.  123, s 54- 60 . doi: 10.1016/j.jpdc.2018.08.011
  • Hassan, Mohammed Mehedi; Alam, Md Golam Rabiul; Uddin, Md Zia; Huda, Shamsul; Almogren, Ahmad & Fortino, Giancarlo (2019). Human emotion recognition using deep belief network architecture. Information Fusion.  ISSN 1566-2535.  51, s 10- 18 . doi: 10.1016/j.inffus.2018.10.009
  • Krogh, Magnus Reinsfelt; Halvorsen, Per Steinar; Elle, Ole Jacob; Bergsland, Jacob & Remme, Espen W. (2019). Dynamic gravity compensation does not increase detection of myocardial ischemia in combined accelerometer and gyro sensor measurements. Scientific Reports.  ISSN 2045-2322.  9(1) . doi: 10.1038/s41598-018-35630-x
  • 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 Show summary
  • Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre; Laviolette, Francois & Gosselin, Benoit (2019). Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE transactions on neural systems and rehabilitation engineering.  ISSN 1534-4320.  27(4), s 760- 771 . doi: 10.1109/TNSRE.2019.2896269 Show summary
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music Generation, In Isabel Barbancho; Lorenzo J. Tardón; Alberto Peinado & Ana M. Barbancho (ed.),  SMC 2019 Proceedings of the 16th Sound & Music Computing Conference.  Society for Sound and Music Computing.  ISBN 978-84-09-08518-7.  P2.1.  s 217 - 222
  • Alam, Md Golam Rabiul; Hassan, Mohammed Mehedi; Uddin, Md Zia; Almogren, Ahmad & Fortino, Giancarlo (2019). Autonomic computation offloading in mobile edge for IoT applications. Future generations computer systems.  ISSN 0167-739X.  90, s 149- 157 . doi: 10.1016/j.future.2018.07.050

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  • Ellefsen, Kai Olav & Rohlfing, Katharina J. (2019). Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).  ISBN 0000000000000.  8 s.
  • Uddin, Md Zia (2019). 9TH IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS. IEEE.  ISBN 978-1-7281-2745-3.
  • Uddin, Md Zia (2019). The 17th IEEE International Conference on Industrial Informatics (IEEE-INDIN 2019). IEEE.  ISBN 9781-7281-2927-3.  1500 s.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Springer.  ISBN 978-3-030-30489-8.  12 s.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. IEEE.  ISBN 978-1-5386-7098-9.  7 s.

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  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria; Tørresen, Jim & Jensenius, Alexander Refsum (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data. Show summary
  • 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.
  • Ellefsen, Kai Olav (2019). Hva Kan Roboter Lære av Biologisk Liv?.
  • Langhammer, Birgitta; Woll, Anita & Skjønberg, Jeppe (2019). The use of Technology to promote activity and communication by the municipality services, examples from an urban area.
  • Rohlfing, Katharina J. & Tørresen, Jim (2019). Explainability: an interactive view.
  • Comba, Joao Luiz Dihl & Tørresen, Jim (2019). Visual Data Analysis of Unstructured and Big Data.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). How to Write a Scientific Paper.
  • Miura, Jun & Tørresen, Jim (2019). Intelligent Robot Technologies for Care and Lifestyle Support.
  • Refsum, Vetle Kind; Khaksar, Weria & Tørresen, Jim (2019). Human aware navigation and reaction for a mobile service robot with a LIDAR unit.
  • Lappyová, Veronika; Khaksar, Weria & Tørresen, Jim (2019). Development and implementation of human detection and following method on a mobile robot.
  • Tørresen, Jim (2019). Hva er kunstig intelligens?.
  • Tørresen, Jim (2019). Artificial Intelligence and Applications in Health and Care.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Tørresen, Jim (2019). Supporting Older People with Robots for Independent Living. Show summary
  • Tørresen, Jim (2019). AI for Robots Interacting with Humans.
  • Tørresen, Jim (2019). Ethical Considerations for Healthcare Robots. Show summary
  • Tørresen, Jim (2019). Robots and Mobile Apps Solving Problems Better with Artificial Intelligence.
  • Tørresen, Jim (2019). Supporting Older People at Home with a Mobile Robot for Independent Living.
  • Tørresen, Jim (2019). Future and Ethical Perspectives of Robotics and AI.
  • Tørresen, Jim (2019). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2019). Design and Control of Robots for Real-World Environment.
  • Tørresen, Jim (2019). Introduction to Different Challenges in Ethical AI and Possible Ways of Addressing Them. Show summary
  • Tørresen, Jim (2019). Intelligent and Adaptive Robots in Real-World Environment. Show summary
  • Tørresen, Jim (2019). Ethics and artificial intelligence in healthcare.
  • Sioros, George; Câmara, Guilherme Schmidt; Danielsen, Anne & Nymoen, Kristian (2019). Timing and drummers’ movement: A novel methodology for performance analysis. Show summary
  • Noori, Farzan Majeed (2019). A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network.
  • Noori, Farzan Majeed (2019). Robot-Care for the Older People: Ethically Justified or Not?.
  • Câmara, Guilherme Schmidt; Nymoen, Kristian & Danielsen, Anne (2019). Timing is Everything... Or is it? Part II: Effects of Instructed Timing Style and Timing Reference on Drum-Kit Sound in Groove Performance.
  • Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2019). Timing is Everything... Or is it? Part I: Effects of Instructed Timing and Reference on Guitar and Bass Sound in Groove Performance.
  • Mahler, Tobias; Bygrave, Lee Andrew & Tørresen, Jim (2019). The VIROS Project: Vulnerability in the Robot Society.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN.
  • Rokkones, Anders Skibeli; Uddin, Md Zia & Torresen, Jim (2019). Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network.
  • Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). A Physical Intelligent Instrument using Recurrent Neural Networks.
  • Martin, Charles Patrick & Torresen, Jim (2019). An Interactive Music Prediction System with Mixture Density Recurrent Neural Networks.
  • Faitas, Andrei; Baumann, Synne Engdahl; Torresen, Jim & Martin, Charles Patrick (2019). Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks.
  • Martin, Charles Patrick; Næss, Torgrim Rudland; Faitas, Andrei & Baumann, Synne Engdahl (2019). Session on Musical Prediction and Generation with Deep Learning.
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks.
  • Martin, Charles Patrick (2019). Workshop on Making Predictive NIMEs with Neural Networks.
  • Glette, Kyrre (2019). Kunstig intelligens for tilpasningsdyktige roboter.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing.
  • Uddin, Md Zia (2019). Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network.
  • Uddin, Md Zia (2019). A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN. Show summary
  • Nygaard, Tønnes Frostad & Simon, Matt (2019, 20. mai). Inside Facebook's New Robotics Lab, Where AI and Machines Friend One Another. [Fagblad].  Wired.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
  • Nordmoen, Jørgen Halvorsen & Fadelli, Ingrid (2019, 16. april). A new method to enable robust locomotion in a quadruped robot. [Internett].  TechXplore.
  • 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.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods..
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks.
  • Ellefsen, Kai Olav; Huizinga, Joost & Tørresen, Jim (2019). Guiding Neuroevolution with Structural Objectives.
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2019). 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.  ISSN 2041-1723.  10(1) . doi: 10.1038/s41467-019-10070-x
  • Tørresen, Jim (2019). Making Robots Adaptive and Preferable to Humans.
  • Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud; Nordgreen, Tine; McInnis, Melvin; Tørresen, Jim & Ødegaard, Ketil Joachim (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.

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