Norwegian version of this page

Our latest publications - ROBIN

  • 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
  • Kamil, Farah; Hong, Tang Sai; Khaksar, Weria; Zulkifli, Norzima & Ahmad, Siti Azfanizam (2019). An ANFIS-based Optimized Fuzzy-multilayer Decision Approach for a Mobile Robotic System in Ever-changing Environment. International Journal of Control, Automation and Systems.  ISSN 1598-6446.  17(1), s 253- 266 . doi: 10.1007/s12555-017-0068-4
  • Bråthen, Heidi; Maartmann-Moe, Harald & Schulz, Trenton Wade (2019). The Role of Physical Prototyping in Participatory Design with Older Adults, In Uttam Kokil & Tomoko Ota (ed.),  ACHI 2019, The Twelfth International Conference on Advances in Computer-Human Interactions.  International Academy, Research and Industry Association (IARIA).  ISBN 978-1-61208-686-6.  21.  s 141 - 146 Show summary
  • Jelisavcic, Milan; Glette, Kyrre; Haasdijk, Evert & Eiben, AE (2019). Lamarckian Evolution of Simulated Modular Robots. Frontiers in Robotics and AI.  ISSN 2296-9144.  6(9) . doi: 10.3389/frobt.2019.00009 Full text in Research Archive. Show summary
  • Said, Naina; Pogorelov, Konstantin; Ahmad, Kashif; Riegler, Michael; Ahmad, Nasir; Ostroukhova, Olga; Halvorsen, Pål & Conci, Nicola (2018). Deep learning approaches for flood classification and flood afermath detection. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283, s 1- 3
  • Valen-Sendstad, Kristian; Bergersen, Aslak Wigdahl; Shimogonya, Yuji; Goubergrits, Leonid; Bruening, Jan; Pallares, Jordi; Cito, Salvatore; Piskin, Senol; Pekkan, Kerem; Geers, Arjan J.; Larrabide, Ignacio; Rapaka, Saikiran; Mihalef, Viorel; Fu, Wenyu; Qiao, Aike; Jain, Kartik; Roller, Sabine; Mardal, Kent-Andre; Kamakoti, Ramji; Spirka, Thomas; Ashton, Neil; Revell, Alistair; Aristokleous, Nicolas; Houston, J. Graeme; Tsuji, Masanori; Ishida, Fujimaro; Menon, Prahlad G.; Browne, Leonard D.; Broderick, Stephen; Shojima, Masaaki; Koizumi, Satoshi; Barbour, Michael; Aliseda, Alberto; Morales, Hernan G.; Lefèvre, Thierry; Hodis, Simona; Al-Smadi, Yahia M.; Tran, Justin S.; Marsden, Alison L.; Vaippummadhom, Sreeja; Einstein, G. Albert; Brown, Alistair G.; Debus, Kristian; Niizuma, Kuniyasu; Rashad, Sherif; Sugiyama, Shin-ichiro; Khan, M. Owais; Updegrove, Adam R.; Shadden, Shawn C.; Cornelissen, Bart M.W.; Majoie, Charles B.L.M.; Berg, Philipp; Saalfield, Sylvia; Kono, Kenichi & Steinman, David A. (2018). Real-world variability in the prediction of intracranial aneurysm wall shear stress: The 2015 international aneurysm CFD challenge. Cardiovascular Engineering and Technology.  ISSN 1869-4098.  9(4), s 544- 564 . doi: 10.1007/s13239-018-00374-2
  • Murabito, Francesca; Spampinato, Concetto; Palazzo, Simone; Giordano, Daniela; Pogorelov, Konstantin & Riegler, Michael (2018). Top-down saliency detection driven by visual classification. Computer Vision and Image Understanding.  ISSN 1077-3142.  172, s 67- 76 . doi: 10.1016/j.cviu.2018.03.005
  • Hicks, Steven; Smedsrud, Pia; Halvorsen, Pål & Riegler, Michael (2018). Deep learning based disease detection using domain specific transfer learning. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283
  • Lux, Mathias; Riegler, Michael; Dang Nguyen, Duc Tien; Larson, Marcus; Potthast, Martin & Halvorsen, Pål (2018). GameStory task at MediaEval 2018. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283, s 1- 4
  • Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Hicks, Steven; Randel, Kristin Ranheim; Dang Nguyen, Duc Tien; Lux, Mathias; Ostroukhova, Olga & de Lange, Thomas (2018). Medico multimedia task at MediaEval 2018. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283, s 1- 4
  • Teatini, Andrea; Perez de Frutos, Javier; Langø, Thomas; Edwin, Bjørn & Elle, Ole Jacob (2018). Assessment and comparison of target registration accuracy in surgical instrument tracking technologies. IEEE Engineering in Medicine and Biology Society. Conference Proceedings.  ISSN 1557-170X.  40th, s 1845- 1848 . doi: 10.1109/EMBC.2018.8512671 Full text in Research Archive. Show summary
  • Lux, Mathias; Riegler, Michael; Dang Nguyen, Duc Tien; Larson, Marcus; Potthast, Martin & Halvorsen, Pål (2018). Team ORG @ GameStory task 2018. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283
  • Vajira, Lasantha Bandara Thambawita; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D. & Johansen, Dag (2018). The Medico-Task 2018: Disease detection in the gastrointestinal tract using global features and deep learning. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283
  • Kirkerød, Mathias; Vajira, Lasantha Bandara Thambawita; Riegler, Michael & Halvorsen, Pål (2018). Using preprocessing as a tool in medical image detection. CEUR Workshop Proceedings.  ISSN 1613-0073.  2283
  • Ionescu, Bogdan Emanuel; Müller, Henning; Villegas, Mauricio; García Seco de Herrera, Alba; Eickhoff, Carsten; Andrearczyk, Vincent; Dicente Cid, Yashin; Liauchuk, Vitali; Kovalev, Vassili; Hasan, Sadid A.; Ling, Yuan; Farri, Oladimeji; Liu, Joey; Lungren, Matthew; Dang-Nguyen, Duc-Tien; Piras, Luca; Riegler, Michael; Zhou, Liting; Lux, Mathias & Gurrin, Cathal (2018). Overview of imageCLEF 2018: Challenges, datasets and evaluation. Lecture Notes in Computer Science.  ISSN 0302-9743.  11018 LNCS, s 309- 334 . doi: 10.1007/978-3-319-98932-7_28
  • Brun, Henrik; Bugge, Robin Antony Birkeland; Suther, Lene Kathrine R; Birkeland, Sigurd; Kumar, Raj; Pelanis, Egidijus & Elle, Ole Jacob (2018). Mixed reality holograms for heart surgery planning: first user experience in congenital heart disease. European Heart Journal-Cardiovascular Imaging.  ISSN 2047-2404.  0, s 1- 6 . doi: 10.1093/ehjci/jey184 Show summary
  • Teatini, Andrea; Wang, Congcong; Palomar, Rafael; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Edwin, Bjørn & Elle, Ole Jacob (2018). Validation of stereo vision based liver surface reconstruction for image guided surgery, In Peter Nussbaum & Sony George (ed.),  2018 Colour and Visual Computing Symposium (CVCS); 19th and 20th September, 2018, Gjøvik, Norway.  IEEE.  ISBN 978-1-5386-5645-7.  KAPITTEL. Full text in Research Archive.
  • Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Qiaoqiao, Peng; Xue, Chuansong; Pogorelov, Konstantin; Riegler, Michael; Johansen, Dag; Griwodz, Carsten & Halvorsen, Pål (2018). Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming, In Dick Bulterman & Mohan Kankanhalli (ed.),  2018 IEEE International Symposium on Multimedia (ISM).  IEEE.  ISBN 978-1-5386-6857-3.  Conference paper.  s 81 - 88
  • Miseikis, Justinas; Knobelreiter, Patrick; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks, In  2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2018).  IEEE.  ISBN 9781538618554.  1.  s 181 - 187 Full text in Research Archive.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images, In  2018 15th International Conference on Ubiquitous Robots (UR 2018).  IEEE.  ISBN 9781538663356.  1.  s 597 - 603 Full text in Research Archive.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2018). Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network, In  2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR 2018).  IEEE.  ISBN 9781538655481.  1.  s 337 - 342 Full text in Research Archive.
  • Miras, Karine; Gansekoele, Arwin; Glette, Kyrre & Eiben, AE (2018). Insights in evolutionary exploration of robot morphology spaces, In Suresh Sundaram (ed.),  Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018).  IEEE.  ISBN 978-1-5386-9275-2.  1.  s 867 - 874 Full text in Research Archive.
  • Miras, Karine; Haasdijk, Evert; Glette, Kyrre & Eiben, AE (2018). Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors, In  The 2018 Conference on Artificial Life.  MIT Press.  ISBN 9780262355766.  1.  s 224 - 231 Full text in Research Archive. Show summary
  • Wang, Congcong; Sharma, Vivek; Fan, Yu; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob & Stiefelhagen, Rainer (2018). Can image enhancement be beneficial to find smoke images in laparoscopic surgery?. Final program and proceedings (Color and Imaging Conference).  ISSN 2166-9635.  2018-November, s 163- 168 . doi: 10.2352/ISSN.2169-2629.2018.26.163
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schüttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2018). Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V. Nature Communications.  ISSN 2041-1723.  9(1) . doi: 10.1038/s41467-018-07797-4 Full text in Research Archive.
  • Schulz, Trenton Wade; Herstad, Jo & Tørresen, Jim (2018). Classifying Human and Robot Movement at Home and Implementing Robot Movement Using the Slow In, Slow Out Animation Principle. International Journal on Advances in Intelligent Systems.  ISSN 1942-2679.  11(3&4), s 234- 244 Show summary
  • Watne, Åshild & Nymoen, Kristian (2018). Der æ so vent å vestoheio. Intonasjon i et gammelstev fra Setesdal.. Musikk og tradisjon.  ISSN 1892-0772.  32, s 7- 30 Show summary
  • Shin, Younghak; Qadir, Hemin Ali & Balasingham, Ilangko (2018). Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance. IEEE Access.  ISSN 2169-3536.  6, s 56007- 56017 . doi: 10.1109/ACCESS.2018.2872717
  • Majeed, Aaqib; Noori, Farzan Majeed; Zeeshan, A; Mehmood, T; Rehmand, SU & Khan, I (2018). Analysis of activation energy in magnetohydrodynamic flow with chemical reaction and second order momentum slip model. Case Studies in Thermal Engineering.  ISSN 2214-157X.  12, s 765- 773 . doi: 10.1016/j.csite.2018.10.007
  • Garcia, Rafael; Telea, Alexandru C; Castro da Silva, Bruno; Tørresen, Jim & Dihl Comba, Joao Luiz (2018). A task-and-technique centered survey on visual analytics for deep learning model engineering. Computers & graphics.  ISSN 0097-8493.  77, s 30- 49 . doi: 10.1016/j.cag.2018.09.018
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition, In  2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).  IEEE.  ISBN 978-1-5386-7033-0.  1.  s 1 - 6 Full text in Research Archive.
  • Hassan, Mohammed Mehedi; Huda, Shamsul; Uddin, Md Zia; Almogren, Ahmad & Alrubaian, Majed (2018). Human Activity Recognition from Body Sensor Data using Deep Learning. Journal of medical systems.  ISSN 0148-5598.  42(6), s 1- 8 . doi: 10.1007/s10916-018-0948-z
  • Hassan, Mohammed Mehedi; Uddin, Md Zia; Mohamed, Amr & Almogren, Ahmad (2018). A robust human activity recognition system using smartphone sensors and deep learning. Future generations computer systems.  ISSN 0167-739X.  81, s 307- 313 . doi: 10.1016/j.future.2017.11.029
  • Woll, Anita & Bratteteig, Tone (2018). A trajectory for technology-supported elderly care work. Computer Supported Cooperative Work (CSCW).  ISSN 0925-9724.  s 1- 42 . doi: 10.1007/s10606-018-9340-2
  • Garcia-Ceja, Enrique; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients, In Pablo Cesar; Michael Zink & Niall Murray (ed.),  MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5192-8.  conference article.  s 472 - 477
  • Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål & Riegler, Michael (2018). Opensea: open search based classification tool, In Pablo Cesar; Michael Zink & Niall Murray (ed.),  MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5192-8.  Artikkel nr.  s 363 - 368
  • Engebråten, Sondre Andreas; Glette, Kyrre & Yakimenko, Oleg (2018). Networking-enabling enhancement for a swarm of COTS Drones. IEEE International Conference on Control and Automation.  ISSN 1948-3449.  2018-June, s 562- 569 . doi: 10.1109/ICCA.2018.8444274
  • Buccino, Alessio Paolo; Lepperød, Mikkel Elle; Dragly, Svenn-Arne; Häfliger, Philipp; Fyhn, Marianne & Hafting, Torkel (2018). Open source modules for tracking animal behavior and closed-loop stimulation based on Open Ephys and Bonsai. Journal of Neural Engineering.  ISSN 1741-2560.  15, s 1- 12 . doi: 10.1088/1741-2552/aacf45 Full text in Research Archive.
  • Schulz, Trenton Wade & Soma, Rebekka (2018). The role of animacy for communicating behavior in robots, In Tone Bratteteig; Frode Eika Sandnes & Gerd Berget (ed.),  Proceedings of the 10th Nordic Conference on Human-Computer Interaction.  ACM Publications.  ISBN 9781450364379.  0.  s 676 - 680 Show summary
  • Engebråten, Sondre Andreas; Glette, Kyrre & Yakimenko, Oleg (2018). Field-Testing of High-Level Decentralized Controllers for a Multi-Function Drone Swarm. IEEE International Conference on Control and Automation.  ISSN 1948-3449.  2018-June, s 379- 386 . doi: 10.1109/ICCA.2018.8444354
  • Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Beghdadi, Azeddine & Elle, Ole Jacob (2018). Variational based smoke removal in laparoscopic images. Biomedical engineering online.  ISSN 1475-925X.  17:139, s 1- 10 . doi: 10.1186/s12938-018-0590-5 Full text in Research Archive.
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Nordgreen, Tine; Jakobsen, Petter; Ødegaard, Ketil Joachim & Tørresen, Jim (2018). Mental health monitoring with multimodal sensing and machine learning: A survey. Pervasive and Mobile Computing.  ISSN 1574-1192.  51, s 1- 26 . doi: 10.1016/j.pmcj.2018.09.003
  • Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir & Elle, Ole Jacob (2018). Liver surface reconstruction for image guided surgery. Progress in Biomedical Optics and Imaging.  ISSN 1605-7422.  1057:105762H6, s 1- 8 . doi: 10.1117/12.2297398 Full text in Research Archive.
  • Hicks, Steven; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; de Lange, Thomas; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada & Halvorsen, Pål (2018). Dissecting deep neural networks for better medical image classification and classification understanding. IEEE International Symposium on Computer-Based Medical Systems.  ISSN 2372-9198.  s 363- 368 . doi: 10.1109/CBMS.2018.00070 Full text in Research Archive.
  • Garcia Ceja, Enrique Alejandro; Uddin, Md Zia & Tørresen, Jim (2018). Classification of Recurrence Plots' Distance Matrices with a Convolutional Neural Network for Activity Recognition. Procedia Computer Science.  ISSN 1877-0509.  130, s 157- 163 . doi: 10.1016/j.procs.2018.04.025
  • Tørresen, Jim & Barone, Dante (2018). Improving Internationalization of Higher Education in Informatics : A Brazilian – Norwegian Experience, In Karl Gudmundsson (ed.),  Proceedings of the EAEEIE (European Association for Education in Electrical and Information Engineering).  IEEE conference proceedings.  ISBN 978-1-5386-7711-7.  Artikkel.
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2018). Activity Recognition Using Deep Recurrent Neural Network on Translation and Scale-Invariant Features, In  2018 25th IEEE International Conference on Image Processing (ICIP).  IEEE.  ISBN 978-1-4799-7061-2.  Paper ID: 2293.  s 475 - 479 Show summary

View all works in Cristin

  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2018). 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE.  ISBN 978-1-5386-7033-0.  700 s.

View all works in Cristin

  • 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.
  • Schulz, Trenton Wade; Holthaus, Patrick; Amirabdollahian, Farshid & Koay, Kheng Lee (2019). Humans’ Perception of a Robot Moving Using a Slow in and Slow Out Velocity Profile, In Jung H. Kim; Adriana Tapus; David Sirkin; Malte Jung & Sonya S. Kwak (ed.),  14th Annual ACM/IEEE International Conference on Human Robot Interaction – HRI’19.  IEEE.  ISBN 978-1-5386-8555-6.  Late-Breaking Presentations.  s 594 - 595 Show summary
  • Nymoen, Kristian (2019). Musikalske maskiner.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor. (Eng. Artificial Intelligence – who, what and where).
  • Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Glette, Kyrre & Nymoen, Kristian (2019). Self-playing Guitars. Show summary
  • Nygaard, Tønnes Frostad & Simon, Matt (2019, 01. august). The Clever Clumsiness of a Robot Teaching Itself to Walk. [Fagblad].  Wired Science.
  • Glette, Kyrre (2019). Kunstig intelligens for tilpasningsdyktige roboter.
  • Tørresen, Jim (2018). UiO Visit to UFRJ – An overview of research.
  • Tørresen, Jim (2018). Artificial Intelligence Applied for Real-World Systems.
  • Irgens, Morten; Lysne, Olav; Granmo, Ole-Christoffer & Tørresen, Jim (2018). Kunstig intelligens er en stor mulighet for Norge. Khrono.no.  ISSN 1894-8995.
  • Fuhrer, Julian Peter; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Animation of the RITMO Logo. Show summary
  • Fuhrer, Julian; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Animation of RITMO Logo.
  • Fuhrer, Julian; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Opening Animation. Show summary
  • Dang Nguyen, Duc Tien & Riegler, Michael (2018). GameStory Task at MediaEval 2018.
  • Nygaard, Tønnes Frostad (2018). DyRET: Dynamic Robot for Embodied Testing.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2018). Sensor Sequential Data Prediction. Show summary
  • Glette, Kyrre (2018). Robotics, Intelligent Systems and Evolutionary Computation.
  • Glette, Kyrre (2018). Automatic design of shapes and behaviors for robots.
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Evolving a Repertoire of Controllers for a Multi-Function Swarm.
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Towards a Multi-Function Swarm That Adapts to User Preferences.
  • Martin, Charles Patrick & Tørresen, Jim (2018). Predictive Musical Interaction with MDRNNs.
  • Schulz, Trenton Wade (2018). The MECS project and making robots move with animation techniques.
  • Ellefsen, Kai Olav & Tørresen, Jim (2018). Evolutionary Robotics: Automatic design of robot controllers and bodies.
  • Ellefsen, Kai Olav (2018). Evolusjonær Robotikk: Automatisk design og kontroll av roboter.
  • Søyseth, Vegard Dønnem; Nygaard, Tønnes Frostad; Martin, Charles Patrick; Uddin, Md Zia & Ellefsen, Kai Olav (2018). ROBIN-Stand ved Cutting Edge 2018.
  • Nymoen, Kristian (2018). Soundtracer - Et innblikk i innholdsbasert arkivsøk. Show summary
  • Nymoen, Kristian (2018). Music Information Retrieval.
  • Martin, Charles Patrick (2018). Creative Prediction with Neural Networks.
  • Wallace, Benedikte & Martin, Charles Patrick (2018). Predictive songwriting with concatenative accompaniment.
  • Tørresen, Jim (2018). Ethical Robots and Autonomous Systems.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Reinforcement Learning.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). Machine Learning and Reinforcement Learning in Brazil.
  • Castro da Silva, Bruno & Tørresen, Jim (2018). How to Write a Scientific Paper.
  • Tørresen, Jim; Garcia Ceja, Enrique Alejandro & Barone, Dante (2018). Special session on Computational Intelligence for Sensing and Predicting Human Mental and Medical State.
  • Tørresen, Jim & Laeng, Bruno (2018). UiO/ROBIN – Toyohashi University of Technology/Japan seminar. Show summary
  • Haugnes, Gunhild Merete; Tørresen, Jim; Thorstensen, Magnus; Lunsæter, Sivert Frang; Carlsen, Per Antoine; Wong, Key; Hosseinpoor, Sadegh; Camelo, Guilherme & Garcia, Rafael (2018, 19. juni). Internasjonalt samarbeid gir robotikk-løft. [Internett].  Titan.uio.no.
  • Tørresen, Jim; Prestes, Edson; Kurazume, Ryo & Khaksar, Weria (2018). Workshop on Elderly Care Workshop on Elderly Care – Technology and Technology (WELCARO).
  • Khaksar, Weria; Uddin, Md Zia; Schulz, Trenton Wade & Tørresen, Jim (2018). Introducing a Robotic Multimodal Elderly Care system (MECS).
  • Khaksar, Weria (2018). Learning from Virtual Experience - Mapless Navigation with Neuro-Fuzzy Intelligence.
  • Khaksar, Weria (2018). Incremental Adaptive Probabilistic Roadmaps for Mobile Robot Navigation under Uncertain Condition.
  • Khaksar, Weria (2018). Fuzzy Motion Planning for Nonholonomic Mobile Robot Navigation in Unknown Indoor Environments.
  • Khaksar, Weria (2018). Introduction to machine learning. Show summary
  • Tørresen, Jim & Garcia, Enrique (2018). Introducing Mental Health through Adaptive Technology via Sensor Data and Machine Learning: The INTROMAT project..
  • Tørresen, Jim (2018). Intelligent Systems for Medical and Healthcare Applications.
  • Tørresen, Jim (2018). Developing Robot Companions for Elderly.
  • Uddin, Md Zia (2018). ACTIVITY RECOGNITION USING DEEP RECURRENT NEURAL NETWORK ON TRANSLATION AND SCALE-INVARIANT FEATURES. Show summary
  • Tørresen, Jim; Schulz, Trenton Wade; Khaksar, Weria; Uddin, Md Zia & Søyseth, Vegard Dønnem (2018). Presentasjon av MECS prosjektet på Kampen Omsorg.

View all works in Cristin