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Our latest publications - ROBIN

  • 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.
  • Griwodz, Carsten; Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Qiaoqiao, Peng; Xue, Chuansong; Pogorelov, Konstantin; Riegler, Michael; Johansen, Dag & 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
  • 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
  • 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
  • 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
  • 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 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.  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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Uddin, Md Zia (2018). A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system. Journal of Parallel and Distributed Computing.  ISSN 0743-7315.  123, s 46- 53 . doi: 10.1016/j.jpdc.2018.08.010
  • Iwashita, Yumi; Stoica, Adrian; Nakashima, Kazuto; Kurazume, Ryo & Tørresen, Jim (2018). Virtual Sensors Determined Through Machine Learning, In Patrick Benavidez (ed.),  Proceedings of 2018 World Automation Congress.  IEEE conference proceedings.  ISBN 978-1-5323-7791-4.  Artikkel.  s 318 - 321
  • Pogorelov, Konstantin; Ostroukhova, Olga; Jeppsson, Mattis; Espeland, Håvard; Griwodz, Carsten; de Lange, Thomas; Johansen, Dag; Riegler, Michael & Halvorsen, Pål (2018). Deep learning and hand-crafted feature based approaches for polyp detection in medical videos. IEEE International Symposium on Computer-Based Medical Systems.  ISSN 2372-9198.  s 381- 386 . doi: 10.1109/CBMS.2018.00073 Full text in Research Archive.
  • Tørresen, Jim (2018). A Review of Future and Ethical Perspectives of Robotics and AI. Frontiers in Robotics and AI.  ISSN 2296-9144.  4 . doi: https://doi.org/10.3389/frobt.2017.00075
  • Uddin, Md Zia; Khaksar, Weria & Tørresen, Jim (2018). Ambient Sensors for Elderly Care and Independent Living: A Survey. Sensors.  ISSN 1424-8220.  18(7) . doi: 10.3390/s18072027 Show summary
  • Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav & Glette, Kyrre (2018). Dynamic mutation in MAP-Elites for robotic repertoire generation, In  The 2018 Conference on Artificial Life.  MIT Press.  ISBN 9780262355766.  Konferanseartikkel.  s 598 - 605
  • Garcia Ceja, Enrique Alejandro; Riegler, Michael; Jakobsen, Petter; Tørresen, Jim; Nordgreen, Tine; Ødegaard, Ketil Joachim & Fasmer, Ole Bernt (2018). Motor activity based classification of depression in unipolar and bipolar patients. IEEE International Symposium on Computer-Based Medical Systems.  ISSN 2372-9198.  s 316- 321 . doi: 10.1109/CBMS.2018.00062

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  • 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.

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  • Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata & Glette, Kyrre (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.
  • 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.
  • Martin, Charles Patrick; Lesteberg, Mari; Jawad, Karolina; Aandahl, Eigil; Xambó, Anna & Jensenius, Alexander Refsum (2018). Stillness under Tension.
  • Martin, Charles Patrick; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Erdem, Cagri & Jensenius, Alexander Refsum (2018). Stillness under Tension.
  • Uddin, Md Zia & Tørresen, Jim (2018). A Deep Learning-Based Human Activity Recognition in Darkness. Show summary
  • Brustad, Henrik & Martin, Charles Patrick (2018). Digital Audio Generation with Neural Networks.
  • Vissgren, Julie & Tørresen, Jim (2018). Kunstig Intelligens. Innovasjonsmagasinet.  ISSN 1894-9835.  s 70- 71
  • Fjeld, Matias Hermanrud & Tørresen, Jim (2018). 3D Spatial Navigation in Octrees with Reinforcement Learning.
  • Tørresen, Jim; Schulz, Trenton Wade; Uddin, Md Zia; Khaksar, Weria & Prestes, Edson (2018). Robot Companions for Older People – Ethical Concerns.
  • Tørresen, Jim (2018). Når etikk betyr alt. Dagens næringsliv.  ISSN 0803-9372.
  • Tørresen, Jim; Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav & Martin, Charles Patrick (2018). Equipping Systems with Forecasting Capabilities.
  • Schulz, Trenton Wade (2018). Making Robots Move Using Animation Techniques.
  • London, Justin; Danielsen, Anne & Nymoen, Kristian (2018). Where is the beat in that note? Effects of attack, frequency, and duration on the p-centers of musical and quasi-musical sounds.
  • Martin, Charles Patrick (2018). Deep Predictive Models in Interactive Music.
  • Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes Frostad & Tørresen, Jim (2018). Self-Awareness in a Cyber-Physical Predictive Musical Interface. Show summary
  • Moen, Hans Jonas Fossum; Glette, Kyrre; Nygaard, Tønnes Frostad & Johnsrud, Mette (2018, 24. april). Fem felt der vi får en førerløs fremtid. [Internett].  Titan.uio.no.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2018). Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. Show summary
  • Glette, Kyrre (2018). Automatic design of bodies and behaviors for real-world robots.
  • Nygaard, Tønnes Frostad; Søyseth, Vegard Dønnem; Nordmoen, Jørgen Halvorsen & Glette, Kyrre (2018). Stand with the DyRET robot.
  • Nygaard, Tønnes Frostad (2018). Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations.
  • Tørresen, Jim; Teigen, Bjørn Ivar & Ellefsen, Kai Olav (2018). An Active Learning Perspective on Exploration in Reinforcement Learning.
  • Martin, Charles Patrick (2018). MicroJam. Show summary

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