Laboratoire de Recherche en Informatique

• 
  Guy Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, Niko Michiels, et al.. Open-ended On-board Evolutionary Robotics for Robot Swarms. CEC 2009 - IEEE Congress on Evolutionary Computation, May 2009, Trondheim, Norway. ⟨inria-00413274⟩
• 
  Serge Kernbach, Heiko Hamann, Juergen Stradtner, Ronald Thenius, Thomas Schmickl, et al.. On adaptive self-organization in artificial robot organisms. ADAPTIVE 2009 - The First International Conference on Adaptive and Self-adaptive Systems and Applications, Nov 2009, Athens, Greece. ⟨10.1109/ComputationWorld.2009.9⟩. ⟨inria-00413281⟩
• 
  Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, et al.. The Tracking Machine Learning challenge : Throughput phase. Computing and Software for Big Science, Springer, In press. ⟨hal-03159824v2⟩
• 
  Adrian Pol, Cécile Germain, Maurizio Pierini, Gianluca Carminara. Data Quality Monitoring Anomaly Detection. Artificial Intelligence for High Energy Physics, In press, ⟨10.1142/12200⟩. ⟨hal-03159873⟩
• 
  Sergio Escalera, Hugo Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, et al.. Guest Editorial: Image and Video Inpainting and Denoising. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (5), pp.1021-1024. ⟨10.1109/TPAMI.2020.2971291⟩. ⟨hal-03159859⟩
• 
  Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Julio Jacques, et al.. Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Competition and Demonstration Track, Dec 2020, Virtual, United States. pp.242-252. ⟨hal-03159795⟩
• 
  Hugo Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel Silver, Evelyne Viegas, et al.. AutoML @ NeurIPS 2018 challenge: Design and Results. Escalera, Sergio and Herbrich, Ralf. The NeurIPS '18 Competition, Springer Verlag, pp.209--229, 2020, 978-3-030-29135-8. ⟨hal-03159764⟩
• 
  Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, et al.. Learning to run a power network challenge for training topology controllers. Electric Power Systems Research, Elsevier, 2020, 189, pp.106635. ⟨10.1016/j.epsr.2020.106635⟩. ⟨hal-03159692⟩
• 
  Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John Erickson, et al.. Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS 2020 - International Conference on Business Information Systems, Jun 2020, Colorado Springs, United States. pp.324-335. ⟨hal-03158556⟩
• 
  Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin Bennett. Medical Time-Series Data Generation using Generative Adversarial Networks. AIME 2020 - International Conference on Artificial Intelligence in Medicine, Aug 2020, Minneapolis, United States. pp.382-391. ⟨hal-03158549⟩

686

176