François Schnitzler

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Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Louis WehenkelProfessor of Electrical Engineering and Computer Science, ULiège - University of LiègeVerified email at ulg.ac.be
Thomas LiebigTU DortmundVerified email at tu-dortmund.de
Avigdor GalTechnion -- Israel Institute of TechnologyVerified email at technion.ac.il
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Vana KalogerakiProfessor, Department of Informatics, Athens University of Economics and Business, AUEBVerified email at aueb.gr
Jakub MarečekCzech Technical University in PragueVerified email at fel.cvut.cz
Pierre GeurtsProfessor of Computer Science, University of Liège, BelgiumVerified email at ulg.ac.be
Nico PiatkowskiFraunhofer IAISVerified email at iais.fraunhofer.de
Ioannis BoutsisAthens University of Economics and BusinessVerified email at aueb.gr
Christian BockermannResearcher, TU Dortmund UniversityVerified email at udo.edu
Alexander ArtikisUniversity of Piraeus, NCSR DemokritosVerified email at iit.demokritos.gr
Arik SenderovichYork University (Toronto, Canada)Verified email at yorku.ca
Avishai MandelbaumProfesson of Service Engineering, Operations Research, StatisticsVerified email at technion.ac.il
Philippe LERAYProfesseur, Université de NantesVerified email at univ-nantes.fr
Ioannis KatakisUniversity of NicosiaVerified email at unic.ac.cy
Arnaud JolyAmazon researchVerified email at amazon.com
Sourour AmmarAssistant Professor at Digital Research Center of SfaxVerified email at crns.rnrt.tn

François Schnitzler

Senior Scientist, InterDigital

Verified email at interdigital.com - Homepage

machine learning reinforcement learning deep learning smart cities 5G


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Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. A Artikis, M Weidlich, F Schnitzler, I Boutsis, T Liebig, N Piatkowski, ... EDBT 14, 712-723, 2014	129	2014
Traveling time prediction in scheduled transportation with journey segments A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich Information Systems 64, 266-280, 2017	112	2017
L1-based compression of random forest models A Joly, F Schnitzler, P Geurts, L Wehenkel European Symposium on Artificial Neural Networks, Computational Intelligence …, 2012	34	2012
Off-policy model-based learning under unknown factored dynamics A Hallak, F Schnitzler, T Mann, S Mannor International Conference on Machine Learning, 711-719, 2015	29	2015
Heterogeneous Stream Processing for Disaster Detection and Alarming F Schnitzler, T Liebig, S Mannor, G Souto, S Bothe, H Stange IEEE International Conference on Big Data, 914-923, 2014	27	2014
Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. F Schnitzler, T Liebig, S Mannor, K Morik EDBT/ICDT Workshops, 373-374, 2014	22	2014
Heterogeneous stream processing and crowdsourcing for traffic monitoring: Highlights F Schnitzler, A Artikis, M Weidlich, I Boutsis, T Liebig, N Piatkowski, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014	20	2014
Power optimization for wireless autonomous transducer solutions V Pop, J van de Molengraft, F Schnitzler, J Penders, R van Schaijk, ... Proceedings of the PowerMEMS and MicroEMS Workshop, Sendai, Japan 9, 12, 2008	16	2008
Optimal sample selection for batch-mode reinforcement learning E Rachelson, F Schnitzler, L Wehenkel, D Ernst	14	2011
Sensor selection for crowdsensing dynamical systems F Schnitzler, JY Yu, S Mannor Artificial Intelligence and Statistics, 829-837, 2015	13	2015
Intelligent synthesis and real-time response using massive streaming of heterogeneous data (insight) and its anticipated effect on intelligent transport systems (its) in dublin … D Kinane, F Schnitzler, S Mannor, T Liebig, K Morik, J Marecek, B Gorman, ... ITS, Dresden, Germany, 2014	13	2014
A Survey on Deep Learning for Skeleton‐Based Human Animation L Mourot, L Hoyet, F Le Clerc, F Schnitzler, P Hellier Computer Graphics Forum 41 (1), 122-157, 2022	12	2022
Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm S Ammar, P Leray, F Schnitzler, L Wehenkel PGM 2010, 17-25, 2010	11	2010
Time-aware user identification with topic models C Lesaege, F Schnitzler, A Lambert, JR Vigouroux 2016 IEEE 16th International Conference on Data Mining (ICDM), 997-1002, 2016	8	2016
Towards sub-quadratic learning of probability density models in the form of mixtures of trees F Schnitzler, P Leray, L Wehenkel ESANN 2010, 219-224, 2010	6	2010
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks J Suárez-Varela, M Ferriol-Galmés, A López, P Almasan, G Bernárdez, ... ACM SIGCOMM Computer Communication Review 51 (3), 9-16, 2021	5	2021
Efficiently approximating Markov tree bagging for high-dimensional density estimation F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	5	2011
Insight: Dynamic traffic management using heterogeneous urban data N Panagiotou, N Zygouras, I Katakis, D Gunopulos, N Zacheilas, I Boutsis, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016	4	2016
Crowd sourcing, with a few answers: Recommending commuters for traffic updates E Daly, M Berlingerio, F Schnitzler Proceedings of the 9th ACM Conference on Recommender Systems, 253-256, 2015	4	2015
On predicting traveling times in scheduled transportation A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich MUD@ ICML, 2015	4	2015

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