François Schnitzler
François Schnitzler
Senior Scientist, InterDigital
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Citata da
Citata da
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
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
L1-based compression of random forest models
A Joly, F Schnitzler, P Geurts, L Wehenkel
20th European symposium on artificial neural networks, 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
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
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
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
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
Sensor selection for crowdsensing dynamical systems
F Schnitzler, JY Yu, S Mannor
Artificial Intelligence and Statistics, 829-837, 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
Optimal sample selection for batch-mode reinforcement learning
E Rachelson, F Schnitzler, L Wehenkel, D Ernst
Proceedings of the 3rd International Conference on Agents and Artificial …, 2011
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
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
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
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
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
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
On predicting traveling times in scheduled transportation
A Gal, A Mandelbaum, F Schnitzler, A Senderovich, M Weidlich
MUD@ ICML, 2015
Insight-driven Crisis Information-Preparing for the Unexpected using Big Data.
H Stange, S Steenhoek, S Bothe, F Schnitzler
ISCRAM, 2015
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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