Publications
Preprints
2021
D. Engin, Y. Avrithis, N.Q.K. Duong, F. Schnitzler, On the hidden treasure of dialog in video question answering, arXiv preprint arXiv:2103.14517
Publications
2021
T. Mayet, A. Lambert, P. Le guyadec, F. Le Bolzer, F. Schnitzler, SkipW: Resource Adaptable RNN with Strict Upper Computational Limit, The International Conference on Learning Representations (ICLR) 2021
2020
A. Lambert, F. Le Bolzer, F. Schnitzler, Flexible Recurrent Neural Networks, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020
2017
A. Gal, A. Mandelbaum, F. Schnitzler, A. Senderovich, and M. Weidlich, Traveling Time Prediction in Scheduled Transportation with Journey Segments, Information Systems (IS), 2017.
2016
C. Lesaege, F. Schnitzler, A. Lambert, J.-R. Vigouroux, Time-Aware User Identification with Topic Models, Proceedings of the 16th IEEE International Conference on Data Mining (ICDM 2016), 2016
N. Panagiotou, N. Zygouras I. Katakis, D. Gunopulos, N. Zacheilas, I. Boutsis, V. Kalogeraki, S. Lynch, B. O’Brien, D. Kinane, J. Marecek, J. Yuan Yu, R. Verago, E. Daly, N. Piatkowski, T. Liebig, C. Bockermann, K. Morik, M. Weidlich, F. Schnitzler, A. Gal, S. Mannor, H. Stange, W. Halft, G. Andrienko, INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data, Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016, demo track), p. 22-26, 2016.
N. Piatkowski, F. Schnitzler, Compressible Reparametrization of Time-Variant Linear Dynamical Systems, Solving Large Scale Learning Tasks. Challenges and Algorithms, p. 234-250, 2016.
2015
E. Daly, F. Schnitzler, M. Berlingerio, Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates, Proceedings of 9th ACM Conference on Recommender Systems (RecSys 2015) - short paper, 2 pages. Best short paper award
A. Gal, A. Mandelbaum, F. Schnitzler, A. Senderovich, M. Weidlich: On Predicting Traveling Times in Scheduled Transportation (Extended Abstract), Proceedings of the 2nd International Workshop on Mining Urban Data, p. 88-89, 2015.
A. Hallak, F. Schnitzler, T. Mann and S. Mannor, Off-policy Model-based Learning under Unknown Factored Dynamics, Proceedings of the 32nd International Conference on Machine Learning (ICML 2015), 9 pages.
H. Stange, S. Steenhoek, S. Bothe and F. Schnitzler, Insight-driven Crisis Information - Preparing for the Unexpected using Big Data, Proceedings of the ISCRAM 2015 Conference, (7 pages).
F. Schnitzler, J. Yuan Yu and S. Mannor, Sensor Selection for Crowdsensing Dynamical Systems, Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS), p. 829-837, 2015.
2014
F. Schnitzler, T. Liebig, S. Mannor, G. Souto, S. Bothe, and H. Stange, Heterogeneous Stream Processing for Disaster Detection and Alarming, IEEE International Conference on Big Data, p. 914-923, 2014.
F. Schnitzler, A. Artikis, M. Weidlich, I. Boutsis, T. Liebig, N. Piatkowski, C. Bockermann, K. Morik, V. Kalogeraki, J. Marcel, A. Gal, S. Mannor, D. Gunopulos and D. Kinane: Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights, Machine Learning and Knowledge Discovery in Databases - nectar track, p. 520-523, 2014.
F. Schnitzler, S. Mannor, Report on the Development of Online Analysis and Fusing Techniques for Sensor Data, Technical report, Insight project deliverable D4.1, 2014.
D. Kinane, F. Schnitzler, S. Mannor, T. Liebig, K. Morik, J. Marecek, B. Gorman, N. Zygouras, Y. Katakis, V. Kalogeraki, and D. Gunopulos, Intelligent Synthesis and Real-time Response using Massive Streaming of Heterogeneous Data (INSIGHT) and its anticipated effect on Intelligent Transport Systems (ITS) in Dublin City, Ireland, Proceedings of the 10th ITS European Congress, 2014.
F. Schnitzler, T. Liebig, S. Mannor, K. Morik: Combining a Gauss-Markov model and Gaussian Process for traffic prediction in Dublin city center, Mining Urban Data workshop, EDBT/ICDT Workshops, p. 373-374, 2014.
A. Artikis, M. Weidlich, F. Schnitzler, I. Boutsis, T. Liebig, N. Piatkowski, C. Bockermann, K. Morik, V. Kalogeraki, J. Marecek, A. Gal, S. Mannor, D. Gunopulos and D. Kinane: Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management, Proceedings of the 17th International Conference on Extending Database Technology, p. 712-723, 2014.
2013
F. Schnitzler, J.Y. Yu and S. Mannor: Towards Active Crowdsourcing for Smart Cities, The 11th European Workshop on Reinforcement Learning (EWRL 2013), 2013.
2012
F. Schnitzler, P. Geurts et L. Wehenkel: Mixtures of bagged Markov tree ensembles, Proceedings of the Sixth European Workshop on Probabilistic Graphical Models, p. 283-290, 2012.
F. Schnitzler, Mixtures of Tree-Structured Probabilistic Graphical Models for Density Estimation in High Dimensional Spaces, PhD thesis, University of Liège, 2012.
A. Joly, F. Schnitzler, P. Geurts et L. Wehenkel: L1-based compression of random forest models, Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, p. 375-380, 2012.
2011
F. Schnitzler, S. Ammar, P. Leray, P. Geurts et L. Wehenkel: Efficiently approximating Markov tree bagging for high-dimensional density estimation, Machine Learning and Knowledge Discovery in Databases, Part III, p. 113-128, 2011.
E. Rachelson, F. Schnitzler, L. Wehenkel et D. Ernst: Optimal sample selection for batch-mode reinforcement learning, Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, p. 41-50, 2011.
2010
F. Schnitzler, P. Leray et L. Wehenkel: Towards sub-quadratic learning of probability density models in the form of mixtures of trees, Proceedings of the 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, p. 219-224, 2010.
S. Ammar, P. Leray, F. Schnitzler et L. Wehenkel: Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models, p. 17-24, 2010.
2008
V. Pop, J. van de Molgenkraft, F. Schnitzler, J. Penders, R. van Schaijk et R. Vullers: Power optimization for wireless autonomous transducer solutions, The 8th International Workshop on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, p. 141-144, 2008.