- Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, and Gianluca Bontempi. Transfer learning for credit card fraud detection: A journey from research to production. In Proceedings of the Data Science and Advanced Analytics (DSAA 2021), 2021.
- Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, and Gianluca Bontempi. Deep-learning domain adaptation techniques for credit cards fraud detection. In Luca Oneto, Nicolò Navarin, Alessandro Sperduti, and Davide Anguita, editors, Recent Advances in Big Data and Deep Learning, pages 78–88, Cham, 2019. Springer International Publishing.
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G. Buroni, Y. Le Borgne, G. Bontempi, and K. Determe. On-board-unit data: A big data platform for scalable storage and processing. In 2018 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech), pages 1–5, Nov 2018.
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G. Buroni, Y. Le Borgne, G. Bontempi, and K. Determe. Cluster analysis of On-Board-Unit truck big data from the brussels capital region. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pages 2074–2079, Nov 2018.
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Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, and Gianluca Bontempi. A multivariate and multi-step ahead machine learning approach to traditional and cryptocurrencies volatility forecasting. In ECML PKDD 2018 Workshops, pages 7–22, Cham, 2018. Springer International Publishing.
- G. Bontempi, Y. Le Borgne and J. De Stefani. A dynamic factor machine learning method for multi-variate and multi-step-ahead forecasting. In Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics 2017, October 2017.
- F. Carcillo, Y. Le Borgne, O. Caelen, and G. Bontempi. An assessment of streaming active learning strategies for real-life credit card fraud detection. In Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics 2017, October 2017.
- Y. Le Borgne, A. Homolova, and G. Bontempi. OpenTed browser: Insights into european public spendings. In Proceedings of the European Conference on Machine Learning - SoGood workshop, September 2016.
- G. Bontempi and Y. Le Borgne. Predictive modeling in a big data distributed setting: a scalable bias correction approach. In Proceedings of the IEEE International Congress on Big Data, July 2016.
- C. Reggiani, Y. Le Borgne, A. Dal Pozzolo, C. Olsen, and G. Bontempi. Minimum redundancy maximum relevance: Mapreduce implementation using apache hadoop. In Proceedings of the 23rd Belgian Dutch Conference on Machine Learning (BENELEARN 2014), June 2014.
- O. León, M.P. Cuellar, M. Delgado, Y. Le Borgne, and G. Bontempi. Human activity recognition framework in monitored environments. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), March 2014.
- M.P. Cuellar, Y. Le Borgne, N. Galiano-Castillo, M. Arroyo, M.C. Pegalajar, Mara J. Martin- Bautista, and G. Bontempi. PRESENS: Towards smart rehabilitation with proactive sensing for remote and automatic medical evaluation. In Proceedings of the 7th International Conference on Information Systems (IADIS 2014), February 2014.
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M.P. Cuellar, Y. Le Borgne, N. Galiano-Castillo, M. Arroyo, M.C. Pegalajar, Mara J. Martin- Bautista, and G. Bontempi. An approach for automatic evaluation of diagnosis exercises in physical therapy using depth sensors. In Proceedings of the 1st Symposium on Serious Gaming technologies, February 2014.
- S. Van Sint Jan, B. Bonnechère, M. Foé, B. Jansen, Y. Le Borgne, F. Moiseev, L. Omelina, P.Salvia, V. Sholukha, and S. Vansummeren. The ICT4Rehab project - a fully-integrated ICT platform for patient rehabilitation including clinical database, body tracking, serious gaming and data mining. In Proceedings of the 1st Symposium on Serious Gaming technologies, February 2014.
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Y. Le Borgne, G. Bontempi, B. Bonnechère, P. Salvia, M. Degelaen, and S. Van Sint Jan. Data mining toolbox for gait analysis in children with cerebral palsy. In Proceedings of the XXIV Congress of the International Society of Biomechanics - ISB 2013, August 2013.
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Y. Le Borgne, B. Bonnechère, P. Salvia, S. Van Sint Jan, and G. Bontempi. Data Mining Tools for Gait Analysis of Cerebral Palsy Children (ICT4Rehab). In SOFAMEA 2013, January 2013.
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S. Van Sint Jan, B. De Bono, V. Sholukha, F. Moiseev, S. Vansummeren, Y. Le Borgne, G. Bontempi, B. Bonnechère, and M. Rooze. Seedep2 : Integrated modelling of the musculoskeletal system. In Virtual Physiological Human International Conference (VPH 2012), September 2012.
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S. Van Sint Jan, G. Bontempi, and S. Van Summeren. Making the links between rehabilitation and musculoskeletal modelling: requirements and tools. In European College of Sport Science (ECSS 2012), September 2012.
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Y. Le Borgne and G. Bontempi. Time series prediction for energy- efficient wireless sensors : Applications to environmental monitoring and video games. In Third International Conference on Sensor Systems and Software (S-Cube 2012), June 2012.
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M. Mihaylov, Y. Le Borgne, K. Tuyls, and A. Nowé. Decentralized (de)synchronization in wireless sensor networks. In Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011), Gent, Belgium, November 2011.
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M. Devillé, Y. Le Borgne, and A. Nowé. Reinforcement learning for energy efficient routing in wireless sensor networks. In Proceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011), Gent, Belgium, November 2011.
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Y. Le Borgne and A. Campo. Open review in computer science. Elsevier grand challenge on executable papers. In International Conference on Computational Science (ICCS 2011), Procedia Computer Science, volume 4, pages 778–780, May 2011.
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M. Mihaylov, Y. Le Borgne, K. Tuyls, and A. Nowé. Self-organizing synchronicity and desynchronicity using reinforcement learning. In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), pages 94–103, Rome, Italy, January 2011.
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M. Mihaylov, Y. Le Borgne, K. Tuyls, and A. Nowé. Distributed cooperation in wireless sensor networks. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), pages 249 – 256, May 2011.
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M. Mihaylov, Y. Le Borgne, K. Tuyls, and A. Nowé. DESYDE: Decentralized (de)synchronization in wireless sensor networks. In Proceedings of the 20th Annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2011), pages 109–110, The Hague, The Netherlands, 2011.
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Mihaylov M., Le Borgne Y., Nowe A., and Tuyls K., "Decentralized Reinforcement Learning for Wake-up Scheduling", 7th European conference on wireless sensor networks (EWSN 2010), pp.49 - 51, 2010.
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Le Borgne Y., Nowe A., Steenhaut K., and Bontempi G., "Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition", 9th International Conference on Information Processing in Sensor Networks, issue April 12, 2010 Stockholm, Sweden, pp.430 - 431, eds. Tarek Abdelzaher, Thiemo Voigt, Adam Wolisz, published by ACM, 2010.
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Abughalieh N., Le Borgne Y., Steenhaut K., and Nowé A., "Lifetime Optimization for Wireless Sensor Networks with Correlated Data Gathering", 8th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp.252 - 258, eds. Eitan Altman, Tamer Basar, Imrich Chlamtac, 2010.
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Le Borgne Y., Nowe A., Abughalieh N., and Steenhaut K., "Distributed regression for high-level feature extraction in wireless sensor networks", 7th International Conference on Networked Sensing Systems, pp.249 - 252, eds. Hartmut Hillmer, Masateru Minami, published by IEEE, 2010.
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J. M. Dricot, M. Van Der Haegen, Y. Le Borgne and G. Bontempi. A Modular Framework for User Localization and Tracking Using Machine Learning Techniques in Wireless Sensor Networks. Accepted at the 8th IEEE Conference on Sensors, October 2008.
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J. M. Dricot, M. Van Der Haegen, Y. Le Borgne and G. Bontempi. Performance Evaluation of Machine Learning Technique for the Localization of Users in Wireless Sensor Networks. In L. Wehenkel and P. Geurts and R. Marée, Editors, Proceedings of the BENELEARN Machine Learning Conference, pages 93-94. 2008.
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Y. Le Borgne and G. Bontempi. Unsupervised and Supervised Compression
with Principal Component Analysis in Wireless Sensor Networks. Proceedings
of the Workshop on Knowledge Discovery from Data, 13th ACM International
Conference on Knowledge Discovery and Data Mining, pages 94-103.
ACM Press, New York, NY, 2007.
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Y. Le Borgne, M. Moussaid, and G. Bontempi. Simulation architecture
for data processing algorithms in wireless sensor networks. Proceedings
of the 20th Conference on Advanced Information Networking and Applications
(AINA), pages 383–387. IEEE Press, Piscataway, NJ, 2006.
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Y. Le Borgne, G. Bontempi. Round Robin Cycle for Predictions in
Wireless Sensor Networks. Proceedings of the 2nd International
Conference on Intelligent Sensors, Sensor Networks and Information
Processing (ISSNIP), pages 253-258. IEEE Press, Piscataway, NJ,
2005.
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G. Bontempi, Y. Le Borgne. An adaptive modular approach to the mining
of sensor network data. Proceedings of the workshop on Data Mining
in Sensor Networks. SIAM SDM, pages 3-9. SIAM Press, Philadelphia,
PA, 2005.
Yann-Aël Le Borgne