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Sorry, this page is still under construction. Publications A Lightweight Network Proximity Service Based On Neighborhood Models Y. Liao, W. Du and G. Leduc Proc. of 22nd IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT), 24 Nov. 2015, Luxembourg, Luxembourg Rating Network Paths for Locality-Aware Overlay Construction and Routing W. Du, Y. Liao, N. Tao, P. Geurts, X. Fu and G. Leduc Keywords : matrix factorization, network inference, rating-based network measurement, recommender system IEEE/ACM Transactions on Networking, vol. 23, nb. 5, 2015, pp. 1661-1673 On the Potential of Recommendation Technologies for Efficient Content Delivery Networks S. Berkovsky and B. Donnet Keywords : CDN, Content Placement, Personalization, Recommendation Technologies Computer Communication Review, vol. 43, nb. 3, Jun. 2013, pp. 74-77 Outbound SPIT Filter with Optimal Performance Guarantees T. Jung, S. Martin, M. Nassar, D. Ernst and G. Leduc Read the abstract Computer Networks, vol. 57, nb. 7, Feb. 2013, pp. 1630-1643 DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction Y. Liao, W. Du, P. Geurts and G. Leduc Read the abstract IEEE/ACM Transactions on Networking, vol. 21, nb. 5, Oct. 2013, pp. 1511-1524 Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks T. Jung, S. Martin, D. Ernst and G. Leduc arXiv, nb. 1201.6181, 2012 Contextual Multi-armed Bandits for Web Server Defense T. Jung, S. Martin, D. Ernst and G. Leduc Read the abstract Proc. of the 2012 International Joint Conference on Neural Networks (IJCNN), 10-15 Jun. 2012, Brisbane, Australia, Hussein, Abbas (eds.), pp. 1-8, IEEE DISco: a Distributed Information Store for Network Challenges and Their Outcome S. Martin, L. Chiarello and G. Leduc Keywords : autonomic agents, distributed network management, peer-to-peer, resumenet Mots-clés : agents autonomiques, gestion distribuée, ResumeNet, systèmes pair-à-pair Read the abstract Lisez le résumé Proc. of DANMS 2012, 16-20 Apr. 2012, Maui, Hawaii Decentralized Prediction of End-to-End Network Performance Classes Y. Liao, W. Du, P. Geurts and G. Leduc Read the abstract Download the PDF document Proc. of The 7th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), 6-9 Dec. 2011, Tokyo, Japan, ACM Using Decision Trees for Generating Adaptive SPIT Signatures M. Nassar, S. Martin, G. Leduc and O. Festor Download the PDF document Proc. of 4th International Conference on Security of Information and Networks (SIN 2011), 14-19 Nov. 2011, Sydney, Australia Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning I. El Khayat, P. Geurts and G. Leduc Wireless Networks, vol. 16, nb. 2, Feb. 2010, pp. 273-290 (ISI IF 2008 = 1.194) Machine-learnt versus analytical models of TCP throughput I. El Khayat, P. Geurts and G. Leduc Keywords : machine learning, TCP, throughput models Download the PDF document Computer Networks, vol. 51, nb. 10, Jul. 2007, pp. 2631-2644 (ISI IF 2007 = 0.829) Performing and Making Use of Mobility Prediction J.-M. François PhD thesis, University of Liège Collection des Publications de la Faculté des Sciences Appliquées de l'Université de Liège, nr. 263, 2007, 154 pp. Download the PDF document Inferring Groups of Correlated Failures J. Lepropre and G. Leduc Keywords : clustering, failures, inference, SRLG Mots-clés : clustering, inférence, pannes, SRLG Read the abstract Download the PDF document Proc. of CoNext 2006, Student Workshop, 4-7 Dec. 2006, Lisbon, Portugal. Prédiction de mobilité par le mobile ou par le point d'accès: comparaison sur base de traces réelles J.-M. François and G. Leduc Keywords : Mobile Networks, Mobility prediction, QoS Mots-clés : Prédiction de mobilité, QoS, Réseaux mobiles Read the abstract Lisez le résumé Download the PDF document, the PostScript document or the compressed PostScript (gzip) document Actes de Colloque Francophone sur l'Ingénierie des Protocoles (CFIP 2006), 30 Oct.-3 Nov. 2006, Tozeur, Tunisie (Acceptance ratio = 28/75 = 37%) On the accuracy of analytical models of TCP throughput I. El Khayat, P. Geurts and G. Leduc Proc. of IFIP International Networking Conference, 15-19 May 2006, Coimbra, Portugal, LNCS, 3976, pp. 488-500 (Acceptance ratio = 88/440 = 20%, Best Paper Award) Entropy-based knowledge spreading and application to mobility prediction J.-M. François and G. Leduc Keywords : Entropy, Information Theory, Mobility Prediction, QoS Mots-clés : Entropie, prédiction de mobilité, QoS, théorie de l'Information Read the abstract Download the PDF document or the compressed PostScript (gzip) document Proc. of ACM International conference on Emerging Network Experiments and Technologies (Co-Next), 24-27 Oct. 2005, Toulouse, France, pp. 10-20, ACM Press (Acceptance ratio = 21/110 = 19%) Improving TCP in wireless networks with an adaptive machine-learnt classifier of packet loss causes I. El Khayat, P. Geurts and G. Leduc Keywords : Machine Learning, TCP, Wireless Mots-clés : Apprentissage automatique, Réseaux sans fil, TCP Read the abstract Download the PDF document Proc. of IFIP International Networking Conference, 2-6 May 2005, Waterloo, Ontario, Canada, R. Boutaba, K. Almeroth, R. Puigjaner, S. Shen, J. Black (eds.), Networking 2005, LNCS, 3462, pp. 549-560, Springer-Verlag (Acceptance ratio = 24%, ISI IF 2005 LNCS = 0.402) Mobility prediction's influence on QoS in wireless networks: a study on a call admission algorithm J.-M. François and G. Leduc Keywords : admission control, call blocking, mobility prediction Read the abstract Download the PDF document or the compressed PostScript (gzip) document Proc. of 3rd International Symposium on Modeling and Optimization in Mobile, Ad-hoc and Wireless Networks (WiOpt), 3-7 Apr. 2005, Trentino, Italy, Ravi R. Mazumdar, Ioannis Stavrakakis (eds.), pp. 238-247, IEEE press (Acceptance ratio = 31 %) Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning I. El Khayat, P. Geurts and G. Leduc Keywords : loss cause classification, machine learning, TCP, wireless links Read the abstract Download the PDF document Technical Report, March 2004 A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks P. Geurts, I. El Khayat and G. Leduc Read the abstract Download the PostScript document Proc. of The Fourth IEEE International Conference on Data Mining (ICDM 2004), 1-4 Nov. 2004, Brighton, UK, R. Rastogi, K. Morik, M. Bramer et X. Wu (eds.), pp. 383-386, IEEE Press Learning movement patterns in mobile networks: a generic approach J.-M. François, G. Leduc and S. Martin Keywords : Hidden Markov Model, Mobility prediction Read the abstract Download the PDF document or the compressed PostScript (gzip) document Proc. of European Wireless 2004, 24-27 Feb. 2004, Barcelona, Spain, pp. 128-134 Smoothing the TCP rate by learning the delay versus window size dependency I. El Khayat and G. Leduc Keywords : real-time streaming application, reinforcement learning, smoothing TCP rate, smoothness, TCP-Friendly Read the abstract Download the PDF document Proc. of International Workshop on Multimedia Interactive Protocols and Systems, MIPS 2003, 18-21 Nov. 2003, Napoli, Italy, G. Ventre, R. Canonico (eds.), Interactive Multimedia on Next Generation Networks, LNCS, 2899, pp. 78-90, Springer-Verlag (ISI IF 2002 LNCS = 0.515) Evaluation d'une méthode de prédiction des déplacements de terminaux dans les réseaux mobiles J.-M. François, G. Leduc and S. Martin Keywords : Hidden Markov Model, Mobility prediction Mots-clés : Modèle de Markov caché, Prédiction de mobilité Lisez le résumé Download the PDF document or the compressed PostScript (gzip) document Actes de Colloque Francophone sur l'Ingénierie des protocoles (CFIP'2003), 7-10 Oct. 2003, Paris, France, A. Cavalli, M. Riguidel, A. Serhrouchni (eds.), Ingénierie des protocoles - Réseaux mobiles et ad hoc, qualité de service, test et validation, ingénierie du trafic, pp. 189-202, Hermès Lavoisier

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