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Publications

Found 321 results
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Book Chapter
Anon.
Meyer PE, Bontempi G. Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data.
Miranda AA, Caelen O, Bontempi G. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques.
Haibe-Kains B, Desmedt C, Loi S, Delorenzi M, Sotiriou C, Bontempi G. Computational Intelligence in Clinical Oncology : Lessons Learned from an Analysis of a Clinical Study. In: Applications of Computational Intelligence in Biology. Vol. 122. Applications of Computational Intelligence in Biology. ; 2008. p. 237-268.
Olsen C, Haibe-Kains B, Quackenbush J, Bontempi G. On the Integration of Prior Knowledge in the Inference of Regulatory Networks.
Claeskens G, Jansen M. International Encyclopedia of the Social & Behavioral Sciences. In: D. Wright J Vol. 15. 2nd ed. ; 2015. p. 647-652.
Lerman L, Medeiros SF, Bontempi G, Markowitch O. A Machine Learning Approach Against a Masked AES. In: Francillon A, Rohatgi P Smart Card Research and Advanced Applications. Smart Card Research and Advanced Applications. ; p. 61-75.
Bontempi G, Ben Taieb S, Le Borgne Y. Machine Learning Strategies for Time Series Forecasting.
Hautphenne S, Guy Latouche, Nguyen GT. Markovian trees subject to catastrophes: Would they survive forever?. In: Guy Latouche, Ramaswami V, Sethuraman J, Sigman K, Squillante MS, Yao DD Matrix-Analytic Methods in Stochastic Models. Vol. 27. Matrix-Analytic Methods in Stochastic Models. ; 2013. p. 87–106.
Jansen M. Multiscale local polynomial models for estimation and testing. In: Akritas M, Lahiri S  N, Politis D Topics in NonParametric Statistics. Topics in NonParametric Statistics. ; 2013. p. To Appear.
Jansen M. Multiscale local polynomial models for estimation and testing. In: Akritas M, Lahiri S  N, Politis D Topics in NonParametric Statistics. Vol. 74. Topics in NonParametric Statistics. ; 2014. p. 155-166.
Lopes M, Bontempi G. On the Null Distribution of the Precision and Recall Curve. In: Machine Learning and Knowledge Discovery in Databases. Vol. 8725. Machine Learning and Knowledge Discovery in Databases. ; 2014. p. 322-337.
Le Borgne Y, Bontempi G. Prediction-based data collection in wireless sensor networks.
Le Borgne Y, Dricot JM, Bontempi G. Principal Component Aggregation for Energy-efficient Information Extraction in Wireless Sensor Networks.
Le Borgne Y, Dricot JM, Bontempi G. Principal Component Aggregation for Energy-efficient Information Extraction in Wireless Sensor Networks.
Dal Pozzolo A, Caelen O, Waterschoot S, Bontempi G. Racing for unbalanced methods selection.
Lerman L, Bontempi G, Markowitch O. Side channel attack: an approach based on machine learning.
Dricot JM, Bontempi G, Doncker PD. Static and dynamic localization techniques for wireless sensor networks. In: Ferrari G Sensor Networks: Where Theory Meets Practice. Sensor Networks: Where Theory Meets Practice. ; 2010. p. .
Lerman L, Bontempi G, Ben Taieb S, Markowitch O. A Time Series Approach for Profiling Attack. In: Gierlichs B, Guilley S, Mukhopadhyay D Security, Privacy, and Applied Cryptography Engineering. Vol. 8204. Security, Privacy, and Applied Cryptography Engineering. ; 2013. p. 75-94.
Guy Latouche, Nguyen GT, Palmowski Z. Two-dimensional fluid queues with temporary assistance. In: Guy Latouche, Ramaswami V, Sethuraman J, Sigman K, Squillante MS, Yao DD Matrix-Analytic Methods in Stochastic Models. Vol. 27. Matrix-Analytic Methods in Stochastic Models. ; 2013. p. 187–207.
Bontempi G, Caelen O, Goffaux C. On the use of supervised learning techniques to speed up the design of aeronautics components.

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