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Books and Theses
- 2013
[b1]Jean-Baptiste Fiot:
Mathematical methods of image analysis for cross-sectional and longitudinal population studies. (Méthodes mathématiques d'analyse d'image pour les études de population transversales et longitudinales.). Paris Dauphine University, France, 2013
Journal Articles
- 2018
- [j3]Jean-Baptiste Fiot
, Francesco Dinuzzo:
Electricity Demand Forecasting by Multi-Task Learning. IEEE Trans. Smart Grid 9(2): 544-551 (2018) - 2016
- [j2]Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen:
Enabling coupled models to predict the business impact of weather on electric utilities. IBM J. Res. Dev. 60(1) (2016) - [j1]Alhussein Fawzi, Jean-Baptiste Fiot, Bei Chen, Mathieu Sinn, Pascal Frossard:
Structured Dimensionality Reduction for Additive Model Regression. IEEE Trans. Knowl. Data Eng. 28(6): 1589-1601 (2016)
Conference and Workshop Papers
- 2016
- [c3]Francesco Fusco, Ulrike Fischer, Vincent P. A. Lonij, Pascal Pompey, Jean-Baptiste Fiot, Bei Chen, Yiannis Gkoufas, Mathieu Sinn:
Data Management System for Energy Analytics and its Application to Forecasting. EDBT/ICDT Workshops 2016 - 2012
- [c2]Jean-Baptiste Fiot, Jurgen Fripp, Laurent D. Cohen:
Combining imaging and clinical data in manifold learning: Distance-based and graph-based extensions of Laplacian Eigenmaps. ISBI 2012: 570-573 - [c1]Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard:
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. STIA 2012: 13-24
Informal and Other Publications
- 2015
- [i1]Jean-Baptiste Fiot, Francesco Dinuzzo:
Electricity Demand Forecasting by Multi-Task Learning. CoRR abs/1512.08178 (2015)
Coauthor Index
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