| Electricity demand forecasting by multi-task learning JB Fiot, F Dinuzzo IEEE Transactions on Smart Grid 9 (2), 544-551, 2016 | 116 | 2016 |
| Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression JB Fiot, H Raguet, L Risser, LD Cohen, J Fripp, FX Vialard, ... NeuroImage: Clinical 4, 718-729, 2014 | 28 | 2014 |
| Efficient brain lesion segmentation using multi‐modality tissue‐based feature selection and support vector machines JB Fiot, LD Cohen, P Raniga, J Fripp International journal for numerical methods in biomedical engineering 29 (9 …, 2013 | 15 | 2013 |
| Generating Actionable Information from Customer-Related Data and Customer Labels CAA Perez, JBR Fiot, F Fusco, VPA Lonij US Patent App. 15/053,493, 2017 | 14 | 2017 |
| Local vs global descriptors of hippocampus shape evolution for Alzheimer’s longitudinal population analysis JB Fiot, L Risser, LD Cohen, J Fripp, FX Vialard Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data …, 2012 | 11 | 2012 |
| The captchacker project JB Fiot, R Paucher Ecole Centrale Paris, 2009 | 10 | 2009 |
| A scalable demand and renewable energy forecasting system for distribution grids VPA Lonij, JB Fiot, B Chen, F Fusco, P Pompey, Y Gkoufas, M Sinn, ... 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 7 | 2016 |
| Structured dimensionality reduction for additive model regression A Fawzi, JB Fiot, B Chen, M Sinn, P Frossard IEEE Transactions on knowledge and data engineering 28 (6), 1589-1601, 2016 | 7 | 2016 |
| Efficient lesion segmentation using support vector machines JB Fiot, LD Cohen, P Raniga, J Fripp Computational Vision and Medical Image Processing: VipIMAGE, 2011 | 6 | 2011 |
| Data Management System for Energy Analytics and its Application to Forecasting. F Fusco, U Fischer, VPA Lonij, P Pompey, JB Fiot, B Chen, Y Gkoufas, ... EDBT/ICDT Workshops, 2016 | 5 | 2016 |
| Enabling coupled models to predict the business impact of weather on electric utilities LA Treinish, JP Cipriani, A Praino, A Singhee, H Wang, M Sinn, V Lonij, ... IBM Journal of Research and Development 60 (1), 5: 1-5: 10, 2016 | 5 | 2016 |
| Cognitive Systems for the Food–Water–Energy Nexus VPA Lonij, JB Fiot Handbook of Statistics 35, 255-282, 2016 | 3 | 2016 |
| Combining imaging and clinical data in manifold learning: distance-based and graph-based extensions of Laplacian eigenmaps JB Fiot, J Fripp, LD Cohen 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 570-573, 2012 | 2 | 2012 |
| Multimodality Imaging Population Analysis using Manifold Learning JB Fiot, LD Cohen, P Bourgeat, P Raniga, O Acosta, V Villemagne, ... Computational Vision and Medical Image Processing: VipIMAGE 2011, 245, 2011 | 1 | 2011 |
| Real-time estimation of contributions from classes of energy generators in residual load signals B Chen, JR Fiot, VPA Lonij US Patent App. 18/193,096, 2023 | | 2023 |
| Real-time estimation of contributions from classes of energy generators in residual load signals B Chen, JR Fiot, VPA Lonij US Patent 11,631,978, 2023 | | 2023 |
| Real-time estimation of contributions from classes of energy generators in residual load signals B Chen, JR Fiot, VPA Lonij US Patent 10,998,729, 2021 | | 2021 |
| Real-time estimation of contributions from classes of energy generators in residual load signals B Chen, JR Fiot, VPA Lonij US Patent 10,256,633, 2019 | | 2019 |
| Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression H Raguet, JB Fiot, LD Cohen, L Risser, J Fripp HAL 2014, 2014 | | 2014 |
| Mathematical methods of image analysis for cross-sectional and longitudinal population studies JB Fiot Université Paris Dauphine-Paris IX, 2013 | | 2013 |
Jurgen FrippAustralian e-Health Research Centre CSIROVerified email at csiro.au
