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ORCIDÉlisa Fromont
Elisa Fromont
2020 – today
- 2025
[i21]Yasmine Hachani, Patrick Bouthemy, Elisa Fromont, Sylvie Ruffini, Ludivine Laffont, Alline de Paula Reis:
Early prediction of the transferability of bovine embryos from videomicroscopy. CoRR abs/2501.07945 (2025)- [i20]Yasmine Hachani, Patrick Bouthemy, Elisa Fromont, Sylvie Ruffini, Ludivine Laffont, Alline de Paula Reis:
Supervised contrastive learning for cell stage classification of animal embryos. CoRR abs/2502.07360 (2025) - 2024
- [j15]Tristan Allard, Hira Asghar, Gildas Avoine, Christophe Bobineau, Pierre Cauchois, Elisa Fromont, Anna Monreale, Francesca Naretto, Roberto Pellungrini, Francesca Pratesi, Marie-Christine Rousset, Antonin Voyez:
Analyzing and explaining privacy risks on time series data: ongoing work and challenges. SIGKDD Explor. 26(1): 49-58 (2024) - [c52]Abderaouf Nassim Amalou
, Elisa Fromont, Isabelle Puaut:
Fast and Accurate Context-Aware Basic Block Timing Prediction using Transformers. CC 2024: 227-237 - [i19]Elodie Germani, Elisa Fromont, Camille Maumet:
Mitigating analytical variability in fMRI results with style transfer. CoRR abs/2404.03703 (2024) - [i18]G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont, Tanguy Urvoy:
Under the Hood of Tabular Data Generation Models: the Strong Impact of Hyperparameter Tuning. CoRR abs/2406.12945 (2024) - [i17]G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont, Tanguy Urvoy:
Cross-table Synthetic Tabular Data Detection. CoRR abs/2412.13227 (2024) - 2023
- [c51]Abderaouf N. Amalou, Elisa Fromont, Isabelle Puaut:
CAWET: Context-Aware Worst-Case Execution Time Estimation Using Transformers. ECRTS 2023: 7:1-7:20 - [c50]Simon Corbillé, Éric Anquetil, Élisa Fromont:
Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online Knowledge. ICDAR (4) 2023: 236-252 - [c49]Samuel Felton, Elisa Fromont, Éric Marchand:
Deep metric learning for visual servoing: when pose and image meet in latent space. ICRA 2023: 741-747 - [i16]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
LCE: An Augmented Combination of Bagging and Boosting in Python. CoRR abs/2308.07250 (2023) - [i15]Elodie Germani, Elisa Fromont, Camille Maumet:
Uncovering communities of pipelines in the task-fMRI analytical space. CoRR abs/2312.06231 (2023) - 2022
- [j14]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
XEM: An explainable-by-design ensemble method for multivariate time series classification. Data Min. Knowl. Discov. 36(3): 917-957 (2022) - [j13]Omar Krichen, Simon Corbillé, Éric Anquetil, Nathalie Girard, Élisa Fromont, Pauline Nerdeux:
Combination of explicit segmentation with Seq2Seq recognition for fine analysis of children handwriting. Int. J. Document Anal. Recognit. 25(4): 339-350 (2022) - [j12]Samuel Felton, Pascal Brault, Élisa Fromont, Éric Marchand:
Visual Servoing in Autoencoder Latent Space. IEEE Robotics Autom. Lett. 7(2): 3234-3241 (2022) - [j11]Sihem Amer-Yahia, Angela Bonifati, Cécile Favre, Élisa Fromont, Nicolas Labroche, Guy Melançon, Florence Sèdes, Arnaud Soulet, Alexandre Termier:
Diversity and Inclusion Activities in EGC - A 2022 Report. SIGKDD Explor. 24(1): 52-56 (2022) - [c48]Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
UniRank: Unimodal Bandit Algorithms for Online Ranking. ICML 2022: 7279-7309 - [c47]Abderaouf N. Amalou, Élisa Fromont, Isabelle Puaut:
CATREEN: Context-Aware Code Timing Estimation with Stacked Recurrent Networks. ICTAI 2022: 571-576 - [c46]Antonin Voyez, Tristan Allard, Gildas Avoine, Pierre Cauchois, Élisa Fromont, Matthieu Simonin:
Membership Inference Attacks on Aggregated Time Series with Linear Programming. SECRYPT 2022: 193-204 - [c45]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Low-cost Multispectral Scene Analysis with Modality Distillation. WACV 2022: 3331-3340 - [e6]Tassadit Bouadi, Élisa Fromont, Eyke Hüllermeier:
Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13205, Springer 2022, ISBN 978-3-031-01332-4 [contents] - [i14]Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
UniRank: Unimodal Bandit Algorithm for Online Ranking. CoRR abs/2208.01515 (2022) - [i13]Elodie Germani, Élisa Fromont, Camille Maumet:
On the benefits of self-taught learning for brain decoding. CoRR abs/2209.10099 (2022) - [i12]Antonin Voyez, Tristan Allard, Gildas Avoine, Pierre Cauchois, Élisa Fromont, Matthieu Simonin:
Unique in the Smart Grid -The Privacy Cost of Fine-Grained Electrical Consumption Data. CoRR abs/2211.07205 (2022) - 2021
- [c44]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
PDF-Distil: including Prediction Disagreements in Feature-based Distillation for object detection. BMVC 2021: 26 - [c43]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency. ICIP 2021: 449-453 - [c42]Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont, Boammani Aser Lompo:
Parametric Graph for Unimodal Ranking Bandit. ICML 2021: 3630-3639 - [c41]Samuel Felton, Élisa Fromont, Éric Marchand:
Siame-se(3): regression in se(3) for end-to-end visual servoing. ICRA 2021: 14454-14460 - [c40]Gregory Martin, Matthieu Donain, Élisa Fromont, Tias Guns, Laurence Rozé, Alexandre Termier:
Prediction-Based Fleet Relocation for Free Floating Car Sharing Services. ICTAI 2021: 1187-1191 - [c39]Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. ICTAI 2021: 1295-1299 - [c38]Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages. IDA 2021: 209-221 - [c37]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection. WACV 2021: 72-80 - [i11]Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. CoRR abs/2109.07519 (2021) - 2020
- [c36]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. ACCV (4) 2020: 104-118 - [c35]Simon Corbillé, Élisa Fromont, Éric Anquetil, Pauline Nerdeux:
Integrating Writing Dynamics in CNN for Online Children Handwriting Recognition. ICFHR 2020: 270-275 - [c34]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. ICIP 2020: 276-280 - [c33]Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard:
Adversarial Regularization for Explainable-by-Design Time Series Classification. ICTAI 2020: 1079-1087 - [e5]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2 [contents] - [e4]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents] - [e3]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11908, Springer 2020, ISBN 978-3-030-46132-4 [contents] - [i10]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
Local Cascade Ensemble for Multivariate Data Classification. CoRR abs/2005.03645 (2020) - [i9]Kevin Fauvel, Véronique Masson, Élisa Fromont:
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers. CoRR abs/2005.14501 (2020) - [i8]Kevin Fauvel, Tao Lin, Véronique Masson, Élisa Fromont, Alexandre Termier:
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification. CoRR abs/2009.04796 (2020) - [i7]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks. CoRR abs/2009.12664 (2020) - [i6]Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
Position-Based Multiple-Play Bandits with Thompson Sampling. CoRR abs/2009.13181 (2020) - [i5]Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection. CoRR abs/2009.14085 (2020)
2010 – 2019
- 2019
- [c32]Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban:
From Cost-Sensitive to Tight F-measure Bounds. AISTATS 2019: 1245-1253 - [c31]Kevin Bascol, Rémi Emonet, Élisa Fromont:
Improving Domain Adaptation by Source Selection. ICIP 2019: 3043-3047 - [c30]Kevin Fauvel, Véronique Masson, Élisa Fromont, Philippe Faverdin, Alexandre Termier:
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. KDD 2019: 3051-3059 - [i4]Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard:
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization. CoRR abs/1906.00917 (2019) - 2018
- [j10]Derek Greene, Björn Bringmann, Élisa Fromont, Jesse Davis:
Introduction to the special issue for the ECML PKDD 2018 journal track. Data Min. Knowl. Discov. 32(5): 1177-1178 (2018) - [j9]Jesse Davis, Björn Bringmann, Élisa Fromont, Derek Greene:
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track. Mach. Learn. 107(8-10): 1207-1208 (2018) - [j8]Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban:
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees. Pattern Recognit. Lett. 112: 310-316 (2018) - [c29]Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban:
Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. IDA 2018: 213-224 - 2017
- [j7]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf:
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. Neurocomputing 251: 68-80 (2017) - [c28]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. BMVC 2017 - [c27]Romain Deville, Élisa Fromont, Baptiste Jeudy, Christine Solnon:
Mining Frequent Patterns in 2D+t Grid Graphs for Cellular Automata Analysis. GbRPR 2017: 177-186 - [c26]Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere:
Improving Chairlift Security with Deep Learning. IDA 2017: 1-13 - [i3]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Residual Conv-Deconv Grid Network for Semantic Segmentation. CoRR abs/1707.07958 (2017) - 2016
- [j6]José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban:
Scene classification based on semantic labeling. Adv. Robotics 30(11-12): 758-769 (2016) - [c25]Élisa Fromont, Bart Goethals:
k-Morik: Mining Patterns to Classify Cartified Images of Katharina. Solving Large Scale Learning Tasks 2016: 377-385 - [c24]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Mixed pooling neural networks for color constancy. ICIP 2016: 3997-4001 - [c23]Romain Deville, Élisa Fromont, Baptiste Jeudy, Christine Solnon:
GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification. S+SSPR 2016: 132-142 - [c22]Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf:
Semantic Segmentation via Multi-task, Multi-domain Learning. S+SSPR 2016: 333-343 - [c21]Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez:
Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders. S+SSPR 2016: 427-438 - [e2]Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9853, Springer 2016, ISBN 978-3-319-46130-4 [contents] - 2015
- [b2]Élisa Fromont:
Mine First to See Better: Constraint-based Data Mining for Computer Vision Applications : Habilitation à Diriger des Recherches. Jean Monnet University, Saint-Étienne, France, 2015 - [c20]Imtiaz Masud Ziko, Élisa Fromont, Damien Muselet, Marc Sebban:
Supervised spectral subspace clustering for visual dictionary creation in the context of image classification. ACPR 2015: 356-360 - [c19]José Carlos Rangel, Miguel Cazorla, Ismael García-Varea, Jesus Martínez-Gómez, Élisa Fromont, Marc Sebban:
Computing Image Descriptors from Annotations Acquired from External Tools. ROBOT (2) 2015: 673-683 - [e1]Élisa Fromont, Tijl De Bie, Matthijs van Leeuwen:
Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Saint Etienne, France, October 22-24, 2015, Proceedings. Lecture Notes in Computer Science 9385, Springer 2015, ISBN 978-3-319-24464-8 [contents] - 2014
- [j5]Basura Fernando, Élisa Fromont, Tinne Tuytelaars:
Mining Mid-level Features for Image Classification. Int. J. Comput. Vis. 108(3): 186-203 (2014) - [c18]Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf:
Contextually Constrained Deep Networks for Scene Labeling. BMVC 2014 - [c17]Fabien Diot, Élisa Fromont, Baptiste Jeudy, Emmanuel Marilly, Olivier Martinot:
Unsupervised Tracking from Clustered Graph Patterns. ICPR 2014: 3678-3683 - [c16]Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont:
Mining Top-K Largest Tiles in a Data Stream. ECML/PKDD (2) 2014: 82-97 - 2013
- [j4]Adriana Prado, Baptiste Jeudy, Élisa Fromont, Fabien Diot:
Mining spatiotemporal patterns in dynamic plane graphs. Intell. Data Anal. 17(1): 71-92 (2013) - [c15]Hoang-Tung Tran, Élisa Fromont, François Jacquenet, Baptiste Jeudy, Adrien Martins:
Unsupervised Video Tag Correction System. EGC 2013: 461-466 - [c14]Hoang-Tung Tran, Élisa Fromont, François Jacquenet, Baptiste Jeudy:
Accurate Visual Features for Automatic Tag Correction in Videos. IDA 2013: 404-415 - 2012
- [j3]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24(1): 247-287 (2012) - [j2]Basura Fernando, Élisa Fromont, Damien Muselet, Marc Sebban:
Supervised learning of Gaussian mixture models for visual vocabulary generation. Pattern Recognit. 45(2): 897-907 (2012) - [c13]Basura Fernando, Élisa Fromont, Damien Muselet, Marc Sebban:
Discriminative feature fusion for image classification. CVPR 2012: 3434-3441 - [c12]Basura Fernando, Élisa Fromont, Tinne Tuytelaars:
Effective Use of Frequent Itemset Mining for Image Classification. ECCV (1) 2012: 214-227 - [c11]Fabien Diot, Élisa Fromont, Baptiste Jeudy, Emmanuel Marilly, Olivier Martinot:
Graph Mining for Object Tracking in Videos. ECML/PKDD (1) 2012: 394-409 - [c10]Leonor Becerra-Bonache, Élisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban:
Speeding Up Syntactic Learning Using Contextual Information. ICGI 2012: 49-53 - 2010
- [j1]Siegfried Nijssen, Élisa Fromont:
Optimal constraint-based decision tree induction from itemset lattices. Data Min. Knowl. Discov. 21(1): 9-51 (2010) - [c9]Cécile Barat, Christophe Ducottet, Élisa Fromont, Anne-Claire Legrand, Marc Sebban:
Weighted Symbols-Based Edit Distance for String-Structured Image Classification. ECML/PKDD (1) 2010: 72-86 - [p2]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining 2010: 59-77 - [p1]Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining 2010: 265-287
2000 – 2009
- 2009
- [c8]Élisa Fromont, Adriana Prado, Céline Robardet:
Constraint-Based Subspace Clustering. SDM 2009: 26-37 - [i2]Marie-Odile Cordier, Élisa Fromont, Rene Quiniou:
Learning rules from multisource data for cardiac monitoring. CoRR abs/0902.3373 (2009) - 2008
- [c7]Lucie Callens, Guy Carrault, Marie-Odile Cordier, Élisa Fromont, François Portet, Rene Quiniou:
Intelligent adaptive monitoring for cardiac surveillance. ECAI 2008: 653-657 - [c6]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado:
Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611 - [c5]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064 - 2007
- [c4]Siegfried Nijssen, Élisa Fromont:
Mining optimal decision trees from itemset lattices. KDD 2007: 530-539 - [i1]Élisa Fromont, Rene Quiniou, Marie-Odile Cordier:
Parallel universes to improve the diagnosis of cardiac arrhythmias. Parallel Universes and Local Patterns 2007 - 2006
- [c3]Élisa Fromont, Hendrik Blockeel, Jan Struyf:
Integrating Decision Tree Learning into Inductive Databases. KDID 2006: 81-96 - 2005
- [b1]Élisa Fromont:
Apprentissage multisource par programmation logique inductive : application à la caractérisation d'arythmies cardiaques. (Learning rules from multisource data using inductive logic programming:application to cardiac arrhythmias characterization). University of Rennes 1, France, 2005 - [c2]Élisa Fromont, Rene Quiniou, Marie-Odile Cordier:
Learning Rules from Multisource Data for Cardiac Monitoring. AIME 2005: 484-493 - 2004
- [c1]Élisa Fromont, Marie-Odile Cordier, Rene Quiniou:
Learning from Multi-source Data. PKDD 2004: 503-505
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