Élisa Fromont

Orcid: 0000-0003-0133-3491

Affiliations:
  • University of Rennes, France
  • Jean Monnet University, Saint-Etienne, France (former)


According to our database1, Élisa Fromont authored at least 81 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Fast and Accurate Context-Aware Basic Block Timing Prediction using Transformers.
Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction, 2024

2023
Uncovering communities of pipelines in the task-fMRI analytical space.
CoRR, 2023

LCE: An Augmented Combination of Bagging and Boosting in Python.
CoRR, 2023

Deep metric learning for visual servoing: when pose and image meet in latent space.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Precise Segmentation for Children Handwriting Analysis by Combining Multiple Deep Models with Online Knowledge.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

CAWET: Context-Aware Worst-Case Execution Time Estimation Using Transformers.
Proceedings of the 35th Euromicro Conference on Real-Time Systems, 2023

2022
Diversity and Inclusion Activities in EGC - A 2022 Report.
SIGKDD Explor., 2022

Visual Servoing in Autoencoder Latent Space.
IEEE Robotics Autom. Lett., 2022

Combination of explicit segmentation with Seq2Seq recognition for fine analysis of children handwriting.
Int. J. Document Anal. Recognit., 2022

XEM: An explainable-by-design ensemble method for multivariate time series classification.
Data Min. Knowl. Discov., 2022

Unique in the Smart Grid -The Privacy Cost of Fine-Grained Electrical Consumption Data.
CoRR, 2022

On the benefits of self-taught learning for brain decoding.
CoRR, 2022

UniRank: Unimodal Bandit Algorithm for Online Ranking.
CoRR, 2022

Low-cost Multispectral Scene Analysis with Modality Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Membership Inference Attacks on Aggregated Time Series with Linear Programming.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

CATREEN: Context-Aware Code Timing Estimation with Stacked Recurrent Networks.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

UniRank: Unimodal Bandit Algorithms for Online Ranking.
Proceedings of the International Conference on Machine Learning, 2022

2021
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Prediction-Based Fleet Relocation for Free Floating Car Sharing Services.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Discovering Useful Compact Sets of Sequential Rules in a Long Sequence.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Siame-se(3): regression in se(3) for end-to-end visual servoing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Parametric Graph for Unimodal Ranking Bandit.
Proceedings of the 38th International Conference on Machine Learning, 2021

Deep Active Learning from Multispectral Data Through Cross-Modality Prediction Inconsistency.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

PDF-Distil: including Prediction Disagreements in Feature-based Distillation for object detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Position-Based Multiple-Play Bandits with Thompson Sampling.
CoRR, 2020

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification.
CoRR, 2020

A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers.
CoRR, 2020

Local Cascade Ensemble for Multivariate Data Classification.
CoRR, 2020

Adversarial Regularization for Explainable-by-Design Time Series Classification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks.
Proceedings of the IEEE International Conference on Image Processing, 2020

Integrating Writing Dynamics in CNN for Online Children Handwriting Recognition.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization.
CoRR, 2019

Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Improving Domain Adaptation by Source Selection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

From Cost-Sensitive to Tight F-measure Bounds.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees.
Pattern Recognit. Lett., 2018

Guest editors introduction to the special issue for the ECML PKDD 2018 journal track.
Mach. Learn., 2018

Introduction to the special issue for the ECML PKDD 2018 journal track.
Data Min. Knowl. Discov., 2018

Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression.
Neurocomputing, 2017

Improving Chairlift Security with Deep Learning.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Mining Frequent Patterns in 2D+t Grid Graphs for Cellular Automata Analysis.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Residual Conv-Deconv Grid Network for Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Scene classification based on semantic labeling.
Adv. Robotics, 2016

Semantic Segmentation via Multi-task, Multi-domain Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Mixed pooling neural networks for color constancy.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

k-Morik: Mining Patterns to Classify Cartified Images of Katharina.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Computing Image Descriptors from Annotations Acquired from External Tools.
Proceedings of the Robot 2015: Second Iberian Robotics Conference, 2015

Supervised spectral subspace clustering for visual dictionary creation in the context of image classification.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Mine First to See Better: Constraint-based Data Mining for Computer Vision Applications : Habilitation à Diriger des Recherches.
, 2015

2014
Mining Mid-level Features for Image Classification.
Int. J. Comput. Vis., 2014

Mining Top-K Largest Tiles in a Data Stream.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Unsupervised Tracking from Clustered Graph Patterns.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Contextually Constrained Deep Networks for Scene Labeling.
Proceedings of the British Machine Vision Conference, 2014

2013
Mining spatiotemporal patterns in dynamic plane graphs.
Intell. Data Anal., 2013

Accurate Visual Features for Automatic Tag Correction in Videos.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Unsupervised Video Tag Correction System.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

2012
Supervised learning of Gaussian mixture models for visual vocabulary generation.
Pattern Recognit., 2012

Speeding Up Syntactic Learning Using Contextual Information.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

An inductive database system based on virtual mining views.
Data Min. Knowl. Discov., 2012

Graph Mining for Object Tracking in Videos.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Effective Use of Frequent Itemset Mining for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Discriminative feature fusion for image classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010
Optimal constraint-based decision tree induction from itemset lattices.
Data Min. Knowl. Discov., 2010

Weighted Symbols-Based Edit Distance for String-Structured Image Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Inductive Querying with Virtual Mining Views.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

A Practical Comparative Study Of Data Mining Query Languages.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Constraint-Based Subspace Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2009

2008
An inductive database prototype based on virtual mining views.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Mining Views: Database Views for Data Mining.
Proceedings of the 24th International Conference on Data Engineering, 2008

Intelligent adaptive monitoring for cardiac surveillance.
Proceedings of the ECAI 2008, 2008

2007
Mining optimal decision trees from itemset lattices.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Parallel universes to improve the diagnosis of cardiac arrhythmias.
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006
Integrating Decision Tree Learning into Inductive Databases.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

2005
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).
PhD thesis, 2005

Learning Rules from Multisource Data for Cardiac Monitoring.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Learning from Multi-source Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004


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