Thomas Guyet
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Three-State Gene Expression Model Parameterized for Single-Cell Multi-Omics Data Open
We present a novel three-state gene expression model designed to elucidate the underlying mechanisms of mRNA transcription and its regulation. Our model incorporates gene regulatory processes by explicitly including a transcription factor-…
Soft-ECM: An extension of Evidential C-Means for complex data Open
Clustering based on belief functions has been gaining increasing attention in the machine learning community due to its ability to effectively represent uncertainty and/or imprecision. However, none of the existing algorithms can be applie…
Evaluating PDE discovery methods for multiscale modeling of biological signals Open
Biological systems are non-linear, include unobserved variables and the physical principles that govern their dynamics are partly unknown. This makes the characterization of their behavior very challenging. Notably, their activity occurs o…
Vascular Segmentation of Functional Ultrasound Images using Deep Learning Open
Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and PET modalities have significantly benefited from deep learning segmentation techniques, more recent modalities, like functional ultrasound …
Clustering of timed sequences -- Application to the analysis of care pathways Open
Improving the future of healthcare starts by better understanding the current actual practices in hospital settings. This motivates the objective of discovering typical care pathways from patient data. Revealing typical care pathways can b…
SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping Open
Tensor decomposition has recently been gaining attention in the machine learning community for the analysis of individual traces, such as Electronic Health Records (EHR). However, this task becomes significantly more difficult when the dat…
A survey on the semantics of sequential patterns with negation Open
A sequential pattern with negation, or negative sequential pattern, takes the form of a sequential pattern for which the negation symbol may be used in front of some of the pattern's itemsets. Intuitively, such a pattern occurs in a sequen…
Admissible generalisation of temporal sequences as chronicles Open
International audience
View article: Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics Open
Wasserstein distance (WD) and the associated optimal transport plan have been proven useful in many applications where probability measures are at stake. In this paper, we propose a new proxy of the squared WD, coined min-SWGG, that is bas…
Generating robust counterfactual explanations Open
Counterfactual explanations have become a mainstay of the XAI field. This particularly intuitive statement allows the user to understand what small but necessary changes would have to be made to a given situation in order to change a model…
VCNet: A self-explaining model for realistic counterfactual generation Open
Counterfactual explanation is a common class of methods to make local explanations of machine learning decisions. For a given instance, these methods aim to find the smallest modification of feature values that changes the predicted decisi…
FrenchPiezo: the French mainland groundwater level multivariate time series Open
FrenchPiezo is the French mainland multivariate time series dataset of groundwater levels (a.k.a piezometric levels) across the French mainland. The dataset contains 1026 multivariate time series, each made of 3 dimensions which are: the p…
FrenchPiezo: the French mainland groundwater level multivariate time series Open
FrenchPiezo is the French mainland multivariate time series dataset of groundwater levels (a.k.a piezometric levels) across the French mainland. The dataset contains 1026 multivariate time series, each made of 3 dimensions which are: the p…
Experimental study of time series forecasting methods for groundwater level prediction Open
International audience
Imbalanced classification with tpg genetic programming Open
Recent research advances on Tangled Program Graphs (TPGs) have demonstrated that Genetic Programming (GP) can be used to build accurate classifiers. However, this performance has been tested on balanced classification problems while most o…
Monitoring of grassland productivity using Sentinel-2 remote sensing data Open
International audience
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification Open
International audience
HERDECT -Utilisation des données satellites Sentinel-2 pour quantifier la production d'herbe. Open
Grazed grass is the cheapest feed item in a feed ration. Good grass management requires knowledge ofthe available amount of grass. Simplifying and automating these grass measurements can help inmaintaining or even developing grazing. The H…
XPM: An Explainable-by-Design Pattern-Based Estrus Detection Approach to Improve Resource Use in Dairy Farms Open
International audience
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences Open
The need to analyze information from streams arises in a variety of applications. One of its fundamental research directions is to mine sequential patterns over data streams. Current studies mine series of items based on the presence of th…