Olivier Teste

Full Professor in Computer Science

Université de Toulouse

France

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About

Olivier Teste is a Full Professor in Computer Science at Université de Toulouse 2. He conducts research in machine learning, data science, and algorithm development, with recent articles focusing on ensemble learning frameworks, data ingestion, and similarity measures for clustering algorithms. His work also explores data alignment techniques and the application of data-driven methods in discovering systems of ordinary differential equations.

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2020

Collaborators (4)

Julien Aligon

Université de Toulouse

FRANCE

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Kamaryn Tanner

Columbia University

UNITED STATES

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MONCEF GAROUANI

Toulouse 1 Capitole University

FRANCE

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Josiane Mothe

Professor

Université de Toulouse

FRANCE

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Olivier Teste

Research Interests

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About

Articles (24)

XStacking : An effective and inherently explainable framework for stacked ensemble learning

Identification of Functional Cellular Markers Related to Human Health, Frailty and Chronological Age.

Simrec: a similarity measure recommendation system for mixed data clustering algorithms

Overview on Data Ingestion and Schema Matching

Embedding-Based Data Matching for Disparate Data Sources

IDAGEmb: An Incremental Data Alignment Based on Graph Embedding

Towards Regional Explanations with Validity Domains for Local Explanations

Unified Models and Framework for Querying Distributed Data Across Polystores

Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning

Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning

NeuralODE-Based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-Dimensional Dynamical Systems

Surrogate modelling for an aircraft dynamic landing loads simulation using an LSTM AutoEncoder-based dimensionality reduction approach

Physics-constrained deep learning forecasting: an application with capacitance resistive model

Physics-constrained deep learning forecasting: an application with capacitance resistive model

The investigation of an event-based approach to improve commodities supply chain management

Combinations of Content Representation Models for Event Detection on Social Media

Dimensional Data KNN-Based Imputation

Feature Selection Under Fairness and Performance Constraints

PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms

Early Detection of Atmospheric Turbulence for Civil Aircraft: A Data Driven Approach

PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms

RFreeStem : Une méthode de racinisation indépendante de la langue et sans règle

DECWA : Density-Based Clustering using Wasserstein Distance

CoRP: A Pattern-Based Anomaly Detection in Time-Series

Collaborators (4)

Julien Aligon

Kamaryn Tanner

MONCEF GAROUANI

Josiane Mothe

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