Theme Data, Services, Intelligence
Presentation
The Data, Services, Intelligence (DSI) team includes specialists in mathematics and computer science who investigate different topics, all related to data:
Big Data Analytics
Machine learning, Knowledge extraction, Data quality
Analysis, Verification, Testing of applications, web services and business processes.
Our reserach work deals with the analysis of services, applications or business processes for optimising them, make them reliable or secure. The applications are described by means of onthologies, or with models (formals or UML). Generally speaking, these models are used for optimising a given property, for checking whether a property holds or for generating test suites.
Last publications
Isaac Wilfried Sanou, Julien Baderot, Ali Hallal, Vincent Barra, Johann Foucher - June 4, 2025
Deep Learning-Based on Feature Enhancement Module for Outer and Inner Object Segmentation in Semiconductor Images: Applications in Annotation and Metrology
17th International Conference on Quality Control by Artificial Vision (QCAV)
Roxane Jouseau, Sébastien Salva, C. Samir - Jan. 2, 2025
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Lecture Notes in Artificial Intelligence
Sk Imran Hossain, Jocelyn de Goër de Herve, David Abrial, Richard Emillion, Isabelle Lebert, Yann Frendo, Delphine Martineau, Olivier Lesens, Engelbert Mephu Nguifo - Jan. 1, 2025
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data
International Journal of Medical Informatics
Armel Soubeiga, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip - Jan. 1, 2025
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Expert Systems with Applications
Benoît Albert, Violaine Antoine, Jonas Koko - Jan. 1, 2025
ECM+: An improved evidential c-means with adaptive distance
Fuzzy Sets and Systems
Maxime Lefrançois, Catherine Roussey, Fatma-Zohra Hannou, Victor Charpenay, Antoine Zimmermann - Nov. 12, 2024
Kind of X and X of Interest: An Ontology Design Pattern to Reconcile Web of Thing Ontologies
15th Workshop on Ontology Design and Patterns (WOP 2024)
Antoine Zimmermann - Nov. 11, 2024
Make autonomous agents work and collaborate on the Web thanks to ontologies and ontology patterns
15th Workshop on Ontology Design and Patterns (WOP 2024)
Maureen Domche, Jerry Lonlac, Norbert Tsopze, Engelbert Mephu Nguifo - Nov. 4, 2024
Unveiling the Gap Between Gradual Patterns and Statistical Correlations in Numerical Data Analysis
Jerry Lonlac, Bernoulli Fotsing Tchide, Alain Bomgni, Arnaud Doniec, Engelbert Mephu Nguifo - Oct. 28, 2024
Revisiting Frequent (Closed) Gradual Itemsets Mining
IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)
David Hill, Benjamin A. Antunes, Anthony Bertrand, Engelbert Mephu Nguifo, Loïc Yon, Jeanne Nautré-Domanski, Antoine Violaine - Oct. 23, 2024
Machine learning and reproducibility impact of random numbers
38th European Simulation and Modelling Conference (ESM)
Deep Learning-Based on Feature Enhancement Module for Outer and Inner Object Segmentation in Semiconductor Images: Applications in Annotation and Metrology
17th International Conference on Quality Control by Artificial Vision (QCAV)
Roxane Jouseau, Sébastien Salva, C. Samir - Jan. 2, 2025
A New Metric for Measuring the Intrinsic Quality in Data Collected for Quantitative Classification
Lecture Notes in Artificial Intelligence
Sk Imran Hossain, Jocelyn de Goër de Herve, David Abrial, Richard Emillion, Isabelle Lebert, Yann Frendo, Delphine Martineau, Olivier Lesens, Engelbert Mephu Nguifo - Jan. 1, 2025
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data
International Journal of Medical Informatics
Armel Soubeiga, Violaine Antoine, Alice Corteval, Nicolas Kerckhove, Sylvain Moreno, Issam Falih, Jules Phalip - Jan. 1, 2025
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Expert Systems with Applications
Benoît Albert, Violaine Antoine, Jonas Koko - Jan. 1, 2025
ECM+: An improved evidential c-means with adaptive distance
Fuzzy Sets and Systems
Maxime Lefrançois, Catherine Roussey, Fatma-Zohra Hannou, Victor Charpenay, Antoine Zimmermann - Nov. 12, 2024
Kind of X and X of Interest: An Ontology Design Pattern to Reconcile Web of Thing Ontologies
15th Workshop on Ontology Design and Patterns (WOP 2024)
Antoine Zimmermann - Nov. 11, 2024
Make autonomous agents work and collaborate on the Web thanks to ontologies and ontology patterns
15th Workshop on Ontology Design and Patterns (WOP 2024)
Maureen Domche, Jerry Lonlac, Norbert Tsopze, Engelbert Mephu Nguifo - Nov. 4, 2024
Unveiling the Gap Between Gradual Patterns and Statistical Correlations in Numerical Data Analysis
Jerry Lonlac, Bernoulli Fotsing Tchide, Alain Bomgni, Arnaud Doniec, Engelbert Mephu Nguifo - Oct. 28, 2024
Revisiting Frequent (Closed) Gradual Itemsets Mining
IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)
David Hill, Benjamin A. Antunes, Anthony Bertrand, Engelbert Mephu Nguifo, Loïc Yon, Jeanne Nautré-Domanski, Antoine Violaine - Oct. 23, 2024
Machine learning and reproducibility impact of random numbers
38th European Simulation and Modelling Conference (ESM)
All publications are here