Computing the observable equivalence relation of a finite state machine. - Thomas Tamisier (ICCAD, 1993)

Socio-economic database online. - Thomas Tamisier; Fernand Feltz; Stéphane Riegel (Data Sci. J., 2005)

A Data Model for Knowledge Representation in Collaborative Systems. - Thomas Tamisier; Fernand Feltz (Data Sci. J., 2007)

Mixing Protocol based on the Cooperation and the Parallelism for the Distributed Environment. - Belaid Saad; Francine Herrmann; Yann Lanuel; Thomas Tamisier (SNPD, 2008)

Model Based Testing for Horizontal and Vertical Collaboration in Embedded Systems Development. - Thomas Tamisier; Hind Bouzite; Christophe Louis; Yves Gaffinet; Fernand Feltz (CDVE, 2009)

A Collaborative Reasoning Maintenance System for a Reliable Application of Legislations. - Thomas Tamisier; Yoanne Didry; Olivier Parisot; Fernand Feltz (CDVE, 2009)

DDCSP: Constraint Satisfaction Problem Used for Rule-Based System. - Belaid Saad; Francine Herrmann; Yann Lanuel; Thomas Tamisier (DSDE, 2010)

Model Generated Interface for Modeling and Applying Decisional Knowledge. - Thomas Tamisier; Yoanne Didry; Olivier Parisot; Jérôme Wax; Fernand Feltz (NDT (2), 2010)

Adapting Decision Support to Business Requirements through Data Interpretation. - Thomas Tamisier; Olivier Parisot; Yoanne Didry; Jérôme Wax; Fernand Feltz (CDVE, 2011)

Modeling Decisional Knowledge with the Help of Data Quality Information. - Jérôme Wax; Benoît Otjacques; Thomas Tamisier; Olivier Parisot; Yoanne Didry; Fernand Feltz (CDVE, 2011)

Atlas: A Knowledge-Based Collaborative Framework for Handling Logistics Procedures. - Thomas Tamisier; Yoanne Didry; Fernand Feltz (DEIS, 2011)

Lifelong Automated Testing: A Collaborative Framework for Checking Industrial Products Along Their Lifecycle. - Thomas Tamisier; Fernand Feltz (DICTAP (2), 2011)

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics. - Thomas Tamisier; Fernand Feltz (Int. J. E Entrepreneurship Innov., 2011)

Fostering Collaboration in Software Development through a Visual Assistant to Unit Testing. - Thomas Tamisier; Morgan Mathu; Fernand Feltz (CDVE, 2012)

User-Driven Data Preprocessing for Decision Support. - Olivier Parisot; Pierrick Bruneau; Yoanne Didry; Thomas Tamisier (CDVE, 2013)

Visualization of Unit and Selective Regression Software Tests. - Thomas Tamisier; Peter Karski; Fernand Feltz (CDVE, 2013)

Using Clustering to Improve Decision Trees Visualization. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (IV, 2013)

Collaborative Annotation of Multimedia Resources. - Pierrick Bruneau; Mickaël Stefas; Mateusz Budnik; Johann Poignant; Hervé Bredin; Thomas Tamisier; Benoît Otjacques (CDVE, 2014)

Data Wrangling: A Decisive Step for Compact Regression Trees. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (CDVE, 2014)

Data Intellection for Wiser Online Sales the Optosa Approach. - Thomas Tamisier; Gero Vierke; Helmut Rieder; Yoanne Didry; Olivier Parisot (CDVE, 2014)

SVDD: A proposal for automated credit rating prediction. - Claude Gangolf; Robert Dochow; Günter Schmidt 002; Thomas Tamisier (CoDIT, 2014)

Visual analytics for supporting manufacturers and distributors in online sales. - Olivier Parisot; Gero Vierke; Thomas Tamisier; Yoanne Didry; Helmut Rieder (EMISA, 2014)

Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. - Olivier Parisot; Yoanne Didry; Pierrick Bruneau; Thomas Tamisier (EGC, 2014)

Helping decision support with regression trees and clustering perturbation. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (DSS, 2014)

A Web-Based Tool for the Visual Analysis of Media Annotations. - Pierrick Bruneau; Mickaël Stefas; Hervé Bredin; Anh-Phuong Ta; Thomas Tamisier; Claude Barras (IV, 2014)

Engineering Data Intensive Applications with Cadral. - Yoanne Didry; Olivier Parisot; Thomas Tamisier (CDVE, 2015)

Preserving Prediction Accuracy on Incomplete Data Streams. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (DATA, 2015)

Training Model Trees on Data Streams with Missing Values. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (DATA (Revised Selected Papers), 2015)

A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications. - Pierrick Bruneau; Mickaël Stefas; Hervé Bredin; Johann Poignant; Thomas Tamisier; Claude Barras (ICMI, 2015)

Visual and Dynamic Change Detection for Data Streams. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (ICONIP (3), 2015)

Collaborative annotation for person identification in TV shows. - Mateusz Budnik; Laurent Besacier; Johann Poignant; Hervé Bredin; Claude Barras; Mickaël Stefas; Pierrick Bruneau; Thomas Tamisier (INTERSPEECH, 2015)

An Interactive Tool for Transparent Data Preprocessing. - Olivier Parisot; Thomas Tamisier (ERCIM News, 2015)

Helping predictive analytics interpretation using regression trees and clustering perturbation. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (J. Decis. Syst., 2015)

Exploration and Visualization Approach for Outlier Detection on Log Files. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (New Trends in Intelligent Information and Database Systems, 2015)

Big Data Clustering using Data Streams Approach. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (BDAW, 2016)

Visual Analytics for Interacting on Cultural Heritage. - Thomas Tamisier; Roderick McCall; Gabriela Gheorghe; Philippe Pinheiro (CDVE, 2016)

Clustering visuel semi-interactif. - Lydia Boudjeloud; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (EGC, 2016)

Approche de Clustering de Flux basée sur les Graphes de Voisinage. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (EGC, 2016)

Un outil d'exploration pour le Défi EGC 2016. - Olivier Parisot; Yoanne Didry; Thomas Tamisier (EGC, 2016)

Arbres de modèles et flux de données incomplets. - Olivier Parisot; Yoanne Didry; Thomas Tamisier; Benoît Otjacques (EGC, 2016)

Incremental nearest neighborhood graph for data stream clustering. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (IJCNN, 2016)

The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. - Johann Poignant; Mateusz Budnik; Hervé Bredin; Claude Barras; Mickaël Stefas; Pierrick Bruneau; Gilles Adda; Laurent Besacier; Hazim Kemal Ekenel; Gil Francopoulo; Javier Hernando; Joseph Mariani; et al. (LREC, 2016)

Benchmarking multimedia technologies with the CAMOMILE platform: the case of Multimodal Person Discovery at MediaEval 2015. - Johann Poignant; Hervé Bredin; Claude Barras; Mickaël Stefas; Pierrick Bruneau; Thomas Tamisier (LREC, 2016)

Interactive and iterative visual clustering. - Lydia Boudjeloud-Assala; Philippe Pinheiro; Alexandre Blansché; Thomas Tamisier; Benoît Otjacques (Inf. Vis., 2016)

Automated Credit Rating Prediction in a competitive framework. - Claude Gangolf; Robert Dochow; Günter Schmidt 002; Thomas Tamisier (RAIRO Oper. Res., 2016)

Traitement de Flux par un Graphe de Voisinage Incrémental. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (Fouille de Données Complexes, 2016)

Building Common Knowledge from Personal Historical Narratives. - Paulo Carvalho; Thomas Tamisier (CDVE, 2017)

Collaborative Storytelling Using Gamification and Augmented Reality. - Irene M. Gironacci; Rod McCall; Thomas Tamisier (CDVE, 2017)

Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (DATA, 2017)

Using Visualisation Techniques to Acquire a Better Understanding of Storytelling for Cultural Heritage. - Paulo Carvalho; Olivier Parisot; Thomas Tamisier (DATA, 2017)

A Corpus of Narratives Related to Luxembourg for the Period 1945-1975. - Olivier Parisot; Thomas Tamisier (DEXA Workshops, 2017)

Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (EGC, 2017)

Subspace Clustering et Visualisation des Flux de Données. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (EGC, 2017)

Vers un échantillonnage de flux de données transformé. - Olivier Parisot; Thomas Tamisier (EGC, 2017)

Subspace Clustering and Visualization of Data Streams. - Ibrahim Louhi; Lydia Boudjeloud-Assala; Thomas Tamisier (VISIGRAPP (3: IVAPP), 2017)

Locale, an Environment-Aware Storytelling Framework Relying on Augmented Reality. - Thomas Tamisier; Irene M. Gironacci; Roderick McCall (ERCIM News, 2017)

Automated Tire Footprint Segmentation. - Rodrigo Nava; Duc Fehr; Frank Petry; Thomas Tamisier (EUSIPCO, 2018)

Newtrap: Improving Biodiversity Surveys by Enhanced Handling of Visual Observations. - Yoanne Didry; Xavier Mestdagh; Thomas Tamisier (CDVE, 2019)

Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. - Pierrick Bruneau; Thomas Tamisier (MediaEval, 2019)

Estimation of the Dynamic Contact Area From a Rolling Tire Correlated to Expert Assessment. - Rodrigo Nava; Duc Fehr; Frank Petry; Thomas Tamisier (IEEE Access, 2019)

Extracting localized information from a Twitter corpus for flood prevention. - Etienne Brangbour; Pierrick Bruneau; Stéphane Marchand-Maillet; Renaud Hostache; Patrick Matgen; Marco Chini; Thomas Tamisier (CoRR, 2019)

Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers. - Etienne Brangbour; Pierrick Bruneau; Thomas Tamisier; Stéphane Marchand-Maillet (CDVE, 2020)

FireBird: A Fire Alert and Live Fire Monitoring System Based on Social Media Contribution. - Arijit Das; Rahul Dutta; Ayan Dey; Thomas Tamisier; Sukriti Bhattacharya (CDVE, 2020)

Visualizing Features on Classified Fauna Images Using Class Activation Maps. - Yoanne Didry; Xavier Mestdagh; Thomas Tamisier (CDVE, 2020)

Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information. - Pierrick Bruneau; Yoanne Didry; Thomas Tamisier (EGC, 2020)

Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks. - Rodrigo Nava; Duc Fehr; Frank Petry; Thomas Tamisier (ICPR Workshops (5), 2020)

Computing flood probabilities using Twitter: application to the Houston urban area during Harvey. - Etienne Brangbour; Pierrick Bruneau; Stéphane Marchand-Maillet; Renaud Hostache; Marco Chini; Patrick Matgen; Thomas Tamisier (CoRR, 2020)

Reproducible Improvement of Images Quality Through Nature Inspired Optimisation. - Olivier Parisot; Thomas Tamisier (CDVE, 2021)

Automated Machine Learning for Wind Farms Location. - Olivier Parisot; Thomas Tamisier (ICPRAM, 2021)

Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter. - Pierrick Bruneau; Etienne Brangbour; Stéphane Marchand-Maillet; Renaud Hostache; Marco Chini; Ramona Pelich; Patrick Matgen; Thomas Tamisier (Remote. Sens., 2021)

Applying Genetic Algorithm and Image Quality Assessment for Reproducible Processing of Low-light Images. - Olivier Parisot; Thomas Tamisier (IMPROVE, 2022)

Cold Start Active Learning Strategies in the Context of Imbalanced Classification. - Etienne Brangbour; Pierrick Bruneau; Thomas Tamisier; Stéphane Marchand-Maillet (CoRR, 2022)

Championing Electromobility with Co-engineered Services Based on Artificial Intelligence and Interdisciplinarity. - Thomas Tamisier; German Castignani; Laurence Johannsen (CDVE, 2023)

Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature. - Olivier Parisot; Thomas Tamisier (CoRR, 2023)