- interactIVe modules
Frontal Object Perception (FOP) and Moving Object Classification (MOC)
R. Omar Chavez-Garcia, Trung-Dung Vu, Olivier Aycard In collaboration with TRW Automotive and Centro Ricerche Fiat (CRF) S.C.p.A. - Wifibot
Communication over the network of current scans of the installed sensors on the robot: lidar, camera, infrared
Trung-Dung VU, R. Omar CHAVEZ-GARCIA -
https://github.com/PHILAE-PROJECT/NLP-based-Test-Selection-Tool
This tool uses NLP (e.g., Word2Vec) to select a smaller, more efficient test suite while preserving fault detection capability, reducing testing time.
Bahareh Afshinpour, Roland Groz, Massih-Reza Amini, Yves Ledru, Catherine Oriat -
https://github.com/PHILAE-PROJECT/Bug_Zone_Finder
This project identifies “Bug-Zone” areas in log files to help detect faults in resource-limited embedded systems that handle large network data but lack storage for debugging.
Bahareh Afshinpour, Roland Groz, Massih-Reza Amini -
https://github.com/Lies0zeta/Self-Training-of-Halfspaces
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
Lies Hadjadj, Massih-Reza Amini, and Sana Louhichi -
https://github.com/Lies0zeta/Proper-Topological-Regions
Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis
Lies Hadjadj, Emilie Devijver, Rémi Molinier, and Massih-Reza Amini. -
https://github.com/vfeofanov/trans-bounds-maj-vote
This semi-supervised framework iteratively assigns pseudo-labels to unlabeled data using a transductive bound. It builds on any probabilistic classifier; here, a random forest is used.
Vasilii Feofanov, Emilie Devijver and Massih-Reza Amini -
https://github.com/anna-laskina/comparable_corpora_generator
Creating Clustered Comparable Corpora from Wikipedia with Different Fuzziness Levels and Language Representativity
Anna Laskina, Eric Gaussier, Gaelle Calvary -
https://github.com/anna-laskina/comparable_clustering
A Closer Look at Clustering Bilingual Comparable Corpora
Anna Laskina, Eric Gaussier, Gaelle Calvary -
https://github.com/MaziarMF/deep-k-means
Deep k-Means: Jointly clustering with k-Means and learning representations
Maziar Moradi Fard, Thibaut Thonet, and Eric Gaussier -
https://github.com/lmh0921/keyB
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Minghan Li and Eric Gaussier -
https://github.com/ckassaad/causal_discovery_for_time_series
Survey and Evaluation of Causal Discovery Methods for Time Series
Charles K. Assaad, Emilie Devijver, Eric Gaussier -
https://github.com/ckassaad/PCGCE
Causal Discovery of Extended Summary Graphs in Time Series
Charles K. Assaad, Emilie Devijver, Eric Gaussier -
https://github.com/leizan/CMIh2022
A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test
Lei Zan, Anouar Meynaoui, Charles K. Assaad, Emilie Devijver, and Eric Gaussier -
https://github.com/leizan/T-RCA
On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
Lei Zan, Charles K. Assaad, Emilie Devijver, and Eric Gaussier -
https://github.com/vfeofanov/TSLA-FSGA
Wrapper feature selection with partially labeled data
Vasilii Feofanov, Emilie Devijver and Massih-Reza Amini