Publications

Machine learning, data mining, domain adaptation, complex graph analysis, model explainability, multimodal analysis. See also Google Scholar.

Peer-reviewed international journals

Theoretical guarantees for domain adaptation with hierarchical optimal transport

M. El Hamri, Y. Bennani, I. Falih

Machine Learning Journal · 2025 Q1

Clustering and interpretation of time-series trajectories of chronic pain using evidential C-Means

A. Soubeiga, V. Antoine, A. Corteval, N. Kerckhove, S. Moreno, I. Falih, J. Phalip

Expert Systems with Applications · 2025 Q1

Incremental confidence sampling with optimal transport for domain adaptation

M. El Hamri, Y. Bennani, I. Falih

International Journal of Neural Systems · 2024 Q1

Collaborative learning to improve the non-uniqueness of NMF

K. Benlamine, Y. Bennani, B. Matei, N. Grozavu, I. Falih

International Journal of Computational Intelligence and Applications · 2022

Hierarchical optimal transport for unsupervised domain adaptation

M. El Hamri, Y. Bennani, I. Falih

Machine Learning Journal · 2022 Q1

t-Distributed stochastic neighbor embedding spectral clustering using higher order approximations

N. Rogovschi, S. Zouinina, B. Matei, I. Falih, N. Grozavu, S. Ozawa

Australian Journal of Intelligent Information Processing Systems · 2019

International peer-reviewed conferences

C13

Accelerating gradual pattern discovery through dimensionality reduction

H. T. Motcheyo, I. Falih, L. Tiogning-Djiogue, E. Mephu Nguifo

ISMIS 2026 — Int. Symposium on Methodologies for Intelligent Systems, Lyon · 2026

C12

D-Embed: a distributed edge AI framework for deep learning model inference on embedded devices based on standard IoT protocol

J. Wang, E. Bergeret, I. Falih

AINA'26 — 40th Int. Conf. on Advanced Information Networking and Applications · 2026

C11

Theoretical guarantees for domain adaptation with hierarchical optimal transport (abstract reprint)

M. El Hamri, Y. Bennani, I. Falih

AAAI'26 — Proceedings of the AAAI Conference on Artificial Intelligence · 2026

C10

McCann's interpolation for gradual domain adaptation on the Wasserstein geodesic

M. El Hamri, I. Falih, Y. Rozenholc

IJCNN'25 — IEEE Int. Joint Conf. on Neural Networks, Rome · 2025

Hierarchical representation for multi-source domain adaptation via Wasserstein barycenter

M. El Hamri, I. Falih, Y. Rozenholc

ICMLA'24 — IEEE Int. Conf. on Machine Learning and Applications · 2024

Skeleton-based action recognition with spatial-structural graph convolution

J. Wang, E. Bergeret, I. Falih

WCCI'24 — IEEE World Congress on Computational Intelligence, Yokohama · 2024

Incremental unsupervised domain adaptation through optimal transport

M. El Hamri, Y. Bennani, I. Falih

IJCNN'22 — IEEE Int. Joint Conf. on Neural Networks, Padoue · 2022

When domain adaptation meets semi-supervised learning through optimal transport

M. El Hamri, Y. Bennani, I. Falih

AIAI'21 — IFIP WG 12.5 Int. Conference, Hersonissos · 2022

Label propagation through optimal transport

M. El Hamri, Y. Bennani, I. Falih

IJCNN'21 — IEEE Int. Joint Conf. on Neural Networks, Shenzhen · 2021

Inductive semi-supervised learning through optimal transport

M. El Hamri, Y. Bennani, I. Falih

ICONIP'21 — 28th Int. Conference on Neural Information Processing, Bali · 2021

Topological multi-view clustering for collaborative filtering

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

INNS BDDL'18 — 3rd INNS Conference on Big Data and Deep Learning, Bali · 2018

Collaborative multi-view attributed networks mining

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

WCCI'18 — IEEE World Congress on Computational Intelligence, Rio de Janeiro · 2018

C1b

ANCA: attributed network clustering algorithm

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

Complex Networks'17 — 6th Int. Conf. on Complex Networks and Their Applications, Lyon · 2017

C1a

Multiplex network clustering based collaborative filtering

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

ISI'17 — 61st International Statistical Institute World Statistics Congress, Marrakech · 2017

A recommendation system based on unsupervised topological learning

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

ICONIP'15 — 22nd Int. Conf. on Neural Information Processing, Istanbul · 2015

National peer-reviewed conferences

Online domain adaptation for data stream anomaly detection

H. T. Motcheyo, I. Falih, E. Mephu Nguifo

CAp 2026 — Conférence sur l'Apprentissage automatique · 2026

Accélération de l'extraction des motifs graduels fréquents basée sur la réduction de dimensionnalité

H. T. Motcheyo, I. Falih, L. Tiogning-Djiogue, E. Mephu Nguifo

EGC 2026 — Extraction et Gestion des Connaissances · 2026

A comparative study of emotion recognition methods using facial expressions

R. El Cheikh, H. Tran, I. Falih, E. Mephu Nguifo

EGC 2023 — Extraction et Gestion des Connaissances, Lyon · 2023

L'ambiguïté dans la représentation des émotions : état de l'art des bases de données multimodales

H. Tran, L. Brelet, I. Falih, X. Goblet, E. Mephu Nguifo

EGC 2022 — Extraction et Gestion des Connaissances, Blois · 2022

Apprentissage semi-supervisé transductif basé sur le transport optimal

M. El Hamri, Y. Bennani, I. Falih

Conférence Internationale Francophone sur la Science des Données, Marseille · 2021

N1b

Clustering dans les graphes attribués

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

AAFD & SFC, Marrakech · 2016

N1a

Approches de clustering pour la recommandation

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

SFC 2015 — Société Francophone de Classification, Nantes · 2015

Une approche centrée graine pour la détection de communautés dans les réseaux multiplexes

I. Falih, M. Hmimida, R. Kanawati

EGC 2015 — Extraction et Gestion des Connaissances, Luxembourg · 2015

Peer-reviewed international workshops

WI5

A protocol-driven platform for agent-agnostic evaluation of LLM agents

C. M. Tran, I. Falih, H. Chahdi

NeurIPS 2025 Workshop — Evaluating the Evolving LLM Lifecycle: Benchmarks and Beyond · 2025

WI4

KL-guided concept-based learning for explainable classification

R. El Cheikh, I. Falih, E. Mephu Nguifo

ECML-PKDD 2025 — 7th Int. Workshop on eXplainable Knowledge Discovery in Data Mining and Unlearning · 2025

WI3

Multimodal emotion recognition: a comparative study

A. Gondech, H. Tran, I. Falih, X. Goblet, E. Mephu Nguifo

IFCS 2024 — 18th Int. Federation of Classification Societies · 2024

WI2

Do multimodal emotion recognition models tackle ambiguity?

H. Tran, I. Falih, X. Goblet, E. Mephu Nguifo

2nd Workshop on People in Vision, Language, and the Mind, Marseille · 2022

WI1b

Community detection in attributed network

I. Falih, N. Grozavu, R. Kanawati, Y. Bennani

WWW'18 — Companion of the Web Conference, Lyon · 2018

WI1

Community detection in multiplex network: a comparative study

I. Falih, M. Hmimida, R. Kanawati

ECCS'14 — Satellite Workshop on Multiplex Networks · 2014

Peer-reviewed national workshops

WN4

Heterogeneous incomplete multi-view data for neurotoxicity biomarkers identification

Q. Ruin, D. Balayssac, I. Falih, E. Mephu Nguifo

PFIA — Santé et IA, Strasbourg · 2023

WN3

Analyse des réseaux d'interaction entre entreprises cotées en bourse

S. Sellami, I. Falih, T. Auvray, R. Kanawati

MARAMI / JFGG, Cergy · 2016

WN2

Détection de communautés dans les réseaux multiplexes : application au calcul de recommandation

I. Falih

MARAMI / JFGG, Nîmes · 2015

WN1

Détection de communautés dans les réseaux multiplexes : étude comparative

I. Falih, M. Hmimida, R. Kanawati

JFGG'14 — Journée thématique Fouille de grands graphes, Paris · 2014

Demonstrations, tutorials and invited talks

Attributed network mining: application to recommender system

I. Falih

INNS BDDL'18 — Invited tutorial, Bali · 2018

MUNA: a multiplex network analysis library

I. Falih, R. Kanawati

ASONAM 2015 — IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining, Paris · 2015

MuxLicod : une approche de détection de communautés dans les réseaux multiplexes

I. Falih, M. Hmimida, R. Kanawati

Journées non-thématiques ResCom, Paris · 2015