Christine Keribin

Centre National de la Recherche Scientifique — France

Computer Science · Physical Sciences

10h-index438citations71works0.02yr avg
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Research Topics

Bayesian Methods and Mixture Models(25), Statistical Methods and Inference(11), Statistical Methods and Bayesian Inference(8), Advanced Clustering Algorithms Research(8), Data Management and Algorithms(6)

Publications71 total

Improved Real-Time Crowding Information Through the Modeling of Passenger Movements in Trains with Communicating Coaches
Data Science for Transportation·2025Open Access
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
arXiv (Cornell University)·2025Open Access
Model based co-clustering: high dimension & estimation challenges
SPIRE - Sciences Po Institutional REpository·2025Open Access
Construction of Fatigue Criteria Through Positive‐Unlabeled Learning
Fatigue & Fracture of Engineering Materials & Structures·2024Open Access
Model Based Co-Clustering: High Dimension and Estimation Challenges
SPIRE - Sciences Po Institutional REpository·2024Open Access
Model Based Co-Clustering: High Dimension and Estimation Challenges
SPIRE - Sciences Po Institutional REpository·2024Open Access
Modélisation des déplacements à bord de trains pour l'estimation de la charge à bord par zone
SPIRE - Sciences Po Institutional REpository·2023Open Access
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges
Journal of Classification·2023· 6 citedOpen Access
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach
Statistics and Computing·2023Open Access
Modeling dwell time in a data-rich railway environment: With operations and passenger flows data
Transportation Research Part C Emerging Technologies·2022· 15 citedOpen Access
Convergence rates for Positive-Unlabeled learning under Selected At Random assumption: sensitivity analysis with respect to propensity
HAL (Le Centre pour la Communication Scientifique Directe)·2022· 1 citedOpen Access
Convergence rates for PU learning under the SAR assumption: influence of propensity
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
One-Station-Ahead Forecasting of Dwell Time, Arrival Delay and Passenger Flows on Trains Equipped with Automatic Passenger Counting (APC) Device
HAL (Le Centre pour la Communication Scientifique Directe)·2022· 1 citedOpen Access
Modeling dwell time in a data-rich railway environment: with operations and passenger flows data
HAL (Le Centre pour la Communication Scientifique Directe)·2022Open Access
Risk bounds for PU learning under Selected At Random assumption
arXiv (Cornell University)·2022· 1 citedOpen Access
Fatigue Data-Based Design: statistical methods for the identification of critical zones
HAL (Le Centre pour la Communication Scientifique Directe)·2021· 1 citedOpen Access
Cluster or co-cluster the nodes of oriented graphs?
HAL (Le Centre pour la Communication Scientifique Directe)·2021· 1 citedOpen Access
A binned technique for scalable model-based clustering on huge datasets
HAL (Le Centre pour la Communication Scientifique Directe)·2020Open Access
Estimation de modèles de mélanges gaussiens univariés à partir de données groupées dans le cas d'une grande volumétrie de données
2020
Caractérisation de zones critiques pour le dimensionnement en fatigue d'une pièce mécanique
HAL (Le Centre pour la Communication Scientifique Directe)·2020Open Access
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Frequent Co-authors

Christophe Biernacki(9), Vincent Brault(8), Gilles Celeux(8), Evelyn Eger(7), Bertrand Thirion(7), Vincent Michel(5), Gérard Govaert(4), Olivier Coudray(4), Patrick Pamphile(4), Gilles Stoltz(3), Mahendra Mariadassou(3), Julien Jacques(3), Filippo Antonazzo(3), Yves Rozenholc(3), Rémi Coulaud(2), Jean‐Baptiste Poline(2), Philippe Bristiel(2), Miguel Dinis(2), Tatiana Popova(2), Alexandre Gramfort(1)