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Nataliya Sokolovska · SciRah

Researcher profile · Semantic Scholar

Nataliya Sokolovska

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Nataliya Sokolovska — researcher profile on SciRah

h-index: 18
Works: 61
Citations: 3,317

Most-cited papers

Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology
M. Dao, A. Everard, J. Aron-Wisnewsky, Nataliya Sokolovska +11 more
2015Gut1,743 citations Open access
Semantic Scholar
Continuous Upper Confidence Trees
Adrien Couëtoux, Jean-Baptiste Hoock, Nataliya Sokolovska, O. Teytaud +1 more
2011Learning and Intelligent Optimization225 citations
Semantic Scholar
Combinatorial, additive and dose-dependent drug–microbiome associations
S. Forslund, R. Chakaroun, M. Zimmermann-Kogadeeva, L. Markó +115 more
2021Nature208 citations Open access
Semantic Scholar
The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass
J. Aron-Wisnewsky, Nataliya Sokolovska, Yuejun Liu, D. Comaneshter +10 more
2017Diabetologia127 citations Open access
Semantic Scholar
Long-term Relapse of Type 2 Diabetes After Roux-en-Y Gastric Bypass: Prediction and Clinical Relevance
Jean Debédat, Nataliya Sokolovska, M. Coupaye, S. Panunzi +13 more
2018Diabetes Care124 citations
Semantic Scholar
Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism
E. Belda, Lise Voland, V. Tremaroli, G. Falony +58 more
2022Gut120 citations Open access
Semantic Scholar
CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
Asma Nouira, Nataliya Sokolovska, J. Crivello
2018AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering117 citations
Semantic Scholar
Circulating phospholipid profiling identifies portal contribution to NASH signature in obesity.
K. Anjani, M. Lhomme, Nataliya Sokolovska, C. Poitou +8 more
2015Journal of Hepatology106 citations
Semantic Scholar
Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian network approach.
L. Kong, Pierre-Henri Wuillemin, J. Bastard, Nataliya Sokolovska +9 more
2013American Journal of Clinical Nutrition88 citations Open access
Semantic Scholar
The FAT Score, a Fibrosis Score of Adipose Tissue: Predicting Weight-Loss Outcome After Gastric Bypass
Pierre Bel Lassen, F. Charlotte, Yuejun Liu, P. Bedossa +9 more
2017Journal of Clinical Endocrinology and Metabolism72 citations Open access
Semantic Scholar
The asymptotics of semi-supervised learning in discriminative probabilistic models
Nataliya Sokolovska, O. Cappé, François Yvon
2008International Conference on Machine Learning56 citations
Semantic Scholar
A Data Integration Multi-Omics Approach to Study Calorie Restriction-Induced Changes in Insulin Sensitivity
M. Dao, Nataliya Sokolovska, R. Brazeilles, Séverine Affeldt +16 more
2019Frontiers in Physiology33 citations Open access
Semantic Scholar
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning
T. Nguyen, Edi Prifti, Y. Chevaleyre, Nataliya Sokolovska +1 more
2018arXiv.org32 citations
Semantic Scholar
Autophagy inhibition blunts PDGFRA adipose progenitors’ cell-autonomous fibrogenic response to high-fat diet
Geneviève Marcelin, C. da Cunha, C. Gamblin, N. Suffee +7 more
2020Autophagy28 citations Open access
Semantic Scholar
A Provable Algorithm for Learning Interpretable Scoring Systems
Nataliya Sokolovska, Y. Chevaleyre, Jean-Daniel Zucker
2018International Conference on Artificial Intelligence and Statistics21 citations
Semantic Scholar
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks
T. Nguyen, Y. Chevaleyre, Edi Prifti, Nataliya Sokolovska +1 more
2017arXiv.org21 citations
Semantic Scholar
Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labeling
Nataliya Sokolovska, T. Lavergne, O. Cappé, François Yvon
2009IEEE Journal on Selected Topics in Signal Processing20 citations Open access
Semantic Scholar
Supervised deep learning prediction of the formation enthalpy of complex phases using a DFT database: The σ−phase as an example
J. Crivello, J. Joubert, Nataliya Sokolovska
2022Computational materials science19 citations Open access
Semantic Scholar
Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks
Thanh Hai Nguyen, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker
2019Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies18 citations
Semantic Scholar
A Principled Method for Exploiting Opening Books
R. Gaudel, Jean-Baptiste Hoock, Julien Perez, Nataliya Sokolovska +1 more
2010Computers and Games15 citations Open access
Semantic Scholar
Beta-hydroxybutyrate dampens adipose progenitors’ profibrotic activation through canonical Tgfβ signaling and non-canonical ZFP36-dependent mechanisms
Simon Lecoutre, F. Merabtene, El-Kaber HACHEM, C. Gamblin +7 more
2022Molecular Metabolism11 citations Open access
Semantic Scholar
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework
El-Kaber HACHEM, Nataliya Sokolovska, H. Soula
2023BMC Bioinformatics10 citations Open access
Semantic Scholar
The fused lasso penalty for learning interpretable medical scoring systems
Nataliya Sokolovska, Y. Chevaleyre, K. Clément, Jean-Daniel Zucker
2017IEEE International Joint Conference on Neural Network10 citations
Semantic Scholar
Functional prediction of environmental variables using metabolic networks
Adèle Weber Zendrera, Nataliya Sokolovska, H. Soula
2021Scientific Reports9 citations Open access
Semantic Scholar
SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network
Asma Atamna, Nataliya Sokolovska, J. Crivello
20199 citations
Semantic Scholar
Spectral consensus strategy for accurate reconstruction of large biological networks
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
2016BMC Bioinformatics9 citations Open access
Semantic Scholar
Handling expensive optimization with large noise
Rémi Coulom, Philippe Rolet, Nataliya Sokolovska, O. Teytaud
2011Foundations of Genetic Algorithms9 citations Open access
Semantic Scholar
Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines
Nataliya Sokolovska, O. Permiakova, S. Forslund, Jean-Daniel Zucker
2020IEEE/ACM Transactions on Computational Biology & Bioinformatics8 citations Open access
Semantic Scholar
Aspects of Semi-supervised and Active Learning in Conditional Random Fields
Nataliya Sokolovska
2011ECML/PKDD7 citations
Semantic Scholar
Learning sparse representations of preferences within Choquet expected utility theory
Margot Herin, P. Perny, Nataliya Sokolovska
2022Conference on Uncertainty in Artificial Intelligence6 citations
Semantic Scholar
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Y. Chevaleyre, B. Hanczar
2019International Conference on Artificial Intelligence and Statistics6 citations
Semantic Scholar
The Role of Instrumental Variables in Causal Inference Based on Independence of Cause and Mechanism
Nataliya Sokolovska, Pierre-Henri Wuillemin
2020Entropy5 citations Open access
Semantic Scholar
Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature
Adèle Weber Zendrera, Nataliya Sokolovska, H. Soula
2019BMC Bioinformatics5 citations Open access
Semantic Scholar
Probabilistic personalised cascade with abstention
Tatiana Shpakova, Nataliya Sokolovska
2021Pattern Recognition Letters4 citations Open access
Semantic Scholar
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
Asma Atamna, Nataliya Sokolovska, J. Crivello
2020International Symposium on Intelligent Data Analysis4 citations Open access
Semantic Scholar
Deep kernel dimensionality reduction for scalable data integration
Nataliya Sokolovska, K. Clément, Jean-Daniel Zucker
2016International Journal of Approximate Reasoning3 citations Open access
Semantic Scholar
Q-Learning with Double Progressive Widening: Application to Robotics
Nataliya Sokolovska, O. Teytaud, Mario Milone
2011International Conference on Neural Information Processing3 citations Open access
Semantic Scholar
Sélection de caractéristiques pour les champs aléatoires conditionnels par pénalisation L1 [Selecting features with L1 regularization in Conditional Random Fields]
Nataliya Sokolovska, O. Cappé, François Yvon
2009ICON3 citations
Semantic Scholar
Vanishing boosted weights: A consistent algorithm to learn interpretable rules
Nataliya Sokolovska, Y. M. Behbahani
2021Pattern Recognition Letters2 citations Open access
Semantic Scholar
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines
Nataliya Sokolovska, K. Clément, Jean-Daniel Zucker
2019Information Fusion2 citations Open access
Semantic Scholar
Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization
Nataliya Sokolovska, Y. Chevaleyre, Jean-Daniel Zucker
2018IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition2 citations
Semantic Scholar
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction
Nataliya Sokolovska, H. Nguyen, K. Clément, Jean-Daniel Zucker
2016IEEE International Joint Conference on Neural Network2 citations Open access
Semantic Scholar
Akkermansia Muciniphila and Gut Microbiota Richness are Associated with Improved Metabolic Status after Calorie Restriction
M. Dao, A. Everard, J. Aron-Wisnewsky, Nataliya Sokolovska +5 more
20152 citations
Semantic Scholar
A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data
Nataliya Sokolovska, O. Permiakova, S. Forslund, Jean-Daniel Zucker
2018IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition1 citations
Semantic Scholar
Continuous and Discrete Deep Classifiers for Data Integration
Nataliya Sokolovska, S. Rizkalla, K. Clément, Jean-Daniel Zucker
2015International Symposium on Intelligent Data Analysis1 citations
Semantic Scholar
False membership rate control in mixture models
Ariane Marandon, T. Rebafka, Étienne Roquain, Nataliya Sokolovska
20220 citations
Semantic Scholar
Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the σ-phase as an example
J. Crivello, Nataliya Sokolovska, J. Joubert
2020arXiv.org0 citations
Semantic Scholar
Learning Interpretable Models using Soft Integrity Constraints
Khaled Belahcène, Nataliya Sokolovska, Y. Chevaleyre, Jean-Daniel Zucker
2020Asian Conference on Machine Learning0 citations
Semantic Scholar
Robust structure measures of metabolic networks that predict prokaryotic environmental variables in the context of obesity and metabolic diseases
Adele Weber Zendrera, Nataliya Sokolovska, H. Soula
20190 citations Open access
Semantic Scholar
КЛАСИФІКАЦІЯ РЕГІОНІВ УКРАЇНИ ЗА РІВНЕМ ВИКОРИСТАННЯ ПОТЕНЦІАЛУ ЕНЕРГЕТИЧНОЇ БЕЗПЕКИ НА РЕГІОНАЛЬНОМУ ТА МІСЦЕВОМУ РІВНЯХ (ЗА МЕТОДОМ ІЄРАРХІЙ)
Nataliya Sokolovska
20190 citations Open access
Semantic Scholar

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