Quantifying Uncertainty in Phylogenetic Studies of the Slavonic Languages. - Diana Nurbakova; Sergey Rusakov 002; Vassil Alexandrov 001 (ICCS, 2013)

ANASTASIA : recommandation de séquences d'activités spatiotemporelles. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (CORIA-CIFED, 2016)

Recommendation of Short-Term Activity Sequences During Distributed Events. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (ICCS, 2017)

Recommender systems for citizens: the CitRec'17 workshop manifesto. - Jie Yang 028; Iván Cantador; Diana Nurbakova; María E. Cortés-Cediel; Alessandro Bozzon (CitRec@RecSys, 2017)

Itinerary Recommendation for Cruises: User Study. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (RecTour@RecSys, 2017)

Users psychological profiles for leisure activity recommendation: user study. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (CitRec@RecSys, 2017)

Recommandation de séquences d'activités lors d'événements distribués. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (CORIA, 2018)

Recommendation of Activity Sequences during Distributed Events. - Diana Nurbakova (UMAP, 2018)

Recommendation of Activity Sequences during Distributed Events. (Recommandation de séquences d'activités lors d'événements distribués). - Diana Nurbakova (2018)

SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2019)

DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries. - Diana Nurbakova; Léa Laporte; Sylvie Calabretto; Jérôme Gensel (HICSS, 2019)

Understanding the Personality of Contributors to Information Cascades in Social Media in Response to the COVID-19 Pandemic. - Diana Nurbakova; Liana Ermakova; Irina Ovchinnikova (ICDM (Workshops), 2020)

Deal Closure Prediction based on User's Browsing Behaviour of Sales Content. - Diana Nurbakova; Timothée Saumet (ICDM (Workshops), 2020)

Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (SIGIR, 2020)

Overview of SimpleText CLEF 2021 Workshop and Pilot Tasks. - Liana Ermakova; Patrice Bellot; Pavel Braslavski 001; Jaap Kamps; Josiane Mothe; Diana Nurbakova; Irina Ovchinnikova; Eric SanJuan (CLEF (Working Notes), 2021)

Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access. - Liana Ermakova; Patrice Bellot; Pavel Braslavski 001; Jaap Kamps; Josiane Mothe; Diana Nurbakova; Irina Ovchinnikova; Eric SanJuan (CLEF, 2021)

What Science-Related Topics Need to Be Popularized? A Comparative Study. - Irina Ovchinnikova; Diana Nurbakova; Liana Ermakova (CLEF (Working Notes), 2021)

Anytime Subgroup Discovery in High Dimensional Numerical Data. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (DSAA, 2021)

Text Simplification for Scientific Information Access - CLEF 2021 SimpleText Workshop. - Liana Ermakova; Patrice Bellot; Pavel Braslavski 001; Jaap Kamps; Josiane Mothe; Diana Nurbakova; Irina Ovchinnikova; Eric SanJuan (ECIR (2), 2021)

Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (EGC, 2021)

Opposition politique et polarisation de groupe dans la discussion des traitements de la Covid-19 sur Twitter. - Liana Ermakova; Diana Nurbakova; Irina Ovchinnikova (EGC, 2021)

Extraction de signaux comportementaux d'utilisateur et prédiction de conclusion de vente. - Diana Nurbakova; Sylvie Calabretto; Timothée Saumet; Jialiang Wei (EGC, 2021)

Analysis of Users Engaged in Online Discussions about Controversial Covid-19 Treatments. - Liana Ermakova; Diana Nurbakova; Irina Ovchinnikova (UMAP (Adjunct Publication), 2021)

EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding. - Lu Gan 004; Diana Nurbakova; Léa Laporte; Sylvie Calabretto (WI/IAT, 2021)

Anytime mining of sequential discriminative patterns in labeled sequences. - Romain Mathonat; Diana Nurbakova; Jean-François Boulicaut; Mehdi Kaytoue (Knowl. Inf. Syst., 2021)

Overview of the CLEF 2022 SimpleText Task 2: Complexity Spotting in Scientific Abstracts. - Liana Ermakova; Irina Ovchinnikova; Jaap Kamps; Diana Nurbakova; Sílvia Araújo; Radia Hannachi (CLEF (Working Notes), 2022)

Overview of the CLEF 2022 SimpleText Task 3: Query Biased Simplification of Scientific Texts. - Liana Ermakova; Irina Ovchinnikova; Jaap Kamps; Diana Nurbakova; Sílvia Araújo; Radia Hannachi (CLEF (Working Notes), 2022)

Overview of the CLEF 2022 SimpleText Lab: Automatic Simplification of Scientific Texts. - Liana Ermakova; Eric SanJuan; Jaap Kamps; Stéphane Huet; Irina Ovchinnikova; Diana Nurbakova; Sílvia Araújo; Radia Hannachi; Élise Mathurin; Patrice Bellot (CLEF, 2022)

Automatic Simplification of Scientific Texts: SimpleText Lab at CLEF-2022. - Liana Ermakova; Patrice Bellot; Jaap Kamps; Diana Nurbakova; Irina Ovchinnikova; Eric SanJuan; Élise Mathurin; Sílvia Araújo; Radia Hannachi; Stéphane Huet; Nicolas Poinsu (ECIR (2), 2022)

Towards Adaptive and Personalised Recommendation for Healthy Food Promotion. - Diana Nurbakova; Felix Bölz; Audrey Serna; Jean Brignone (BehavRec@RecSys, 2023)

When Multiple Perspectives and an Optimization Process Lead to Better Performance, an Automatic Sexism Identification on Social Media With Pretrained Transformers in a Soft Label Context. - Johan Erbani; Elöd Egyed-Zsigmond; Diana Nurbakova; Pierre-Edouard Portier (CLEF (Working Notes), 2023)

HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation. - Felix Bölz; Diana Nurbakova; Sylvie Calabretto; Armin Gerl; Lionel Brunie; Harald Kosch (RecSys, 2023)

Adaptive and Privacy-Aware Persuasive Strategies to Promote Healthy Eating Habits: Position Paper. - Diana Nurbakova; Audrey Serna; Abdelbasset Omiri; Antoine Boutet (UMAP (Adjunct Publication), 2023)

Knowledge Graph-Based Recommendation System for Personalized E-Learning. - Duaa Baig; Diana Nurbakova; Baba Mbaye; Sylvie Calabretto (UMAP (Adjunct Publication), 2024)

Food KBQA Recommender: A Knowledge Base Question Answering System Powered Meal Plan Recommender. - Felix Bölz; Diana Nurbakova; Audrey Serna; Sylvie Calabretto; Lionel Brunie; Harald Kosch (WI/IAT, 2024)

Confusion Matrices: A Unified Theory. - Johan Erbani; Pierre-Edouard Portier; Elöd Egyed-Zsigmond; Diana Nurbakova (IEEE Access, 2024)

A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity. - Johan Erbani; Sonia Ben Mokhtar; Pierre-Edouard Portier; Elöd Egyed-Zsigmond; Diana Nurbakova (CoRR, 2025)