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Diana Nurbakova

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2020 – today

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2024
[c32]
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Duaa Baig, Diana Nurbakova, Baba Mbaye, Sylvie Calabretto:
Knowledge Graph-Based Recommendation System for Personalized E-Learning. UMAP (Adjunct Publication) 2024
2023
[c31]
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Diana Nurbakova, Felix Bölz, Audrey Serna, Jean Brignone:
Towards Adaptive and Personalised Recommendation for Healthy Food Promotion. BehavRec@RecSys 2023
[c30]
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Johan Erbani, Elöd Egyed-Zsigmond, Diana Nurbakova, Pierre-Edouard Portier:
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. CLEF (Working Notes) 2023: 908-918
[c29]
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Felix Bölz, Diana Nurbakova, Sylvie Calabretto, Armin Gerl, Lionel Brunie, Harald Kosch:
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation. RecSys 2023: 1-11
[c28]
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Diana Nurbakova, Audrey Serna, Abdelbasset Omiri, Antoine Boutet:
Adaptive and Privacy-Aware Persuasive Strategies to Promote Healthy Eating Habits: Position Paper. UMAP (Adjunct Publication) 2023: 129-131
2022
[c27]
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Liana Ermakova, Eric SanJuan, Jaap Kamps, Stéphane Huet, Irina Ovchinnikova, Diana Nurbakova, Sílvia Araújo, Radia Hannachi, Élise Mathurin, Patrice Bellot:
Overview of the CLEF 2022 SimpleText Lab: Automatic Simplification of Scientific Texts. CLEF 2022: 470-494
[c26]
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Liana Ermakova, Irina Ovchinnikova, Jaap Kamps, Diana Nurbakova, Sílvia Araújo, Radia Hannachi:
Overview of the CLEF 2022 SimpleText Task 2: Complexity Spotting in Scientific Abstracts. CLEF (Working Notes) 2022: 2773-2791
[c25]
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Liana Ermakova, Irina Ovchinnikova, Jaap Kamps, Diana Nurbakova, Sílvia Araújo, Radia Hannachi:
Overview of the CLEF 2022 SimpleText Task 3: Query Biased Simplification of Scientific Texts. CLEF (Working Notes) 2022: 2792-2804
[c24]
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Liana Ermakova, Patrice Bellot, Jaap Kamps, Diana Nurbakova, Irina Ovchinnikova, Eric SanJuan, Élise Mathurin, Sílvia Araújo, Radia Hannachi, Stéphane Huet, Nicolas Poinsu:
Automatic Simplification of Scientific Texts: SimpleText Lab at CLEF-2022. ECIR (2) 2022: 364-373
2021
[j1]
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Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime mining of sequential discriminative patterns in labeled sequences. Knowl. Inf. Syst. 63(2): 439-476 (2021)
[c23]
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Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, Diana Nurbakova, Irina Ovchinnikova, Eric SanJuan:
Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access. CLEF 2021: 432-449
[c22]
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Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, Diana Nurbakova, Irina Ovchinnikova, Eric SanJuan:
Overview of SimpleText CLEF 2021 Workshop and Pilot Tasks. CLEF (Working Notes) 2021: 2212-2227
[c21]
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Irina Ovchinnikova, Diana Nurbakova, Liana Ermakova:
What Science-Related Topics Need to Be Popularized? A Comparative Study. CLEF (Working Notes) 2021: 2242-2255
[c20]
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Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime Subgroup Discovery in High Dimensional Numerical Data. DSAA 2021: 1-10
[c19]
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Liana Ermakova, Patrice Bellot, Pavel Braslavski, Jaap Kamps, Josiane Mothe, Diana Nurbakova, Irina Ovchinnikova, Eric SanJuan:
Text Simplification for Scientific Information Access - CLEF 2021 SimpleText Workshop. ECIR (2) 2021: 583-592
[c18]
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Liana Ermakova, Diana Nurbakova, Irina Ovchinnikova:
Opposition politique et polarisation de groupe dans la discussion des traitements de la Covid-19 sur Twitter. EGC 2021: 229-236
[c17]
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Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances. EGC 2021: 365-372
[c16]
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Diana Nurbakova, Sylvie Calabretto, Timothée Saumet, Jialiang Wei:
Extraction de signaux comportementaux d'utilisateur et prédiction de conclusion de vente. EGC 2021: 511-512
[c15]
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Liana Ermakova, Diana Nurbakova, Irina Ovchinnikova:
Analysis of Users Engaged in Online Discussions about Controversial Covid-19 Treatments. UMAP (Adjunct Publication) 2021: 162-166
[c14]
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Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding. WI/IAT 2021: 17-24
2020
[c13]
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Diana Nurbakova, Liana Ermakova, Irina Ovchinnikova:
Understanding the Personality of Contributors to Information Cascades in Social Media in Response to the COVID-19 Pandemic. ICDM (Workshops) 2020: 45-52
[c12]
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Diana Nurbakova, Timothée Saumet:
Deal Closure Prediction based on User's Browsing Behaviour of Sales Content. ICDM (Workshops) 2020: 87-92
[c11]
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Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. SIGIR 2020: 2001-2004

2010 – 2019

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2019
[c10]
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Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences. DSAA 2019: 81-90
[c9]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries. HICSS 2019: 1-10
2018
[b1]
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Diana Nurbakova:
Recommendation of Activity Sequences during Distributed Events. (Recommandation de séquences d'activités lors d'événements distribués). INSA de Lyon, France, 2018
[c8]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
Recommandation de séquences d'activités lors d'événements distribués. CORIA 2018
[c7]
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Diana Nurbakova:
Recommendation of Activity Sequences during Distributed Events. UMAP 2018: 261-264
2017
[c6]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
Recommendation of Short-Term Activity Sequences During Distributed Events. ICCS 2017: 2069-2078
[c5]
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Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, Alessandro Bozzon:
Recommender systems for citizens: the CitRec'17 workshop manifesto. CitRec@RecSys 2017: 1:1-1:4
[c4]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
Users psychological profiles for leisure activity recommendation: user study. CitRec@RecSys 2017: 3:1-3:4
[c3]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
Itinerary Recommendation for Cruises: User Study. RecTour@RecSys 2017: 31-34
2016
[c2]
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Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel:
ANASTASIA : recommandation de séquences d'activités spatiotemporelles. CORIA-CIFED 2016: 325-334
2013
[c1]
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Diana Nurbakova, Sergey Rusakov, Vassil Alexandrov:
Quantifying Uncertainty in Phylogenetic Studies of the Slavonic Languages. ICCS 2013: 2269-2277

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