Frequent Itemset Mining for Clustering Near Duplicate Web Documents. - Dmitry I. Ignatov; Sergei O. Kuznetsov (ICCS, 2009)

Concept Stability for Constructing Taxonomies of Web-site Users - Sergei O. Kuznetsov; Dmitry I. Ignatov (CoRR, 2009)

Concept-based Recommendations for Internet Advertisement - Dmitry I. Ignatov; Sergei O. Kuznetsov (CoRR, 2009)

What Can Closed Sets of Students and Their Marks Say? - Dmitry I. Ignatov; Serafima Mamedova; Nikita Romashkin; Ivan Shamshurin (EDM, 2011)

How University Entrants are Choosing Their Department? Mining of University Admission Process with FCA Taxonomies. - Nikita Romashkin; Dmitry I. Ignatov; Elena Kolotova (EDM, 2011)

From Triconcepts to Triclusters. - Dmitry I. Ignatov; Sergei O. Kuznetsov; Ruslan A. Magizov; Leonid E. Zhukov (RSFDGrC, 2011)

Gaining Insight in Social Networks with Biclustering and Triclustering. - Dmitry Gnatyshak; Dmitry I. Ignatov; Alexander Semenov; Jonas Poelmans (BIR, 2012)

Online Recommender System for Radio Station Hosting. - Dmitry I. Ignatov; Andrey V. Konstantinov; Sergey I. Nikolenko; Jonas Poelmans; Vasily Zaharchuk (BIR, 2012)

Concept-Based Biclustering for Internet Advertisement. - Dmitry I. Ignatov; Sergei O. Kuznetsov; Jonas Poelmans (ICDM Workshops, 2012)

Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. - Jonas Poelmans; Dmitry I. Ignatov; Stijn Viaene; Guido Dedene; Sergei O. Kuznetsov (ICDM, 2012)

A New Cross-Validation Technique to Evaluate Quality of Recommender Systems. - Dmitry I. Ignatov; Jonas Poelmans; Guido Dedene; Stijn Viaene (PerMIn, 2012)

Recommender System Based on Algorithm of Bicluster Analysis RecBi - Dmitry I. Ignatov; Jonas Poelmans; Vasily Zaharchuk (CoRR, 2012)

Concept Relation Discovery and Innovation Enabling Technology (CORDIET) - Jonas Poelmans; Paul Elzinga; Alexey Neznanov; Stijn Viaene; Sergei O. Kuznetsov; Dmitry I. Ignatov; Guido Dedene (CoRR, 2012)

Semi-automated knowledge discovery: identifying and profiling human trafficking. - Jonas Poelmans; Paul Elzinga; Dmitry I. Ignatov; Sergei O. Kuznetsov (Int. J. Gen. Syst., 2012)

From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. - Dmitry Gnatyshak; Dmitry I. Ignatov; Sergei O. Kuznetsov (CLA, 2013)

Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach. - Dmitry I. Ignatov; Andrey V. Konstantinov; Yana Chubis (ECIR, 2013)

Doctoral Consortium at ECIR 2013. - Hideo Joho; Dmitry I. Ignatov (ECIR, 2013)

FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms. - Dmitry I. Ignatov; Alexandra Yu. Kaminskaya; Anastasya A. Bezzubtseva; Andrey V. Konstantinov; Jonas Poelmans (ICCS, 2013)

The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe. - Anastasia A. Bezzubtseva; Dmitry I. Ignatov (ICDM Workshops, 2013)

Social Learning in Networks: Extraction of Deterministic Rules. - Rustam Tagiew; Dmitry I. Ignatov; Fadi Amroush (ICDM Workshops, 2013)

A Typology of Collaboration Platform Users. - Anastasya A. Bezzubtseva; Dmitry I. Ignatov (CoRR, 2013)

An FCA-based Boolean Matrix Factorisation for Collaborative Filtering. - Elena Nenova; Dmitry I. Ignatov; Andrey V. Konstantinov (CoRR, 2013)

Formal concept analysis in knowledge processing: A survey on applications. - Jonas Poelmans; Dmitry I. Ignatov; Sergei O. Kuznetsov; Guido Dedene (Expert Syst. Appl., 2013)

Formal Concept Analysis in knowledge processing: A survey on models and techniques. - Jonas Poelmans; Sergei O. Kuznetsov; Dmitry I. Ignatov; Guido Dedene (Expert Syst. Appl., 2013)

Can triconcepts become triclusters? - Dmitry I. Ignatov; Sergei O. Kuznetsov; Jonas Poelmans; Leonid E. Zhukov (Int. J. Gen. Syst., 2013)

Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach. - Dmitry I. Ignatov; Elena Nenova; Natalia Konstantinova; Andrey V. Konstantinov (AIMSA, 2014)

A One-pass Triclustering Approach: Is There any Room for Big Data? - Dmitry Gnatyshak; Dmitry I. Ignatov; Sergei O. Kuznetsov; Lhouari Nourine (CLA, 2014)

Can FCA-based Recommender System Suggest a Proper Classifier? - Yury Kashnitsky; Dmitry I. Ignatov (FCA4AI@ECAI, 2014)

FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology. - Dmitry I. Ignatov; Alexandra Yu. Kaminskaya; Natalia Konstantinova; Alexander Malyukov; Jonas Poelmans (ICCS, 2014)

Concept Learning from Triadic Data. - Roman Zhuk; Dmitry I. Ignatov; Natalia Konstantinova (ITQM, 2014)

Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields. - Dmitry I. Ignatov (RuSSIR, 2014)

Recommendation of Ideas and Antagonists for Crowdsourcing Platform Witology. - Dmitry I. Ignatov; Maria Mikhailova; Alexandra Yu. Zakirova; Alexander Malioukov (RuSSIR, 2014)

Recommender System for Crowdsourcing Platform Witology. - Dmitry I. Ignatov; Alexandra Yu. Kaminskaya; Natalia Konstantinova; Andrey V. Konstantinov (WI-IAT (2), 2014)

Online Recommender System for Radio Station Hosting: Experimental Results Revisited. - Dmitry I. Ignatov; Sergey I. Nikolenko; Taimuraz Abaev; Natalia Konstantinova (WI-IAT (2), 2014)

Learning Hypotheses from Triadic Labeled Data. - Dmitry I. Ignatov; Roman Zhuk; Natalia Konstantinova (WI-IAT (1), 2014)

Reciprocity in Gift-Exchange-Games. - Rustam Tagiew; Dmitry I. Ignatov (CoRR, 2014)

Experimental economics for web mining. - Rustam Tagiew; Dmitry I. Ignatov; Fadi Amroush (CoRR, 2014)

Fuzzy and rough formal concept analysis: a survey. - Jonas Poelmans; Dmitry I. Ignatov; Sergei O. Kuznetsov; Guido Dedene (Int. J. Gen. Syst., 2014)

8th Russian Summer School in Information Retrieval (RuSSIR 2014). - Pavel Braslavski 001; Nikolay Karpov; Marcel Worring; Yana Volkovich; Dmitry I. Ignatov (SIGIR Forum, 2014)

Similarity Aggregation for Collaborative Filtering. - Sheikh Muhammad Sarwar; Mahamudul Hasan; Masum Billal; Dmitry I. Ignatov (AIST, 2015)

Context-Aware Recommender System Based on Boolean Matrix Factorisation. - Marat Akhmatnurov; Dmitry I. Ignatov (CLA, 2015)

Putting OAC-triclustering on MapReduce. - Sergey Zudin; Dmitry V. Gnatyshak; Dmitry I. Ignatov (CLA, 2015)

Hospitality Exchange Services as a Source of Spatial and Social Data? - Rustam Tagiew; Dmitry I. Ignatov; Radhakrishnan Delhibabu (ICDM Workshops, 2015)

RAPS: A Recommender Algorithm Based on Pattern Structures. - Dmitry I. Ignatov; Denis Kornilov (FCA4AI@IJCAI, 2015)

Pattern Mining and Machine Learning for Demographic Sequences. - Dmitry I. Ignatov; Ekaterina Mitrofanova; Anna Muratova; Danil Gizdatullin (KESW, 2015)

Economics of Internet-Based Hospitality Exchange. - Rustam Tagiew; Dmitry I. Ignatov; Radhakrishnan Delhibabu (WI-IAT (1), 2015)

Two-stage Cascaded Classifier for Purchase Prediction. - Sheikh Muhammad Sarwar; Mahamudul Hasan; Dmitry I. Ignatov (CoRR, 2015)

Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. - Dmitry I. Ignatov; Dmitry V. Gnatyshak; Sergei O. Kuznetsov; Boris G. Mirkin (Mach. Learn., 2015)

9th Russian Summer School in Information Retrieval (RuSSIR 2015). - Pavel Braslavski 001; Ilya Markov; Panos M. Pardalos; Yana Volkovich; Sergei Koltsov; Olessia Koltsova; Dmitry I. Ignatov (SIGIR Forum, 2015)

What is a Fair Value of Your Recommendation List? - Vladimir Bobrikov; Elena Nenova; Dmitry I. Ignatov (EEML@CLA, 2016)

A Lattice-based Consensus Clustering Algorithm. - Artem Bocharov; Dmitry Gnatyshak; Dmitry I. Ignatov; Boris G. Mirkin; Andrey Shestakov (CLA, 2016)

Gift Ratios in Laboratory Experiments. - Rustam Tagiew; Dmitry I. Ignatov (EEML@CLA, 2016)

Learning Interpretable Prefix-Based Patterns from Demographic Sequences. - Danil Gizdatullin; Jaume Baixeries; Dmitry I. Ignatov; Ekaterina Mitrofanova; Anna Muratova; Thomas H. Espy (IDP, 2016)

Towards a closure operator for enumeration of maximal tricliques in tripartite hypergraphs. - Dmitry I. Ignatov (CoRR, 2016)

Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling. - Dmitry I. Ignatov; Sergey I. Nikolenko; Taimuraz Abaev; Jonas Poelmans (Expert Syst. Appl., 2016)

10th Russian Summer School in Information Retrieval (RuSSIR 2016). - Alexander Kotov 001; Elena Treshcheva; Leonid Bessonov; Dmitry I. Ignatov; Yana Volkovich; Maria Eskevich; Pavel Braslavski 001 (SIGIR Forum, 2016)

Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games. - Ilya Makarov; Dmitry Savostyanov; Boris Litvyakov; Dmitry I. Ignatov (AIST, 2017)

On Containment of Triclusters Collections Generated by Quantified Box Operators. - Dmitrii Egurnov; Dmitry I. Ignatov; Engelbert Mephu Nguifo (ISMIS, 2017)

Neural Networks Compression for Language Modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (PReMI, 2017)

Turning Krimp into a Triclustering Technique on Sets of Attribute-Condition Pairs that Compress. - Maxim Yurov; Dmitry I. Ignatov (IJCRS (2), 2017)

Bayesian Learning of Consumer Preferences for Residential Demand Response. - Mikhail V. Goubko; Sergei O. Kuznetsov; Alexey A. Neznanov; Dmitry I. Ignatov (CoRR, 2017)

Multimodal Clustering for Community Detection. - Dmitry I. Ignatov; Alexander Semenov; Daria Komissarova; Dmitry V. Gnatyshak (CoRR, 2017)

Towards a Unified Taxonomy of Biclustering Methods. - Dmitry I. Ignatov; Bruce W. Watson (CoRR, 2017)

Multimodal Clustering for Community Detection. - Dmitry I. Ignatov; Alexander Semenov; Daria Komissarova; Dmitry V. Gnatyshak (Formal Concept Analysis of Social Networks, 2017)

Extraction of Visual Features for Recommendation of Products via Deep Learning. - Elena Andreeva 002; Dmitry I. Ignatov; Artem M. Grachev; Andrey V. Savchenko (AIST, 2018)

Tree-Based Ensembles for Predicting the Bottomhole Pressure of Oil and Gas Well Flows. - Dmitry I. Ignatov; Konstantin Sinkov; Pavel Spesivtsev; Ivan Vrabie; Vladimir Zyuzin (AIST, 2018)

Understanding Collaborative Filtering with Galois Connections. - Vladimir Kursitys; Dmitry I. Ignatov (FCA4AI@IJCAI, 2018)

A hybrid two-stage recommender system for automatic playlist continuation. - Vasiliy Rubtsov; Mikhail Kamenshchikov; Ilya Valyaev; Vasily A. Leksin; Dmitry I. Ignatov (RecSys Challenge, 2018)

Realistic post-processing of rendered 3D scenes. - Anastasia Feygina; Dmitry I. Ignatov; Ilya Makarov (SIGGRAPH Posters, 2018)

On closure operators related to maximal tricliques in tripartite hypergraphs. - Dmitry I. Ignatov (Discret. Appl. Math., 2018)

Triclustring Toolbox. - Dmitrii Egurnov; Dmitry I. Ignatov (ICFCA (Supplements), 2019)

Preliminary Results on Mixed Integer Programming for Searching Maximum Quasi-Bicliques and Large Dense Biclusters. - Dmitry I. Ignatov (ICFCA (Supplements), 2019)

Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited. - Dmitry I. Ignatov; Dmitry Tochilkin; Dmitry Egurnov (ICFCA (Supplements), 2019)

Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. - Maxim Kodryan; Artem M. Grachev; Dmitry I. Ignatov; Dmitry P. Vetrov (RepL4NLP@ACL, 2019)

Compression of recurrent neural networks for efficient language modeling. - Artem M. Grachev; Dmitry I. Ignatov; Andrey V. Savchenko (Appl. Soft Comput., 2019)

DaNetQA: A Yes/No Question Answering Dataset for the Russian Language. - Taisia Glushkova; Alexey Machnev; Alena Fenogenova; Tatiana Shavrina; Ekaterina Artemova; Dmitry I. Ignatov (AIST, 2020)

Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data. - Dmitry I. Ignatov; Gennady V. Khvorykh; Andrey V. Khrunin; Stefan Nikolic 002; Makhmud Shaban; Elizaveta A. Petrova; Evgeniya A. Koltsova; Fouzi Takelait; Dmitrii Egurnov (AIST (Supplement), 2020)

On Interpretability and Similarity in Concept-Based Machine Learning. - Léonard Kwuida; Dmitry I. Ignatov (AIST, 2020)

Shapley and Banzhaf Vectors of a Formal Concept. - Dmitry I. Ignatov; Léonard Kwuida (CLA, 2020)

Interpretable Concept-Based Classification with Shapley Values. - Dmitry I. Ignatov; Léonard Kwuida (ICCS, 2020)

Mixed Integer Programming for Searching Maximum Quasi-Bicliques. - Dmitry I. Ignatov; Polina Ivanova; Albina Zamaletdinova (CoRR, 2020)

Triclustering in Big Data Setting. - Dmitry Egurnov; Dmitry I. Ignatov; Dmitry Tochilkin (CoRR, 2020)

On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales. - Dmitry I. Ignatov; Alexandra Yakovleva (FCA4AI@IJCAI, 2021)

An ontology-based approach to the analysis of the acid-base state of patients at operative measures. - Tianxing Man; Mikhail Lushnov; Dmitry I. Ignatov; Yulia A. Shichkina; Natalia Alexandrovna Zhukova; Alexander Ivanovich Vodyaho (PeerJ Comput. Sci., 2021)

Triclustering in Big Data Setting. - Dmitry Egurnov; Dmitry I. Ignatov; Dmitry Tochilkin (Complex Data Analytics with Formal Concept Analysis, 2022)

Towards Interaction-based User Embeddings in Sequential Recommender Models. - Marina Ananyeva; Oleg Lashinin; Veronika Ivanova; Sergey Kolesnikov; Dmitry I. Ignatov (ORSUM@RecSys, 2022)

Triclusters of Close Values for the Analysis of 3D Data. - Dmitrii Egurnov; Dmitry I. Ignatov (Autom. Remote. Control., 2022)

On Shapley value interpretability in concept-based learning with formal concept analysis. - Dmitry I. Ignatov; Léonard Kwuida (Ann. Math. Artif. Intell., 2022)

MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. - Aleksandr V. Petrov; Ildar Safilo; Daria Tikhonovich; Dmitry I. Ignatov (CoRR, 2022)

On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom. - Dmitry I. Ignatov (CoRR, 2022)

Acne Recognition: Training Models with Experts. - Stefan Nikolic 002; Dmitry I. Ignatov; Peter Fedorov (AIST (Supplement), 2023)

Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalities. - Dmitry I. Ignatov (AIST, 2023)

Approximate Density Computation for OA-Biclustering. - Dmitry I. Ignatov; Daria Komissarova; Kamila Usmanova; Stefan Nikolic 002; Andrey V. Khrunin; Gennady V. Khvorykh (AIST (Supplement), 2023)

Development of a Visualization Tool for the Occurrence of Life Events on the Demographic Lexis Grid. - Ekaterina Mitrofanova; Dmitry I. Ignatov; Tatyana Maximova; Anna Podshivalova; Anna Muratova (AIST (Supplement), 2023)

Time-Dependent Next-Basket Recommendations. - Sergey Naumov; Marina Ananyeva; Oleg Lashinin; Sergey Kolesnikov; Dmitry I. Ignatov (ECIR (2), 2023)

A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions. - Dmitry I. Ignatov (ICCS, 2023)

On the Maximal Independence Polynomial of the Covering Graph of the Hypercube up to n=6. - Dmitry I. Ignatov (ICFCA, 2023)

A Note on Counting Basic Choice Functions with Formal Concept Analysis. - Dmitry I. Ignatov (FCA4AI@IJCAI, 2023)

Transformer-based classification of user queries for medical consultancy with respect to expert specialization. - Dmitry Lyutkin; Andrey Soloviev; Dmitry Zhukov; Denis Pozdnyakov; Muhammad Shahid Iqbal Malik; Dmitry I. Ignatov (CoRR, 2023)

Synthesis of multilevel knowledge graphs: Methods and technologies for dynamic networks. - Tianxing Man; Alexander Vodyaho; Dmitry I. Ignatov; Igor Kulikov 002; Nataly Zhukova (Eng. Appl. Artif. Intell., 2023)

Contextual Embeddings based on Fine-tuned Urdu-BERT for Urdu threatening content and target identification. - Muhammad Shahid Iqbal Malik; Uswa Cheema; Dmitry I. Ignatov (J. King Saud Univ. Comput. Inf. Sci., 2023)

Multilingual hope speech detection: A Robust framework using transfer learning of fine-tuning RoBERTa model. - Muhammad Shahid Iqbal Malik; Anna Nazarova; Mona Mamdouh Jamjoom; Dmitry I. Ignatov (J. King Saud Univ. Comput. Inf. Sci., 2023)

Automated defect identification for cell phones using language context, linguistic and smoke-word models. - Muhammad Zeeshan Younas; Muhammad Shahid Iqbal Malik; Dmitry I. Ignatov (Expert Syst. Appl., 2023)

Shapley Values in Classification Problems with Triadic Formal Concept Analysis. - Martin Waffo Kemgne; Blaise Blériot Koguep Njionou; Léonard Kwuida; Dmitry I. Ignatov (CONCEPTS, 2024)

When Contranominal Scales Give a Solution to the Zarankiewicz Problem? - Dmitry I. Ignatov (FCA4AI@ECAI, 2024)

Transformer-Based Classification of User Queries for Medical Consultancy. - Dmitry Lyutkin; Denis Pozdnyakov; Andrey Soloviev; Dmitry Zhukov; M. S. I. Malik; Dmitry I. Ignatov (Autom. Remote. Control., 2024)

Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness. - Muhammad Shahid Iqbal Malik; Aftab Nawaz; Mona Mamdouh Jamjoom; Dmitry I. Ignatov (Intell. Data Anal., 2024)

Neural networks for intelligent multilevel control of artificial and natural objects based on data fusion: A survey. - Tianxing Man; Vasiliy Osipov; Nataly Zhukova; Alexey Nikolayevich Subbotin; Dmitry I. Ignatov (Inf. Fusion, 2024)

Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model. - Muhammad Shahid Iqbal Malik; Muhammad Zeeshan Younas; Mona Mamdouh Jamjoom; Dmitry I. Ignatov (PeerJ Comput. Sci., 2024)

Genome-wide association studies of ischemic stroke based on interpretable machine learning. - Stefan Nikolic 002; Dmitry I. Ignatov; Gennady V. Khvorykh; Svetlana A. Limborska; Andrey V. Khrunin (PeerJ Comput. Sci., 2024)

Deepthreatexplainer: a united explainable predictor for threat comments identification on Twitter. - Anna Nazarova; Muhammad Shahid Iqbal Malik; Dmitry I. Ignatov; Ibrar Hussain 001 (Soc. Netw. Anal. Min., 2024)

Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles. - Sergei S. Gorshkov; Dmitry I. Ignatov; Anastasia Yu. Chernysheva (IEEE Access, 2025)

Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques. - Sergei S. Gorshkov; Dmitry I. Ignatov; Anastasia Yu. Chernysheva; Vyacheslav L. Goiko; Vitaliy V. Kashpur (IEEE Access, 2025)

Bitcoin Ordinals: Bitcoin Price and Transaction Fee Rate Predictions. - Minxing Wang; Pavel Braslavski 001; Vyacheslav Manevich; Dmitry I. Ignatov (IEEE Access, 2025)

Run time dynamic digital twins and dynamic digital twins networks. - Alexander Vodyaho; Radhakrishnan Delhibabu; Dmitry I. Ignatov; Nataly Zhukova (Future Gener. Comput. Syst., 2025)

Cooperative games with fuzzy characteristic functions on concept lattices. - Martin Waffo Kemgne; Blaise Blériot Koguep Njionou; Dmitry I. Ignatov; Léonard Kwuida (Int. J. Approx. Reason., 2025)