Dmitry I. Ignatov

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 72

Top Venues

Publications

Martin Waffo Kemgne, Blaise Blériot Koguep Njionou, Léonard Kwuida, Dmitry I. Ignatov
Shapley Values in Classification Problems with Triadic Formal Concept Analysis. CONCEPTS (2024)
Tianxing Man, Vasiliy Osipov, Nataly Zhukova, Alexey Nikolayevich Subbotin, Dmitry I. Ignatov
Neural networks for intelligent multilevel control of artificial and natural objects based on data fusion: A survey. Inf. Fusion 110 (2024)
Dmitry Lyutkin, Denis Pozdnyakov, Andrey Soloviev, Dmitry Zhukov, M. S. I. Malik, Dmitry I. Ignatov
Transformer-Based Classification of User Queries for Medical Consultancy. Autom. Remote. Control. 85 (3) (2024)
Muhammad Shahid Iqbal Malik, Aftab Nawaz, Mona Mamdouh Jamjoom, Dmitry I. Ignatov
Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness. Intell. Data Anal. 28 (4) (2024)
Muhammad Shahid Iqbal Malik, Muhammad Zeeshan Younas, Mona Mamdouh Jamjoom, Dmitry I. Ignatov
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model. PeerJ Comput. Sci. 10 (2024)
Dmitry I. Ignatov
On the Maximal Independence Polynomial of the Covering Graph of the Hypercube up to n=6. ICFCA (2023)
Muhammad Zeeshan Younas, Muhammad Shahid Iqbal Malik, Dmitry I. Ignatov
Automated defect identification for cell phones using language context, linguistic and smoke-word models. Expert Syst. Appl. 227 (2023)
Sergey Naumov, Marina Ananyeva, Oleg Lashinin, Sergey Kolesnikov, Dmitry I. Ignatov
Time-Dependent Next-Basket Recommendations. ECIR (2) (2023)
Dmitry Lyutkin, Andrey Soloviev, Dmitry Zhukov, Denis Pozdnyakov, Muhammad Shahid Iqbal Malik, Dmitry I. Ignatov
Transformer-based classification of user queries for medical consultancy with respect to expert specialization. CoRR (2023)
Muhammad Shahid Iqbal Malik, Uswa Cheema, Dmitry I. Ignatov
Contextual Embeddings based on Fine-tuned Urdu-BERT for Urdu threatening content and target identification. J. King Saud Univ. Comput. Inf. Sci. 35 (7) (2023)
Dmitry I. Ignatov
A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions. ICCS (2023)
Dmitry I. Ignatov
A Note on Counting Basic Choice Functions with Formal Concept Analysis. FCA4AI@IJCAI (2023)
Tianxing Man, Alexander Vodyaho, Dmitry I. Ignatov, Igor Kulikov, Nataly Zhukova
Synthesis of multilevel knowledge graphs: Methods and technologies for dynamic networks. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Muhammad Shahid Iqbal Malik, Anna Nazarova, Mona Mamdouh Jamjoom, Dmitry I. Ignatov
Multilingual hope speech detection: A Robust framework using transfer learning of fine-tuning RoBERTa model. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Dmitry I. Ignatov
Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalities. AIST (2023)
Dmitry I. Ignatov
On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom. CoRR (2022)
Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov
Towards Interaction-based User Embeddings in Sequential Recommender Models. ORSUM@RecSys (2022)
Aleksandr Petrov, Ildar Safilo, Daria Tikhonovich, Dmitry I. Ignatov
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. CoRR (2022)
Dmitry I. Ignatov, Léonard Kwuida
On Shapley value interpretability in concept-based learning with formal concept analysis. Ann. Math. Artif. Intell. 90 (11-12) (2022)
Dmitrii Egurnov, Dmitry I. Ignatov
Triclusters of Close Values for the Analysis of 3D Data. Autom. Remote. Control. 83 (6) (2022)
Léonard Kwuida, Dmitry I. Ignatov
On Interpretability and Similarity in Concept-Based Machine Learning. CoRR (2021)
Dmitry I. Ignatov, Alexandra Yakovleva
On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales. FCA4AI@IJCAI (2021)
Tianxing Man, Mikhail Lushnov, Dmitry I. Ignatov, Yulia A. Shichkina, Natalia Alexandrovna Zhukova, Alexander Ivanovich Vodyaho
An ontology-based approach to the analysis of the acid-base state of patients at operative measures. PeerJ Comput. Sci. 7 (2021)
Dmitry I. Ignatov, Polina Ivanova, Albina Zamaletdinova
Mixed Integer Programming for Searching Maximum Quasi-Bicliques. CoRR (2020)
Dmitry I. Ignatov, Léonard Kwuida
Interpretable Concept-Based Classification with Shapley Values. ICCS (2020)
Dmitry Egurnov, Dmitry I. Ignatov, Dmitry Tochilkin
Triclustering in Big Data Setting. CoRR (2020)
Léonard Kwuida, Dmitry I. Ignatov
On Interpretability and Similarity in Concept-Based Machine Learning. AIST (2020)
Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolic, Makhmud Shaban, Elizaveta A. Petrova, Evgeniya A. Koltsova, Fouzi Takelait, Dmitrii Egurnov
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data. CoRR (2020)
Dmitry I. Ignatov, Léonard Kwuida
Shapley and Banzhaf Vectors of a Formal Concept. CLA (2020)
Taisia Glushkova, Alexey Machnev, Alena Fenogenova, Tatiana Shavrina, Ekaterina Artemova, Dmitry I. Ignatov
DaNetQA: a yes/no Question Answering Dataset for the Russian Language. CoRR (2020)
Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolic, Makhmud Shaban, Elizaveta A. Petrova, Evgeniya A. Koltsova, Fouzi Takelait, Dmitrii Egurnov
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data. AIST (Supplement) (2020)
Taisia Glushkova, Alexey Machnev, Alena Fenogenova, Tatiana Shavrina, Ekaterina Artemova, Dmitry I. Ignatov
DaNetQA: A Yes/No Question Answering Dataset for the Russian Language. AIST (2020)
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
Compression of recurrent neural networks for efficient language modeling. Appl. Soft Comput. 79 (2019)
Maxim Kodryan, Artem M. Grachev, Dmitry I. Ignatov, Dmitry P. Vetrov
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. RepL4NLP@ACL (2019)
Dmitry I. Ignatov
Preliminary Results on Mixed Integer Programming for Searching Maximum Quasi-Bicliques and Large Dense Biclusters. ICFCA (Supplements) (2019)
Dmitry I. Ignatov, Dmitry Tochilkin, Dmitry Egurnov
Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited. ICFCA (Supplements) (2019)
Dmitrii Egurnov, Dmitry I. Ignatov
Triclustring Toolbox. ICFCA (Supplements) (2019)
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
Compression of Recurrent Neural Networks for Efficient Language Modeling. CoRR (2019)
Elena Andreeva, Dmitry I. Ignatov, Artem M. Grachev, Andrey V. Savchenko
Extraction of Visual Features for Recommendation of Products via Deep Learning. AIST (2018)
Vladimir Kursitys, Dmitry I. Ignatov
Understanding Collaborative Filtering with Galois Connections. FCA4AI@IJCAI (2018)
Dmitry I. Ignatov, Konstantin Sinkov, Pavel Spesivtsev, Ivan Vrabie, Vladimir Zyuzin
Tree-Based Ensembles for Predicting the Bottomhole Pressure of Oil and Gas Well Flows. AIST (2018)
Anastasia Feygina, Dmitry I. Ignatov, Ilya Makarov
Realistic post-processing of rendered 3D scenes. SIGGRAPH Posters (2018)
Dmitry I. Ignatov
On closure operators related to maximal tricliques in tripartite hypergraphs. Discret. Appl. Math. 249 (2018)
Vasiliy Rubtsov, Mikhail Kamenshchikov, Ilya Valyaev, Vasiliy Leksin, Dmitry I. Ignatov
A hybrid two-stage recommender system for automatic playlist continuation. RecSys Challenge (2018)
Dmitrii Egurnov, Dmitry I. Ignatov, Engelbert Mephu Nguifo
On Containment of Triclusters Collections Generated by Quantified Box Operators. ISMIS (2017)
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
Neural Networks Compression for Language Modeling. PReMI (2017)
Mikhail V. Goubko, Sergei O. Kuznetsov, Alexey A. Neznanov, Dmitry I. Ignatov
Bayesian Learning of Consumer Preferences for Residential Demand Response. CoRR (2017)
Maxim Yurov, Dmitry I. Ignatov
Turning Krimp into a Triclustering Technique on Sets of Attribute-Condition Pairs that Compress. IJCRS (2) (2017)
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
Neural Networks Compression for Language Modeling. CoRR (2017)
Ilya Makarov, Dmitry Savostyanov, Boris Litvyakov, Dmitry I. Ignatov
Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games. AIST (2017)
Dmitry I. Ignatov, Alexander Semenov, Daria Komissarova, Dmitry V. Gnatyshak
Multimodal Clustering for Community Detection. CoRR (2017)
Dmitry I. Ignatov, Bruce W. Watson
Towards a Unified Taxonomy of Biclustering Methods. CoRR (2017)
Dmitry I. Ignatov
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields. CoRR (2017)
Alexander Kotov, Elena Treshcheva, Leonid Bessonov, Dmitry I. Ignatov, Yana Volkovich, Maria Eskevich, Pavel Braslavski
10th Russian Summer School in Information Retrieval (RuSSIR 2016). SIGIR Forum 50 (2) (2016)
Vladimir Bobrikov, Elena Nenova, Dmitry I. Ignatov
What is a Fair Value of Your Recommendation List? EEML@CLA (2016)
Rustam Tagiew, Dmitry I. Ignatov
Gift Ratios in Laboratory Experiments. EEML@CLA (2016)
Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Jonas Poelmans
Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling. Expert Syst. Appl. 55 (2016)
Dmitry I. Ignatov
Towards a closure operator for enumeration of maximal tricliques in tripartite hypergraphs. CoRR (2016)
Artem Bocharov, Dmitry Gnatyshak, Dmitry I. Ignatov, Boris G. Mirkin, Andrey Shestakov
A Lattice-based Consensus Clustering Algorithm. CLA (2016)
Danil Gizdatullin, Jaume Baixeries, Dmitry I. Ignatov, Ekaterina Mitrofanova, Anna Muratova, Thomas H. Espy
Learning Interpretable Prefix-Based Patterns from Demographic Sequences. IDP (2016)
Dmitry I. Ignatov, Dmitry V. Gnatyshak, Sergei O. Kuznetsov, Boris G. Mirkin
Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. Mach. Learn. 101 (1-3) (2015)
Pavel Braslavski, Ilya Markov, Panos M. Pardalos, Yana Volkovich, Sergei Koltsov, Olessia Koltsova, Dmitry I. Ignatov
9th Russian Summer School in Information Retrieval (RuSSIR 2015). SIGIR Forum 49 (2) (2015)
Sheikh Muhammad Sarwar, Mahamudul Hasan, Masum Billal, Dmitry I. Ignatov
Similarity Aggregation for Collaborative Filtering. AIST (2015)
Rustam Tagiew, Dmitry I. Ignatov, Radhakrishnan Delhibabu
Economics of Internet-Based Hospitality Exchange. WI-IAT (1) (2015)
Marat Akhmatnurov, Dmitry I. Ignatov
Context-Aware Recommender System Based on Boolean Matrix Factorisation. CLA (2015)
Rustam Tagiew, Dmitry I. Ignatov, Radhakrishnan Delhibabu
Hospitality Exchange Services as a Source of Spatial and Social Data? ICDM Workshops (2015)
Sergey Zudin, Dmitry V. Gnatyshak, Dmitry I. Ignatov
Putting OAC-triclustering on MapReduce. CLA (2015)
Dmitry I. Ignatov, Denis Kornilov
RAPS: A Recommender Algorithm Based on Pattern Structures. CoRR (2015)
Sheikh Muhammad Sarwar, Mahamudul Hasan, Dmitry I. Ignatov
Two-stage Cascaded Classifier for Purchase Prediction. CoRR (2015)
Dmitry I. Ignatov, Ekaterina Mitrofanova, Anna Muratova, Danil Gizdatullin
Pattern Mining and Machine Learning for Demographic Sequences. KESW (2015)
Dmitry I. Ignatov, Denis Kornilov
RAPS: A Recommender Algorithm Based on Pattern Structures. FCA4AI@IJCAI (2015)
Yury Kashnitsky, Dmitry I. Ignatov
Can FCA-based Recommender System Suggest a Proper Classifier? CoRR (2015)
Dmitry I. Ignatov, Elena Nenova, Natalia Konstantinova, Andrey V. Konstantinov
Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach. AIMSA (2014)
Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Natalia Konstantinova, Alexander Malyukov, Jonas Poelmans
FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology. ICCS (2014)
Roman Zhuk, Dmitry I. Ignatov, Natalia Konstantinova
Concept Learning from Triadic Data. ITQM (2014)
Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene
Fuzzy and rough formal concept analysis: a survey. Int. J. Gen. Syst. 43 (2) (2014)
Dmitry I. Ignatov, Maria Mikhailova, Alexandra Yu. Zakirova, Alexander Malioukov
Recommendation of Ideas and Antagonists for Crowdsourcing Platform Witology. RuSSIR (2014)
Rustam Tagiew, Dmitry I. Ignatov
Reciprocity in Gift-Exchange-Games. CoRR (2014)
Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Natalia Konstantinova, Andrey V. Konstantinov
Recommender System for Crowdsourcing Platform Witology. WI-IAT (2) (2014)
Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, Lhouari Nourine
A One-pass Triclustering Approach: Is There any Room for Big Data? CLA (2014)
Rustam Tagiew, Dmitry I. Ignatov, Fadi Amroush
Experimental economics for web mining. CoRR (2014)
Dmitry I. Ignatov
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields. RuSSIR (2014)
Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Natalia Konstantinova
Online Recommender System for Radio Station Hosting: Experimental Results Revisited. WI-IAT (2) (2014)
Pavel Braslavski, Nikolay Karpov, Marcel Worring, Yana Volkovich, Dmitry I. Ignatov
8th Russian Summer School in Information Retrieval (RuSSIR 2014). SIGIR Forum 48 (2) (2014)
Dmitry I. Ignatov, Roman Zhuk, Natalia Konstantinova
Learning Hypotheses from Triadic Labeled Data. WI-IAT (1) (2014)
Yury Kashnitsky, Dmitry I. Ignatov
Can FCA-based Recommender System Suggest a Proper Classifier? FCA4AI@ECAI (2014)
Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene
Formal concept analysis in knowledge processing: A survey on applications. Expert Syst. Appl. 40 (16) (2013)
Elena Nenova, Dmitry I. Ignatov, Andrey V. Konstantinov
An FCA-based Boolean Matrix Factorisation for Collaborative Filtering. CoRR (2013)
Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov
From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. CLA (2013)
Dmitry I. Ignatov, Andrey V. Konstantinov, Yana Chubis
Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach. ECIR (2013)
Anastasya A. Bezzubtseva, Dmitry I. Ignatov
A Typology of Collaboration Platform Users. CoRR (2013)
Anastasia A. Bezzubtseva, Dmitry I. Ignatov
The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe. ICDM Workshops (2013)
Rustam Tagiew, Dmitry I. Ignatov, Fadi Amroush
Social Learning in Networks: Extraction of Deterministic Rules. ICDM Workshops (2013)
Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Anastasya A. Bezzubtseva, Andrey V. Konstantinov, Jonas Poelmans
FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platforms. ICCS (2013)
Hideo Joho, Dmitry I. Ignatov
Doctoral Consortium at ECIR 2013. ECIR (2013)
Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene
Formal Concept Analysis in knowledge processing: A survey on models and techniques. Expert Syst. Appl. 40 (16) (2013)
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov
Can triconcepts become triclusters? Int. J. Gen. Syst. 42 (6) (2013)
Dmitry I. Ignatov, Andrey V. Konstantinov, Sergey I. Nikolenko, Jonas Poelmans, Vasily Zaharchuk
Online Recommender System for Radio Station Hosting. BIR (2012)
Dmitry Gnatyshak, Dmitry I. Ignatov, Alexander Semenov, Jonas Poelmans
Gaining Insight in Social Networks with Biclustering and Triclustering. BIR (2012)
Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans
Concept-Based Biclustering for Internet Advertisement. ICDM Workshops (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dmitry I. Ignatov