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ORCIDDmitry I. Ignatov
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- affiliation: Higher School of Economics, Moscow, Russia
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2020 – today
- 2025
[j28]Sergei S. Gorshkov
, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur:
Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques. IEEE Access 13: 962-979 (2025)- [j27]Minxing Wang, Pavel Braslavski, Vyacheslav Manevich, Dmitry I. Ignatov:
Bitcoin Ordinals: Bitcoin Price and Transaction Fee Rate Predictions. IEEE Access 13: 35478-35489 (2025) - [j26]Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva:
Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles. IEEE Access 13: 46732-46746 (2025) - [e29]Alexander Panchenko, Dmitry A. Gubanov, Mikhail Yu. Khachay, Andrey Kutuzov, Natalia V. Loukachevitch, Andrey Kuznetsov, Irina Nikishina, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Aida Kasieva, Dmitry I. Ignatov:
Analysis of Images, Social Networks and Texts - 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17-19, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15419, Springer 2025, ISBN 978-3-031-88035-3 [contents] - 2024
- [j25]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) - [j24]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): 1045-1065 (2024) - [j23]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: 102427 (2024) - [j22]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: e1859 (2024) - [j21]Stefan Nikolic, Dmitry I. Ignatov, Gennady V. Khvorykh, Svetlana A. Limborska, Andrey V. Khrunin:
Genome-wide association studies of ischemic stroke based on interpretable machine learning. PeerJ Comput. Sci. 10: e2454 (2024) - [j20]Anna Nazarova, Muhammad Shahid Iqbal Malik, Dmitry I. Ignatov, Ibrar Hussain:
Deepthreatexplainer: a united explainable predictor for threat comments identification on Twitter. Soc. Netw. Anal. Min. 14(1): 228 (2024) - [c66]Martin Waffo Kemgne, Blaise Blériot Koguep Njionou, Léonard Kwuida, Dmitry I. Ignatov:
Shapley Values in Classification Problems with Triadic Formal Concept Analysis. CONCEPTS 2024: 83-96 - [c65]Dmitry I. Ignatov:
When Contranominal Scales Give a Solution to the Zarankiewicz Problem? FCA4AI@ECAI 2024: 27-38 - [e28]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Recent Trends in Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, Revised Selected Papers. Communications in Computer and Information Science 1905, Springer 2024, ISBN 978-3-031-67007-7 [contents] - [e27]Dmitry I. Ignatov, Michael Yu. Khachay, Andrey Kutuzov, Habet Madoyan, Ilya Makarov, Irina Nikishina, Alexander Panchenko, Maxim Panov, Panos M. Pardalos, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina, Sergey Zagoruyko:
Analysis of Images, Social Networks and Texts - 11th International Conference, AIST 2023, Yerevan, Armenia, September 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14486, Springer 2024, ISBN 978-3-031-54533-7 [contents] - 2023
- [j19]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): 106244 (2023) - [j18]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: 120236 (2023) - [j17]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): 101606 (2023) - [j16]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): 101736 (2023) - [c64]Stefan Nikolic, Dmitry I. Ignatov, Peter Fedorov:
Acne Recognition: Training Models with Experts. AIST (Supplement) 2023: 222-231 - [c63]Dmitry I. Ignatov, Daria Komissarova, Kamila Usmanova, Stefan Nikolic, Andrey V. Khrunin, Gennady V. Khvorykh:
Approximate Density Computation for OA-Biclustering. AIST (Supplement) 2023: 265-283 - [c62]Ekaterina Mitrofanova, Dmitry I. Ignatov, Tatyana Maximova, Anna Podshivalova, Anna Muratova:
Development of a Visualization Tool for the Occurrence of Life Events on the Demographic Lexis Grid. AIST (Supplement) 2023: 301-308 - [c61]Dmitry I. Ignatov:
Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalities. AIST 2023: 349-361 - [c60]Sergey Naumov, Marina Ananyeva, Oleg Lashinin, Sergey Kolesnikov, Dmitry I. Ignatov:
Time-Dependent Next-Basket Recommendations. ECIR (2) 2023: 502-511 - [c59]Dmitry I. Ignatov:
A Note on the Number of (Maximal) Antichains in the Lattice of Set Partitions. ICCS 2023: 56-69 - [c58]Dmitry I. Ignatov:
On the Maximal Independence Polynomial of the Covering Graph of the Hypercube up to n=6. ICFCA 2023: 152-165 - [c57]Dmitry I. Ignatov:
A Note on Counting Basic Choice Functions with Formal Concept Analysis. FCA4AI@IJCAI 2023: 47-56 - [i26]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 abs/2309.14662 (2023) - 2022
- [j15]Dmitrii Egurnov, Dmitry I. Ignatov:
Triclusters of Close Values for the Analysis of 3D Data. Autom. Remote. Control. 83(6): 894-902 (2022) - [j14]Dmitry I. Ignatov, Léonard Kwuida:
On Shapley value interpretability in concept-based learning with formal concept analysis. Ann. Math. Artif. Intell. 90(11-12): 1197-1222 (2022) - [c56]Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov:
Towards Interaction-based User Embeddings in Sequential Recommender Models. ORSUM@RecSys 2022 - [p2]Dmitry Egurnov, Dmitry I. Ignatov, Dmitry Tochilkin:
Triclustering in Big Data Setting. Complex Data Analytics with Formal Concept Analysis 2022: 239-258 - [e26]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings. Communications in Computer and Information Science 1573, Springer 2022, ISBN 978-3-031-15167-5 [contents] - [e25]Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13217, Springer 2022, ISBN 978-3-031-16499-6 [contents] - [i25]Aleksandr V. Petrov, Ildar Safilo, Daria Tikhonovich, Dmitry I. Ignatov:
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. CoRR abs/2209.00325 (2022) - [i24]Dmitry I. Ignatov:
On the Cryptomorphism between Davis' Subset Lattices, Atomic Lattices, and Closure Systems under T1 Separation Axiom. CoRR abs/2209.12256 (2022) - 2021
- [j13]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: e777 (2021) - [c55]Dmitry I. Ignatov, Alexandra Yakovleva:
On Suboptimality of GreConD for Boolean Matrix Factorisation of Contranominal Scales. FCA4AI@IJCAI 2021: 87-98 - [e24]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e23]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [i23]Léonard Kwuida, Dmitry I. Ignatov:
On Interpretability and Similarity in Concept-Based Machine Learning. CoRR abs/2102.12723 (2021) - 2020
- [c54]Léonard Kwuida, Dmitry I. Ignatov:
On Interpretability and Similarity in Concept-Based Machine Learning. AIST 2020: 28-54 - [c53]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: 57-68 - [c52]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: 185-204 - [c51]Dmitry I. Ignatov, Léonard Kwuida:
Shapley and Banzhaf Vectors of a Formal Concept. CLA 2020: 259-271 - [c50]Dmitry I. Ignatov, Léonard Kwuida:
Interpretable Concept-Based Classification with Shapley Values. ICCS 2020: 90-102 - [e22]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [i22]Dmitry I. Ignatov, Polina Ivanova, Albina Zamaletdinova:
Mixed Integer Programming for Searching Maximum Quasi-Bicliques. CoRR abs/2002.09880 (2020) - [i21]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 abs/2010.02605 (2020) - [i20]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 abs/2010.11641 (2020) - [i19]Dmitry Egurnov, Dmitry I. Ignatov, Dmitry Tochilkin:
Triclustering in Big Data Setting. CoRR abs/2010.12933 (2020)
2010 – 2019
- 2019
- [j12]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of recurrent neural networks for efficient language modeling. Appl. Soft Comput. 79: 354-362 (2019) - [c49]Dmitry I. Ignatov:
Preliminary Results on Mixed Integer Programming for Searching Maximum Quasi-Bicliques and Large Dense Biclusters. ICFCA (Supplements) 2019: 28-32 - [c48]Dmitrii Egurnov, Dmitry I. Ignatov:
Triclustring Toolbox. ICFCA (Supplements) 2019: 65-69 - [c47]Dmitry I. Ignatov, Dmitry Tochilkin, Dmitry Egurnov:
Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited. ICFCA (Supplements) 2019: 137-151 - [c46]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: 40-48 - [e21]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [e20]Vadim V. Strijov, Dmitry I. Ignatov, Konstantin V. Vorontsov:
Intelligent Data Processing, 11th International Conference, IDP 2016, Barcelona, Spain, October 10-14, 2016, Revised Selected Papers. Communications in Computer and Information Science 794, Springer 2019, ISBN 978-3-030-35399-5 [contents] - [i18]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. CoRR abs/1902.02380 (2019) - 2018
- [j11]Dmitry I. Ignatov:
On closure operators related to maximal tricliques in tripartite hypergraphs. Discret. Appl. Math. 249: 74-84 (2018) - [c45]Elena Andreeva, Dmitry I. Ignatov, Artem M. Grachev, Andrey V. Savchenko:
Extraction of Visual Features for Recommendation of Products via Deep Learning. AIST 2018: 201-210 - [c44]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: 221-233 - [c43]Vladimir Kursitys, Dmitry I. Ignatov:
Understanding Collaborative Filtering with Galois Connections. FCA4AI@IJCAI 2018: 127-143 - [c42]Vasiliy Rubtsov, Mikhail Kamenshchikov, Ilya Valyaev, Vasiliy Leksin, Dmitry I. Ignatov:
A hybrid two-stage recommender system for automatic playlist continuation. RecSys Challenge 2018: 16:1-16:4 - [c41]Anastasia Feygina, Dmitry I. Ignatov, Ilya Makarov:
Realistic post-processing of rendered 3D scenes. SIGGRAPH Posters 2018: 42:1-42:2 - [e19]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e18]Wil M. P. van der Aalst, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman:
Analysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10716, Springer 2018, ISBN 978-3-319-73012-7 [contents] - [e17]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [e16]Dmitry I. Ignatov, Lhouari Nourine:
Proceedings of the Fourteenth International Conference on Concept Lattices and Their Applications, CLA 2018, Olomouc, Czech Republic, June 12-14, 2018. CEUR Workshop Proceedings 2123, CEUR-WS.org 2018 [contents] - [e15]Steffen Staab, Olessia Koltsova, Dmitry I. Ignatov:
Social Informatics - 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11185, Springer 2018, ISBN 978-3-030-01128-4 [contents] - [e14]Steffen Staab, Olessia Koltsova, Dmitry I. Ignatov:
Social Informatics - 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11186, Springer 2018, ISBN 978-3-030-01158-1 [contents] - 2017
- [c40]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: 183-196 - [c39]Dmitrii Egurnov, Dmitry I. Ignatov, Engelbert Mephu Nguifo:
On Containment of Triclusters Collections Generated by Quantified Box Operators. ISMIS 2017: 573-579 - [c38]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. PReMI 2017: 351-357 - [c37]Maxim Yurov, Dmitry I. Ignatov:
Turning Krimp into a Triclustering Technique on Sets of Attribute-Condition Pairs that Compress. IJCRS (2) 2017: 558-569 - [p1]Dmitry I. Ignatov, Alexander Semenov, Daria Komissarova, Dmitry V. Gnatyshak:
Multimodal Clustering for Community Detection. Formal Concept Analysis of Social Networks 2017: 59-96 - [e13]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science 661, 2017, ISBN 978-3-319-52919-6 [contents] - [e12]Wil M. P. van der Aalst, Mikhail Yu. Khachay, Sergei O. Kuznetsov, Victor S. Lempitsky, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman, Dmitry I. Ignatov:
Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27 - 29, 2017. CEUR Workshop Proceedings 1975, CEUR-WS.org 2017 [contents] - [i17]Mikhail V. Goubko, Sergei O. Kuznetsov, Alexey A. Neznanov, Dmitry I. Ignatov:
Bayesian Learning of Consumer Preferences for Residential Demand Response. CoRR abs/1701.08757 (2017) - [i16]Dmitry I. Ignatov, Bruce W. Watson:
Towards a Unified Taxonomy of Biclustering Methods. CoRR abs/1702.05376 (2017) - [i15]Dmitry I. Ignatov, Alexander Semenov, Daria Komissarova, Dmitry V. Gnatyshak:
Multimodal Clustering for Community Detection. CoRR abs/1702.08557 (2017) - [i14]Dmitry I. Ignatov:
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields. CoRR abs/1703.02819 (2017) - [i13]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. CoRR abs/1708.05963 (2017) - 2016
- [j10]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: 546-558 (2016) - [j9]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): 28-35 (2016) - [c36]Vladimir Bobrikov, Elena Nenova, Dmitry I. Ignatov:
What is a Fair Value of Your Recommendation List? EEML@CLA 2016: 1-12 - [c35]Artem Bocharov, Dmitry Gnatyshak, Dmitry I. Ignatov, Boris G. Mirkin, Andrey Shestakov:
A Lattice-based Consensus Clustering Algorithm. CLA 2016: 45-56 - [c34]Rustam Tagiew, Dmitry I. Ignatov:
Gift Ratios in Laboratory Experiments. EEML@CLA 2016: 82-93 - [c33]Danil Gizdatullin, Jaume Baixeries, Dmitry I. Ignatov, Ekaterina Mitrofanova, Anna Muratova, Thomas H. Espy:
Learning Interpretable Prefix-Based Patterns from Demographic Sequences. IDP 2016: 74-91 - [e11]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks and Texts (AIST 2016), Yekaterinburg, Russia, April 6-8, 2016. CEUR Workshop Proceedings 1710, CEUR-WS.org 2016 [contents] - [e10]Jaume Baixeries, Dmitry I. Ignatov, Dmitry I. Ilvovsky, Alexander Panchenko:
Proceedings of the Third Workshop on Concept Discovery in Unstructured Data co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings 1625, CEUR-WS.org 2016 [contents] - [e9]Rustam Tagiew, Dmitry I. Ignatov, Andreas Hilbert, Radhakrishnan Delhibabu:
Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings 1627, CEUR-WS.org 2016 [contents] - [e8]Manuel Ojeda-Aciego, Dmitry I. Ignatov, Alexander Lepskiy:
Proceedings of the 2nd International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016) co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), Moscow, Russia, July 18, 2016. CEUR Workshop Proceedings 1687, CEUR-WS.org 2016 [contents] - [e7]Pavel Braslavski, Ilya Markov, Panos M. Pardalos, Yana Volkovich, Dmitry I. Ignatov, Sergei Koltsov, Olessia Koltsova:
Information Retrieval - 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers. Communications in Computer and Information Science 573, Springer 2016, ISBN 978-3-319-41717-2 [contents] - [i12]Dmitry I. Ignatov:
Towards a closure operator for enumeration of maximal tricliques in tripartite hypergraphs. CoRR abs/1602.07267 (2016) - 2015
- [j8]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): 271-302 (2015) - [j7]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): 72-79 (2015) - [c32]Sheikh Muhammad Sarwar, Mahamudul Hasan, Masum Billal, Dmitry I. Ignatov:
Similarity Aggregation for Collaborative Filtering. AIST 2015: 236-242 - [c31]Sergey Zudin, Dmitry V. Gnatyshak, Dmitry I. Ignatov:
Putting OAC-triclustering on MapReduce. CLA 2015: 47-58 - [c30]Marat Akhmatnurov, Dmitry I. Ignatov:
Context-Aware Recommender System Based on Boolean Matrix Factorisation. CLA 2015: 99-110 - [c29]Rustam Tagiew, Dmitry I. Ignatov, Radhakrishnan Delhibabu:
Hospitality Exchange Services as a Source of Spatial and Social Data? ICDM Workshops 2015: 1125-1130 - [c28]Dmitry I. Ignatov, Denis Kornilov:
RAPS: A Recommender Algorithm Based on Pattern Structures. FCA4AI@IJCAI 2015: 87-98 - [c27]Dmitry I. Ignatov, Ekaterina Mitrofanova, Anna Muratova, Danil Gizdatullin:
Pattern Mining and Machine Learning for Demographic Sequences. KESW 2015: 225-239 - [c26]Rustam Tagiew, Dmitry I. Ignatov, Radhakrishnan Delhibabu:
Economics of Internet-Based Hospitality Exchange. WI-IAT (1) 2015: 493-498 - [e6]Mikhail Yu. Khachay, Natalia Konstantinova, Alexander Panchenko, Dmitry I. Ignatov, Valeri G. Labunets:
Analysis of Images, Social Networks and Texts - 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9-11, 2015, Revised Selected Papers. Communications in Computer and Information Science 542, Springer 2015, ISBN 978-3-319-26122-5 [contents] - [e5]Pavel Braslavski, Nikolay Karpov, Marcel Worring, Yana Volkovich, Dmitry I. Ignatov:
Information Retrieval - 8th Russian Summer School, RuSSIR 2014, Nizhniy, Novgorod, Russia, August 18-22, 2014, Revised Selected Papers. Communications in Computer and Information Science 505, Springer 2015, ISBN 978-3-319-25484-5 [contents] - [i11]Yury Kashnitsky, Dmitry I. Ignatov:
Can FCA-based Recommender System Suggest a Proper Classifier? CoRR abs/1504.05473 (2015) - [i10]Dmitry I. Ignatov, Denis Kornilov:
RAPS: A Recommender Algorithm Based on Pattern Structures. CoRR abs/1507.05497 (2015) - [i9]Sheikh Muhammad Sarwar, Mahamudul Hasan, Dmitry I. Ignatov:
Two-stage Cascaded Classifier for Purchase Prediction. CoRR abs/1508.03856 (2015) - 2014
- [j6]Jonas Poelmans, Dmitry I. Ignatov, Sergei O. Kuznetsov, Guido Dedene:
Fuzzy and rough formal concept analysis: a survey. Int. J. Gen. Syst. 43(2): 105-134 (2014) - [j5]Pavel Braslavski, Nikolay Karpov, Marcel Worring, Yana Volkovich, Dmitry I. Ignatov:
8th Russian Summer School in Information Retrieval (RuSSIR 2014). SIGIR Forum 48(2): 105-110 (2014) - [c25]Dmitry I. Ignatov, Elena Nenova, Natalia Konstantinova, Andrey V. Konstantinov:
Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach. AIMSA 2014: 47-58 - [c24]Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov, Lhouari Nourine:
A One-pass Triclustering Approach: Is There any Room for Big Data? CLA 2014: 231-242 - [c23]Yury Kashnitsky, Dmitry I. Ignatov:
Can FCA-based Recommender System Suggest a Proper Classifier? FCA4AI@ECAI 2014: 17-26 - [c22]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: 287-292 - [c21]Roman Zhuk, Dmitry I. Ignatov, Natalia Konstantinova:
Concept Learning from Triadic Data. ITQM 2014: 928-938 - [c20]Dmitry I. Ignatov:
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields. RuSSIR 2014: 42-141 - [c19]Dmitry I. Ignatov, Maria Mikhailova, Alexandra Yu. Zakirova, Alexander Malioukov:
Recommendation of Ideas and Antagonists for Crowdsourcing Platform Witology. RuSSIR 2014: 276-296 - [c18]Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Natalia Konstantinova:
Online Recommender System for Radio Station Hosting: Experimental Results Revisited. WI-IAT (2) 2014: 229-236 - [c17]Dmitry I. Ignatov, Alexandra Yu. Kaminskaya, Natalia Konstantinova, Andrey V. Konstantinov:
Recommender System for Crowdsourcing Platform Witology. WI-IAT (2) 2014: 327-335 - [c16]Dmitry I. Ignatov, Roman Zhuk, Natalia Konstantinova:
Learning Hypotheses from Triadic Labeled Data. WI-IAT (1) 2014: 474-480 - [e4]Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav Yavorskiy:
Analysis of Images, Social Networks and Texts - Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers. Communications in Computer and Information Science 436, Springer 2014, ISBN 978-3-319-12579-4 [contents] - [e3]Dmitry I. Ignatov, Mikhail Yu. Khachay, Alexander Panchenko, Natalia Konstantinova, Rostislav E. Yavorsky, Dmitry Ustalov:
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST'2014), Yekaterinburg, Russia, April 10-12, 2014. CEUR Workshop Proceedings 1197, CEUR-WS.org 2014 [contents] - [i8]Rustam Tagiew, Dmitry I. Ignatov:
Reciprocity in Gift-Exchange-Games. CoRR abs/1402.5593 (2014) - [i7]Rustam Tagiew, Dmitry I. Ignatov, Fadi Amroush:
Experimental economics for web mining. CoRR abs/1412.4726 (2014) - 2013
- [j4]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): 6538-6560 (2013) - [j3]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): 6601-6623 (2013) - [j2]Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov:
Can triconcepts become triclusters? Int. J. Gen. Syst. 42(6): 572-593 (2013) - [c15]Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov:
From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. CLA 2013: 249-260 - [c14]Dmitry I. Ignatov, Andrey V. Konstantinov, Yana Chubis:
Near-Duplicate Detection for Online-Shops Owners: An FCA-Based Approach. ECIR 2013: 722-725 - [c13]Hideo Joho, Dmitry I. Ignatov:
Doctoral Consortium at ECIR 2013. ECIR 2013: 890 - [c12]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: 173-192 - [c11]Anastasia A. Bezzubtseva, Dmitry I. Ignatov:
The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe. ICDM Workshops 2013: 426-432 - [c10]Rustam Tagiew, Dmitry I. Ignatov, Fadi Amroush:
Social Learning in Networks: Extraction of Deterministic Rules. ICDM Workshops 2013: 445-451 - [e2]Heather D. Pfeiffer, Dmitry I. Ignatov, Jonas Poelmans, Nagarjuna Gadiraju:
Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures, ICCS 2013, Mumbai, India, January 10-12, 2013. Proceedings. Lecture Notes in Computer Science 7735, Springer 2013, ISBN 978-3-642-35785-5 [contents] - [i6]Elena Nenova, Dmitry I. Ignatov, Andrey V. Konstantinov:
An FCA-based Boolean Matrix Factorisation for Collaborative Filtering. CoRR abs/1310.4366 (2013) - [i5]Anastasya A. Bezzubtseva, Dmitry I. Ignatov:
A Typology of Collaboration Platform Users. CoRR abs/1312.0162 (2013) - 2012
- [j1]Jonas Poelmans, Paul Elzinga, Dmitry I. Ignatov, Sergei O. Kuznetsov:
Semi-automated knowledge discovery: identifying and profiling human trafficking. Int. J. Gen. Syst. 41(8): 774-804 (2012) - [c9]Dmitry I. Ignatov, Andrey V. Konstantinov, Sergey I. Nikolenko, Jonas Poelmans, Vasily Zaharchuk:
Online Recommender System for Radio Station Hosting. BIR 2012: 1-12 - [c8]Dmitry Gnatyshak, Dmitry I. Ignatov, Alexander Semenov, Jonas Poelmans:
Gaining Insight in Social Networks with Biclustering and Triclustering. BIR 2012: 162-171 - [c7]Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans:
Concept-Based Biclustering for Internet Advertisement. ICDM Workshops 2012: 123-130 - [c6]Jonas Poelmans, Dmitry I. Ignatov, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov:
Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research. ICDM 2012: 273-287 - [c5]Dmitry I. Ignatov, Jonas Poelmans, Guido Dedene, Stijn Viaene:
A New Cross-Validation Technique to Evaluate Quality of Recommender Systems. PerMIn 2012: 195-202 - [e1]Florent Domenach, Dmitry I. Ignatov, Jonas Poelmans:
Formal Concept Analysis - 10th International Conference, ICFCA 2012, Leuven, Belgium, May 7-10, 2012. Proceedings. Lecture Notes in Computer Science 7278, Springer 2012, ISBN 978-3-642-29891-2 [contents] - [i4]Dmitry I. Ignatov, Jonas Poelmans, Vasily Zaharchuk:
Recommender System Based on Algorithm of Bicluster Analysis RecBi. CoRR abs/1202.2892 (2012) - [i3]Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Stijn Viaene, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene:
Concept Relation Discovery and Innovation Enabling Technology (CORDIET). CoRR abs/1202.2895 (2012) - 2011
- [c4]Dmitry I. Ignatov, Serafima Mamedova, Nikita Romashkin, Ivan Shamshurin:
What Can Closed Sets of Students and Their Marks Say? EDM 2011: 223-228 - [c3]Nikita Romashkin, Dmitry I. Ignatov, Elena Kolotova:
How University Entrants are Choosing Their Department? Mining of University Admission Process with FCA Taxonomies. EDM 2011: 229-234 - [c2]Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov, Leonid E. Zhukov:
From Triconcepts to Triclusters. RSFDGrC 2011: 257-264
2000 – 2009
- 2009
- [c1]Dmitry I. Ignatov, Sergei O. Kuznetsov:
Frequent Itemset Mining for Clustering Near Duplicate Web Documents. ICCS 2009: 185-200 - [i2]Sergei O. Kuznetsov, Dmitry I. Ignatov:
Concept Stability for Constructing Taxonomies of Web-site Users. CoRR abs/0905.1424 (2009) - [i1]Dmitry I. Ignatov, Sergei O. Kuznetsov:
Concept-based Recommendations for Internet Advertisement. CoRR abs/0906.4982 (2009)
Coauthor Index
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