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ORCIDSergei O. Kuznetsov
Sergey O. Kuznetsov
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- Sergei Kuznetsov
- Sergei A. Kuznetsov
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![[0000-0002-8257-028X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8257-028X")
(aka: Sergey D. Kuznetsov) — Russian Academy of Sciences, Institute for System Programming, Moscow, Russia - Sergei K. Kuznetsov
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2020 – today
- 2024
[j39]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Data complexity: An FCA-based approach. Int. J. Approx. Reason. 165: 109084 (2024)- [c106]Eric George Parakal, Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Document Classification via Stable Graph Patterns and Conceptual AMR Graphs. CONCEPTS 2024: 286-301 - 2023
- [c105]Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees. ICFCA 2023: 127-142 - [c104]Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Constructing Decision Quivers. FCA4AI@IJCAI 2023: 57-68 - [c103]Sergei O. Kuznetsov, Vasilii A. Gromov, Nikita S. Borodin, Andrei M. Divavin:
Formal Concept Analysis for Evaluating Intrinsic Dimension of a Natural Language. PReMI 2023: 331-339 - [e37]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 11th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R. China; August 20, 2023. CEUR Workshop Proceedings 3489, CEUR-WS.org 2023 [contents] - [i22]Sergei O. Kuznetsov, Vasilii A. Gromov, Nikita S. Borodin, Andrei M. Divavin:
Formal concept analysis for evaluating intrinsic dimension of a natural language. CoRR abs/2311.10862 (2023) - 2022
- [j38]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. Data Min. Knowl. Discov. 36(1): 108-145 (2022) - [j37]Tatiana Makhalova, Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset. Int. J. Approx. Reason. 145: 75-90 (2022) - [c102]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CLA 2022: 117-132 - [c101]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
△-Closure Structure for Studying Data Distribution. ICDM 2022: 867-872 - [c100]Eric George Parakal, Sergei O. Kuznetsov:
Intrinsically Interpretable Document Classification via Concept Lattices. FCA4AI@IJCAI 2022: 9-22 - [c99]Egor Dudyrev, Sergei O. Kuznetsov:
Towards Fast Finding Optimal Short Classifiers. FCA4AI@IJCAI 2022: 23-34 - [c98]Abdulrahim Ghazal, Sergei O. Kuznetsov:
Lazy Classification of Underground Forums Messages Using Pattern Structures. FCA4AI@IJCAI 2022: 63-74 - [e36]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] - [e35]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] - [e34]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 10th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 23, 2022. CEUR Workshop Proceedings 3233, CEUR-WS.org 2022 [contents] - [i21]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CoRR abs/2205.02464 (2022) - [i20]Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Delta-Closure Structure for Studying Data Distribution. CoRR abs/2210.06926 (2022) - 2021
- [c97]Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. ICFCA 2021: 252-260 - [c96]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Data Overview by Means of Delta-Classes of Equivalence. The Case of the Titanic Dataset. FCA4AI@IJCAI 2021: 19-26 - [c95]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Likely-Occurring Itemsets for Pattern Mining. FCA4AI@IJCAI 2021: 39-50 - [c94]Egor Dudyrev, Sergei O. Kuznetsov:
Summation of Decision Trees. FCA4AI@IJCAI 2021: 99-104 - [c93]Illya Semenkov, Sergei O. Kuznetsov:
Ensemble Techniques for Lazy Classication Based on Pattern Structures. FCA4AI@IJCAI 2021: 105-112 - [e33]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] - [e32]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] - [e31]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montréal, Québec, Canada, August 21, 2021. CEUR Workshop Proceedings 2972, CEUR-WS.org 2021 [contents] - [e30]Sergei M. Kovalev, Sergei O. Kuznetsov, Aleksandr I. Panov:
Artificial Intelligence - 19th Russian Conference, RCAI 2021, Taganrog, Russia, October 11-16, 2021, Proceedings. Lecture Notes in Computer Science 12948, Springer 2021, ISBN 978-3-030-86854-3 [contents] - [i19]Egor Dudyrev, Sergei O. Kuznetsov:
Decision Concept Lattice vs. Decision Trees and Random Forests. CoRR abs/2106.00387 (2021) - 2020
- [j36]Marianne Huchard, Sergei O. Kuznetsov:
Preface to Special Issue on Concept Lattices and Their Applications 2016. Discret. Appl. Math. 273: 1 (2020) - [j35]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On pattern setups and pattern multistructures. Int. J. Gen. Syst. 49(8): 785-818 (2020) - [j34]Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergei O. Kuznetsov:
NextPriorityConcept: A new and generic algorithm computing concepts from complex and heterogeneous data. Theor. Comput. Sci. 845: 1-20 (2020) - [c92]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Gradual Discovery with Closure Structure of a Concept Lattice. CLA 2020: 145-157 - [c91]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Adaptive Multi-model Approaches to Pattern Set Mining. STAIRS@ECAI 2020 - [c90]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Closure Structure: a Deeper Insight. FCA4AI@ECAI 2020: 45-56 - [p1]Sébastien Ferré, Marianne Huchard, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Formal Concept Analysis: From Knowledge Discovery to Knowledge Processing. A Guided Tour of Artificial Intelligence Research (2) (II) 2020: 411-445 - [e29]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] - [e28]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 8th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2020) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, August 29, 2020. CEUR Workshop Proceedings 2729, CEUR-WS.org 2020 [contents] - [e27]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, FCA4AI@IJCAI 2019, Macao, China, August 10, 2019. CEUR Workshop Proceedings 2529, CEUR-WS.org 2020 [contents] - [e26]Sergei O. Kuznetsov, Aleksandr I. Panov, Konstantin S. Yakovlev:
Artificial Intelligence - 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings. Lecture Notes in Computer Science 12412, Springer 2020, ISBN 978-3-030-59534-0 [contents] - [i18]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Discovery data topology with the closure structure. Theoretical and practical aspects. CoRR abs/2010.02628 (2020) - [i17]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets. CoRR abs/2011.14843 (2020)
2010 – 2019
- 2019
- [c89]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Numerical Pattern Mining Through Compression. DCC 2019: 112-121 - [c88]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
On Coupling FCA and MDL in Pattern Mining. ICFCA 2019: 332-340 - [c87]Elizaveta F. Goncharova, Sergei O. Kuznetsov:
Increasing the Efficiency of Packet Classifiers with Closed Descriptions. FCA4AI@IJCAI 2019: 75-86 - [e25]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] - [i16]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
On Pattern Setups and Pattern Multistructures. CoRR abs/1906.02963 (2019) - [i15]Sergei O. Kuznetsov:
Ordered Sets for Data Analysis. CoRR abs/1908.11341 (2019) - [i14]Christophe Demko, Karell Bertet, Cyril Faucher, Jean-François Viaud, Sergei O. Kuznetsov:
Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data. CoRR abs/1912.11038 (2019) - 2018
- [j33]Sergei O. Kuznetsov, Tatiana P. Makhalova:
On interestingness measures of formal concepts. Inf. Sci. 442-443: 202-219 (2018) - [j32]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Detecting logical argumentation in text via communicative discourse tree. J. Exp. Theor. Artif. Intell. 30(5): 637-663 (2018) - [c86]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
A First Study on What MDL Can Do for FCA. CLA 2018: 25-36 - [c85]Aimene Belfodil, Sergei O. Kuznetsov, Mehdi Kaytoue:
Pattern Setups and Their Completions. CLA 2018: 243-253 - [c84]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
MDL for FCA: Is There a Place for Background Knowledge? FCA4AI@IJCAI 2018: 45-56 - [e24]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] - [e23]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] - [e22]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] - [e21]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 6th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI/ECAI 2018), Stockholm, Sweden, July 13, 2018. CEUR Workshop Proceedings 2149, CEUR-WS.org 2018 [contents] - 2017
- [j31]Mikhail A. Babin, Sergei O. Kuznetsov:
Dualization in lattices given by ordered sets of irreducibles. Theor. Comput. Sci. 658: 316-326 (2017) - [c83]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Efficient Mining of Subsample-Stable Graph Patterns. ICDM 2017: 757-762 - [c82]Tatiana P. Makhalova, Sergei O. Kuznetsov:
On Overfitting of Classifiers Making a Lattice. ICFCA 2017: 184-197 - [c81]Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue:
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI 2017: 1425-1432 - [c80]Sergei O. Kuznetsov, Nurtas Makhazhanov, Maxim Ushakov:
On Neural Network Architecture Based on Concept Lattices. ISMIS 2017: 653-663 - [e20]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] - [e19]Leonid A. Kalinichenko, Sergei O. Kuznetsov, Yannis Manolopoulos:
Data Analytics and Management in Data Intensive Domains - XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11-14, 2016, Revised Selected Papers. Communications in Computer and Information Science 706, 2017, ISBN 978-3-319-57134-8 [contents] - [e18]Oleg S. Pianykh, Alexey Neznanov, Sergei O. Kuznetsov, Jaume Baixeries, Svetla Boytcheva:
Workshop on Data Analysis in Medicine, WDAM 2017, Moscow, Russia, May 29, 2017. Kalpa Publications in Computing 6, EasyChair 2017 [contents] - [e17]Rokia Missaoui, Sergei O. Kuznetsov, Sergei A. Obiedkov:
Formal Concept Analysis of Social Networks. Lecture Notes in Social Networks, Springer 2017, ISBN 978-3-319-64166-9 [contents] - [i13]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) - [i12]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Mining Best Closed Itemsets for Projection-antimonotonic Constraints in Polynomial Time. CoRR abs/1703.09513 (2017) - 2016
- [j30]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On mining complex sequential data by means of FCA and pattern structures. Int. J. Gen. Syst. 45(2): 135-159 (2016) - [c79]Yury Kashnitsky, Sergei O. Kuznetsov:
Global Optimization in Learning with Important Data: an FCA-Based Approach. CLA 2016: 189-201 - [c78]Natalia V. Korepanova, Sergei O. Kuznetsov:
Pattern Structures for Treatment Optimization in Subgroups of Patients. CLA 2016: 217-229 - [c77]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On Stability of Triadic Concepts. CLA 2016: 245-253 - [c76]Alexey Masyutin, Sergei O. Kuznetsov:
Continuous Target Variable Prediction with Augmented Interval Pattern Structures: A Lazy Algorithm. CLA 2016: 273-284 - [c75]Yury Kashnitsky, Sergei O. Kuznetsov:
Interval Pattern Concept Lattice as a Classifier Ensemble. FCA4AI@ECAI 2016: 105-112 - [e16]Marianne Huchard, Sergei O. Kuznetsov:
Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 18-22, 2016. CEUR Workshop Proceedings 1624, CEUR-WS.org 2016 [contents] - [e15]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 5th International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence, FCA4AI@ECAI 2016, The Hague, the Netherlands, August 30, 2016. CEUR Workshop Proceedings 1703, CEUR-WS.org 2016 [contents] - [e14]Leonid A. Kalinichenko, Yannis Manolopoulos, Sergei O. Kuznetsov:
Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016), Ershovo, Moscow Region, Russia, October 11-14, 2016. CEUR Workshop Proceedings 1752, CEUR-WS.org 2016 [contents] - [i11]Sergei O. Kuznetsov, Tatyana P. Makhalova:
On interestingness measures of formal concepts. CoRR abs/1611.02646 (2016) - 2015
- [j29]Sergei O. Kuznetsov, Artem Revenko:
Interactive error correction in implicative theories. Int. J. Approx. Reason. 63: 89-100 (2015) - [j28]Jean-Philippe Métivier, Alban Lepailleur, Aleksey Buzmakov, Guillaume Poezevara, Bruno Crémilleux, Sergei O. Kuznetsov, Jérémie Le Goff, Amedeo Napoli, Ronan Bureau, Bertrand Cuissart:
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns. J. Chem. Inf. Model. 55(5): 925-940 (2015) - [j27]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) - [c74]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Rhetoric Map of an Answer to Compound Queries. ACL (2) 2015: 681-686 - [c73]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Text Integrity Assessment: Sentiment Profile vs Rhetoric Structure. CICLing (2) 2015: 126-139 - [c72]Sergei O. Kuznetsov, Tatyana P. Makhalova:
Concept Interestingness Measures: a Comparative Study. CLA 2015: 59-72 - [c71]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Pattern Structure Projections. ICFCA 2015: 200-215 - [c70]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
SOFIA: How to Make FCA Polynomial? FCA4AI@IJCAI 2015: 27-35 - [c69]Alexey Masyutin, Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Classication with Interval Pattern Structures: Application to Credit Scoring. FCA4AI@IJCAI 2015: 43-54 - [c68]Yury Kashnitsky, Sergei O. Kuznetsov:
Lazy Associative Graph Classification. FCA4AI@IJCAI 2015: 63-74 - [c67]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints. ECML/PKDD (2) 2015: 157-172 - [c66]Mehdi Kaytoue, Víctor Codocedo, Aleksey Buzmakov, Jaume Baixeries, Sergei O. Kuznetsov, Amedeo Napoli:
Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. ECML/PKDD (3) 2015: 227-231 - [c65]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Text Classification into Abstract Classes Based on Discourse Structure. RANLP 2015: 200-207 - [e13]Sergei O. Kuznetsov, Rokia Missaoui, Sergei A. Obiedkov:
Proceedings of the Workshop on Social Network Analysis using Formal Concept Analysis in conjunction with the 13th International Conference on Formal Concept Analysis (ICFCA 2015), Nerja (Malaga), Spain, June 25, 2015. CEUR Workshop Proceedings 1534, CEUR-WS.org 2015 [contents] - [e12]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015, co-located with the International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015. CEUR Workshop Proceedings 1430, CEUR-WS.org 2015 [contents] - [i10]Mikhail A. Babin, Sergei O. Kuznetsov:
Dualization in Lattices Given by Ordered Sets of Irreducibles. CoRR abs/1504.01145 (2015) - [i9]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On mining complex sequential data by means of FCA and pattern structures. CoRR abs/1504.02255 (2015) - [i8]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints. CoRR abs/1506.01071 (2015) - [i7]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Pattern Structure Projections. CoRR abs/1506.05018 (2015) - 2014
- [j26]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Amedeo Napoli:
Biclustering meets triadic concept analysis. Ann. Math. Artif. Intell. 70(1-2): 55-79 (2014) - [j25]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergey O. Kuznetsov:
Extending Tree Kernels Towards Paragraphs. Int. J. Comput. Linguistics Appl. 5(1): 105-116 (2014) - [j24]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) - [c64]Fedor Strok, Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov:
Pattern Structure Projections for Learning Discourse Structures. AIMSA 2014: 254-260 - [c63]Natalia Korepanova, Sergei O. Kuznetsov, Alexander I. Karachunskiy:
Matchings and Decision Trees for Determining Optimal Therapy. AIST 2014: 101-110 - [c62]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 - [c61]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Concept Stability as a Tool for Pattern Selection. FCA4AI@ECAI 2014: 51-58 - [c60]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Scalable Estimates of Concept Stability. ICFCA 2014: 157-172 - [c59]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Is Concept Stability a Measure for Pattern Selection? ITQM 2014: 918-927 - [c58]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
On Evaluating Interestingness Measures for Closed Itemsets. STAIRS 2014: 71-80 - [e11]Gennady Agre, Pascal Hitzler, Adila Alfa Krisnadhi, Sergei O. Kuznetsov:
Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings. Lecture Notes in Computer Science 8722, Springer 2014, ISBN 978-3-319-10553-6 [contents] - [e10]Alexander S. Kulikov, Sergei O. Kuznetsov, Pavel A. Pevzner:
Combinatorial Pattern Matching - 25th Annual Symposium, CPM 2014, Moscow, Russia, June 16-18, 2014. Proceedings. Lecture Notes in Computer Science 8486, Springer 2014, ISBN 978-3-319-07565-5 [contents] - [e9]Edward A. Hirsch, Sergei O. Kuznetsov, Jean-Éric Pin, Nikolay K. Vereshchagin:
Computer Science - Theory and Applications - 9th International Computer Science Symposium in Russia, CSR 2014, Moscow, Russia, June 7-11, 2014. Proceedings. Lecture Notes in Computer Science 8476, Springer 2014, ISBN 978-3-319-06685-1 [contents] - [e8]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the 3rd International Workshop "What can FCA do for Artificial Intelligence"? co-located with the European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic, August 19, 2014. CEUR Workshop Proceedings 1257, CEUR-WS.org 2014 [contents] - [i6]Sergei O. Kuznetsov, Artem Revenko:
Interactive Error Correction in Implicative Theories. CoRR abs/1410.5215 (2014) - 2013
- [j23]Mikhail A. Babin, Sergei O. Kuznetsov:
Computing premises of a minimal cover of functional dependencies is intractable. Discret. Appl. Math. 161(6): 742-749 (2013) - [j22]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) - [j21]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) - [j20]Sergei O. Kuznetsov, Dominik Slezak:
Data mining and soft computing. Int. J. Gen. Syst. 42(6): 543-545 (2013) - [j19]Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans, Leonid E. Zhukov:
Can triconcepts become triclusters? Int. J. Gen. Syst. 42(6): 572-593 (2013) - [j18]Sergei O. Kuznetsov, Jonas Poelmans:
Knowledge representation and processing with formal concept analysis. WIREs Data Mining Knowl. Discov. 3(3): 200-215 (2013) - [c57]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
On Projections of Sequential Pattern Structures (with an Application on Care Trajectories). CLA 2013: 199-208 - [c56]Dmitry Gnatyshak, Dmitry I. Ignatov, Sergei O. Kuznetsov:
From Triadic FCA to Triclustering: Experimental Comparison of Some Triclustering Algorithms. CLA 2013: 249-260 - [c55]Boris A. Galitsky, Sergei O. Kuznetsov:
A Web Mining Tool for Assistance with Creative Writing. ECIR 2013: 828-831 - [c54]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov, Fedor Strok:
Finding Maximal Common Sub-parse Thickets for Multi-sentence Search. GKR 2013: 39-57 - [c53]Boris A. Galitsky, Sergei O. Kuznetsov, Daniel Usikov:
Parse Thicket Representation for Multi-sentence Search. ICCS 2013: 153-172 - [c52]Sergei O. Kuznetsov:
Fitting Pattern Structures to Knowledge Discovery in Big Data. ICFCA 2013: 254-266 - [c51]Aleksey Buzmakov, Elias Egho, Nicolas Jay, Sergei O. Kuznetsov, Amedeo Napoli, Chedy Raïssi:
FCA and pattern structures for mining care trajectories. FCA4AI@IJCAI 2013: 7-14 - [c50]Sergei O. Kuznetsov:
Scalable Knowledge Discovery in Complex Data with Pattern Structures. PReMI 2013: 30-39 - [c49]Boris A. Galitsky, Dmitry I. Ilvovsky, Sergei O. Kuznetsov, Fedor Strok:
Matching sets of parse trees for answering multi-sentence questions. RANLP 2013: 285-293 - [e7]Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, Stefan M. Rüger, Eugene Agichtein, Ilya Segalovich, Emine Yilmaz:
Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings. Lecture Notes in Computer Science 7814, Springer 2013, ISBN 978-3-642-36972-8 [contents] - [e6]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI 2013), Beijing, China, August 5, 2013. CEUR Workshop Proceedings 1058, CEUR-WS.org 2013 [contents] - 2012
- [j17]Vera V. Pankratieva, Sergei O. Kuznetsov:
Relations between Proto-fuzzy Concepts, Crisply Generated Fuzzy Concepts, and Interval Pattern Structures. Fundam. Informaticae 115(4): 265-277 (2012) - [j16]Artem Revenko, Sergei O. Kuznetsov:
Attribute Exploration of Properties of Functions on Sets. Fundam. Informaticae 115(4): 377-394 (2012) - [j15]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) - [c48]Artem Revenko, Sergei O. Kuznetsov:
Finding Errors in New Object Intents. CLA 2012: 151-162 - [c47]Yasmine Asses, Aleksey Buzmakov, Thomas Bourquard, Sergei O. Kuznetsov, Amedeo Napoli:
A Hybrid Classification Approach based on FCA and Emerging Patterns - An application for the classification of biological inhibitors. CLA 2012: 211-222 - [c46]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
A New Approach to Classification by Means of Jumping Emerging Patterns. FCA4AI@ECAI 2012: 15-22 - [c45]Artem Revenko, Sergei O. Kuznetsov, Bernhard Ganter:
Finding Errors in New Object in Formal Contexts. FCA4AI@ECAI 2012: 65-72 - [c44]Sergei O. Kuznetsov, Alexey A. Neznanov, Jonas Poelmans:
A System for Knowledge Discovery in Big Dynamical Text Collections. FCA4AI@ECAI 2012: 81-87 - [c43]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Juraj Macko, Wagner Meira Jr.:
Caractérisation et extraction de biclusters de valeurs similaires avec l'analyse de concepts triadiques. EGC 2012: 65-76 - [c42]Dmitry I. Ignatov, Sergei O. Kuznetsov, Jonas Poelmans:
Concept-Based Biclustering for Internet Advertisement. ICDM Workshops 2012: 123-130 - [c41]Mikhail A. Babin, Sergei O. Kuznetsov:
Approximating Concept Stability. ICFCA 2012: 7-15 - [c40]Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov:
Human-Centered Text Mining: A New Software System. ICDM 2012: 258-272 - [c39]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 - [c38]Jonas Poelmans, Herman Van der Mussele, Gerda Verheyden, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov, Alexey Neznanov:
CORDIET - Healthcare: Extracting knowledge from electronic patient record data. Nursing Informatics 2012 - [e5]Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph:
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI@ECAI 2012, Montpellier, France, August 28, 2012. CEUR Workshop Proceedings 939, CEUR-WS.org 2012 [contents] - [i5]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
- [j14]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Sébastien Duplessis:
Mining gene expression data with pattern structures in formal concept analysis. Inf. Sci. 181(10): 1989-2001 (2011) - [c37]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli:
Mining Biclusters of Similar Values with Triadic Concept Analysis. CLA 2011: 175-190 - [c36]Boris A. Galitsky, Gabor Dobrocsi, Josep Lluís de la Rosa, Sergei O. Kuznetsov:
Using Generalization of Syntactic Parse Trees for Taxonomy Capture on the Web. ICCS 2011: 104-117 - [c35]Jonas Poelmans, Paul Elzinga, Guido Dedene, Stijn Viaene, Sergei O. Kuznetsov:
A Concept Discovery Approach for Fighting Human Trafficking and Forced Prostitution. ICCS 2011: 201-214 - [c34]Mikhail A. Babin, Sergei O. Kuznetsov:
Enumerating Minimal Hypotheses and Dualizing Monotone Boolean Functions on Lattices. ICFCA 2011: 42-48 - [c33]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Biclustering Numerical Data in Formal Concept Analysis. ICFCA 2011: 135-150 - [c32]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Numerical Pattern Mining with Formal Concept Analysis. IJCAI 2011: 1342-1347 - [c31]Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Sergei O. Kuznetsov:
Text Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research. ICDM (Poster and Industry Proceedings) 2011: 82-96 - [c30]P. Agarwal, Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli, Géraldine Polaillon:
Symbolic Galois Lattices with Pattern Structures. RSFDGrC 2011: 191-198 - [c29]Dmitry I. Ignatov, Sergei O. Kuznetsov, Ruslan A. Magizov, Leonid E. Zhukov:
From Triconcepts to Triclusters. RSFDGrC 2011: 257-264 - [c28]Lev Itskovich, Sergei O. Kuznetsov:
Machine Learning Methods in Character Recognition. RSFDGrC 2011: 322-329 - [e4]Sergei O. Kuznetsov, Deba Prasad Mandal, Malay Kumar Kundu, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 4th International Conference, PReMI 2011, Moscow, Russia, June 27 - July 1, 2011. Proceedings. Lecture Notes in Computer Science 6744, Springer 2011, ISBN 978-3-642-21785-2 [contents] - [e3]Sergei O. Kuznetsov, Dominik Slezak, Daryl H. Hepting, Boris G. Mirkin:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6743, Springer 2011, ISBN 978-3-642-21880-4 [contents] - [i4]Mehdi Kaytoue, Sergei O. Kuznetsov, Juraj Macko, Wagner Meira Jr., Amedeo Napoli:
Mining Biclusters of Similar Values with Triadic Concept Analysis. CoRR abs/1111.3270 (2011) - [i3]Mehdi Kaytoue, Sergei O. Kuznetsov, Amedeo Napoli:
Revisiting Numerical Pattern Mining with Formal Concept Analysis. CoRR abs/1111.5689 (2011) - 2010
- [j13]Radim Belohlávek, Sergei O. Kuznetsov:
Preface to special issue on concept lattice and their applications 2008. Ann. Math. Artif. Intell. 59(2): 149-150 (2010) - [j12]Radim Belohlávek, Sergei O. Kuznetsov:
Erratum: Preface to special issue on concept lattice and their applications 2008. Ann. Math. Artif. Intell. 59(2): 273 (2010) - [c27]Mehdi Kaytoue, Zainab Assaghir, Amedeo Napoli, Sergei O. Kuznetsov:
Embedding tolerance relations in formal concept analysis: an application in information fusion. CIKM 2010: 1689-1692 - [c26]Vera V. Pankratieva, Sergei O. Kuznetsov:
Relations between Proto-fuzzy concepts, Crisply Generated Fuzzy Concepts, and Interval Pattern Structures. CLA 2010: 50-59 - [c25]Mikhail A. Babin, Sergei O. Kuznetsov:
Recognizing Pseudo-intents is coNP-complete. CLA 2010: 294-301 - [c24]Artem Revenko, Sergei O. Kuznetsov:
Attribute Exploration of Properties of Functions on Ordered Sets. CLA 2010: 313-324 - [c23]Boris A. Galitsky, Gabor Dobrocsi, Josep Lluís de la Rosa, Sergei O. Kuznetsov:
From Generalization of Syntactic Parse Trees to Conceptual Graphs. ICCS 2010: 185-190 - [c22]Mikhail A. Babin, Sergei O. Kuznetsov:
On Links between Concept Lattices and Related Complexity Problems. ICFCA 2010: 138-144
2000 – 2009
- 2009
- [c21]Dmitry I. Ignatov, Sergei O. Kuznetsov:
Frequent Itemset Mining for Clustering Near Duplicate Web Documents. ICCS 2009: 185-200 - [c20]Mehdi Kaytoue-Uberall, Sébastien Duplessis, Sergei O. Kuznetsov, Amedeo Napoli:
Two FCA-Based Methods for Mining Gene Expression Data. ICFCA 2009: 251-266 - [c19]Sergei O. Kuznetsov:
Pattern Structures for Analyzing Complex Data. RSFDGrC 2009: 33-44 - [e2]Sebastian Rudolph, Frithjof Dau, Sergei O. Kuznetsov:
Conceptual Structures: Leveraging Semantic Technologies, 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009. Proceedings. Lecture Notes in Computer Science 5662, Springer 2009, ISBN 978-3-642-03078-9 [contents] - [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) - 2008
- [j11]Sergei O. Kuznetsov, Sergei A. Obiedkov:
Some decision and counting problems of the Duquenne-Guigues basis of implications. Discret. Appl. Math. 156(11): 1994-2003 (2008) - [j10]Boris A. Galitsky, Sergei O. Kuznetsov:
Learning communicative actions of conflicting human agents. J. Exp. Theor. Artif. Intell. 20(4): 277-317 (2008) - [c18]Boris A. Galitsky, Sergei O. Kuznetsov:
Scenario Argument Structure vs Individual Claim Defeasibility: What Is More Important for Validity Assessment?. ICCS 2008: 282-296 - [c17]Bernhard Ganter, Sergei O. Kuznetsov:
Scale Coarsening as Feature Selection. ICFCA 2008: 217-228 - 2007
- [j9]Sergei O. Kuznetsov:
On stability of a formal concept. Ann. Math. Artif. Intell. 49(1-4): 101-115 (2007) - [j8]Boris A. Galitsky, Sergei O. Kuznetsov, Dmitry V. Vinogradov:
Applying hybrid reasoning to mine for associative features in biological data. J. Biomed. Informatics 40(3): 203-220 (2007) - [c16]Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznetsov:
ZART: A Multifunctional Itemset Mining Algorithm. CLA 2007 - [c15]Sergei O. Kuznetsov, Sergei A. Obiedkov, Camille Roth:
Reducing the Representation Complexity of Lattice-Based Taxonomies. ICCS 2007: 241-254 - [c14]Boris A. Galitsky, Boris Kovalerchuk, Sergei O. Kuznetsov:
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. ICCS 2007: 387-400 - [c13]Sergei O. Kuznetsov:
Computing Graph-Based Lattices from Smallest Projections. KONT/KPP 2007: 35-47 - [e1]Sergei O. Kuznetsov, Stefan Schmidt:
Formal Concept Analysis, 5th International Conference, ICFCA 2007, Clermont-Ferrand, France, February 12-16, 2007, Proceedings. Lecture Notes in Computer Science 4390, Springer 2007, ISBN 3-540-70828-6 [contents] - 2006
- [c12]Sergei O. Kuznetsov, Sergei A. Obiedkov:
Counting Pseudo-intents and #P-completeness. ICFCA 2006: 306-308 - 2005
- [c11]Sergei O. Kuznetsov:
Galois Connections in Data Analysis: Contributions from the Soviet Era and Modern Russian Research. Formal Concept Analysis 2005: 196-225 - [c10]Boris A. Galitsky, Sergei O. Kuznetsov, Mikhail V. Samokhin:
Analyzing Conflicts with Concept-Based Learning. ICCS 2005: 307-322 - [c9]Sergei O. Kuznetsov, Mikhail V. Samokhin:
Learning Closed Sets of Labeled Graphs for Chemical Applications. ILP 2005: 190-208 - 2004
- [j7]Sergei O. Kuznetsov:
Complexity of learning in concept lattices from positive and negative examples. Discret. Appl. Math. 142(1-3): 111-125 (2004) - [j6]Sergei O. Kuznetsov:
On the Intractability of Computing the Duquenne?Guigues Bas. J. Univers. Comput. Sci. 10(8): 927-933 (2004) - [c8]Bernhard Ganter, Peter A. Grigoriev, Sergei O. Kuznetsov, Mikhail V. Samokhin:
Concept-Based Data Mining with Scaled Labeled Graphs. ICCS 2004: 94-108 - [c7]Sergei O. Kuznetsov:
Machine Learning and Formal Concept Analysis. ICFCA 2004: 287-312 - 2003
- [j5]V. G. Blinova, D. A. Dobrynin, Victor K. Finn, Sergei O. Kuznetsov, E. S. Pankratova:
Toxicology Analysis by Means of the JSM-method. Bioinform. 19(10): 1201-1207 (2003) - [c6]Bernhard Ganter, Sergei O. Kuznetsov:
Hypotheses and Version Spaces. ICCS 2003: 83-95 - 2002
- [j4]Sergei O. Kuznetsov, Sergei A. Obiedkov:
Comparing performance of algorithms for generating concept lattices. J. Exp. Theor. Artif. Intell. 14(2-3): 189-216 (2002) - 2001
- [j3]Sergei O. Kuznetsov:
On Computing the Size of a Lattice and Related Decision Problems. Order 18(4): 313-321 (2001) - [c5]Bernhard Ganter, Sergei O. Kuznetsov:
Pattern Structures and Their Projections. ICCS 2001: 129-142 - [c4]Sergei O. Kuznetsov, Sergei A. Obiedkov:
Algorithms for the Construction of Concept Lattices and Their Diagram Graphs. PKDD 2001: 289-300 - 2000
- [c3]Bernhard Ganter, Sergei O. Kuznetsov:
Formalizing Hypotheses with Concepts. ICCS 2000: 342-356
1990 – 1999
- 1999
- [c2]Sergei O. Kuznetsov:
Learning of Simple Conceptual Graphs from Positive and Negative Examples. PKDD 1999: 384-391 - 1998
- [c1]Bernhard Ganter, Sergei O. Kuznetsov:
Stepwise Construction of the Dedekind-MacNeille Completion (Research Note). ICCS 1998: 295-302 - 1992
- [j2]L. V. Kravchinsky, Sergei O. Kuznetsov, Irina V. Nuidel, Alexander G. Khobotov, A. U. Sharov, Vladimir G. Yakhno:
Application of neural networks for analyzing and encoding of fingerprints. Neurocomputing 4(1): 65-74 (1992) - 1991
- [j1]Nikolai S. Belliustin, Sergei O. Kuznetsov, Irina V. Nuidel, Vladimir G. Yakhno:
Neural networks with close nonlocal coupling for analyzing composite image. Neurocomputing 3(5): 231-246 (1991)
Coauthor Index
Mehdi Kaytoue-Uberall
aka: Mehdi Kaytoue
aka: Mehdi Kaytoue
Mikhail Yu. Khachay
aka: Michael Yu. Khachay
aka: Michael Yu. Khachay
[j39] [c106] [c105] [c104] [e37] [j38] [j37] [c102] [c101] [e36] [e35] [e34] [i21] [i20] [c96] [c95] [e33] [e32] [e31] [c92] [c91] [c90] [p1] [e29] [e28] [e27] [i18] [i17] [c89] [c88] [e25] [c86] [c84] [e24] [e23] [e22] [e21] [c83] [e20] [i12] [j30] [e15] [j28] [c71] [c70] [c67] [c66] [e12] [i9] [i8] [i7] [j26] [c61] [c60] [c59] [c58] [e8] [c57] [c51] [e6] [c47] [c46] [c43] [e5] [j14] [c37] [c33] [c32] [c30] [i4] [i3] [c27] [c20] [c16]
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