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ORCIDAmedeo Napoli
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- affiliation: INRIA, France
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2020 – today
- 2024
[j53]Aleksey Buzmakov, Egor Dudyrev
, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Data complexity: An FCA-based approach. Int. J. Approx. Reason. 165: 109084 (2024)- [c230]Eric George Parakal, Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Document Classification via Stable Graph Patterns and Conceptual AMR Graphs. CONCEPTS 2024: 286-301 - [i27]Jaume Baixeries, Amedeo Napoli:
A minimal base or a direct base? That is the question! CoRR abs/2404.12229 (2024) - 2023
- [j52]Nacira Abbas, Alexandre Bazin, Jérôme David, Amedeo Napoli:
Discovery of link keys in resource description framework datasets based on pattern structures. Int. J. Approx. Reason. 161: 108978 (2023) - [c229]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Three Views on Dependency Covers from an FCA Perspective. ICFCA 2023: 78-94 - [c228]Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Description Quivers for Compact Representation of Concept Lattices and Ensembles of Decision Trees. ICFCA 2023: 127-142 - [c227]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Dependency Covers from an FCA Perspective. FCA4AI@IJCAI 2023: 57-68 - [c226]Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli:
Constructing Decision Quivers. FCA4AI@IJCAI 2023: 57-68 - [e25]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] - 2022
- [j51]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) - [j50]Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes, Amedeo Napoli:
Steps towards causal Formal Concept Analysis. Int. J. Approx. Reason. 142: 338-348 (2022) - [j49]Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli:
A study of algorithms relating distributive lattices, median graphs, and Formal Concept Analysis. Int. J. Approx. Reason. 142: 370-382 (2022) - [j48]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) - [j47]Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Discovering alignment relations with Graph Convolutional Networks: A biomedical case study. Semantic Web 13(3): 379-398 (2022) - [c225]Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
Experimental Study of Concise Representations of Concepts and Dependencies. CLA 2022: 117-132 - [c224]Nacira Abbas, Alexandre Bazin, Jérôme David, Amedeo Napoli:
A Study of the Discovery and Redundancy of Link Keys Between Two RDF Datasets Based on Partition Pattern Structures. CLA 2022: 175-189 - [c223]Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli:
△-Closure Structure for Studying Data Distribution. ICDM 2022: 867-872 - [p8]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Computing Dependencies Using FCA. Complex Data Analytics with Formal Concept Analysis 2022: 135-150 - [p7]Alain Gély, Miguel Couceiro, Amedeo Napoli:
Towards Distributivity in FCA for Phylogenetic Data. Complex Data Analytics with Formal Concept Analysis 2022: 225-237 - [e24]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] - [e23]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] - [e22]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] - [i26]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) - [i25]Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Delta-Closure Structure for Studying Data Distribution. CoRR abs/2210.06926 (2022) - [i24]Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
Clarity: an improved gradient method for producing quality visual counterfactual explanations. CoRR abs/2211.15370 (2022) - 2021
- [c222]Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli:
Reducing Unintended Bias of ML Models on Tabular and Textual Data. DSAA 2021: 1-10 - [c221]Nacira Abbas, Jérôme David, Amedeo Napoli:
LKSA : un algorithme de sélection de clés de liage dans des données RDF guidée par des paires de classes. EGC 2021: 205-216 - [c220]Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes, Amedeo Napoli:
An Approach to Identifying the Most Predictive and Discriminant Features in Supervised Classification Problems. ICCS 2021: 48-56 - [c219]Nacira Abbas, Alexandre Bazin, Jérôme David, Amedeo Napoli:
Sandwich: An Algorithm for Discovering Relevant Link Keys in an LKPS Concept Lattice. ICFCA 2021: 243-251 - [c218]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 - [c217]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Likely-Occurring Itemsets for Pattern Mining. FCA4AI@IJCAI 2021: 39-50 - [c216]Nacira Abbas, Alexandre Bazin, Jérôme David, Amedeo Napoli:
Non-Redundant Link Keys in RDF Data: Preliminary Steps. FCA4AI@IJCAI 2021: 125-130 - [c215]Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. ECML/PKDD (5) 2021: 135-150 - [e21]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] - [e20]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] - [e19]Miguel Couceiro, Pierre Monnin, Amedeo Napoli:
Proceedings of the First International Conference "Algebras, graphs and ordered sets", ALGOS 2020, Online (originally planned in Nancy, France), August 26-28, 2020. CEUR Workshop Proceedings 2925, CEUR-WS.org 2021 [contents] - [e18]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] - [i23]Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Neural Network based on Dropout Regulation. CoRR abs/2102.01968 (2021) - [i22]Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. CoRR abs/2104.09970 (2021) - [i21]Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli:
Reducing Unintended Bias of ML Models on Tabular and Textual Data. CoRR abs/2108.02662 (2021) - 2020
- [j46]Manuel Atencia, Jérôme David, Jérôme Euzenat, Amedeo Napoli, Jérémy Vizzini:
Link key candidate extraction with relational concept analysis. Discret. Appl. Math. 273: 2-20 (2020) - [j45]Dhouha Grissa, Blandine Comte, Mélanie Pétéra, Estelle Pujos-Guillot, Amedeo Napoli:
A hybrid and exploratory approach to knowledge discovery in metabolomic data. Discret. Appl. Math. 273: 103-116 (2020) - [c214]Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
Making ML Models Fairer Through Explanations: The Case of LimeOut. AIST 2020: 3-18 - [c213]Pierre Monnin, Emmanuel Bresso, Miguel Couceiro, Malika Smaïl-Tabbone, Amedeo Napoli, Adrien Coulet:
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study. ALGOS 2020: 123-137 - [c212]Alexandre Bazin, Miguel Couceiro, Marie-Dominique Devignes, Amedeo Napoli:
Explaining Multicriteria Decision Making with Formal Concept Analysis. CLA 2020: 119-130 - [c211]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Gradual Discovery with Closure Structure of a Concept Lattice. CLA 2020: 145-157 - [c210]Nacira Abbas, Jérôme David, Amedeo Napoli:
Discovery of Link Keys in RDF Data Based on Pattern Structures: Preliminary Steps. CLA 2020: 235-246 - [c209]Alain Gély, Miguel Couceiro, Laurent Miclet, Amedeo Napoli:
Steps in the Representation of Concept Lattices and Median Graphs. CLA 2020: 247-258 - [c208]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Building a Representation Context Based on Attribute Exploration Algorithms. FCA4AI@ECAI 2020: 141-152 - [c207]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Adaptive Multi-model Approaches to Pattern Set Mining. STAIRS@ECAI 2020 - [c206]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Closure Structure: a Deeper Insight. FCA4AI@ECAI 2020: 45-56 - [c205]Amedeo Napoli, Miguel Couceiro, Guilherme Alves:
Sélection de mesures de similarité pour la classification de données catégorielles. EGC 2020: 325-332 - [c204]Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet:
Knowledge-Based Matching of n-ary Tuples. ICCS 2020: 48-56 - [c203]Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
LimeOut: An Ensemble Approach to Improve Process Fairness. PKDD/ECML Workshops 2020: 475-491 - [p6]Béatrice Fuchs, Jean Lieber, Laurent Miclet, Alain Mille, Amedeo Napoli, Henri Prade, Gilles Richard:
Case-Based Reasoning, Analogy, and Interpolation. A Guided Tour of Artificial Intelligence Research (1) (I) 2020: 307-339 - [p5]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 - [p4]Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli:
Order-Preserving Biclustering Based on FCA and Pattern Structures. Complex Pattern Mining 2020: 47-62 - [e17]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] - [e16]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] - [e15]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] - [i20]Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet:
Knowledge Reconciliation of n-ary Relations. CoRR abs/2002.08103 (2020) - [i19]Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
LimeOut: An Ensemble Approach To Improve Process Fairness. CoRR abs/2006.10531 (2020) - [i18]Pierre Monnin, Emmanuel Bresso, Miguel Couceiro, Malika Smaïl-Tabbone, Amedeo Napoli, Adrien Coulet:
Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study. CoRR abs/2007.08821 (2020) - [i17]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Discovery data topology with the closure structure. Theoretical and practical aspects. CoRR abs/2010.02628 (2020) - [i16]Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli:
Making ML models fairer through explanations: the case of LimeOut. CoRR abs/2011.00603 (2020) - [i15]Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Rediscovering alignment relations with Graph Convolutional Networks. CoRR abs/2011.06023 (2020) - [i14]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
- [j44]Pierre Monnin, Joël Legrand, Graziella Husson, Patrice Ringot, Andon Tchechmedjiev, Clément Jonquet, Amedeo Napoli, Adrien Coulet:
PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison. BMC Bioinform. 20-S(4): 139:1-139:16 (2019) - [c202]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
Numerical Pattern Mining Through Compression. DCC 2019: 112-121 - [c201]Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli:
A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure. DS 2019: 51-60 - [c200]Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Knowledge Reconciliation with Graph Convolutional Networks: Preliminary Results. DL4KG@ESWC 2019: 47-56 - [c199]Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli:
Application des Pattern Structures à la découverte de biclusters à changements de signes cohérents. EGC 2019: 285-290 - [c198]Justine Reynaud, Yannick Toussaint, Amedeo Napoli:
Redescription Mining for Learning Definitions and Disjointness Axioms in Linked Open Data. ICCS 2019: 175-189 - [c197]Nyoman Juniarta, Víctor Codocedo, Miguel Couceiro, Mehdi Kaytoue, Amedeo Napoli:
Pattern Structures for Identifying Biclusters with Coherent Sign Changes. ICFCA (Supplements) 2019: 1-13 - [c196]Miguel Couceiro, Amedeo Napoli:
Elements About Exploratory, Knowledge-Based, Hybrid, and Explainable Knowledge Discovery. ICFCA 2019: 3-16 - [c195]Nacira Abbas, Jérôme David, Amedeo Napoli:
Linkex: A Tool for Link Key Discovery Based on Pattern Structures. ICFCA (Supplements) 2019: 33-38 - [c194]Justine Reynaud, Yannick Toussaint, Amedeo Napoli:
Using Redescriptions and Formal Concept Analysis for Mining Definitions in Linked Data. ICFCA 2019: 241-256 - [c193]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Sampling Representation Contexts with Attribute Exploration. ICFCA 2019: 307-314 - [c192]Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
On Coupling FCA and MDL in Pattern Mining. ICFCA 2019: 332-340 - [c191]Manuel Atencia, Jérôme David, Jérôme Euzenat, Amedeo Napoli, Jerome Vizzini:
A Guided Walk into Link Key Candidate Extraction with Relational Concept Analysis. JT@ISWC 2019 - [e14]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] - 2018
- [j43]Mehwish Alam, Aleksey Buzmakov, Amedeo Napoli:
Exploratory knowledge discovery over Web of Data. Discret. Appl. Math. 249: 2-17 (2018) - [j42]Jaume Baixeries, Víctor Codocedo, Mehdi Kaytoue, Amedeo Napoli:
Characterizing approximate-matching dependencies in formal concept analysis with pattern structures. Discret. Appl. Math. 249: 18-27 (2018) - [c190]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
A First Study on What MDL Can Do for FCA. CLA 2018: 25-36 - [c189]Alain Gély, Miguel Couceiro, Amedeo Napoli:
Steps Towards Achieving Distributivity in Formal Concept Analysis. CLA 2018: 105-116 - [c188]Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli, Chedy Raïssi:
Sequential Pattern Mining using FCA and Pattern Structures for Analyzing Visitor Trajectories in a Museum. CLA 2018: 231-242 - [c187]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterizing Covers of Functional Dependencies using FCA. CLA 2018: 279-290 - [c186]Alain Gély, Miguel Couceiro, Yassine Namir, Amedeo Napoli:
Contribution à l'étude de la distributivité d'un treillis de concepts. EGC 2018: 107-118 - [c185]Justine Reynaud, Esther Galbrun, Mehwish Alam, Yannick Toussaint, Amedeo Napoli:
Définir les catégories de DBpédia avec des règles d'associations et des redescriptions. EGC 2018: 335-340 - [c184]Justine Reynaud, Yannick Toussaint, Amedeo Napoli:
Three Approaches for Mining Definitions from Relational Data in the Web of Data. FCA4AI@IJCAI 2018: 21-32 - [c183]Tatiana P. Makhalova, Sergei O. Kuznetsov, Amedeo Napoli:
MDL for FCA: Is There a Place for Background Knowledge? FCA4AI@IJCAI 2018: 45-56 - [c182]Nyoman Juniarta, Víctor Codocedo, Miguel Couceiro, Amedeo Napoli:
Biclustering Based on FCA and Partition Pattern Structures for Recommendation Systems. FCA4AI@IJCAI 2018: 105-116 - [c181]Pierre Monnin, Amedeo Napoli, Adrien Coulet:
Combining Concept Annotation and Pattern Structures for Guiding Ontology Mapping. FCA4AI@IJCAI 2018: 117-126 - [c180]Justine Reynaud, Yannick Toussaint, Amedeo Napoli:
Trois approches pour classifier les données du web des données(Three approaches for classifying data from web of data). CNIA+RJCIA 2018: 94-101 - [c179]Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli, Chedy Raïssi:
Sequence Mining within Formal Concept Analysis for Analyzing Visitor Trajectories. SMAP 2018: 19-24 - [e13]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] - [e12]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] - [e11]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] - [e10]Catherine Faron-Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint:
Knowledge Engineering and Knowledge Management - 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings. Lecture Notes in Computer Science 11313, Springer 2018, ISBN 978-3-030-03666-9 [contents] - [e9]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
- [c178]Younes Abid, Abdessamad Imine, Amedeo Napoli, Chedy Raïssi, Michaël Rusinowitch:
Two-Phase Preference Disclosure in Attributed Social Networks. DEXA (1) 2017: 249-263 - [c177]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Efficient Mining of Subsample-Stable Graph Patterns. ICDM 2017: 757-762 - [c176]Víctor Codocedo, Guillaume Bosc, Mehdi Kaytoue, Jean-François Boulicaut, Amedeo Napoli:
A Proposition for Sequence Mining Using Pattern Structures. ICFCA 2017: 106-121 - [c175]Quentin Brabant, Miguel Couceiro, Amedeo Napoli, Justine Reynaud:
From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures. ISMIS 2017: 622-631 - [c174]Pierre Monnin, Mario Lezoche, Amedeo Napoli, Adrien Coulet:
Using Formal Concept Analysis for Checking the Structure of an Ontology in LOD: The Example of DBpedia. ISMIS 2017: 674-683 - [c173]Justine Reynaud, Mehwish Alam, Yannick Toussaint, Amedeo Napoli:
A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures. ISMIS 2017: 684-694 - [e8]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] - [i13]Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Mining Best Closed Itemsets for Projection-antimonotonic Constraints in Polynomial Time. CoRR abs/1703.09513 (2017) - [i12]Pierre Monnin, Clément Jonquet, Joël Legrand, Amedeo Napoli, Adrien Coulet:
PGxO: A very lite ontology to reconcile pharmacogenomic knowledge units. PeerJ Prepr. 5: e3140 (2017) - 2016
- [j41]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) - [c172]Mehwish Alam, Thi Nhu Nguyen Le, Amedeo Napoli:
LatViz: A New Practical Tool for Performing Interactive Exploration over Concept Lattices. CLA 2016: 9-20 - [c171]Aleksey Buzmakov, Amedeo Napoli:
On Scaling of Fuzzy FCA to Pattern Structures. CLA 2016: 85-96 - [c170]Víctor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli:
Characterization of Order-like Dependencies with Formal Concept Analysis. CLA 2016: 123-134 - [c169]Dhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli:
A Hybrid Data Mining Approach for the Identification of Biomarkers in Metabolomic Data. CLA 2016: 161-174 - [c168]My Thao Tang, Aleksey Buzmakov, Yannick Toussaint, Amedeo Napoli:
Building a Domain Knowledge Model Based on a Concept Lattice Integrating Expert Constraints. CLA 2016: 349-362 - [c167]Younes Abid, Abdessamad Imine, Amedeo Napoli,