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2020 – today
- 2024
[c76]Henri Prade
, Gilles Richard:
Diagrammatic Analogical Reasoning. Diagrams 2024: 485-489- [c75]Suryani Lim, Henri Prade, Gilles Richard:
Analogical Classifier as a Surrogate for Explanations. ECAI 2024: 938-945 - [c74]Stergos D. Afantenos, Henri Prade, Gilles Richard, Leonardo Cortez Bernardes:
Proportions analogiques et créativité: une étude préliminaire. JIAF-JFPDA 2024: 125-136 - [c73]Henri Prade, Gilles Richard:
Frank's Triangular Norms in Piaget's Logical Proportions. SUM 2024: 369-377 - [i4]Henri Prade, Gilles Richard:
Frank's triangular norms in Piaget's logical proportions. CoRR abs/2408.03795 (2024) - 2023
- [c72]Henri Prade, Gilles Richard:
First Steps Towards a Logic of Ordered Pairs. ECSQARU 2023: 198-209 - [c71]Henri Prade, Gilles Richard:
Premiers pas vers une logique des paires ordonnées. JIAF 2023: 104-112 - [i3]Suryani Lim, Henri Prade, Gilles Richard:
Analogical Relevance Index. CoRR abs/2301.04134 (2023) - 2022
- [c70]Stergos D. Afantenos, Suryani Lim, Henri Prade, Gilles Richard:
Theoretical Study and Empirical Investigation of Sentence Analogies. IARML@IJCAI 2022: 15-28 - [c69]Henri Prade, Gilles Richard:
Explications analogiques. LFA 2022 - [c68]Suryani Lim, Henri Prade, Gilles Richard:
Using Analogical Proportions for Explanations. SUM 2022: 309-325 - [c67]Sebastian Link, Henri Prade, Gilles Richard:
Analogical Proportions, Multivalued Dependencies and Explanations. SUM 2022: 351-360 - [i2]Myriam Bounhas, Henri Prade, Gilles Richard:
Some recent advances in reasoning based on analogical proportions. CoRR abs/2212.11717 (2022) - 2021
- [j19]Henri Prade, Gilles Richard:
Multiple analogical proportions. AI Commun. 34(3): 211-228 (2021) - [j18]Suryani Lim, Henri Prade, Gilles Richard:
Classifying and completing word analogies by machine learning. Int. J. Approx. Reason. 132: 1-25 (2021) - [c66]Jim Radford, Gilles Richard, Hugo Richard, Mathieu Serrurier:
Detecting Dyslexia from Audio Records: An AI Approach. HEALTHINF 2021: 58-66 - [c65]Stergos D. Afantenos, Tarek Kunze, Suryani Lim, Henri Prade, Gilles Richard:
Analogies Between Sentences: Theoretical Aspects - Preliminary Experiments. ECSQARU 2021: 3-18 - [c64]Henri Prade, Gilles Richard:
Analogical Querying? FQAS 2021: 17-28 - [c63]Henri Prade, Gilles Richard:
Analogical Proportions: Why They Are Useful in AI. IJCAI 2021: 4568-4576 - 2020
- [c62]Miguel Couceiro, Erkko Lehtonen, Laurent Miclet, Henri Prade, Gilles Richard:
When Nominal Analogical Proportions Do Not Fail. SUM 2020: 68-83 - [p3]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 - [i1]Gilles Richard, Mathieu Serrurier:
Dyslexia and Dysgraphia prediction: A new machine learning approach. CoRR abs/2005.06401 (2020)
2010 – 2019
- 2019
- [j17]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogical proportion-based methods for recommendation - First investigations. Fuzzy Sets Syst. 366: 110-132 (2019) - [j16]Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard, Ivan Varzinczak:
Editorial: Defeasible and Ampliative Reasoning. Int. J. Approx. Reason. 112: 1-3 (2019) - [c61]Nelly Barbot, Laurent Miclet, Henri Prade, Gilles Richard:
A New Perspective on Analogical Proportions. ECSQARU 2019: 163-174 - [c60]Suryani Lim, Henri Prade, Gilles Richard:
Solving Word Analogies: A Machine Learning Perspective. ECSQARU 2019: 238-250 - 2018
- [j15]Henri Prade, Gilles Richard:
Analogical proportions: From equality to inequality. Int. J. Approx. Reason. 101: 234-254 (2018) - [j14]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness-based classification: A new way of exploiting neighbors. Int. J. Intell. Syst. 33(12): 2379-2401 (2018) - [c59]Jean Lieber, Emmanuel Nauer, Henri Prade, Gilles Richard:
Making the Best of Cases by Approximation, Interpolation and Extrapolation. ICCBR 2018: 580-596 - [c58]Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard:
Behavior of Analogical Inference w.r.t. Boolean Functions. IJCAI 2018: 2057-2063 - 2017
- [j13]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness/evenness-based classifiers for Boolean or numerical data. Int. J. Approx. Reason. 82: 81-100 (2017) - [j12]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogy-based classifiers for nominal or numerical data. Int. J. Approx. Reason. 91: 36-55 (2017) - [c57]Henri Prade, Gilles Richard:
Analogical Inequalities. ECSQARU 2017: 3-9 - [c56]Henri Prade, Gilles Richard:
Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues. ECSQARU 2017: 10-21 - [c55]Richard Billingsley, Henri Prade, Gilles Richard, Mary-Anne Williams:
Towards Analogy-Based Decision - A Proposal. FQAS 2017: 28-35 - [c54]Henri Prade, Gilles Richard:
Analogical Proportions and Analogical Reasoning - An Introduction. ICCBR 2017: 16-32 - [c53]Henri Prade, Gilles Richard:
A Discussion of Analogical-Proportion Based Inference. ICCBR (Workshops) 2017: 73-82 - [c52]Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard:
Analogy-preserving functions: A way to extend Boolean samples. IJCAI 2017: 1575-1581 - 2016
- [j11]Didier Dubois, Henri Prade, Gilles Richard:
Multiple-valued extensions of analogical proportions. Fuzzy Sets Syst. 292: 193-202 (2016) - [j10]William Correa Beltran, Henri Prade, Gilles Richard:
Constructive Solving of Raven's IQ Tests with Analogical Proportions. Int. J. Intell. Syst. 31(11): 1072-1103 (2016) - [c51]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogical Classifiers: A Theoretical Perspective. ECAI 2016: 689-697 - [c50]Myriam Bounhas, Henri Prade, Gilles Richard:
Not Being at Odds with a Class: A New Way of Exploiting Neighbors for Classification. ECAI 2016: 1662-1663 - [c49]Nicolas Hug, Henri Prade, Gilles Richard, Mathieu Serrurier:
Analogy in recommendation. Numerical vs. ordinal: A discussion. FUZZ-IEEE 2016: 2220-2226 - [c48]Henri Prade, Gilles Richard:
On Different Ways to be (dis)similar to Elements in a Set. Boolean Analysis and Graded Extension. IPMU (2) 2016: 605-618 - [c47]Marc Pirlot, Henri Prade, Gilles Richard:
Completing Preferences by Means of Analogical Proportions. MDAI 2016: 135-147 - [e4]Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard, Ivan Varzinczak:
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning (DARe-16) co-located with the 22th European Conference on Artificial Intelligence (ECAI 2016), The Hague, The Netherlands, August 29, 2016. CEUR Workshop Proceedings 1626, CEUR-WS.org 2016 [contents] - 2015
- [j9]Meriam Bayoudh, Emmanuel Roux, Gilles Richard, Richard Nock:
Structural knowledge learning from maps for supervised land cover/use classification: Application to the monitoring of land cover/use maps in French Guiana. Comput. Geosci. 76: 31-40 (2015) - [c46]Myriam Bounhas, Henri Prade, Gilles Richard:
A New View of Conformity and Its Application to Classification. ECSQARU 2015: 221-232 - [c45]Nicolas Hug, Henri Prade, Gilles Richard:
Experimenting Analogical Reasoning in Recommendation. ISMIS 2015: 69-78 - [c44]Myriam Bounhas, Henri Prade, Gilles Richard:
Oddness-Based Classifiers for Boolean or Numerical Data. KI 2015: 32-44 - [c43]Myriam Bounhas, Henri Prade, Gilles Richard:
Evenness-Based Reasoning with Logical Proportions Applied to Classification. SUM 2015: 139-154 - [e3]Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard, Ivan Varzinczak:
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning, DARe 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. CEUR Workshop Proceedings 1423, CEUR-WS.org 2015 [contents] - 2014
- [j8]Henri Prade, Gilles Richard:
Homogenous and Heterogeneous Logical Proportions. FLAP 1(1): 1-52 (2014) - [c42]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical classification: A new way to deal with examples. ECAI 2014: 135-140 - [c41]Henri Prade, Gilles Richard:
Proportional Reasoning in a Boolean Setting. DARe@ECAI 2014 - [c40]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical Classification: A Rule-Based View. IPMU (2) 2014: 485-495 - [c39]Myriam Bounhas, Henri Prade, Gilles Richard:
Analogical Classification: Handling Numerical Data. SUM 2014: 66-79 - [p2]Henri Prade, Gilles Richard:
A Short Introduction to Computational Trends in Analogical Reasoning. Computational Approaches to Analogical Reasoning 2014: 1-22 - [p1]Henri Prade, Gilles Richard:
From Analogical Proportion to Logical Proportions: A Survey. Computational Approaches to Analogical Reasoning 2014: 217-244 - [e2]Richard Booth, Giovanni Casini, Szymon Klarman, Gilles Richard, Ivan Varzinczak:
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning, DARe@ECAI 2014, co-located with the 21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic, August 19, 2014. CEUR Workshop Proceedings 1212, CEUR-WS.org 2014 [contents] - [e1]Henri Prade, Gilles Richard:
Computational Approaches to Analogical Reasoning: Current Trends. Studies in Computational Intelligence 548, Springer 2014, ISBN 978-3-642-54515-3 [contents] - 2013
- [j7]Henri Prade, Gilles Richard:
From Analogical Proportion to Logical Proportions. Logica Universalis 7(4): 441-505 (2013) - [c38]Ronei Marcos de Moraes, Liliane S. Machado, Henri Prade, Gilles Richard:
Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features. CIARP (1) 2013: 165-173 - [c37]Henri Prade, Gilles Richard:
Analogical Proportions and Multiple-Valued Logics. ECSQARU 2013: 497-509 - [c36]Henri Prade, Gilles Richard:
Picking the one that does not fit - A matter of logical proportions. EUSFLAT Conf. 2013 - [c35]Ronei Marcos de Moraes, Liliane S. Machado, Henri Prade, Gilles Richard:
Classification Based on Homogeneous Logical Proportions. SGAI Conf. 2013: 53-60 - 2012
- [j6]Meriam Bayoudh, Henri Prade, Gilles Richard:
Evaluation of analogical proportions through Kolmogorov complexity. Knowl. Based Syst. 29: 20-30 (2012) - [c34]William Fernando Correa, Henri Prade, Gilles Richard:
When intelligence is just a matter of copying. ECAI 2012: 276-281 - [c33]Henri Prade, Gilles Richard:
Logical Proportions - Further Investigations. IPMU (1) 2012: 208-218 - [c32]Henri Prade, Gilles Richard:
Homogeneous Logical Proportions: Their Uniqueness and Their Role in Similarity-Based Prediction. KR 2012 - [c31]William Fernando Correa, Henri Prade, Gilles Richard:
Trying to Understand How Analogical Classifiers Work. SUM 2012: 582-589 - 2011
- [j5]Henri Prade, Gilles Richard:
Cataloguing/analogizing: A nonmonotonic view. Int. J. Intell. Syst. 26(12): 1176-1195 (2011) - [c30]Henri Prade, Gilles Richard:
Analogy-Making for Solving IQ Tests: A Logical View. ICCBR 2011: 241-257 - [c29]Henri Prade, Gilles Richard:
Logical handling of analogical proportions in commonsense and transductive reasoning. SoCPaR 2011: 561-566 - 2010
- [c28]Henri Prade, Gilles Richard:
Logical Proportions - Typology and Roadmap. IPMU 2010: 757-767 - [c27]Henri Prade, Gilles Richard:
Multiple-Valued Logic Interpretations of Analogical, Reverse Analogical, and Paralogical Proportions. ISMVL 2010: 258-263 - [c26]Henri Prade, Gilles Richard:
Reasoning with Logical Proportions. KR 2010 - [c25]Meriam Bayoudh, Henri Prade, Gilles Richard:
A Kolmogorov Complexity View of Analogy: From Logical Modeling to Experimentations. SGAI Conf. 2010: 93-106 - [c24]Henri Prade, Gilles Richard, Bing Yao:
Classification by means of fuzzy analogy-related proportions - A preliminary report. SoCPaR 2010: 297-302
2000 – 2009
- 2009
- [c23]Henri Prade, Gilles Richard:
Testing Analogical Proportions with Google using Kolmogorov Information Theory. FLAIRS 2009 - [c22]Henri Prade, Gilles Richard:
Analogy, Paralogy and Reverse Analogy: Postulates and Inferences. KI 2009: 306-314 - [c21]Henri Prade, Gilles Richard:
Analogical proportions: another logical view. SGAI Conf. 2009: 121-134 - 2008
- [j4]Gilles Richard, Andrei Doncescu:
Spam filtering using Kolmogorov complexity analysis. Int. J. Web Grid Serv. 4(1): 136-148 (2008) - [c20]Andrei Doncescu, Gilles Richard, Muhamed Farmer:
Diagnostic and Therapy Prediction in Breast Cancer by Consistent Knowledge Discovery. CISIS 2008: 286-292 - [c19]Sihem Belabbes, Gilles Richard:
On Using SVM and Kolmogorov Complexity for Spam Filtering. FLAIRS 2008: 130-135 - 2007
- [c18]F. Faure, M. Lopusniac, Gilles Richard, Muhammad Farmer:
A complexity-based method for anti-spamming. ICDIM 2007: 315-320 - 2006
- [c17]Andrei Doncescu, Muhammad Farmer, Katsumi Inoue, Gilles Richard:
A web architecture for data mining in biology. AINA (2) 2006: 607-612 - 2005
- [c16]Andrei Doncescu, Katsumi Inoue, Muhammad Farmer, Gilles Richard:
A Web-Based Architecture for Inductive Logic Programming in Biology. ICEIS (2) 2005: 357-361 - 2004
- [c15]Mathieu Serrurier, Henri Prade, Gilles Richard:
A Simulated Annealing Framework for ILP. ILP 2004: 288-304 - 2003
- [c14]Henri Prade, Gilles Richard, Mathieu Serrurier:
On the Induction of Different Kinds of First-Order Fuzzy Rules. ECSQARU 2003: 370-381 - [c13]Henri Prade, Gilles Richard, Mathieu Serrurier:
Learning First Order Fuzzy Logic Rules. IFSA 2003: 702-709 - [c12]Henri Prade, Gilles Richard, Mathieu Serrurier:
Enriching Relational Learning with Fuzzy Predicates. PKDD 2003: 399-410 - 2002
- [j3]Andrei Doncescu, Julio Waissman, Gilles Richard, Gilles Roux:
Characterization of bio-chemical signals by inductive logic programming. Knowl. Based Syst. 15(1-2): 129-137 (2002) - [c11]Gilles Richard, Fatima Zohra Kettaf:
Proof Length as an Uncertainty Factor in ILP. Soft-Ware 2002: 128-140 - 2000
- [c10]Gilles Richard:
From disagreement sets to divergence levels in ILP. AI&M 2000 - [c9]Gilles Richard:
Identification in the Limit and Constraint ILP. ILP Work-in-progress reports 2000
1990 – 1999
- 1999
- [c8]Marc Sebban, Gilles Richard:
From Theoretical Learnability to Statistical Measures of the Learnable. IDA 1999: 3-14 - [c7]Gilles Richard:
Comparison between Programs and Concepts in ILP. JFPLC 1999: 75-88 - 1998
- [j2]Siva Anantharaman, Gilles Richard:
A Rewrite Mechanism for Logic Programs with Negation. Theor. Comput. Sci. 192(1): 77-106 (1998) - 1997
- [j1]Gilles Richard, Frédéric Saubion:
Answer Synthesis for CLP Programs with Negation. Log. J. IGPL 5(3): 1-36 (1997) - [c6]Gilles Richard, Frédéric Saubion, A. Tellez-Arenas:
Intensional Set Constraints. APPIA-GULP-PRODE 1997: 479-490 - [c5]Gilles Richard, Frédéric Saubion, A. Tellez-Arenas:
Intensional Sets Using Explicit Substitutions. ICFP 1997: 318 - 1996
- [c4]Gilles Richard, Frédéric Saubion:
Answers Synthesis for CLP with Negation. ECAI 1996: 200-204 - 1995
- [c3]Gilles Richard, Frédéric Saubion:
Constraint rewrite programs : a way to evaluate CLP programs. JFPLC 1995: 35-49 - [c2]Gilles Richard, Frédéric Saubion:
A Rewrite Approach for Constraint Logic Programming. LATIN 1995: 469-482 - [c1]Siva Anantharaman, Gilles Richard:
A Rewrite Mechanism for Logic Programs with Negation. RTA 1995: 163-178
Coauthor Index
[c76] [c75] [c74] [c73] [i4] [c72] [c71] [i3] [c70] [c69] [c68] [c67] [i2] [j19] [j18] [c65] [c64] [c63] [c62] [p3] [j17] [c61] [c60] [j15] [j14] [c59] [c58] [j13] [j12] [c57] [c56] [c55] [c54] [c53] [c52] [j11] [j10] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [j8] [c42] [c41] [c40] [c39] [p2] [p1] [e1] [j7] [c38] [c37] [c36] [c35] [j6] [c34] [c33] [c32] [c31] [j5] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c15] [c14] [c13] [c12]
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