Sébastien Harispe

Orcid: 0000-0001-5630-2743

According to our database1, Sébastien Harispe authored at least 52 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players.
Proceedings of the 16th International Conference on Human System Interaction, 2024

2023
LSG Attention: Extrapolation of Pretrained Transformers to Long Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Analyse automatique d'arguments et apprentissage multi-tâches : un cas d'étude.
Rev. Ouverte Intell. Artif., 2022

Is Transfer Learning Helpful for Neural Combinatorial Optimization Applied to Vehicle Routing Problems?
Comput. Informatics, 2022

Fair and Efficient Alternatives to Shapley-based Attribution Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Neural Order-First Split-Second Algorithm for the Capacitated Vehicle Routing Problem.
Proceedings of the Optimization and Learning - 5th International Conference, 2022

On the Notion of Influence in Sensory Analysis.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021
Comparison of Deep Learning Approaches for Protective Behaviour Detection Under Class Imbalance from MoCap and EMG data.
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
On the evaluation of retrofitting for supervised short-text classification.
Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020), 2020

Classification One-Shot faiblement supervisée par réseaux de neurones récurrents avec attention : application à la détection de résultat juridique.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Apprentissage automatique pour l'optimisation combinatoire : étude du problème du voyageur de commerce.
Proceedings of the Conférence Nationale en Intelligence Artificielle, 2020

Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019
DÉfi Fouille de Textes 2019 : indexation par extraction et appariement textuel (DEFT 2019 : extraction-based document indexing and textual document similarity matching ).
Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Défi Fouille de Textes (atelier TALN-RECITAL), 2019

Selecting Relevant Association Rules From Imperfect Data.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Weakly Supervised One-Shot Classification Using Recurrent Neural Networks with Attention: Application to Claim Acceptance Detection.
Proceedings of the Legal Knowledge and Information Systems, 2019

Automatic Detection and Classification of Argument Components using Multi-task Deep Neural Network.
Proceedings of the 3rd International Conference on Natural Language and Speech Processing, 2019

IMT Mines Ales at HASOC 2019: Automatic Hate Speech Detection.
Proceedings of the Working Notes of FIRE 2019, 2019

Apports des bases de connaissances RDF à la détection de vérité et vice versa.
Proceedings of the IC 2019: 30es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 30th French Knowledge Engineering Conference), 2019

2018
Améliorer la recherche de vérité en exploitant la connaissance de domaines via les ontologies et les règles d'association.
Rev. d'Intelligence Artif., 2018

Truth selection for truth discovery models exploiting ordering relationship among values.
Knowl. Based Syst., 2018

Combining Truth Discovery and RDF Knowledge Bases to Their Mutual Advantage.
Proceedings of the Semantic Web - ISWC 2018, 2018

Réseaux de neurones récurrents multi-tâches pour l'analyse automatique d'arguments(Argument mining: A multi-task approach using deep neural networks).
Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

Identifying Criteria Most Influencing Strategy Performance: Application to Humanitarian Logistical Strategy Planning.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Etude d'une approche de Retour d'Expérience pour la découverte d'enseignements génériques dans le domaine humanitaire.
Proceedings of the IC 2018 : 29es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 29th French Knowledge Engineering Conference), 2018

Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models.
Proceedings of the Advances in Knowledge Discovery and Management, 2018

2017
Semantic Similarity from Natural Language and Ontology Analysis.
CoRR, 2017

Eliciting Implicit Evocations Using Word Embeddings and Knowledge Representation.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Un outil de catégorisation conceptuelle des formations professionnelles.
Proceedings of the IC 2017 : 28es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 28th French Knowledge Engineering Conference), 2017

Contribution à la recherche de vérité: modèles exploitant des règles d'association extraites d'une base de connaissances.
Proceedings of the IC 2017 : 28es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 28th French Knowledge Engineering Conference), 2017

Reconnaissance de sections et d'entités dans les décisions de justice : application des modèles probabilistes HMM et CRF.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Étude d'un modèle d'inférence de connaissances à partir de textes.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

2016
Fast and reliable inference of semantic clusters.
Knowl. Based Syst., 2016

Un modèle probabiliste pour la détection de l'incertitude dans le langage naturel.
Document Numérique, 2016

Uncertainty detection in natural language: a probabilistic model.
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016

How Can Ontologies Give You Clue for Truth-Discovery? An Exploratory Study.
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016

Summarizing conceptual descriptions using knowledge representations.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Towards a Non-oriented Approach for the Evaluation of Odor Quality.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Utilisation d'ontologies pour la quête de vérité : une étude expérimentale.
Proceedings of the IC 2016 : 27es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 27th French Knowledge Engineering Conference), 2016

2015
Semantic Similarity from Natural Language and Ontology Analysis
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02156-5, 2015

On the consideration of a bring-to-mind model for computing the Information Content of concepts defined into ontologies.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

USI at BioASQ 2015: a Semantic Similarity-based Approach for Semantic Indexing.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
Knowledge-based Semantic Measures: From Theory to Applications. (Mesures sémantiques à base de connaissance : de la théorie aux applicatifs).
PhD thesis, 2014

A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain.
J. Biomed. Informatics, 2014

An information theoretic approach to improve semantic similarity assessments across multiple ontologies.
Inf. Sci., 2014

The semantic measures library and toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies.
Bioinform., 2014

The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2014

Robust Selection of Domain-Specific Semantic Similarity Measures from Uncertain Expertise.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013
Semantic Measures for the Comparison of Units of Language, Concepts or Entities from Text and Knowledge Base Analysis.
CoRR, 2013

Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

From Theoretical Framework to Generic Semantic Measures Library.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Workshops, 2013

Mesures sémantiques basées sur la notion de projection RDF pour les systèmes de recommandation.
Proceedings of the IC 2013 : 24es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 24th French Knowledge Engineering Conference), 2013


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