Freddy Lécué

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 75

Top Venues

École nationale supérieure des mines de Saint-Étienne, France (PHD)

Education History

École nationale supérieure des mines de Saint-Étienne, France

PHD

Publications

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. AAAI (2024)
Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li
Better Explain Transformers by Illuminating Important Information. EACL (Findings) (2024)
Yong Guan, Freddy Lécué, Jiaoyan Chen, Ru Li, Jeff Z. Pan
Knowledge-Aware Neuron Interpretation for Scene Classification. AAAI (2024)
Danial Dervovic, Freddy Lécué, Nicolas Marchesotti, Daniele Magazzeni
Are Logistic Models Really Interpretable? CoRR (2024)
Krunal Kishor Patel, Guy Desaulniers, Andrea Lodi, Freddy Lécué
Explainable prediction of Qcodes for NOTAMs using column generation. J. Oper. Res. Soc. 75 (1) (2024)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. CoRR (2024)
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. CoRR (2024)
Yong Guan, Xiaozhi Wang, Lei Hou, Juanzi Li, Jeff Z. Pan, Jiaoyan Chen, Freddy Lécué
TacoERE: Cluster-aware Compression for Event Relation Extraction. LREC/COLING (2024)
Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lécué, Sanghamitra Dutta
Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs. CoRR (2024)
Linxin Song, Yan Cui, Ao Luo, Freddy Lécué, Irene Li
Better Explain Transformers by Illuminating Important Information. CoRR (2024)
Yong Guan, Freddy Lécué, Jiaoyan Chen, Ru Li, Jeff Z. Pan
Knowledge-Aware Neuron Interpretation for Scene Classification. CoRR (2024)
Ola Ahmad, Nicolas Béreux, Loïc Baret, Vahid Hashemi, Freddy Lécué
Causal Analysis for Robust Interpretability of Neural Networks. WACV (2024)
Yong Guan, Xiaozhi Wang, Lei Hou, Juanzi Li, Jeff Z. Pan, Jiaoyan Chen, Freddy Lécué
TacoERE: Cluster-aware Compression for Event Relation Extraction. CoRR (2024)
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. CoRR (2024)
Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values. CoRR (2024)
André Artelt, Shubham Sharma, Freddy Lécué, Barbara Hammer
The Effect of Data Poisoning on Counterfactual Explanations. CoRR (2024)
Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking. CoRR (2024)
Shubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso
REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. AIES (2023)
Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. NeurIPS (2023)
Yong Guan, Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Juanzi Li, Ru Li
Trigger-Argument based Explanation for Event Detection. ACL (Findings) (2023)
Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features. CoRR (2023)
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lécué, Daniele Magazzeni
Privacy-Preserving Algorithmic Recourse. CoRR (2023)
Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed
Task Adaptive Feature Transformation for One-Shot Learning. CoRR (2023)
Ola Ahmad, Nicolas Béreux, Vahid Hashemi, Freddy Lécué
Causal Analysis for Robust Interpretability of Neural Networks. CoRR (2023)
Nicholas Halliwell, Fabien Gandon, Freddy Lécué
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract). AAAI (2022)
Danial Dervovic, Nicolas Marchesotti, Freddy Lécué, Daniele Magazzeni
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. CoRR (2022)
Nicholas Halliwell, Fabien Gandon, Freddy Lécué
Impact of Injecting Ground Truth Explanations on Relational Graph Convolutional Networks and their Explanation Methods for Link Prediction on Knowledge Graphs. WI/IAT (2022)
Tom Bewley, Freddy Lécué
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. AAMAS (2022)
Ola Ahmad, Freddy Lécué
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. AAAI (2022)
Juliette Mattioli, Agnès Delaborde, Souhaiel Khalfaoui, Freddy Lécué, Henri Sohier, Frédéric Jurie
Empowering the trustworthiness of ML-based critical systems through engineering activities. CoRR (2022)
Ola Ahmad, Freddy Lécué
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. CoRR (2022)
Krunal Kishor Patel, Guy Desaulniers, Andrea Lodi, Freddy Lécué
Explainable prediction of Qcodes for NOTAMs using column generation. CoRR (2022)
Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Shumin Deng, Huajun Chen
Knowledge graph embeddings for dealing with concept drift in machine learning. J. Web Semant. 67 (2021)
Nicholas Halliwell, Fabien Gandon, Freddy Lécué
User Scored Evaluation of Non-Unique Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs. K-CAP (2021)
Clément Playout, Ola Ahmad, Freddy Lécué, Farida Cheriet
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems. CoRR (2021)
Nicholas Halliwell, Fabien Gandon, Freddy Lécué
A Simplified Benchmark for Non-ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks. ISWC (Posters/Demos/Industry) (2021)
Nicholas Halliwell, Fabien Gandon, Freddy Lécué
Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs. WI/IAT (2021)
Tom Bewley, Freddy Lécué
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. CoRR (2021)
Jiaoyan Chen, Freddy Lécué, Yuxia Geng, Jeff Z. Pan, Huajun Chen
Ontology-guided Semantic Composition for Zero-shot Learning. KR (2020)
François Gardères, Maryam Ziaeefard, Baptiste Abeloos, Freddy Lécué
ConceptBert: Concept-Aware Representation for Visual Question Answering. EMNLP (Findings) (2020)
Nicholas Halliwell, Freddy Lécué
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach. CoRR (2020)
Freddy Lécué
On the role of knowledge graphs in explainable AI. Semantic Web 11 (1) (2020)
Jiaoyan Chen, Freddy Lécué, Yuxia Geng, Jeff Z. Pan, Huajun Chen
Ontology-guided Semantic Composition for Zero-Shot Learning. CoRR (2020)
Luca Longo, Randy Goebel, Freddy Lécué, Peter Kieseberg, Andreas Holzinger
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. CD-MAKE (2020)
Rana Farah, Simon Hallé, Jiye Li, Freddy Lécué, Baptiste Abeloos, Dominique Perron, Juliette Mattioli, Pierre-Luc Gregoire, Sebastien Laroche, Michel Mercier, Paul Cocaud
Reasoning Engine for Support Maintenance. ISWC (2) (2020)
Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Guéret, Georgiana Ifrim, Freddy Lécué
Background Knowledge Injection for Interpretable Sequence Classification. CoRR (2020)
Maryam Ziaeefard, Freddy Lécué
Towards Knowledge-Augmented Visual Question Answering. COLING (2020)
Nicholas McCarthy, Mohammad Karzand, Freddy Lécué
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines. AAAI (2019)
Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen
Augmenting Transfer Learning with Semantic Reasoning. CoRR (2019)
Alvaro H. C. Correia, Freddy Lécué
Human-in-the-Loop Feature Selection. AAAI (2019)
Ryutaro Ichise, Stephen Muggleton, Kouji Kozaki, Freddy Lécué, Dongyan Zhao, Takahiro Kawamura
Special Issue on Semantic Technology. New Gener. Comput. 37 (4) (2019)
Freddy Lécué, Tanguy Pommellet
Feeding Machine Learning with Knowledge Graphs for Explainable Object Detection. ISWC (Satellites) (2019)
Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen
Augmenting Transfer Learning with Semantic Reasoning. IJCAI (2019)
Mingming Liu, Joe Naoum-Sawaya, Yingqi Gu, Freddy Lécué, Robert Shorten
A Distributed Markovian Parking Assist System. IEEE Trans. Intell. Transp. Syst. 20 (6) (2019)
Freddy Lécué
On The Role of Knowledge Graphs in Explainable AI. PROFILES/SEMEX@ISWC (2019)
Freddy Lécué, Baptiste Abeloos, Jonathan Anctil, Manuel Bergeron, Damien Dalla-Rosa, Simon Corbeil-Letourneau, Florian Martet, Tanguy Pommellet, Laura Salvan, Simon Veilleux, Maryam Ziaeefard
Thales XAI Platform: Adaptable Explanation of Machine Learning Systems - A Knowledge Graphs Perspective. ISWC (Satellites) (2019)
Xochitl Watts, Freddy Lécué
Local Score Dependent Model Explanation for Time Dependent Covariates. CoRR (2019)
Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger
Explainable AI: The New 42? CD-MAKE (2018)
Rory McGrath, Luca Costabello, Chan Le Van, Paul Sweeney, Farbod Kamiab, Zhao Shen, Freddy Lécué
Interpretable Credit Application Predictions With Counterfactual Explanations. CoRR (2018)
Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Ian Horrocks, Huajun Chen
Knowledge-based Transfer Learning Explanation. CoRR (2018)
Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Ian Horrocks, Huajun Chen
Knowledge-Based Transfer Learning Explanation. KR (2018)
Freddy Lécué, Jiewen Wu
Semantic Explanations of Predictions. CoRR (2018)
Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen
Learning from Ontology Streams with Semantic Concept Drift. CoRR (2017)
Freddy Lécué, Jiewen Wu
Explaining and predicting abnormal expenses at large scale using knowledge graph based reasoning. J. Web Semant. 44 (2017)
Jiewen Wu, Freddy Lécué, Christophe Guéret, Jer Hayes, Sara van de Moosdijk, Gemma Gallagher, Peter McCanney, Eugene Eichelberger
Personalizing Actions in Context for Risk Management Using Semantic Web Technologies. ISWC (2) (2017)
Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Huajun Chen
Learning from Ontology Streams with Semantic Concept Drift. IJCAI (2017)
Freddy Lécué
Deep Dive on Smart Cities by Scaling Reasoning and Interpreting the Semantics of IoT. EGC (2017)
Freddy Lécué
Applying Machine Reasoning and Learning in Real World Applications. Reasoning Web (2016)
Matthias Klusch, Patrick Kapahnke, Stefan Schulte, Freddy Lécué, Abraham Bernstein
Semantic Web Service Search: A Brief Survey. Künstliche Intell. 30 (2) (2016)
Raghava Mutharaju, Freddy Lécué, Jeff Z. Pan, Jiewen Wu, Pascal Hitzler
AI for Traffic Analytics. IEEE Intell. Informatics Bull. 17 (1) (2016)
Rik Eshuis, Freddy Lécué, Nikolay Mehandjiev
Flexible Construction of Executable Service Compositions from Reusable Semantic Knowledge. ACM Trans. Web 10 (1) (2016)
Freddy Lécué, John Vard, Jiewen Wu
Using Semantic Web Technologies for Explaining and Predicting Abnormal Expenses. ISWC (Posters & Demos) (2016)
Quan Yu, Hai Wan, Jiangtao Xu, Freddy Lécué, Liang Chang
Explanatory Diagnosis of an Ontology Stream via Reasoning About Actions. ECAI (2016)
Freddy Lécué
Scalable Maintenance of Knowledge Discovery in an Ontology Stream. IJCAI (2015)
Christoph Hochreiner, Stefan Schulte, Schahram Dustdar, Freddy Lécué
Elastic Stream Processing for Distributed Environments. IEEE Internet Comput. 19 (6) (2015)
Anika Schumann, Freddy Lécué
Minimizing User Involvement for Accurate Ontology Matching Problems. AAAI (2015)
Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36 (1) (2015)
Raghava Mutharaju, Pascal Hitzler, Prabhaker Mateti, Freddy Lécué
Distributed and Scalable OWL EL Reasoning. ESWC (2015)
Freddy Lécué, Jeff Z. Pan
Consistent Knowledge Discovery from Evolving Ontologies. AAAI (2015)
Joern Ploennigs, Anika Schumann, Freddy Lécué
Adapting Semantic Sensor Networks for Smart Building Diagnosis. ISWC (2) (2014)
Spyros Kotoulas, Vanessa López, Raymond Lloyd, Marco Luca Sbodio, Freddy Lécué, Martin Stephenson, Elizabeth M. Daly, Veli Bicer, Aris Gkoulalas-Divanis, Giusy Di Lorenzo, Anika Schumann, Pol Mac Aonghusa
SPUD - Semantic Processing of Urban Data. J. Web Semant. 24 (2014)
Jiewen Wu, Freddy Lécué
Towards Consistency Checking over Evolving Ontologies. CIKM (2014)
Joern Ploennigs, Anika Schumann, Freddy Lécué
Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems. ECAI (2014)
Freddy Lécué, Simone Tallevi-Diotallevi, Jer Hayes, Robert Tucker, Veli Bicer, Marco Luca Sbodio, Pierpaolo Tommasi
STAR-CITY: semantic traffic analytics and reasoning for CITY. IUI (2014)
Anika Schumann, Freddy Lécué, Joern Ploennigs
Exploiting the Semantic Web for Systems Diagnosis. ECAI (2014)
Freddy Lécué, Robert Tucker, Veli Bicer, Pierpaolo Tommasi, Simone Tallevi-Diotallevi, Marco Luca Sbodio
Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies. ESWC (2014)
Freddy Lécué, Simone Tallevi-Diotallevi, Jer Hayes, Robert Tucker, Veli Bicer, Marco Luca Sbodio, Pierpaolo Tommasi
Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City. J. Web Semant. (2014)
Freddy Lécué, Robert Tucker, Simone Tallevi-Diotallevi, Rahul Nair, Yiannis Gkoufas, Giuseppe Liguori, Mauro Borioni, Alexandre Rademaker, Luciano Barbosa
Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio. ISWC (2) (2014)
Freddy Lécué
Towards Scalable Exploration of Diagnoses in an Ontology Stream. AAAI (2014)
Simone Tallevi-Diotallevi, Spyros Kotoulas, Luca Foschini, Freddy Lécué, Antonio Corradi
Real-Time Urban Monitoring in Dublin Using Semantic and Stream Technologies. ISWC (2) (2013)
Liwei Liu, Freddy Lécué, Nikolay Mehandjiev
Semantic content-based recommendation of software services using context. ACM Trans. Web 7 (3) (2013)
Elizabeth M. Daly, Freddy Lécué, Veli Bicer
Westland row why so slow?: fusing social media and linked data sources for understanding real-time traffic conditions. IUI (2013)
Freddy Lécué
Towards Constructive Evidence of Data Flow-Oriented Web Service Composition. ISWC (1) (2013)
Freddy Lécué, Jeff Z. Pan
Predicting Knowledge in an Ontology Stream. IJCAI (2013)
Rik Eshuis, Freddy Lécué, Nikolay Mehandjiev
Flexible Construction of Complex Service Compositions from Reusable Semantic Knowledge. ICWS (2012)
Freddy Lécué, Nikolay Mehandjiev, Jürgen Vogel, Patrick Un, Bernhard Neu
KPI-Based Service Composition Modeling and Optimization with Design Time User Interaction. IEEE SCC (2012)
Freddy Lécué
Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach. AAAI (2012)
Marco Luca Sbodio, Freddy Lécué, Anika Schumann
A Prototype for Semantic based Diagnosis of Road Traffic Congestions. ISWC (Posters & Demos) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Freddy Lécué