Semantic Web Service Composition through a Matchmaking of Domain. - Freddy Lécué; Alain Léger (ECOWS, 2006)

Semantic Web Service Composition Based on a Closed World Assumption. - Freddy Lécué; Alain Léger (ECOWS, 2006)

A Formal Model for Web Service Composition. - Freddy Lécué; Alain Léger (CE, 2006)

A Formal Model for Semantic Web Service Composition. - Freddy Lécué; Alain Léger (ISWC, 2006)

Making the Difference in Semantic Web Service Composition. - Freddy Lécué; Alexandre Delteil (AAAI, 2007)

A Framework for Dynamic Web Services Composition. - Freddy Lécué; Eduardo Silva 001; Luís Ferreira Pires (WEWST, 2007)

Integrating Discovery and Automated Composition: from Semantic Requirements to Executable Code. - Piergiorgio Bertoli; Jörg Hoffmann 001; Freddy Lécué; Marco Pistore (ICWS, 2007)

Applying Abduction in Semantic Web Service Composition. - Freddy Lécué; Alexandre Delteil; Alain Léger (ICWS, 2007)

Optimizing Causal Link Based Web Service Composition. - Freddy Lécué; Alexandre Delteil; Alain Léger (ECAI, 2008)

Semantic and Syntactic Data Flow in Web Service Composition. - Freddy Lécué; Samir Salibi; Philippe Bron; Aurélien Moreau (ICWS, 2008)

Towards the composition of stateful and independent semantic web services. - Freddy Lécué; Alexandre Delteil; Alain Léger (SAC, 2008)

DL Reasoning and AI Planning for Web Service Composition. - Freddy Lécué; Alain Léger; Alexandre Delteil (Web Intelligence, 2008)

Composition de Services Web: Une Approche basée Liens Sémantiques. (Web Service Composition : Semantic Links based Approach). - Freddy Lécué (2008)

Negotiating Robustness in Semantic Web Service Composition. - Freddy Lécué; Usman Wajid; Nikolay Mehandjiev (ECOWS, 2009)

Provider-Composer Negotiations for Semantic Robustness in Service Compositions. - Nikolay Mehandjiev; Freddy Lécué; Usman Wajid (ICSOC/ServiceWave, 2009)

Towards Scalability of Quality Driven Semantic Web Service Composition. - Freddy Lécué; Nikolay Mehandjiev (ICWS, 2009)

Extending Web Service Composition Languages with Semantic Data Flow. - Freddy Lécué; Alexandre Delteil; Alain Léger (ICSC, 2009)

Optimizing QoS-Aware Semantic Web Service Composition. - Freddy Lécué (ISWC, 2009)

Web Service Composition as a Composition of Valid and Robust Semantic Links. - Freddy Lécué; Alexandre Delteil; Alain Léger; Olivier Boissier (Int. J. Cooperative Inf. Syst., 2009)

Towards a Semantic State Transition System for Automated Generation of Data Flow in Web Service Composition. - Freddy Lécué; Alexandre Delteil; Alain Léger (Int. J. Semantic Comput., 2009)

Les web services sémantiques, automate et intégration I. Introduction, éléments et scénarios, découverte de services web. - Mohand-Said Hacid; Freddy Lécué; Alain Léger; Christophe Rey; Farouk Toumani (Tech. Sci. Informatiques, 2009)

Les web services sémantiques, automate et intégration II. Composition de services web, technologies et plateformes, applications industrielles. - Freddy Lécué; Alain Léger; R. Hassen (Tech. Sci. Informatiques, 2009)

Empowering Business Users to Model and Execute Business Processes. - Florian Schnabel 001; Yosu Gorronogoitia; Mateusz Radzimski; Freddy Lécué; Nikolay Mehandjiev; Gianluca Ripa; S. Abels; S. Blood; Adrian Mos; Martin Junghans 001; Sudhir Agarwal 001; Jürgen Vogel 001 (Business Process Management Workshops, 2010)

Assisted Service Composition for End Users. - Nikolay Mehandjiev; Freddy Lécué; Usman Wajid; Abdallah Namoun (ECOWS, 2010)

SOA4All: An Innovative Integrated Approach to Services Composition. - Freddy Lécué; Yosu Gorronogoitia; Rafael Gonzalez; Mateusz Radzimski; Matteo Villa (ICWS, 2010)

Combining Collaborative Filtering and Semantic Content-Based Approaches to Recommend Web Services. - Freddy Lécué (ICSC, 2010)

Using Context Similarity for Service Recommendation. - Liwei Liu; Freddy Lécué; Nikolay Mehandjiev; Ling Xu (ICSC, 2010)

Personalization of Semantic Web Services. - Freddy Lécué (SMRR@ISWC, 2010)

Telecommunication Mashups Using RESTful Services. - Alistair Duke; Sandra Stincic; John Davies; Guillermo Alvaro Rey; Carlos Pedrinaci; Maria Maleshkova; John Domingue; Dong Liu 015; Freddy Lécué; Nikolay Mehandjiev (ServiceWave, 2010)

Service Compositions for All. - Nikolay Mehandjiev; Freddy Lécué; Usman Wajid; Georgia Kleanthous; Abdallah Namoune (ServiceWave, 2010)

Discovery and selection of web services fragments for re-composition. - Chahrazed Bouhini; Freddy Lécué; Nikolay Mehandjiev; Olivier Boissier (SOCA, 2010)

Satisfying End User Constraints in Service Composition by Applying Stochastic Search Methods. - Freddy Lécué; Nikolay Mehandjiev (Int. J. Web Serv. Res., 2010)

Personalizing Your Web Services with Constructive DL Reasoning Join. - Freddy Lécué (AAAI, 2011)

Personalizing Access to Semantic Web Services. - Freddy Lécué (ICWS, 2011)

Inferring Data Flow in Semantic Web Service Composition. - Freddy Lécué (ICWS, 2011)

A Hybrid Approach to Recommending Semantic Software Services. - Liwei Liu; Freddy Lécué; Nikolay Mehandjiev (ICWS, 2011)

Towards Semantics-Based Instantiation of Services. - Freddy Lécué (Web Intelligence, 2011)

Seeking Quality of Web Service Composition in a Semantic Dimension. - Freddy Lécué; Nikolay Mehandjiev (IEEE Trans. Knowl. Data Eng., 2011)

sslGolog: When conditional compositions of web services meet semantic links and causal laws. - Freddy Lécué; Alexandre Delteil; Alain Léger (Web Intell. Agent Syst., 2011)

KPI-Based Service Composition Modeling and Optimization with Design Time User Interaction. - Freddy Lécué; Nikolay Mehandjiev; Jürgen Vogel 001; Patrick Un; Bernhard Neu (IEEE SCC, 2012)

Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach. - Freddy Lécué (AAAI, 2012)

Capturing the Pulse of Cities: Opportunity and Research Challenges for Robust Stream Data Reasoning. - Freddy Lécué; Spyros Kotoulas; Pol Mac Aonghusa (Semantic Cities @ AAAI, 2012)

Cooperative Service Composition. - Nikolay Mehandjiev; Freddy Lécué; Martin Carpenter; Fethi A. Rabhi (CAiSE, 2012)

Flexible Construction of Complex Service Compositions from Reusable Semantic Knowledge. - Rik Eshuis; Freddy Lécué; Nikolay Mehandjiev (ICWS, 2012)

Applying Semantic Web Technologies for Diagnosing Road Traffic Congestions. - Freddy Lécué; Anika Schumann; Marco Luca Sbodio (ISWC (2), 2012)

A Prototype for Semantic based Diagnosis of Road Traffic Congestions. - Marco Luca Sbodio; Freddy Lécué; Anika Schumann (ISWC (Posters & Demos), 2012)

Reports of the AAAI 2012 Conference Workshops. - Vikas Agrawal; Jorge A. Baier; Kostas E. Bekris; Yiling Chen 001; Artur S. d'Avila Garcez; Pascal Hitzler; Patrik Haslum; Dietmar Jannach; Edith Law; Freddy Lécué; Luís C. Lamb; Cynthia Matuszek; et al. (AI Mag., 2012)

Predicting Knowledge in an Ontology Stream. - Freddy Lécué; Jeff Z. Pan (IJCAI, 2013)

Westland row why so slow?: fusing social media and linked data sources for understanding real-time traffic conditions. - Elizabeth M. Daly; Freddy Lécué; Veli Bicer (IUI, 2013)

Towards Constructive Evidence of Data Flow-Oriented Web Service Composition. - Freddy Lécué (ISWC (1), 2013)

Real-Time Urban Monitoring in Dublin Using Semantic and Stream Technologies. - Simone Tallevi-Diotallevi; Spyros Kotoulas; Luca Foschini 001; Freddy Lécué; Antonio Corradi (ISWC (2), 2013)

Semantic content-based recommendation of software services using context. - Liwei Liu; Freddy Lécué; Nikolay Mehandjiev (ACM Trans. Web, 2013)

End Users Developing Mashups. - Nikolay Mehandjiev; Abdallah Namoun; Freddy Lécué; Usman Wajid; Georgia Kleanthous (Web Services Foundations, 2014)

Towards Scalable Exploration of Diagnoses in an Ontology Stream. - Freddy Lécué (AAAI, 2014)

Towards Consistency Checking over Evolving Ontologies. - Jiewen Wu; Freddy Lécué (CIKM, 2014)

Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems. - Joern Ploennigs; Anika Schumann; Freddy Lécué (ECAI, 2014)

Exploiting the Semantic Web for Systems Diagnosis. - Anika Schumann; Freddy Lécué; Joern Ploennigs (ECAI, 2014)

Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies. - Freddy Lécué; Robert Tucker; Veli Bicer; Pierpaolo Tommasi; Simone Tallevi-Diotallevi; Marco Luca Sbodio (ESWC, 2014)

STAR-CITY: semantic traffic analytics and reasoning for CITY. - Freddy Lécué; Simone Tallevi-Diotallevi; Jer Hayes; Robert Tucker; Veli Bicer; Marco Luca Sbodio; Pierpaolo Tommasi (IUI, 2014)

Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio. - Freddy Lécué; Robert Tucker; Simone Tallevi-Diotallevi; Rahul Nair; Yiannis Gkoufas; Giuseppe Liguori; Mauro Borioni; Alexandre Rademaker; Luciano Barbosa (ISWC (2), 2014)

Adapting Semantic Sensor Networks for Smart Building Diagnosis. - Joern Ploennigs; Anika Schumann; Freddy Lécué (ISWC (2), 2014)

SPUD - Semantic Processing of Urban Data. - 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 (J. Web Semant., 2014)

Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City. - Freddy Lécué; Simone Tallevi-Diotallevi; Jer Hayes; Robert Tucker; Veli Bicer; Marco Luca Sbodio; Pierpaolo Tommasi (J. Web Semant., 2014)

Consistent Knowledge Discovery from Evolving Ontologies. - Freddy Lécué; Jeff Z. Pan (AAAI, 2015)

Minimizing User Involvement for Accurate Ontology Matching Problems. - Anika Schumann; Freddy Lécué (AAAI, 2015)

Distributed and Scalable OWL EL Reasoning. - Raghava Mutharaju; Pascal Hitzler; Prabhaker Mateti; Freddy Lécué (ESWC, 2015)

Scalable Maintenance of Knowledge Discovery in an Ontology Stream. - Freddy Lécué (IJCAI, 2015)

Reports of the AAAI 2014 Conference Workshops. - 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; et al. (AI Mag., 2015)

Elastic Stream Processing for Distributed Environments. - Christoph Hochreiner; Stefan Schulte 002; Schahram Dustdar; Freddy Lécué (IEEE Internet Comput., 2015)

Explanatory Diagnosis of an Ontology Stream via Reasoning About Actions. - Quan Yu; Hai Wan; Jiangtao Xu; Freddy Lécué; Liang Chang 003 (ECAI, 2016)

Applying Machine Reasoning and Learning in Real World Applications. - Freddy Lécué (RW, 2016)

Using Semantic Web Technologies for Explaining and Predicting Abnormal Expenses. - Freddy Lécué; John Vard; Jiewen Wu (ISWC (Posters & Demos), 2016)

AI for Traffic Analytics. - Raghava Mutharaju; Freddy Lécué; Jeff Z. Pan; Jiewen Wu; Pascal Hitzler (IEEE Intell. Informatics Bull., 2016)

Semantic Web Service Search: A Brief Survey. - Matthias Klusch; Patrick Kapahnke; Stefan Schulte 002; Freddy Lécué; Abraham Bernstein (Künstliche Intell., 2016)

Flexible Construction of Executable Service Compositions from Reusable Semantic Knowledge. - Rik Eshuis; Freddy Lécué; Nikolay Mehandjiev (ACM Trans. Web, 2016)

Deep Dive on Smart Cities by Scaling Reasoning and Interpreting the Semantics of IoT. - Freddy Lécué (EGC, 2017)

Learning from Ontology Streams with Semantic Concept Drift. - Jiaoyan Chen 001; Freddy Lécué; Jeff Z. Pan; Huajun Chen (IJCAI, 2017)

Personalizing Actions in Context for Risk Management Using Semantic Web Technologies. - Jiewen Wu; Freddy Lécué; Christophe Guéret; Jer Hayes; Sara van de Moosdijk; Gemma Gallagher; Peter McCanney; Eugene Eichelberger (ISWC (2), 2017)

Explaining and predicting abnormal expenses at large scale using knowledge graph based reasoning. - Freddy Lécué; Jiewen Wu (J. Web Semant., 2017)

Explainable AI: The New 42? - Randy Goebel; Ajay Chander; Katharina Holzinger; Freddy Lécué; Zeynep Akata; Simone Stumpf; Peter Kieseberg; Andreas Holzinger (CD-MAKE, 2018)

Knowledge-Based Transfer Learning Explanation. - Jiaoyan Chen 001; Freddy Lécué; Jeff Z. Pan; Ian Horrocks 001; Huajun Chen (KR, 2018)

Semantic Explanations of Predictions. - Freddy Lécué; Jiewen Wu (CoRR, 2018)

Interpretable Credit Application Predictions With Counterfactual Explanations. - Rory McGrath; Luca Costabello; Chan Le Van; Paul Sweeney; Farbod Kamiab; Zhao Shen; Freddy Lécué (CoRR, 2018)

Human-in-the-Loop Feature Selection. - Alvaro H. C. Correia; Freddy Lécué (AAAI, 2019)

Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines. - Nicholas McCarthy; Mohammad Karzand; Freddy Lécué (AAAI, 2019)

Augmenting Transfer Learning with Semantic Reasoning. - Freddy Lécué; Jiaoyan Chen 001; Jeff Z. Pan; Huajun Chen (IJCAI, 2019)

Thales XAI Platform: Adaptable Explanation of Machine Learning Systems - A Knowledge Graphs Perspective. - Freddy Lécué; Baptiste Abeloos; Jonathan Anctil; Manuel Bergeron; Damien Dalla-Rosa; Simon Corbeil-Letourneau; Florian Martet; Tanguy Pommellet; Laura Salvan; Simon Veilleux; Maryam Ziaeefard (ISWC (Satellites), 2019)

Feeding Machine Learning with Knowledge Graphs for Explainable Object Detection. - Freddy Lécué; Tanguy Pommellet (ISWC (Satellites), 2019)

Local Score Dependent Model Explanation for Time Dependent Covariates. - Xochitl Watts; Freddy Lécué (CoRR, 2019)

Special Issue on Semantic Technology. - Ryutaro Ichise; Stephen H. Muggleton; Kouji Kozaki; Freddy Lécué; Dongyan Zhao 001; Takahiro Kawamura (New Gener. Comput., 2019)

A Distributed Markovian Parking Assist System. - Mingming Liu 001; Joe Naoum-Sawaya; Yingqi Gu; Freddy Lécué; Robert Shorten (IEEE Trans. Intell. Transp. Syst., 2019)

Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. - Luca Longo; Randy Goebel; Freddy Lécué; Peter Kieseberg; Andreas Holzinger (CD-MAKE, 2020)

Towards Knowledge-Augmented Visual Question Answering. - Maryam Ziaeefard; Freddy Lécué (COLING, 2020)

ConceptBert: Concept-Aware Representation for Visual Question Answering. - François Gardères; Maryam Ziaeefard; Baptiste Abeloos; Freddy Lécué (EMNLP (Findings), 2020)

Ontology-guided Semantic Composition for Zero-shot Learning. - Jiaoyan Chen 001; Freddy Lécué; Yuxia Geng; Jeff Z. Pan; Huajun Chen (KR, 2020)

Reasoning Engine for Support Maintenance. - Rana Farah; Simon Hallé; Jiye Li; Freddy Lécué; Baptiste Abeloos; Dominique Perron; Juliette Mattioli; Pierre-Luc Gregoire; Sebastien Laroche; Michel Mercier; Paul Cocaud (ISWC (2), 2020)

Background Knowledge Injection for Interpretable Sequence Classification. - Severin Gsponer; Luca Costabello; Chan Le Van; Sumit Pai; Christophe Guéret; Georgiana Ifrim; Freddy Lécué (CoRR, 2020)

Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach. - Nicholas Halliwell; Freddy Lécué (CoRR, 2020)

On the role of knowledge graphs in explainable AI. - Freddy Lécué (Semantic Web, 2020)

Knowledge-Based Explanations for Transfer Learning. - Freddy Lécué; Jiaoyan Chen 001; Jeff Z. Pan; Huajun Chen (Knowledge Graphs for eXplainable Artificial Intelligence, 2020)

User Scored Evaluation of Non-Unique Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs. - Nicholas Halliwell; Fabien Gandon; Freddy Lécué (K-CAP, 2021)

A Simplified Benchmark for Non-ambiguous Explanations of Knowledge Graph Link Prediction using Relational Graph Convolutional Networks. - Nicholas Halliwell; Fabien Gandon; Freddy Lécué (ISWC (Posters/Demos/Industry), 2021)

Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs. - Nicholas Halliwell; Fabien Gandon; Freddy Lécué (WI/IAT, 2021)

Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems. - Clément Playout; Ola Ahmad; Freddy Lécué; Farida Cheriet (CoRR, 2021)

Knowledge graph embeddings for dealing with concept drift in machine learning. - Jiaoyan Chen 001; Freddy Lécué; Jeff Z. Pan; Shumin Deng; Huajun Chen (J. Web Semant., 2021)

FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. - Ola Ahmad; Freddy Lécué (AAAI, 2022)

A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract). - Nicholas Halliwell; Fabien Gandon; Freddy Lécué (AAAI, 2022)

Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions. - Tom Bewley; Freddy Lécué (AAMAS, 2022)

Impact of Injecting Ground Truth Explanations on Relational Graph Convolutional Networks and their Explanation Methods for Link Prediction on Knowledge Graphs. - Nicholas Halliwell; Fabien Gandon; Freddy Lécué (WI/IAT, 2022)

Empowering the trustworthiness of ML-based critical systems through engineering activities. - Juliette Mattioli; Agnès Delaborde; Souhaiel Khalfaoui; Freddy Lécué; Henri Sohier; Frédéric Jurie (CoRR, 2022)

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. - Danial Dervovic; Nicolas Marchesotti; Freddy Lécué; Daniele Magazzeni (CoRR, 2022)

Trigger-Argument based Explanation for Event Detection. - Yong Guan; Jiaoyan Chen 001; Freddy Lécué; Jeff Z. Pan; Juanzi Li; Ru Li 001 (ACL (Findings), 2023)

REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values. - Shubham Sharma; Sanghamitra Dutta; Emanuele Albini; Freddy Lécué; Daniele Magazzeni; Manuela Veloso (AIES, 2023)

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. - Leonidas Tsepenekas; Ivan Brugere; Freddy Lécué; Daniele Magazzeni (NeurIPS, 2023)

Task Adaptive Feature Transformation for One-Shot Learning. - Imtiaz Masud Ziko; Freddy Lécué; Ismail Ben Ayed (CoRR, 2023)

Causal Analysis for Robust Interpretability of Neural Networks. - Ola Ahmad; Nicolas Béreux; Vahid Hashemi; Freddy Lécué (CoRR, 2023)

Privacy-Preserving Algorithmic Recourse. - Sikha Pentyala; Shubham Sharma; Sanjay Kariyappa; Freddy Lécué; Daniele Magazzeni (CoRR, 2023)

Knowledge-Aware Neuron Interpretation for Scene Classification. - Yong Guan; Freddy Lécué; Jiaoyan Chen 001; Ru Li 001; Jeff Z. Pan (AAAI, 2024)

SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. - Sanjay Kariyappa; Leonidas Tsepenekas; Freddy Lécué; Daniele Magazzeni (AAAI, 2024)

TacoERE: Cluster-aware Compression for Event Relation Extraction. - Yong Guan; Xiaozhi Wang; Lei Hou 001; Juanzi Li; Jeff Z. Pan; Jiaoyan Chen 001; Freddy Lécué (LREC/COLING, 2024)

Better Explain Transformers by Illuminating Important Information. - Linxin Song; Yan Cui; Ao Luo; Freddy Lécué; Irene Li (EACL (Findings), 2024)

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions. - Sanjay Kariyappa; Freddy Lécué; Saumitra Mishra; Christopher Pond; Daniele Magazzeni; Manuela Veloso (ICML, 2024)

Are Logistic Models Really Interpretable? - Danial Dervovic; Freddy Lécué; Nicolas Marchesotti; Daniele Magazzeni (IJCAI, 2024)

Sequential Harmful Shift Detection Without Labels. - Salim I. Amoukou; Tom Bewley; Saumitra Mishra; Freddy Lécué; Daniele Magazzeni; Manuela Veloso (NeurIPS, 2024)

RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting. - Hsiang Hsu; Ivan Brugere; Shubham Sharma; Freddy Lécué; Richard Chen (NeurIPS, 2024)

Fair Wasserstein Coresets. - Zikai Xiong; Niccolò Dalmasso; Shubham Sharma; Freddy Lécué; Daniele Magazzeni; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (NeurIPS, 2024)

Causal Analysis for Robust Interpretability of Neural Networks. - Ola Ahmad; Nicolas Béreux; Loïc Baret; Vahid Hashemi; Freddy Lécué (WACV, 2024)

The Effect of Data Poisoning on Counterfactual Explanations. - André Artelt; Shubham Sharma; Freddy Lécué; Barbara Hammer (CoRR, 2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. - Rui Yang 016; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking. - Jiawei Zhang 002; Chejian Xu; Yu Gai; Freddy Lécué; Dawn Song; Bo Li 026 (CoRR, 2024)

Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs. - Faisal Hamman; Pasan Dissanayake; Saumitra Mishra; Freddy Lécué; Sanghamitra Dutta (CoRR, 2024)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. - Rui Yang; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective. - Rui Yang; Boming Yang; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. - Luca Longo; Mario Brcic; Federico Cabitza; Jaesik Choi; Roberto Confalonieri 001; Javier Del Ser; Riccardo Guidotti; Yoichi Hayashi; Francisco Herrera; Andreas Holzinger; Richard Jiang 001; Hassan Khosravi; et al. (Inf. Fusion, 2024)

Explainable prediction of Qcodes for NOTAMs using column generation. - Krunal Kishor Patel; Guy Desaulniers; Andrea Lodi 001; Freddy Lécué (J. Oper. Res. Soc., 2024)

Interpreting Language Reward Models via Contrastive Explanations. - Junqi Jiang; Tom Bewley; Saumitra Mishra; Freddy Lécué; Manuela Veloso (ICLR, 2025)

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. - Rui Yang 016; Boming Yang; Xinjie Zhao 004; Fan Gao; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (WWW (Companion Volume), 2025)

Interpretable LLM-based Table Question Answering. - Giang Nguyen 004; Ivan Brugere; Shubham Sharma; Sanjay Kariyappa; Anh Totti Nguyen; Freddy Lécué (Trans. Mach. Learn. Res., 2025)