KBCT: a knowledge extraction and representation tool for fuzzy logic based systems. - José Maria Alonso; Luis Magdalena; Serge Guillaume (FUZZ-IEEE, 2004)

A Simplification Process of Linguistic Knowledge Bases. - José Maria Alonso; Luis Magdalena; Serge Guillaume (EUSFLAT Conf., 2005)

Integrating induced knowledge in an expert fuzzy-based system for intelligent motion analysis on ground robots. - José Maria Alonso; Luis Magdalena; Serge Guillaume; Miguel Ángel Sotelo; Luis Miguel Bergasa; Manuel Ocaña (EUSFLAT Conf., 2005)

Highly Interpretable Linguistic Knowledge Bases Optimization: Genetic Tuning versus Solis-Wetts. Looking for a Good Interpretability-accuracy Trade-off. - José Maria Alonso; Oscar Cordón; Serge Guillaume; Luis Magdalena (FUZZ-IEEE, 2007)

Knowledge-based Intelligent Diagnosis of Ground Robot Collision with Non Detectable Obstacles. - José Maria Alonso; Luis Magdalena; Serge Guillaume; Miguel Ángel Sotelo; Luis Miguel Bergasa; Manuel Ocaña; Ramón Flores (J. Intell. Robotic Syst., 2007)

Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge (Modelado de sistemas borrosos interpretables con cooperación entre conocimiento experto e inducido). - Jose Maria Alonso-Moral (2007)

HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism. - José Maria Alonso; Luis Magdalena; Serge Guillaume (Int. J. Intell. Syst., 2008)

Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System. - Gema García-Sáez; José Maria Alonso; Javier Molero; Mercedes Rigla Cros; Iñaki Martínez-Sarriegui; Alberto de Leiva; Enrique J. Gómez; M. Elena Hernando (AIME, 2009)

WiFi Localization System based on Fuzzy Logic to Deal with Signal Variations. - Noelia Hernández; Fernando Herranz; Manuel Ocaña; Luis Miguel Bergasa; José Maria Alonso; Luis Magdalena (ETFA, 2009)

WiFi Localization System Using Fuzzy Rule-Based Classification. - José Maria Alonso; Manuel Ocaña; Miguel Ángel Sotelo; Luis Miguel Bergasa; Luis Magdalena (EUROCAST, 2009)

A Conceptual Framework for Understanding a Fuzzy System. - José Maria Alonso; Luis Magdalena (IFSA/EUSFLAT Conf., 2009)

An Experimental Study on the Interpretability of Fuzzy Systems. - José Maria Alonso; Luis Magdalena (IFSA/EUSFLAT Conf., 2009)

An Interpretability-Guided Modeling Process for Learning Comprehensible Fuzzy Rule-Based Classifiers. - José Maria Alonso; Luis Magdalena (ISDA, 2009)

Looking for a good fuzzy system interpretability index: An experimental approach. - José Maria Alonso; Luis Magdalena; Gil González-Rodríguez (Int. J. Approx. Reason., 2009)

LDAP Injection Techniques. - José Maria Alonso; Antonio Guzmán; Marta Beltrán; Rodolfo Bordon (Wirel. Sens. Netw., 2009)

Combining user's preferences and quality criteria into a new index for guiding the design of fuzzy systems with a good interpretability-accuracy trade-off. - José Maria Alonso; Luis Magdalena (FUZZ-IEEE, 2010)

Human activity recognition applying computational intelligence techniques for fusing information related to WiFi positioning and body posture. - Alberto Alvarez-Alvarez; José Maria Alonso; Gracián Triviño; Noelia Hernández; Fernando Herranz; Angel Llamazares; Manuel Ocaña (FUZZ-IEEE, 2010)

Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers. - José Maria Alonso; Luis Magdalena; Oscar Cordón (GEFS, 2010)

Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointension. - Raffaele Cannone; José Maria Alonso; Luis Magdalena (GEFS, 2011)

Topology-based indoor localization by means of WiFi fingerprinting with a computational intelligent classifier. - Pablo Menendez; Carmen Campomanes; Krzysztof Trawinski; José Maria Alonso (ISDA, 2011)

Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment. - José Maria Alonso; Luis Magdalena (WILF, 2011)

An Empirical Study on Interpretability Indexes through Multi-objective Evolutionary Algorithms. - Raffaele Cannone; José Maria Alonso; Luis Magdalena (WILF, 2011)

Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors. - José Maria Alonso; Manuel Ocaña; Noelia Hernández; Fernando Herranz; Angel Llamazares; Miguel Ángel Sotelo; Luis Miguel Bergasa; Luis Magdalena (Appl. Soft Comput., 2011)

Special issue on interpretable fuzzy systems. - José Maria Alonso; Luis Magdalena (Inf. Sci., 2011)

HILK++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers. - José Maria Alonso; Luis Magdalena (Soft Comput., 2011)

Enhancing the fuzzy modeling tool GUAJE with a new module for fingrams-based analysis of fuzzy rule bases. - José Maria Alonso; David P. Pancho; Luis Magdalena (FUZZ-IEEE, 2012)

Wifigrams: Design of Hierarchical Wi-Fi Indoor Localization Systems Guided by Social Network Analysis. - José Maria Alonso; Noelia Hernández; Manuel Ocaña (EUROCAST (2), 2013)

Impact of Signal Representations on the Performance of Hierarchical WiFi Localization Systems. - Noelia Hernández; José Maria Alonso; Manuel Ocaña; Mahesh K. Marina (EUROCAST (2), 2013)

Interpretable fuzzy system allowing to be framed in a profile photo through linguistic expressions. - Patricia Conde Clemente; José Maria Alonso; Gracián Triviño (EUSFLAT Conf., 2013)

Interpretability analysis of fuzzy association rules supported by fingrams. - David P. Pancho; José Maria Alonso; Jesús Alcalá-Fdez; Luis Magdalena (EUSFLAT Conf., 2013)

A new fingram-based software tool for visual representation and analysis of fuzzy association rules. - David P. Pancho; José Maria Alonso; Jesús Alcalá-Fdez (FUZZ-IEEE, 2013)

Special Issue on Software Tools for Soft Computing. - Jesús Alcalá-Fdez; José Maria Alonso (Int. J. Comput. Intell. Syst., 2013)

Quest for Interpretability-Accuracy Trade-off Supported by Fingrams into the Fuzzy Modeling Tool GUAJE. - David P. Pancho; José Maria Alonso; Luis Magdalena (Int. J. Comput. Intell. Syst., 2013)

Human activity recognition in indoor environments by means of fusing information extracted from intensity of WiFi signal and accelerations. - Alberto Alvarez-Alvarez; José Maria Alonso; Gracián Triviño (Inf. Sci., 2013)

A multiclassifier approach for topology-based WiFi indoor localization. - Krzysztof Trawinski; José Maria Alonso; Noelia Hernández (Soft Comput., 2013)

FINGRAMS: Visual Representations of Fuzzy Rule-Based Inference for Expert Analysis of Comprehensibility. - David P. Pancho; José Maria Alonso; Oscar Cordón; Arnaud Quirin; Luis Magdalena (IEEE Trans. Fuzzy Syst., 2013)

Social Network Analysis of Co-fired Fuzzy Rules. - José Maria Alonso; David P. Pancho; Oscar Cordón; Arnaud Quirin; Luis Magdalena (Soft Computing: State of the Art Theory and Novel Applications, 2013)

Analyzing fuzzy association rules with Fingrams in KEEL. - David P. Pancho; José Maria Alonso; Jesús Alcalá-Fdez; Luis Magdalena (FUZZ-IEEE, 2014)

Customization of Products Assisted by Kansei Engineering, Sensory Analysis and Soft Computing. - José Maria Alonso; David P. Pancho; Luis Magdalena (IPMU (2), 2014)

WiFi-based indoor localization and tracking of a moving device. - Noelia Hernández; Manuel Ocaña; José Maria Alonso; Euntai Kim (UPINLBS, 2014)

Applying Random Linear Oracles with Fuzzy Classifier Ensembles on WiFi Indoor Localization Problem. - Krzysztof Trawinski; José Maria Alonso; Oscar Cordón (A Passion for Fuzzy Sets, 2015)

QUALE r: A new Toolbox for Quantitative and Qualitative Analysis of Human Perceptions. - José Maria Alonso; David P. Pancho; Luis Magdalena; Daniel A. Nunez; Daniel S. Sanchez; Pablo F. Suarez; Jose Mingot; Valentin Iglesias (IFSA-EUSFLAT, 2015)

Linguistic Aggregation Functions using the MapReduce Paradigm. - Patricia Conde Clemente; Gracián Triviño; José Maria Alonso (IFSA-EUSFLAT, 2015)

Understanding the Inference Mechanism of FURIA by means of Fingrams. - David P. Pancho; José Maria Alonso; Luis Magdalena (IFSA-EUSFLAT, 2015)

Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. - Rudolf Kruse; Gabriella Pasi; José Maria Alonso (HICSS, 2015)

Interpretability of Fuzzy Systems: Current Research Trends and Prospects. - José Maria Alonso; Ciro Castiello; Corrado Mencar (Handbook of Computational Intelligence, 2015)

Special Issue on Computational Intelligence Software Guest Editorial. - Jesús Alcalá-Fdez; José Maria Alonso; Oscar Cordón (IEEE Comput. Intell. Mag., 2016)

Enhancing Fingrams to deal with precise fuzzy systems. - David P. Pancho; José Maria Alonso; Luis Magdalena (Fuzzy Sets Syst., 2016)

Special Issue on selected papers from the IFSA-EUSFLAT2015 conference. - José Maria Alonso; Oscar Cordón; Luis Magdalena (Int. J. Approx. Reason., 2016)

Descriptive and Comparative Analysis of Human Perceptions expressed through Fuzzy Rating Scale-based Questionnaires. - Pelayo Quirós; José Maria Alonso; David P. Pancho (Int. J. Comput. Intell. Syst., 2016)

Hierarchical Approach to Enhancing Topology-based WiFi Indoor Localization in Large Environments. - Noelia Hernández; José Maria Alonso; Manuel Ocaña (J. Multiple Valued Log. Soft Comput., 2016)

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects. - Jesús Alcalá-Fdez; José Maria Alonso (IEEE Trans. Fuzzy Syst., 2016)

Building Cognitive Cities with Explainable Artificial Intelligent Systems. - José Maria Alonso; Corrado Mencar (CEx@AI*IA, 2017)

Using Fuzzy Sets in a Data-to-Text System for Business Service Intelligence. - Alejandro Ramos-Soto; J. Janeiro; José Maria Alonso; Alberto Bugarín; D. Berea-Cabaleiro (EUSFLAT/IWIFSGN (3), 2017)

An exploratory study on the benefits of using natural language for explaining fuzzy rule-based systems. - José Maria Alonso; Alejandro Ramos-Soto; Ehud Reiter; Kees van Deemter (FUZZ-IEEE, 2017)

rLDCP: R package for text generation from data. - Patricia Conde-Clemente; José Maria Alonso; Gracián Triviño (FUZZ-IEEE, 2017)

Looking for a real-world-semantics-based approach to the interpretability of fuzzy systems. - Nguyen Cat Ho; José Maria Alonso (FUZZ-IEEE, 2017)

An empirical approach for modeling fuzzy geographical descriptors. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (FUZZ-IEEE, 2017)

Linguistic Description of Complex Phenomena with the rLDCP R Package. - José Maria Alonso; Patricia Conde-Clemente; Gracián Triviño (INLG, 2017)

Natural Language Generation with Computational Intelligence [Guest Editorial]. - José Maria Alonso; Alberto Bugarín; Ehud Reiter (IEEE Comput. Intell. Mag., 2017)

New types of computational perceptions: Linguistic descriptions in deforestation analysis. - Patricia Conde-Clemente; José Maria Alonso; Éldman de Oliveira Nunes; Ángel Sánchez 001; Gracián Triviño (Expert Syst. Appl., 2017)

Fuzzy classifier ensembles for hierarchical WiFi-based semantic indoor localization. - Noelia Hernández; José Maria Alonso; Manuel Ocaña (Expert Syst. Appl., 2017)

Generating automatic linguistic descriptions with big data. - Patricia Conde-Clemente; Gracián Triviño; José Maria Alonso (Inf. Sci., 2017)

Continuous Space Estimation: Increasing WiFi-Based Indoor Localization Resolution without Increasing the Site-Survey Effort. - Noelia Hernández; Manuel Ocaña; José Maria Alonso; Euntai Kim (Sensors, 2017)

Meteorologists and Students: A resource for language grounding of geographical descriptors. - Alejandro Ramos-Soto; Ehud Reiter; Kees van Deemter; José Maria Alonso; Albert Gatt (INLG, 2018)

A Bibliometric Analysis of the Explainable Artificial Intelligence Research Field. - José Maria Alonso; Ciro Castiello; Corrado Mencar (IPMU (1), 2018)

Explainable AI Beer Style Classifier. - José Maria Alonso; Alejandro Ramos-Soto; Ciro Castiello; Corrado Mencar (SICSA ReaLX, 2018)

From Zadeh's Computing with Words Towards eXplainable Artificial Intelligence. - José Maria Alonso (WILF, 2018)

Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling - Tutorial. - Corrado Mencar; José Maria Alonso (WILF, 2018)

An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis. - Shaker H. Ali El-Sappagh; José Maria Alonso; Farman Ali 001; Amjad Ali 002; Jun-Hyeog Jang; Kyung Sup Kwak (IEEE Access, 2018)

JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016. - José M. Soto-Hidalgo; José Maria Alonso; Giovanni Acampora; Jesús Alcalá-Fdez (IEEE Access, 2018)

Design of Fuzzy Controllers for Embedded Systems With JFML. - José M. Soto-Hidalgo; Autilia Vitiello; José Maria Alonso; Giovanni Acampora; Jesús Alcalá-Fdez (Int. J. Comput. Intell. Syst., 2018)

Toward automatic generation of linguistic advice for saving energy at home. - Patricia Conde-Clemente; José Maria Alonso; Gracián Triviño (Soft Comput., 2018)

Explainable Artificial Intelligence for Kids. - José Maria Alonso (EUSFLAT Conf., 2019)

Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. - Jesús Alcalá-Fdez; José Maria Alonso; Ciro Castiello; Corrado Mencar; José M. Soto-Hidalgo (FUZZ-IEEE, 2019)

ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers. - José Maria Alonso; Alberto Bugarín (FUZZ-IEEE, 2019)

Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments. - José Maria Alonso; Gabriella Casalino (HELMeTO, 2019)

Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (Int. J. Comput. Intell. Syst., 2019)

Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. - José Maria Alonso; Pietro Ducange; Riccardo Pecori; Raúl Vilas (FUZZ-IEEE, 2020)

Experimental Study on Generating Multi-modal Explanations of Black-box Classifiers in terms of Gray-box Classifiers. - José Maria Alonso; J. Toja-Alamancos; Alberto Bugarín (FUZZ-IEEE, 2020)

Generation and Evaluation of Factual and Gounterfaetual Explanations for Decision Trees and Fuzzy Rule-based Classifiers. - Ilia Stepin; José Maria Alonso; Alejandro Catalá; Martin Pereira-Fariña (FUZZ-IEEE, 2020)

Towards Harnessing Natural Language Generation to Explain Black-box Models. - Ettore Mariotti; José Maria Alonso; Albert Gatt (NL4XAI@INGL, 2020)

Interactive Natural Language Technology for Explainable Artificial Intelligence. - José Maria Alonso; Senén Barro; Alberto Bugarín; Kees van Deemter; Claire Gardent; Albert Gatt; Ehud Reiter; Carles Sierra; Mariët Theune; Nava Tintarev; Hitoshi Yano; Katarzyna Budzynska (TAILOR, 2020)

Estimation of Customer Activity Patterns in Open Malls by Means of Combining Localization and Process Mining Techniques. - Manuel Ocaña; Angel Llamazares; Pedro A. Revenga; Miguel Ángel García Garrido; Noelia Hernández; Pedro Álvarez 001; Javier Fabra; David Chapela-Campa; Manuel Mucientes; Manuel Lama; Alberto Bugarín; José Maria Alonso (WAF, 2020)

Teaching Explainable Artificial Intelligence to High School Students. - José Maria Alonso (Int. J. Comput. Intell. Syst., 2020)

A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services. - Ettore Mariotti; José Maria Alonso; Roberto Confalonieri 001 (FUZZ-IEEE, 2021)

A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence. - Ilia Stepin; José Maria Alonso; Alejandro Catalá; Martin Pereira-Fariña (IEEE Access, 2021)

Robust hybrid deep learning models for Alzheimer's progression detection. - Tamer AbuHmed; Shaker H. Ali El-Sappagh; José Maria Alonso (Knowl. Based Syst., 2021)

Measuring Model Understandability by means of Shapley Additive Explanations. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (FUZZ-IEEE, 2022)

FCE: Feedback Based Counterfactual Explanations for Explainable AI. - Muhammad Suffian Nizami; Pierluigi Graziani; Jose Maria Alonso-Moral; Alessandro Bogliolo (IEEE Access, 2022)

Explainable and Trustworthy Artificial Intelligence [Guest Editorial]. - Jose Maria Alonso-Moral; Corrado Mencar; Hisao Ishibuchi (IEEE Comput. Intell. Mag., 2022)

Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance. - Sergio Martínez-Agüero; Cristina Soguero-Ruíz; Jose Maria Alonso-Moral; Inmaculada Mora-Jiménez; Joaquín Álvarez-Rodríguez; Antonio G. Marques (Future Gener. Comput. Syst., 2022)

Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers. - Shaker H. Ali El-Sappagh; Farman Ali 001; Tamer Abuhmed; Jaiteg Singh; José Maria Alonso (Neurocomputing, 2022)

An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information. - Ilia Stepin; Jose Maria Alonso-Moral; Alejandro Catalá; Martin Pereira-Fariña (Inf. Sci., 2022)

Automatic linguistic reporting of customer activity patterns in open malls. - Manuel Ocaña; David Chapela-Campa; Pedro Álvarez 001; Noelia Hernández; Manuel Mucientes; Javier Fabra; Angel Llamazares; Manuel Lama; Pedro A. Revenga; Alberto Bugarín; Miguel Ángel García Garrido; José Maria Alonso (Multim. Tools Appl., 2022)

Investigating Human-Centered Perspectives in Explainable Artificial Intelligence. - Muhammad Suffian Nizami; Ilia Stepin; Jose Maria Alonso-Moral; Alessandro Bogliolo (XAI.it@AI*IA, 2023)

A Confusion Matrix for Evaluating Feature Attribution Methods. - Anna Arias-Duart; Ettore Mariotti; Dario Garcia-Gasulla; Jose Maria Alonso-Moral (CVPR Workshops, 2023)

The Role of Speculations for Explainable and Trustworthy Artificial Intelligence: A Use Case on Art Genre Classification. - Jose Maria Alonso-Moral; Vicent Costa (EUSFLAT/AGOP, 2023)

CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence. - Muhammad Suffian Nizami; Ulrike Kuhl; Jose Maria Alonso-Moral; Alessandro Bogliolo (SEFM Workshops, 2023)

Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI. - Ettore Mariotti; Adarsa Sivaprasad; Jose Maria Alonso-Moral (xAI (1), 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. - Direnc Pekaslan; Jose Maria Alonso-Moral; Kasun Bandara; Christoph Bergmeir; Juan Bernabé-Moreno; Robert Eigenmann; Nils Einecke; Selvi Ergen; Rakshitha Godahewa; Hansika Hewamalage; Jesus Lago; Steffen Limmer; et al. (CoRR, 2023)

Toward enriched Cognitive Learning with XAI. - Muhammad Suffian Nizami; Ulrike Kuhl; Jose Maria Alonso-Moral; Alessandro Bogliolo (CoRR, 2023)

Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges. - Shaker H. Ali El-Sappagh; Jose Maria Alonso-Moral; Tamer Abuhmed; Farman Ali 001; Alberto José Bugarín Diz (Artif. Intell. Rev., 2023)

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. - Sajid Ali 006; Tamer Abuhmed; Shaker H. Ali El-Sappagh; Khan Muhammad 001; Jose Maria Alonso-Moral; Roberto Confalonieri 001; Riccardo Guidotti; Javier Del Ser; Natalia Díaz Rodríguez; Francisco Herrera (Inf. Fusion, 2023)

Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (Inf. Fusion, 2023)

A User Study on the Utility of Context-Aware Explanations for Assisting Data Scientists in Error Analysis of Fuzzy Decision Trees. - Guillermo Fernández 005; José A. Gámez 001; José M. Puerta; Juan A. Aledo; Jose Maria Alonso-Moral; Alberto Bugarín (FUZZ, 2024)

A Software Solution for Building Fuzzy-Grounded Interactive Dialogue-Based Explanations. - Ilia Stepin; Alejandro Catalá; Jose Maria Alonso-Moral (FUZZ, 2024)

DeepR3: Reducing, Reusing and Recycling Large Models for Developing Responsible and Green Language Technologies. - Aitor Soroa; German Rigau; Jose Maria Alonso-Moral; Marcos García 001; Maite Melero; Marta Villegas (SEPLN (Projects and Demonstrations), 2024)

Sexism Detection on a Data Diet. - Rabiraj Bandyopadhyay; Dennis Assenmacher; Jose Maria Alonso-Moral; Claudia Wagner 001 (WebSci (Companion), 2024)

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing. - Ettore Mariotti; Anna Arias-Duart; Michele Cafagna; Albert Gatt; Dario Garcia-Gasulla; Jose Maria Alonso-Moral (IEEE Access, 2024)

Information-seeking dialogue for explainable artificial intelligence: Modelling and analytics. - Ilia Stepin; Katarzyna Budzynska; Alejandro Catalá; Martin Pereira-Fariña; Jose Maria Alonso-Moral (Argument Comput., 2024)

An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence. - Roberto Confalonieri 001; Jose Maria Alonso-Moral (IEEE Intell. Syst., 2024)

Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem. - Luca Nannini; Jose Maria Alonso-Moral; Alejandro Catalá; Manuel Lama; Senén Barro (IEEE Intell. Syst., 2024)

Enriching interactive explanations with fuzzy temporal constraint networks. - Mariña Canabal-Juanatey; Jose Maria Alonso-Moral; Alejandro Catalá; Alberto José Bugarín Diz (Int. J. Approx. Reason., 2024)

An Empirical Study on the Number of Items in Human Evaluation of Automatically Generated Texts. - Javier González-Corbelle; Jose Maria Alonso-Moral; Rosa M. Crujeiras; Alberto José Bugarín Diz (Proces. del Leng. Natural, 2024)

The role of ontologies and knowledge in Explainable AI. - Roberto Confalonieri 001; Oliver Kutz; Diego Calvanese; Jose Maria Alonso-Moral; Shang-Ming Zhou (Semantic Web, 2024)

How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]. - Ilia Stepin; Muhammad Suffian Nizami; Alejandro Catalá; Jose Maria Alonso-Moral (IEEE Comput. Intell. Mag., 2024)

Introducing User Feedback-Based Counterfactual Explanations (UFCE). - Muhammad Suffian Nizami; Jose Maria Alonso-Moral; Alessandro Bogliolo (Int. J. Comput. Intell. Syst., 2024)

The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI. - Muhammad Suffian Nizami; Ulrike Kuhl; Alessandro Bogliolo; Jose Maria Alonso-Moral (Int. J. Hum. Comput. Stud., 2025)