Inverse Narrowing for the Induction of Functional Logic Programs. - José Hernández-Orallo; M. José Ramírez-Quintana (APPIA-GULP-PRODE, 1998)

A Strong Complete Schmema for Inductive Functional Logic Programming. - José Hernández-Orallo; M. José Ramírez-Quintana (ILP, 1999)

Software as Learning: Quality Factors and Life-Cycle Revised. - José Hernández-Orallo; M. José Ramírez-Quintana (FASE, 2000)

Universal Learning of Classes from Sparse and Non-uniform Evidence. - Cèsar Ferri Ramirez; José Hernández-Orallo; M. José Ramírez-Quintana (ILP Work-in-progress reports, 2000)

Learning functional logic classification concepts from databases. - César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (WFLP, 2000)

The role of induction in (semi-)automated software life-cycles. - José Hernández-Orallo; M. José Ramírez-Quintana (WFLP, 2000)

Aprendizaje Automatico de Programas Logico-Funcionales. - César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Inteligencia Artif., 2000)

Truth from Trash. How Learning Makes Sense by Chris Thornton. - José Hernández-Orallo (Artif. Intell., 2000)

Thesis: Computational measures of information gain and reinforcement in inference processes. - José Hernández-Orallo (AI Commun., 2000)

Constructive reinforcement learning. - José Hernández-Orallo (Int. J. Intell. Syst., 2000)

Beyond the Turing Test. - José Hernández-Orallo (J. Log. Lang. Inf., 2000)

AND/OR trees for the learning of functional logic programs. - Cèsar Ferri Ramírez; José Hernández-Orallo; María José Ramírez-Quintana (APPIA-GULP-PRODE, 2001)

Incremental Learning of Functional Logic Programs. - César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (FLOPS, 2001)

Predictive Software. - José Hernández-Orallo; M. José Ramírez-Quintana (Autom. Softw. Eng., 2001)

From Ensemble Methods to Comprehensible Models. - César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Discovery Science, 2002)

Shared Ensemble Learning Using Multi-trees. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (IBERAMIA, 2002)

Induction of Decision Multi-trees Using Levin Search. - César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (International Conference on Computational Science (1), 2002)

Learning Decision Trees Using the Area Under the ROC Curve. - César Ferri; Peter A. Flach; José Hernández-Orallo (ICML, 2002)

SMILES: A Multi-purpose Learning System. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (JELIA, 2002)

Improving the AUC of Probabilistic Estimation Trees. - César Ferri; Peter A. Flach; José Hernández-Orallo (ECML, 2003)

Volume under the ROC Surface for Multi-class Problems. - César Ferri; José Hernández-Orallo; Miguel A. Salido (ECML, 2003)

Beam Search Extraction and Forgetting Strategies on Shared Ensembles. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Multiple Classifier Systems, 2003)

Simple Mimetic Classifiers. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (MLDM, 2003)

Cost-sensitive diagnosis of declarative programs. - Demis Ballis; Moreno Falaschi; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (WFLP, 2003)

Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models. - Ricardo Blanco-Vega; José Hernández-Orallo; M. José Ramírez-Quintana (Discovery Science, 2004)

Delegating classifiers. - César Ferri; Peter A. Flach; José Hernández-Orallo (ICML, 2004)

Bagging Decision Multi-trees. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Multiple Classifier Systems, 2004)

Cautious Classifiers. - César Ferri; José Hernández-Orallo (ROCAI, 2004)

The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004). - José Hernández-Orallo; César Ferri; Nicolas Lachiche; Peter A. Flach (SIGKDD Explor., 2004)

Data Warehousing and OLAP. - José Hernández-Orallo (Encyclopedia of Database Technologies and Applications, 2005)

Knowledge Discovery from Databases. - José Hernández-Orallo (Encyclopedia of Database Technologies and Applications, 2005)

Knowledge acquisition through machine learning: minimising expert's effort. - Ricardo Blanco-Vega; José Hernández-Orallo; M. José Ramírez-Quintana (ICMLA, 2005)

Distance Based Generalisation. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (ILP, 2005)

Web Categorisation Using Distance-Based Decision Trees. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (WWV, 2005)

Minimal Distance-Based Generalisation Operators for First-Order Objects. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (ILP, 2006)

The Mimetic Technique when the Original Data is Not Available: Model Learning and Revision. - Ricardo Blanco-Vega; José Hernández-Orallo; M. José Ramírez-Quintana (Inteligencia Artif., 2006)

Similarity Functions for Structured Data. An Application to Decision Trees. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Inteligencia Artif., 2006)

Joint Cutoff Probabilistic Estimation Using Simulation: A Mailing Campaign Application. - Antonio Bella; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (IDEAL, 2007)

Hierarchical Distance-Based Conceptual Clustering. - Ana Maria Funes; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (ECML/PKDD (1), 2008)

Generalisation Operators for Lists Embedded in a Metric Space. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (AAIP, 2009)

Negotiation with Price-dependent Probability Models. - Antonio Bella; César Ferri; José Hernández-Orallo; María José Ramírez-Quintana (WAT, 2009)

Similarity-Binning Averaging: A Generalisation of Binning Calibration. - Antonio Bella; Cèsar Ferri Ramirez; José Hernández-Orallo; M. José Ramírez-Quintana (IDEAL, 2009)

An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning. - Ana Funes; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (PAKDD, 2009)

An experimental comparison of performance measures for classification. - César Ferri; José Hernández-Orallo; R. Modroiu (Pattern Recognit. Lett., 2009)

Newton Trees. - Fernando Martínez-Plumed; Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Australasian Conference on Artificial Intelligence, 2010)

An Integrated Distance for Atoms. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (FLOPS, 2010)

Quantification via Probability Estimators. - Antonio Bella; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (ICDM, 2010)

Data Mining Strategies for CRM Negotiation Prescription Problems. - Antonio Bella; Cèsar Ferri Ramirez; José Hernández-Orallo; M. José Ramírez-Quintana (IEA/AIE (1), 2010)

Measuring universal intelligence: Towards an anytime intelligence test. - José Hernández-Orallo; David L. Dowe (Artif. Intell., 2010)

Annotated English - José Hernández-Orallo (CoRR, 2010)

Applying distances between terms to both flat and hierarchical data. - Jorge A. Bedoya-Puerta; José Hernández-Orallo; Cèsar Ferri; María José Ramírez-Quintana (AAIP, 2011)

Compression and Intelligence: Social Environments and Communication. - David L. Dowe; José Hernández-Orallo; Paramjit K. Das (AGI, 2011)

On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence. - José Hernández-Orallo; David L. Dowe; Sergio España-Cubillo; M. Victoria Hernández-Lloreda; Javier Insa-Cabrera (AGI, 2011)

Comparing Humans and AI Agents. - Javier Insa-Cabrera; David L. Dowe; Sergio España-Cubillo; M. Victoria Hernández-Lloreda; José Hernández-Orallo (AGI, 2011)

Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test. - Javier Insa-Cabrera; David L. Dowe; José Hernández-Orallo (CAEPIA, 2011)

A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance. - Peter A. Flach; José Hernández-Orallo; Cèsar Ferri Ramirez (ICML, 2011)

Brier Curves: a New Cost-Based Visualisation of Classifier Performance. - José Hernández-Orallo; Peter A. Flach; Cèsar Ferri Ramirez (ICML, 2011)

Using negotiable features for prescription problems. - Antonio Bella; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Computing, 2011)

An architecture for the evaluation of intelligent systems - Javier Insa-Cabrera; José Hernández-Orallo (CoRR, 2011)

Technical Note: Towards ROC Curves in Cost Space - José Hernández-Orallo; Peter A. Flach; Cèsar Ferri Ramirez (CoRR, 2011)

Analysis of first prototype universal intelligence tests: evaluating and comparing AI algorithms and humans - Javier Insa-Cabrera; José Hernández-Orallo (CoRR, 2011)

Application of distances between terms for flat and hierarchical data - Jorge-Alonso Bedoya-Puerta; José Hernández-Orallo (CoRR, 2011)

Threshold Choice Methods: the Missing Link - José Hernández-Orallo; Peter A. Flach; César Ferri (CoRR, 2011)

On Measuring Social Intelligence: Experiments on Competition and Cooperation. - Javier Insa-Cabrera; Jose-Luis Benacloch-Ayuso; José Hernández-Orallo (AGI, 2012)

Turing Tests with Turing Machines. - José Hernández-Orallo; Javier Insa-Cabrera; David L. Dowe; Bill Hibbard (Turing-100, 2012)

Learning with Configurable Operators and RL-Based Heuristics. - Fernando Martínez-Plumed; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (NFMCP, 2012)

On the influence of intelligence in (social) intelligence testing environments - Javier Insa-Cabrera; Jose-Luis Benacloch-Ayuso; José Hernández-Orallo (CoRR, 2012)

Soft (Gaussian CDE) regression models and loss functions - José Hernández-Orallo (CoRR, 2012)

A unified view of performance metrics: translating threshold choice into expected classification loss. - José Hernández-Orallo; Peter A. Flach; César Ferri (J. Mach. Learn. Res., 2012)

On the effect of calibration in classifier combination. - Antonio Bella; Cèsar Ferri Ramirez; José Hernández-Orallo; M. José Ramírez-Quintana (Appl. Intell., 2013)

On the definition of a general learning system with user-defined operators. - Fernando Martínez-Plumed; Cèsar Ferri Ramirez; José Hernández-Orallo; M. José Ramírez-Quintana (CoRR, 2013)

Complexity distribution of agent policies - José Hernández-Orallo (CoRR, 2013)

A short note on estimating intelligence from user profiles in the context of universal psychometrics: prospects and caveats - José Hernández-Orallo (CoRR, 2013)

On the universality of cognitive tests - David L. Dowe; José Hernández-Orallo (CoRR, 2013)

Test cost and misclassification cost trade-off using reframing - Celestine Periale Maguedong-Djoumessi; José Hernández-Orallo (CoRR, 2013)

On Potential Cognitive Abilities in the Machine Kingdom. - José Hernández-Orallo; David L. Dowe (Minds Mach., 2013)

ROC curves in cost space. - José Hernández-Orallo; Peter A. Flach; César Ferri (Mach. Learn., 2013)

ROC curves for regression. - José Hernández-Orallo (Pattern Recognit., 2013)

A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems. - Fernando Martínez-Plumed; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (ICMLA, 2014)

How universal can an intelligence test be? - David L. Dowe; José Hernández-Orallo (Adapt. Behav., 2014)

Bridging the Gap between Distance and Generalization. - Vicent Estruch; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Comput. Intell., 2014)

Universal psychometrics: Measuring cognitive abilities in the machine kingdom. - José Hernández-Orallo; David L. Dowe; M. Victoria Hernández-Lloreda (Cogn. Syst. Res., 2014)

AI Evaluation: past, present and future. - José Hernández-Orallo (CoRR, 2014)

A note about the generalisation of the $C$-tests. - José Hernández-Orallo (CoRR, 2014)

Definition and properties to assess multi-agent environments as social intelligence tests. - Javier Insa-Cabrera; José Hernández-Orallo (CoRR, 2014)

Aggregative quantification for regression. - Antonio Bella; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (Data Min. Knowl. Discov., 2014)

Probabilistic Reframing for Cost-Sensitive Regression. - José Hernández-Orallo (ACM Trans. Knowl. Discov. Data, 2014)

Stochastic Tasks: Difficulty and Levin Search. - José Hernández-Orallo (AGI, 2015)

C-Tests Revisited: Back and Forth with Complexity. - José Hernández-Orallo (AGI, 2015)

Instrumental Properties of Social Testbeds. - Javier Insa-Cabrera; José Hernández-Orallo (AGI, 2015)

Pentaho + R: An Integral View for Multidimensional Prediction Models. - Adolfo Martínez Usó; José Hernández-Orallo; M. José Ramírez-Quintana; Fernando Martínez-Plumed (CAEPIA, 2015)

Multidimensional Prediction Models When the Resolution Context Changes. - Adolfo Martínez Usó; José Hernández-Orallo (ECML/PKDD (2), 2015)

On environment difficulty and discriminating power. - José Hernández-Orallo (Auton. Agents Multi Agent Syst., 2015)

Knowledge acquisition with forgetting: an incremental and developmental setting. - Fernando Martínez-Plumed; César Ferri; José Hernández-Orallo; María José Ramírez (Adapt. Behav., 2015)

Inductive programming meets the real world. - Sumit Gulwani; José Hernández-Orallo; Emanuel Kitzelmann; Stephen H. Muggleton; Ute Schmid; Benjamin G. Zorn (Commun. ACM, 2015)

Universal Psychometrics Tasks: difficulty, composition and decomposition. - José Hernández-Orallo (CoRR, 2015)

Forgetting and consolidation for incremental and cumulative knowledge acquisition systems. - Fernando Martínez-Plumed; César Ferri; José Hernández-Orallo; M. José Ramírez-Quintana (CoRR, 2015)

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 15442). - José Hernández-Orallo; Stephen H. Muggleton; Ute Schmid; Benjamin G. Zorn (Dagstuhl Reports, 2015)

Can Machine Intelligence be Measured in the Same Way as Human intelligence? - Tarek R. Besold; José Hernández-Orallo; Ute Schmid (Künstliche Intell., 2015)

Derek Partridge: What Makes You Clever: The Puzzle of Intelligence - World Scientific, 2013, xvi+447, $25.00, ISBN: 978-981-4513. - José Hernández-Orallo (Minds Mach., 2015)

Is Spearman's Law of Diminishing Returns (SLODR) Meaningful for Artificial Agents? - José Hernández-Orallo (ECAI, 2016)

Making Sense of Item Response Theory in Machine Learning. - Fernando Martínez-Plumed; Ricardo B. C. Prudêncio; Adolfo Martínez Usó; José Hernández-Orallo (ECAI, 2016)

Computer models solving intelligence test problems: Progress and implications. - José Hernández-Orallo; Fernando Martínez-Plumed; Ute Schmid; Michael Siebers; David L. Dowe (Artif. Intell., 2016)

Reframing in context: A systematic approach for model reuse in machine learning. - José Hernández-Orallo; Adolfo Martínez Usó; Ricardo B. C. Prudêncio; Meelis Kull; Peter A. Flach; Chowdhury Farhan Ahmed; Nicolas Lachiche (AI Commun., 2016)

Binarised regression tasks: methods and evaluation metrics. - José Hernández-Orallo; César Ferri; Nicolas Lachiche; Adolfo Martínez Usó; M. José Ramírez-Quintana (Data Min. Knowl. Discov., 2016)

The Measure of All Minds: Evaluating Natural and Artificial Intelligence - José Hernández-Orallo (Cambridge University Press, 2017)

Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). - José Hernández-Orallo; Fernando Martínez-Plumed; Ute Schmid; Michael Siebers; David L. Dowe (IJCAI, 2017)

Low-level Event Detection System for Minimally-Invasive Surgery Training. - David Nieves; César Ferri; José Hernández-Orallo; Carlos Monserrat (iWOAR, 2017)

Knowledge Extraction from Task Narratives. - Kristina Y. Yordanova; Carlos Monserrat; David Nieves; José Hernández-Orallo (iWOAR, 2017)

Mapping Intelligence: Requirements and Possibilities. - Sankalp Bhatnagar; Anna Alexandrova; Shahar Avin; Stephen Cave; Lucy Cheke; Matthew Crosby; Jan Feyereisl; Marta Halina; Bao Sheng Loe; Seán Ó hÉigeartaigh; Fernando Martínez-Plumed; Huw Price; et al. (PT-AI, 2017)

Modelling Machine Learning Models. - Raül Fabra-Boluda; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; M. José Ramírez-Quintana (PT-AI, 2017)

A New AI Evaluation Cosmos: Ready to Play the Game? - José Hernández-Orallo; Marco Baroni; Jordi Bieger; Nader Chmait; David L. Dowe; Katja Hofmann; Fernando Martínez-Plumed; Claes Strannegård; Kristinn R. Thórisson (AI Mag., 2017)

Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement. - José Hernández-Orallo (Artif. Intell. Rev., 2017)

A computational analysis of general intelligence tests for evaluating cognitive development. - Fernando Martínez-Plumed; César Ferri; José Hernández-Orallo; María José Ramírez-Quintana (Cogn. Syst. Res., 2017)

CASP-DM: Context Aware Standard Process for Data Mining. - Fernando Martínez-Plumed; Lidia Contreras Ochando; César Ferri; Peter A. Flach; José Hernández-Orallo; Meelis Kull; Nicolas Lachiche; María José Ramírez-Quintana (CoRR, 2017)

Identifying the Machine Learning Family from Black-Box Models. - Raül Fabra-Boluda; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana (CAEPIA, 2018)

The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI. - Fernando Martínez-Plumed; Bao Sheng Loe; Peter A. Flach; Seán Ó hÉigeartaigh; Karina Vold; José Hernández-Orallo (IJCAI, 2018)

Finite Biased Teaching with Infinite Concept Classes. - José Hernández-Orallo; Jan Arne Telle (CoRR, 2018)

Accounting for the Neglected Dimensions of AI Progress. - Fernando Martínez-Plumed; Shahar Avin; Miles Brundage; Allan Dafoe; Seán Ó hÉigeartaigh; José Hernández-Orallo (CoRR, 2018)

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. - Emilia Gómez; Carlos Castillo 001; Vicky Charisi; Verónica Dahl; Gustavo Deco; Blagoj Delipetrev; Nicole Dewandre; Miguel Ángel González Ballester; Fabien Gouyon; José Hernández-Orallo; Perfecto Herrera; Anders Jonsson 001; et al. (CoRR, 2018)

A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. - Enrique Fernández-Macías; Emilia Gómez; José Hernández-Orallo; Bao Sheng Loe; Bertin Martens; Fernando Martínez-Plumed; Songül Tolan (CoRR, 2018)

General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (CoRR, 2018)

Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them. - Fernando Martínez-Plumed; José Hernández-Orallo (CoRR, 2018)

Surveying Safety-relevant AI Characteristics. - José Hernández-Orallo; Fernando Martínez-Plumed; Shahar Avin; Seán Ó hÉigeartaigh (SafeAI@AAAI, 2019)

AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI. - José Hernández-Orallo; Karina Vold (AIES, 2019)

The Animal-AI Testbed and Competition. - Matthew Crosby; Benjamin Beyret; Murray Shanahan; José Hernández-Orallo; Lucy Cheke; Marta Halina (NeurIPS (Competition and Demos), 2019)

Automating Common Data Science Matrix Transformations. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo (PKDD/ECML Workshops (1), 2019)

Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (ECML/PKDD (3), 2019)

BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. - Lidia Contreras Ochando; César Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana; Susumu Katayama (ECML/PKDD (3), 2019)

Item response theory in AI: Analysing machine learning classifiers at the instance level. - Fernando Martínez-Plumed; Ricardo B. C. Prudêncio; Adolfo Martínez Usó; José Hernández-Orallo (Artif. Intell., 2019)

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. - Guy Barash; Mauricio Castillo-Effen; Niyati Chhaya; Peter Clark; Huáscar Espinoza; Eitan Farchi; Christopher W. Geib; Odd Erik Gundersen; Seán Ó hÉigeartaigh; José Hernández-Orallo; Chiori Hori; Xiaowei Huang 001; et al. (AI Mag., 2019)

Fairness and Missing Values. - Fernando Martínez-Plumed; Cèsar Ferri; David Nieves; José Hernández-Orallo (CoRR, 2019)

The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition. - Benjamin Beyret; José Hernández-Orallo; Lucy Cheke; Marta Halina; Murray Shanahan; Matthew Crosby (CoRR, 2019)

Setting decision thresholds when operating conditions are uncertain. - Cèsar Ferri; José Hernández-Orallo; Peter A. Flach (Data Min. Knowl. Discov., 2019)

AI Generality and Spearman's Law of Diminishing Returns. - José Hernández-Orallo (J. Artif. Intell. Res., 2019)

The teaching size: computable teachers and learners for universal languages. - Jan Arne Telle; José Hernández-Orallo; Cèsar Ferri (Mach. Learn., 2019)

Gazing into Clever Hans machines. - José Hernández-Orallo (Nat. Mach. Intell., 2019)

Exploring AI Safety in Degrees: Generality, Capability and Control. - John Burden; José Hernández-Orallo (SafeAI@AAAI, 2020)

Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. - Fernando Martínez-Plumed; Songül Tolan; Annarosa Pesole; José Hernández-Orallo; Enrique Fernández-Macías; Emilia Gómez (AIES, 2020)

AI Safety Landscape From short-term specific system engineering to long-term artificial general intelligence. - José Hernández-Orallo (DSN Workshops, 2020)

Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques. - Raül Fabra-Boluda; Cèsar Ferri; Fernando Martínez-Plumed; José Hernández-Orallo; M. José Ramírez-Quintana (ECAI, 2020)

Finite and Confident Teaching in Expectation: Sampling from Infinite Concept Classes. - José Hernández-Orallo; Jan Arne Telle (ECAI, 2020)

AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. - José Hernández-Orallo; Fernando Martínez-Plumed; Shahar Avin; Jess Whittlestone; Seán Ó hÉigeartaigh (ECAI, 2020)

Tracking AI: The Capability Is (Not) Near. - Fernando Martínez-Plumed; José Hernández-Orallo; Emilia Gómez (ECAI, 2020)

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. - Grace Bang; Guy Barash; Ryan Beal; Jacques Calì; Mauricio Castillo-Effen; Xin Cynthia Chen; Niyati Chhaya; Rachel Cummings; Rohan Dhoopar; Sebastijan Dumancic; Huáscar Espinoza; Eitan Farchi; et al. (AI Mag., 2020)

Evaluating the Apperception Engine. - Richard Evans 001; José Hernández-Orallo; Johannes Welbl; Pushmeet Kohli; Marek J. Sergot (CoRR, 2020)

Learning alternative ways of performing a task. - David Nieves; María José Ramírez-Quintana; Carlos Monserrat Aranda; Cèsar Ferri; José Hernández-Orallo (Expert Syst. Appl., 2020)

Twenty Years Beyond the Turing Test: Moving Beyond the Human Judges Too. - José Hernández-Orallo (Minds Mach., 2020)

Dual Indicators to Analyze AI Benchmarks: Difficulty, Discrimination, Ability, and Generality. - Fernando Martínez-Plumed; José Hernández-Orallo (IEEE Trans. Games, 2020)

Negative Side Effects and AI Agent Indicators: Experiments in SafeLife. - John Burden; José Hernández-Orallo; Seán Ó hÉigeartaigh (SafeAI@AAAI, 2021)

Project-Based Learning for Scaffolding Data Scientists' Skills. - Fernando Martínez-Plumed; José Hernández-Orallo (ICCSE, 2021)

Muppets: Multipurpose Table Segmentation. - Gust Verbruggen; Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Luc De Raedt (IDA, 2021)

Think Big, Teach Small: Do Language Models Distil Occam's Razor? - Gonzalo Jaimovitch-López; David Castellano Falcón; César Ferri; José Hernández-Orallo (NeurIPS, 2021)

Optimal Teaching Curricula with Compositional Simplicity Priors. - Manuel Garcia-Piqueras; José Hernández-Orallo (ECML/PKDD (1), 2021)

Making sense of sensory input. - Richard Evans 001; José Hernández-Orallo; Johannes Welbl; Pushmeet Kohli; Marek J. Sergot (Artif. Intell., 2021)

Automating Data Science: Prospects and Challenges. - Tijl De Bie; Luc De Raedt; José Hernández-Orallo; Holger H. Hoos; Padhraic Smyth; Christopher K. I. Williams (CoRR, 2021)

Conditional Teaching Size. - Manuel Garcia-Piqueras; José Hernández-Orallo (CoRR, 2021)

Compute and Energy Consumption Trends in Deep Learning Inference. - Radosvet Desislavov; Fernando Martínez-Plumed; José Hernández-Orallo (CoRR, 2021)

Editor's Note. - Amparo Alonso-Betanzos; Pedro Cabalar; Graçaliz Pereira Dimuro; Marcos García 001; José Hernández-Orallo; Raquel Hervás; Angeles Manjarés; Fernando Martínez-Plumed; Inmaculada Mora-Jiménez; Miquel Sànchez-Marrè (Int. J. Interact. Multim. Artif. Intell., 2021)

Missing the missing values: The ugly duckling of fairness in machine learning. - Fernando Martínez-Plumed; Cèsar Ferri; David Nieves; José Hernández-Orallo (Int. J. Intell. Syst., 2021)

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. - Songül Tolan; Annarosa Pesole; Fernando Martínez-Plumed; Enrique Fernández-Macías; José Hernández-Orallo; Emilia Gómez (J. Artif. Intell. Res., 2021)

AUTOMAT[R]IX: learning simple matrix pipelines. - Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo (Mach. Learn., 2021)

Futures of artificial intelligence through technology readiness levels. - Fernando Martínez-Plumed; Emilia Gómez; José Hernández-Orallo (Telematics Informatics, 2021)

CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. - Fernando Martínez-Plumed; Lidia Contreras Ochando; Cèsar Ferri; José Hernández-Orallo; Meelis Kull; Nicolas Lachiche; María José Ramírez-Quintana; Peter A. Flach (IEEE Trans. Knowl. Data Eng., 2021)

Teaching and Explanation: Aligning Priors between Machines and Humans. - José Hernández-Orallo; Cèsar Ferri (Human-Like Machine Intelligence, 2022)

How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild. - Pablo Antonio Moreno Casares; Bao Sheng Loe; John Burden; Seán Ó hÉigeartaigh; José Hernández-Orallo (AAAI, 2022)

Training on the Test Set: Mapping the System-Problem Space in AI. - José Hernández-Orallo; Wout Schellaert; Fernando Martínez-Plumed (AAAI, 2022)

When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty. - Fernando Martínez-Plumed; David Castellano Falcón; Carlos Monserrat Aranda; José Hernández-Orallo (AAAI, 2022)

Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. - Ryan Burnell; John Burden; Danaja Rutar; Konstantinos Voudouris; Lucy Cheke; José Hernández-Orallo (IJCAI, 2022)

A Framework for Categorising AI Evaluation Instruments. - Anthony G. Cohn 001; José Hernández-Orallo; Julius Sechang Mboli; Yael Moros-Daval; Zhiliang Xiang; Lexin Zhou (EBeM@IJCAI, 2022)

Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model. - Cèsar Ferri; José Hernández-Orallo; Jan Arne Telle (IJCAI, 2022)

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract). - Songül Tolan; Annarosa Pesole; Fernando Martínez-Plumed; Enrique Fernández-Macías; José Hernández-Orallo; Emilia Gómez (IJCAI, 2022)

Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment. - Konstantinos Voudouris; Niall Donnelly; Danaja Rutar; Ryan Burnell; John Burden; José Hernández-Orallo; Lucy Cheke (EBeM@IJCAI, 2022)

Reject Before You Run: Small Assessors Anticipate Big Language Models. - Lexin Zhou; Fernando Martínez-Plumed; José Hernández-Orallo; Cèsar Ferri; Wout Schellaert (EBeM@IJCAI, 2022)

Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents. - Yue Zhao 023; José Hernández-Orallo (ECML/PKDD (4), 2022)

Automating data science. - Tijl De Bie; Luc De Raedt; José Hernández-Orallo; Holger H. Hoos; Padhraic Smyth; Christopher K. I. Williams (Commun. ACM, 2022)

Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty. - Behzad Mehrbakhsh; Fernando Martínez-Plumed; José Hernández-Orallo (ECAI, 2023)

XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. - Brigt Arve Toppe Håvardstun; Cèsar Ferri; José Hernández-Orallo; Pekka Parviainen; Jan Arne Telle (ECML/PKDD (3), 2023)

Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs. - Anthony G. Cohn 001; José Hernández-Orallo (CoRR, 2023)

Revealing the structure of language model capabilities. - Ryan Burnell; Han Hao; Andrew R. A. Conway; José Hernández-Orallo (CoRR, 2023)

Inferring Capabilities from Task Performance with Bayesian Triangulation. - John Burden; Konstantinos Voudouris; Ryan Burnell; Danaja Rutar; Lucy Cheke; José Hernández-Orallo (CoRR, 2023)

Predictable Artificial Intelligence. - Lexin Zhou; Pablo Antonio Moreno Casares; Fernando Martínez-Plumed; John Burden; Ryan Burnell; Lucy Cheke; Cèsar Ferri; Alexandru Marcoci; Behzad Mehrbakhsh; Yael Moros-Daval; Seán Ó hÉigeartaigh; Danaja Rutar; et al. (CoRR, 2023)

An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI. - Ross Gruetzemacher; Alan Chan; Kevin Frazier; Christy Manning; Stepán Los; James Fox; José Hernández-Orallo; John Burden; Matija Franklin; Clíodhna Ní Ghuidhir; Mark M. Bailey; Daniel Eth; et al. (CoRR, 2023)

Evaluating General-Purpose AI with Psychometrics. - Xiting Wang; Liming Jiang 007; José Hernández-Orallo; Luning Sun; David Stillwell; Fang Luo; Xing Xie 001 (CoRR, 2023)

Animal-AI 3: What's New & Why You Should Care. - Konstantinos Voudouris; Ibrahim Alhas; Wout Schellaert; Matthew Crosby; Joel Holmes; John Burden; Niharika Chaubey; Niall Donnelly; Matishalin Patel; Marta Halina; José Hernández-Orallo; Lucy G. Cheke (CoRR, 2023)

Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. - Wout Schellaert; Fernando Martínez-Plumed; Karina Vold; John Burden; Pablo A. M. Casares; Bao Sheng Loe; Roi Reichart; Seán Ó hÉigeartaigh; Anna Korhonen; José Hernández-Orallo (J. Artif. Intell. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning. - Radosvet Desislavov; Fernando Martínez-Plumed; José Hernández-Orallo (Sustain. Comput. Informatics Syst., 2023)

Can language models automate data wrangling? - Gonzalo Jaimovitch-López; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana (Mach. Learn., 2023)

Training Data Scientists Through Project-Based Learning. - Fernando Martínez-Plumed; José Hernández-Orallo (Rev. Iberoam. de Tecnol. del Aprendiz., 2023)

Heuristic search of optimal machine teaching curricula. - Manuel Garcia-Piqueras; José Hernández-Orallo (Mach. Learn., 2023)

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). - Wout Schellaert; Fernando Martínez-Plumed; Karina Vold; John Burden; Pablo A. M. Casares; Bao Sheng Loe; Roi Reichart; Seán Ó hÉigeartaigh; Anna Korhonen; José Hernández-Orallo (AAAI, 2024)

Confounders in Instance Variation for the Analysis of Data Contamination. - Behzad Mehrbakhsh; Darío Garigliotti; Fernando Martínez-Plumed; José Hernández-Orallo (CONDA, 2024)

Caveats and Solutions for Characterising General-Purpose AI. - José Hernández-Orallo (ECAI, 2024)

Distilling the Effects of Language Model Contamination. - Behzad Mehrbakhsh; Fernando Martínez-Plumed; José Hernández-Orallo (ECAI, 2024)

Language Task Difficulty Prediction Through LLM-Annotated Meta-Features. - Yael Moros-Daval; Fernando Martínez-Plumed; José Hernández-Orallo (ECAI, 2024)

How Resilient are Language Models to Text Perturbations? - Daniel Romero-Alvarado; José Hernández-Orallo; Fernando Martínez-Plumed (IDEAL (1), 2024)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit Trivedi; Akbir Khan; Jesse Clifton; Lewis Hammond; Edgar A. Duéñez-Guzmán; Dipam Chakraborty; John P. Agapiou; Jayd Matyas; Alexander Sasha Vezhnevets; Barna Pásztor; Yunke Ao; Omar G. Younis; et al. (NeurIPS, 2024)

When Redundancy Matters: Machine Teaching of Representations. - Cèsar Ferri; Darío Garigliotti; Brigt Arve Toppe Håvardstun; José Hernández-Orallo; Jan Arne Telle (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

Conversational Complexity for Assessing Risk in Large Language Models. - John Burden; Manuel Cebrián; José Hernández-Orallo (CoRR, 2024)

100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances. - Lorenzo Pacchiardi; Lucy G. Cheke; José Hernández-Orallo (CoRR, 2024)

Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers. - Lorenzo Pacchiardi; Marko Tesic; Lucy G. Cheke; José Hernández-Orallo (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

Larger and More Instructable Language Models Turned Less Reliable (Code and Data). - Lexin Zhou; Wout Schellaert; Fernando Martínez-Plumed; Yael Moros-Daval; Cèsar Ferri; José Hernández-Orallo (Zenodo, 2024)

Larger and more instructable language models become less reliable (code and data). - Lexin Zhou; Wout Schellaert; Fernando Martínez-Plumed; Yael Moros-Daval; Cèsar Ferri; José Hernández-Orallo (Zenodo, 2024)

Larger and more instructable language models become less reliable (code and data). - Lexin Zhou; Wout Schellaert; Fernando Martínez-Plumed; Yael Moros-Daval; Cèsar Ferri; José Hernández-Orallo (Zenodo, 2024)

Larger and more instructable language models become less reliable. - Lexin Zhou; Wout Schellaert; Fernando Martínez-Plumed; Yael Moros-Daval; Cèsar Ferri; José Hernández-Orallo (Nat., 2024)

PredictaBoard: Benchmarking LLM Score Predictability. - Lorenzo Pacchiardi; Konstantinos Voudouris; Ben Slater; Fernando Martínez-Plumed; José Hernández-Orallo; Lexin Zhou; Wout Schellaert (ACL (Findings), 2025)

Cracking black-box models: Revealing hidden machine learning techniques behind their predictions. - Raül Fabra-Boluda; Cèsar Ferri; José Hernández-Orallo; M. José Ramrez-Quintana; Fernando Martínez-Plumed (Intell. Data Anal., 2025)

Open Problems in Machine Unlearning for AI Safety. - Fazl Barez; Tingchen Fu; Ameya Prabhu; Stephen Casper; Amartya Sanyal; Adel Bibi; Aidan O'Gara; Robert Kirk; Ben Bucknall; Timothy Fist; Luke Ong; Philip Torr 001; et al. (CoRR, 2025)

What should an AI assessor optimise for? - Daniel Romero-Alvarado; Fernando Martínez-Plumed; José Hernández-Orallo (CoRR, 2025)

Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. - John Burden; Marko Tesic; Lorenzo Pacchiardi; José Hernández-Orallo (CoRR, 2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power. - Lexin Zhou; Lorenzo Pacchiardi; Fernando Martínez-Plumed; Katherine M. Collins; Yael Moros-Daval; Seraphina Zhang; Qinlin Zhao; Yitian Huang; Luning Sun; Jonathan E. Prunty; Zongqian Li; Pablo Sánchez-García; et al. (CoRR, 2025)

Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI. - Danaja Rutar; Alva Markelius; Konstantinos Voudouris; José Hernández-Orallo; Lucy Cheke (CoRR, 2025)

Analysing the Predictability of Language Model Performance. - Wout Schellaert; Fernando Martínez-Plumed; José Hernández-Orallo (ACM Trans. Intell. Syst. Technol., 2025)

Relative Drawing Identification Complexity is Invariant to Modality in Vision-Language Models. - Diogo Freitas; Brigt Arve Toppe Håvardstun; Cèsar Ferri; Darío Garigliotti; Jan Arne Telle; José Hernández-Orallo (CoRR, 2025)

Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships. - Kerem Oktar; Katherine M. Collins; José Hernández-Orallo; Diane Coyle; Stephen Cave; Adrian Weller; Ilia Sucholutsky (CoRR, 2025)

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. - Yuchen Wu; Edward Sun; Kaijie Zhu; Jianxun Lian; José Hernández-Orallo; Aylin Caliskan; Jindong Wang 001 (CoRR, 2025)

Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents. - Irene Testini; José Hernández-Orallo; Lorenzo Pacchiardi (CoRR, 2025)