Un Sistema de Transformación para Programas Multiparadigma. - María Alpuente; Moreno Falaschi; César Ferri; Ginés Moreno; Germán Vidal (Inteligencia Artif., 1999)

Improving Functional Logic Programs by Difference-Lists. - Elvira Albert; César Ferri; Frank Steiner; Germán Vidal (ASIAN, 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)

List-Processing Optimizations in a Multi-Paradigm Declarative Language. - Elvira Albert; César Ferri; Frank Steiner; Germán Vidal (WFLP, 2000)

Learning functional logic classification concepts from databases. - César Ferri; 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)

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)

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)

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)

Multi-paradigm learning of declarative models. - Cèsar Ferri Ramirez (AI Commun., 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)

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)

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

An Improved Model Selection Heuristic for AUC. - Shaomin Wu; Peter A. Flach; Cèsar Ferri Ramirez (ECML, 2007)

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)

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)

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)

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

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

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

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

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

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

Airvlc: An Application for Real-Time Forecasting Urban Air Pollution. - Lidia Contreras Ochando; Cristina I. Font Julián; Francisco Contreras Ochando; Cèsar Ferri Ramirez (MUD@ICML, 2015)

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

Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014). - Cèsar Ferri Ramirez; Peter A. Flach; Nicolas Lachiche (SIGKDD Explor., 2015)

Wind-sensitive Interpolation of Urban Air Pollution Forecasts. - Lidia Contreras Ochando; César Ferri (ICCS, 2016)

Identifying the Sport Activity of GPS Tracks. - Cèsar Ferri Ramírez (ICCS, 2016)

airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts. - Lidia Contreras Ochando; César Ferri (ICDM Workshops, 2016)

Cycling Network Projects: A Decision-Making Aid Approach. - Fernando Martínez-Plumed; César Ferri; Lidia Contreras Ochando (SoGood@ECML-PKDD, 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)

Zipf's and Benford's laws in Twitter hashtags. - José Alberto Pérez-Melián; J. Alberto Conejero; Cèsar Ferri Ramirez (EACL (Student Research Workshop), 2017)

ADoCS: Automatic Designer of Conference Schedules. - Diego Vallejo-Huanga; Paulina Adriana Morillo Alcívar; Cèsar Ferri Ramirez (EACL (Software Demonstrations), 2017)

Improving Performance of Multiclass Classification by Inducing Class Hierarchies. - Daniel Silva-Palacios; César Ferri; María José Ramírez-Quintana (ICCS, 2017)

Semi-Supervised Clustering Algorithms for Grouping Scientific Articles. - Diego Vallejo-Huanga; Paulina Morillo; César Ferri (ICCS, 2017)

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

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

Adapting Hierarchical Multiclass Classification to Changes in the Target Concept. - Daniel Silva-Palacios; Cèsar Ferri; María José Ramírez-Quintana (CAEPIA, 2018)

SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration. - Fernando Martínez-Plumed; Juan Carlos Casamayor; Cèsar Ferri; Jon Ander Gómez; Eduardo Vendrell Vidal (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 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)

Probabilistic class hierarchies for multiclass classification. - Daniel Silva-Palacios; Cèsar Ferri; María José Ramírez-Quintana (J. Comput. Sci., 2018)

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)

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

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

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

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)

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)

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)

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)

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

Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty. - Raül Fabra-Boluda; Cèsar Ferri; Fernando Martínez-Plumed; María José Ramírez-Quintana (EBeM@IJCAI, 2022)

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

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)

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)

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)

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

A historical perspective of biomedical explainable AI research. - Luca Malinverno; Vesna Barros; Francesco Ghisoni; Giovanni Visonà; Roman Kern; Philip J. Nickel; Barbara Elvira Ventura; Ilija Simic; Sarah Stryeck; Francesca Manni; César Ferri; Claire Jean-Quartier; et al. (Patterns, 2023)

EquinorQA: Large Language Models for Question Answering Over Proprietary Data. - Darío Garigliotti; Bjarte Johansen; Jakob Vigerust Kallestad; Seong-Eun Cho; Cèsar Ferri (ECAI, 2024)

Automatic PDF Document Classification with Machine Learning. - Sócrates Llácer Luna; Darío Garigliotti; Fernando Martínez-Plumed; Cèsar Ferri Ramirez (IDEAL (1), 2024)

Evaluating Performance and Trustworthiness of RAG Systems for Generating Administrative Text. - Hugo Sánchez-Navalón; Carlos Monserrat; Darío Garigliotti; Cèsar Ferri (IDEAL (1), 2024)

An Interactive Tool for Interpretability of Time Series Classification. - Brigt Arve Toppe Håvardstun; Cèsar Ferri; Jan Arne Telle (ECML/PKDD (8), 2024)

Optimal Robust Simplifications for Explaining Time Series Classifications. - Jan Arne Telle; Cèsar Ferri; Brigt Arve Toppe Håvardstun (TempXAI@PKDD/ECML, 2024)

XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users. - Brigt Arve Toppe Håvardstun; Cèsar Ferri; Kristian Flikka; Jan Arne Telle (xAI (3), 2024)

Analysis and discovery of procrastination patterns in a language learning MOOC. - Jorge A. Vázquez Mendoza; Cèsar Ferri Ramírez; Carlos Monserrat Aranda (Comput. Educ., 2024)

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

Unveiling the robustness of machine learning families. - Raül Fabra-Boluda; Cèsar Ferri; María José Ramírez-Quintana; Fernando Martínez-Plumed (Mach. Learn. Sci. Technol., 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)

MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs. - Félix Martí Pérez; Ana Domínguez-Rodríguez; Cèsar Ferri; Carlos Monserrat (AAAI, 2025)

Refining Community Detection in Social Networks: Agglomerative and Divisive Methods with Size Constraints. - Diego Vallejo-Huanga; Erlend Eindride Fasmer; Cèsar Ferri; Fernando Martínez-Plumed (MDAI, 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)

Evaluating Simplification Algorithms for Interpretability of Time Series Classification. - Félix Martí Pérez; Brigt Arve Toppe Håvardstun; Cèsar Ferri; Carlos Monserrat; Jan Arne Telle (CoRR, 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)