Fernando Martínez-Plumed

According to our database, Fernando Martínez-Plumed authored at least 53 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Training Data Scientists Through Project-Based Learning.

Fernando Martínez-Plumed, José Hernández-Orallo

Rev. Iberoam. de Tecnol. del Aprendiz., August, 2023

Can language models automate data wrangling?

Gonzalo Jaimovitch-Lopez, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana

Mach. Learn., June, 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., April, 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

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, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo

CoRR, 2023

Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty.

Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Reject Before You Run: Small Assessors Anticipate Big Language Models.

Lexin Zhou, Fernando Martínez-Plumed, José Hernández-Orallo, Cèsar Ferri, Wout Schellaert

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 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

Proceedings of the Thirty-First International Joint Conference on Artificial 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

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Training on the Test Set: Mapping the System-Problem Space in AI.

José Hernández-Orallo, Wout Schellaert, Fernando Martínez-Plumed

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Futures of artificial intelligence through technology readiness levels.

Fernando Martínez-Plumed, Emilia Gómez, José Hernández-Orallo

Telematics Informatics, 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

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

Editor's Note.

Amparo Alonso-Betanzos, Pedro Cabalar, Graçaliz Pereira Dimuro, Marcos García, José Hernández-Orallo, Raquel Hervás, Angeles Manjarés, Fernando Martínez-Plumed, Inmaculada Mora-Jiménez, Miquel Sànchez-Marrè

Int. J. Interact. Multim. Artif. Intell., 2021

Compute and Energy Consumption Trends in Deep Learning Inference.

Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo

CoRR, 2021

Project-Based Learning for Scaffolding Data Scientists' Skills.

Fernando Martínez-Plumed, José Hernández-Orallo

Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020

Dual Indicators to Analyze AI Benchmarks: Difficulty, Discrimination, Ability, and Generality.

Fernando Martínez-Plumed, José Hernández-Orallo

IEEE Trans. Games, 2020

Tracking AI: The Capability Is (Not) Near.

Fernando Martínez-Plumed, José Hernández-Orallo, Emilia Gómez

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 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

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Fairness and Missing Values.

Fernando Martínez-Plumed, Cèsar Ferri, David Nieves, José Hernández-Orallo

CoRR, 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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Surveying Safety-relevant AI Characteristics.

José Hernández-Orallo, Fernando Martínez-Plumed, Shahar Avin, Seán Ó hÉigeartaigh

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them.

Fernando Martínez-Plumed, José Hernández-Orallo

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

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

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

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

Proceedings of the ECML PKDD 2018 Workshops, 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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Identifying the Machine Learning Family from Black-Box Models.

Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana

Proceedings of the Advances in Artificial Intelligence, 2018

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

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

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

Incremental and developmental perspectives for general-purpose learning systems.

Fernando Martínez-Plumed

Inteligencia Artif., 2017

Modelling Machine Learning Models.

Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, M. José Ramírez-Quintana

Proceedings of the Philosophy and Theory of Artificial Intelligence 2017, 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, Henry Shevlin, Adrian Weller, Alan F. T. Winfield, José Hernández-Orallo

Proceedings of the Philosophy and Theory of Artificial Intelligence 2017, 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

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Cycling Network Projects: A Decision-Making Aid Approach.

Fernando Martínez-Plumed, César Ferri, Lidia Contreras Ochando

Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, 2016

Making Sense of Item Response Theory in Machine Learning.

Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

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

Knowledge acquisition with forgetting: an incremental and developmental setting.

Fernando Martínez-Plumed, César Ferri, José Hernández-Orallo, María José Ramírez

Adapt. Behav., 2015

Pentaho + R: An Integral View for Multidimensional Prediction Models.

Adolfo Martínez Usó, José Hernández-Orallo, M. José Ramírez-Quintana, Fernando Martínez-Plumed

Proceedings of the Advances in Artificial Intelligence, 2015

2014

A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems.

Fernando Martínez-Plumed, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

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

2012

Learning with Configurable Operators and RL-Based Heuristics.

Fernando Martínez-Plumed, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

2010

Newton Trees.

Fernando Martínez-Plumed, Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010