María Pérez-Ortiz

103 papers A* 5A 2B 10C 1Misc 6Journal 57Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentDrift: Unsafe Recommendation Drift Under Tool Corruption Hidden by Ranking Metrics in LLM Agents.
CoRR
Zekun Wu, Adriano S. Koshiyama, Sahan Bulathwela, María Pérez-Ortiz
2026 A* conf
AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems.
AAAI
Zekun Wu, Seonglae Cho, Cristian E. Muñoz Villalobos, Theo King, Umar Mohammed, Emre Kazim, María Pérez-Ortiz, Sahan Bulathwela, Adriano S. Koshiyama
2026 J jnl
Assessing the Robustness of Climate Foundation Models under No-Analog Distribution Shifts.
CoRR
Maria Conchita Agana Navarro, Geng Li, Theodore Wolf, María Pérez-Ortiz
2026 J jnl
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR
Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2025 J jnl
AI Will Always Love You: Studying Implicit Biases in Romantic AI Companions.
CoRR
Clare Grogan, Jackie Kay, María Pérez-Ortiz
2025 J jnl
Do machine learning climate models work in changing climate dynamics?
CoRR
Maria Conchita Agana Navarro, Geng Li, Theodore Wolf, María Pérez-Ortiz
2025 J jnl
Faithfulness of LLM Self-Explanations for Commonsense Tasks: Larger Is Better, and Instruction-Tuning Allows Trade-Offs but Not Pareto Dominance.
CoRR
Noah Y. Siegel, Nicolas Heess, María Pérez-Ortiz, Oana-Maria Camburu
2025 J jnl
From Prediction to Foresight: The Role of AI in Designing Responsible Futures.
CoRR
María Pérez-Ortiz
2025 — conf
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
NAACL (Long Papers)
Kenza Benkirane, Jackie Kay, María Pérez-Ortiz
2025 A conf
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis.
AAMAS
James Rudd-Jones, Mirco Musolesi, María Pérez-Ortiz
2025 J jnl
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis.
CoRR
James Rudd-Jones, Mirco Musolesi, María Pérez-Ortiz
2025 J jnl
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models.
CoRR
Sahan Bulathwela, Daniel van Niekerk, Jarrod Shipton, María Pérez-Ortiz, Benjamin Rosman, John Shawe-Taylor
2025 J jnl
Understanding Individual Decision-Making in Multi-Agent Reinforcement Learning: A Dynamical Systems Approach.
CoRR
James Rudd-Jones, María Pérez-Ortiz, Mirco Musolesi
2024 A* conf
A Toolbox for Modelling Engagement with Educational Videos.
AAAI
Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela
2024 J jnl
A Toolbox for Modelling Engagement with Educational Videos.
CoRR
Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela
2024 Misc conf
An Analysis of Stopping Strategies in Conversational Search Systems.
ICTIR
Xiao Fu, María Pérez-Ortiz, Aldo Lipani
2024 J jnl
Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games.
CoRR
Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li
2024 J jnl
Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation.
CoRR
Zekun Wu, Sahan Bulathwela, María Pérez-Ortiz, Adriano Soares Koshiyama
2024 J jnl
Crafting desirable climate trajectories with RL explored socio-environmental simulations.
CoRR
James Rudd-Jones, Fiona Thendean, María Pérez-Ortiz
2024 J jnl
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
CoRR
Kenza Benkirane, Jackie Kay, María Pérez-Ortiz
2024 — conf
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models.
EMNLP (Findings)
Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz
2024 J jnl
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models.
CoRR
Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz
2024 J jnl
The Effect of Model Size on LLM Post-hoc Explainability via LIME.
CoRR
Henning Heyen, Amy Widdicombe, Noah Y. Siegel, María Pérez-Ortiz, Philip C. Treleaven
2024 — conf
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.
ACL (Short Papers)
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz
2024 J jnl
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.
CoRR
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz
2024 J jnl
Transfer and zero-shot learning for scalable weed detection and classification in UAV images.
Knowl. Based Syst.
Nicolas Belissent, José M. Peña, Gustavo A. Mesías-Ruiz, John Shawe-Taylor, María Pérez-Ortiz
2023 J jnl
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models.
CoRR
Theodore Wolf, Nantas Nardelli, John Shawe-Taylor, María Pérez-Ortiz
2023 — conf
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback.
ORSUM@RecSys
Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Sahan Bulathwela
2023 J jnl
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback.
CoRR
Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Sahan Bulathwela
2022 B conf
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments.
EDM
Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2022 J jnl
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments.
CoRR
Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2022 J jnl
Comparing the carbon costs and benefits of low-resource solar nowcasting.
CoRR
Ben Dixon, María Pérez-Ortiz, Jacob Bieker
2022 J jnl
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality.
IEEE Trans. Multim.
Aliaksei Mikhailiuk, María Pérez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk
2022 — ed.
HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022.
HHAI
Stefan Schlobach, María Pérez-Ortiz, Myrthe Tielman
2022 B conf
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
CHIIR
María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz
2022 J jnl
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
CoRR
María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz
2021 J jnl
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All.
CoRR
María Pérez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor
2021 J jnl
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway, John Shawe-Taylor
2021 J jnl
Learning PAC-Bayes Priors for Probabilistic Neural Networks.
CoRR
María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler
2021 J jnl
PEEK: A Large Dataset of Learner Engagement with Educational Videos.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor
2021 J jnl
Progress in Self-Certified Neural Networks.
CoRR
María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor
2021 J jnl
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2021 J jnl
Tighter Risk Certificates for Neural Networks.
J. Mach. Learn. Res.
María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor, Csaba Szepesvári
2021 — conf
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI.
IUI Companion
María Pérez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, John Shawe-Taylor
2020 J jnl
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings.
CoRR
Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor
2020 B conf
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization.
ICPR
Aliaksei Mikhailiuk, Clifford Wilmot, María Pérez-Ortiz, Dingcheng Yue, Rafal K. Mantiuk
2020 J jnl
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization.
CoRR
Aliaksei Mikhailiuk, Clifford Wilmot, María Pérez-Ortiz, Dingcheng Yue, Rafal Mantiuk
2020 J jnl
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality.
CoRR
Aliaksei Mikhailiuk, María Pérez-Ortiz, Dingcheng Yue, Wilson Suen, Rafal K. Mantiuk
2020 — conf
Contrast Sensitivity Functions for HDR Displays.
LIM
Minjung Kim, Maliha Ashraf, María Pérez-Ortiz, Jasna Martinovic, Sophie M. Wuerger, Rafal K. Mantiuk
2020 J jnl
From Pairwise Comparisons and Rating to a Unified Quality Scale.
IEEE Trans. Image Process.
María Pérez-Ortiz, Aliaksei Mikhailiuk, Emin Zerman, Vedad Hulusic, Giuseppe Valenzise, Rafal K. Mantiuk
2020 B conf
Predicting Engagement in Video Lectures.
EDM
Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor
2020 J jnl
Predicting Engagement in Video Lectures.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor
2020 J jnl
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20).
SIGIR Forum
Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020 A conf
SUM'20: State-based User Modelling.
WSDM
Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020 J jnl
Tighter risk certificates for neural networks.
CoRR
María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor, Csaba Szepesvári
2020 A* conf
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract).
AAAI
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2020 A* conf
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources.
AAAI
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2020 J jnl
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2020 — conf
What's in it for me?: Augmenting Recommended Learning Resources with Navigable Annotations.
IUI Companion
Sahan Bulathwela, Stefan Kreitmayer, María Pérez-Ortiz
2019 J jnl
A mixture of experts model for predicting persistent weather patterns.
CoRR
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
2019 A* conf
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets.
AAAI
María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez
2019 J jnl
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets.
CoRR
María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez
2019 J jnl
ORCA: A Matlab/Octave Toolbox for Ordinal Regression.
J. Mach. Learn. Res.
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz
2019 J jnl
On the use of evolutionary time series analysis for segmenting paleoclimate data.
Neurocomputing
María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez
2019 J jnl
Towards an Integrative Educational Recommender for Lifelong Learners.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2019 J jnl
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources.
CoRR
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
2019 C conf
Visibility Metric for Visually Lossless Image Compression.
PCS
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
2018 J jnl
Binary ranking for ordinal class imbalance.
Pattern Anal. Appl.
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2018 J jnl
Partial order label decomposition approaches for melanoma diagnosis.
Appl. Soft Comput.
Javier Sánchez-Monedero, María Pérez-Ortiz, Aurora Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez
2018 B conf
Psychometric scaling of TID2013 dataset.
QoMEX
Aliaksei Mikhailiuk, María Pérez-Ortiz, Rafal Mantiuk
2018 B conf
Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video.
ICIP
Nanyang Ye, María Pérez-Ortiz, Rafal K. Mantiuk
2017 J jnl
A practical guide and software for analysing pairwise comparison experiments.
CoRR
María Pérez-Ortiz, Rafal K. Mantiuk
2017 — conf
An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning.
IWANN (2)
Francisco Javier Maestre-García, Carlos García-Martínez, María Pérez-Ortiz, Pedro Antonio Gutiérrez
2017 — conf
Class Switching Ensembles for Ordinal Regression.
IWANN (1)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Alberto Suárez
2017 — conf
Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
IWANN (2)
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2017 J jnl
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.
Artif. Intell. Medicine
Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro Antonio Gutiérrez, Rubén Ciria, Javier Briceño, César Hervás-Martínez
2017 — conf
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
IWANN (2)
María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez
2017 Misc conf
Ordinal Class Imbalance with Ranking.
IbPRIA
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2016 — conf
Adapting linear discriminant analysis to the paradigm of learning from label proportions.
SSCI
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
2016 Misc conf
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis.
HAIS
Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016 Misc conf
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being.
HAIS
María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2016 — conf
Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis.
CAEPIA
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
2016 — conf
Machine learning paradigms for weed mapping via unmanned aerial vehicles.
SSCI
María Pérez-Ortiz, Pedro Antonio Gutiérrez, José M. Peña, Jorge Torres-Sánchez, Francisca López-Granados, César Hervás-Martínez
2016 Misc conf
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem.
HAIS
Manuel Dorado-Moreno, María Pérez-Ortiz, María Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, César Hervás-Martínez
2016 J jnl
Ordinal Regression Methods: Survey and Experimental Study.
IEEE Trans. Knowl. Data Eng.
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez
2016 J jnl
Oversampling the Minority Class in the Feature Space.
IEEE Trans. Neural Networks Learn. Syst.
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez
2016 B conf
Representing ordinal input variables in the context of ordinal classification.
IJCNN
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez
2016 J jnl
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery.
Expert Syst. Appl.
María Pérez-Ortiz, José Manuel Peñá-Barragán, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados
2016 B conf
Tackling the ordinal and imbalance nature of a melanoma image classification problem.
IJCNN
María Pérez-Ortiz, Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
2015 — conf
An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis.
IWANN (1)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados
2015 — conf
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model.
IWANN (2)
Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez
2015 J jnl
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression.
IEEE Trans. Knowl. Data Eng.
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao
2015 J jnl
Kernelising the Proportional Odds Model through kernel learning techniques.
Neurocomputing
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
2014 — conf
Incorporating Privileged Information to Improve Manifold Ordinal Regression.
IJCCI (NCTA)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014 — conf
Learning Kernel Label Decompositions for Ordinal Classification Problems.
IJCCI (NCTA)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2014 J jnl
Projection-Based Ensemble Learning for Ordinal Regression.
IEEE Trans. Cybern.
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2013 — conf
An n-Spheres Based Synthetic Data Generator for Supervised Classification.
IWANN (1)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez
2013 Misc conf
Borderline Kernel Based Over-Sampling.
HAIS
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2013 — conf
Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?
IWANN (2)
María Pérez-Ortiz, Rosa Colmenarejo, Juan Carlos Fernández Caballero, César Hervás-Martínez
2013 — conf
Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping.
IWANN (1)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
2013 J jnl
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem.
Soft Comput.
Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Briceño, Manuel de la Mata
2013 B conf
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment.
ESANN
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
2013 B conf
Synthetic over-sampling in the empirical feature space.
ESANN
María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez