Ordinal classification of depression spatial hot-spots of prevalence. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Carlos R. García-Alonso; Luis Salvador-Carulla; Jose Alberto Salinas-Perez; César Hervás-Martínez (ISDA, 2011)

An Experimental Study of Different Ordinal Regression Methods and Measures. - Pedro Antonio Gutiérrez; M. Pérez-Ortiz 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS (2), 2012)

Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. - M. Pérez-Ortiz 001; Manuel Cruz-Ramírez; Juan Carlos Fernández Caballero; César Hervás-Martínez (HAIS (1), 2012)

An ensemble approach for ordinal threshold models applied to liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez; Javier Briceño; Manuel de la Mata (IJCNN, 2012)

A System Learning User Preferences for Multiobjective Optimization of Facility Layouts. - M. Pérez-Ortiz 001; Antonio Arauzo-Azofra; César Hervás-Martínez; Laura García-Hernández; Lorenzo Salas-Morera (SOCO, 2012)

An Ordinal Regression Approach for the Unequal Area Facility Layout Problem. - M. Pérez-Ortiz 001; Laura García-Hernández; Lorenzo Salas-Morera; Antonio Arauzo-Azofra; César Hervás-Martínez (SOCO, 2012)

Synthetic over-sampling in the empirical feature space. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (ESANN, 2013)

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (ESANN, 2013)

Borderline Kernel Based Over-Sampling. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2013)

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy? - María Pérez-Ortiz 001; Rosa Colmenarejo; Juan Carlos Fernández Caballero; César Hervás-Martínez (IWANN (2), 2013)

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (IWANN (1), 2013)

An n-Spheres Based Synthetic Data Generator for Supervised Classification. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; César Hervás-Martínez (IWANN (1), 2013)

Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. - Manuel Cruz-Ramírez; César Hervás-Martínez; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Briceño; Manuel de la Mata (Soft Comput., 2013)

Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index. - Manuel Cruz-Ramírez; Monica-de la Paz-Marin; M. Pérez-Ortiz 001; César Hervás-Martínez (HAIS, 2014)

Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2014)

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Athanasia Nikolaou; Isabelle Dicaire; Francisco Fernández-Navarro (HAIS, 2014)

Incorporating Privileged Information to Improve Manifold Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCCI (NCTA), 2014)

Learning Kernel Label Decompositions for Ordinal Classification Problems. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCCI (NCTA), 2014)

An organ allocation system for liver transplantation based on ordinal regression. - M. Pérez-Ortiz 001; Manuel Cruz-Ramírez; María Dolores Ayllón-Terán; N. Heaton; Rubén Ciria; César Hervás-Martínez (Appl. Soft Comput., 2014)

An evolutionary neural system for incorporating expert knowledge into the UA-FLP. - Laura García-Hernández; M. Pérez-Ortiz 001; Antonio Arauzo-Azofra; Lorenzo Salas-Morera; César Hervás-Martínez (Neurocomputing, 2014)

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques. - M. Pérez-Ortiz 001; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (Knowl. Based Syst., 2014)

Projection-Based Ensemble Learning for Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IEEE Trans. Cybern., 2014)

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. - Pedro Antonio Gutiérrez; Juan Carlos Fernández 001; María Pérez-Ortiz 001; Laura Cornejo-Bueno; Enrique Alexandre-Cortizo; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (2), 2015)

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; José Manuel Peñá-Barragán; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (IWANN (1), 2015)

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. - M. Pérez-Ortiz 001; José Manuel Peñá-Barragán; Pedro Antonio Gutiérrez; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (Appl. Soft Comput., 2015)

Kernelising the Proportional Odds Model through kernel learning techniques. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (Neurocomputing, 2015)

Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2015)

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (CAEPIA, 2016)

Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem. - Manuel Dorado-Moreno; María Pérez-Ortiz 001; María Dolores Ayllón-Terán; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2016)

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. - María Pérez-Ortiz 001; Mercedes Torres-Jiménez; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS, 2016)

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. - Javier Sánchez-Monedero; Aurora Sáez; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2016)

Representing ordinal input variables in the context of ordinal classification. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; César Hervás-Martínez (IJCNN, 2016)

Tackling the ordinal and imbalance nature of a melanoma image classification problem. - María Pérez-Ortiz 001; Aurora Sáez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCNN, 2016)

Machine learning paradigms for weed mapping via unmanned aerial vehicles. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; José M. Peña 003; Jorge Torres-Sánchez; Francisca López-Granados; César Hervás-Martínez (SSCI, 2016)

Adapting linear discriminant analysis to the paradigm of learning from label proportions. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (SSCI, 2016)

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery. - María Pérez-Ortiz 001; José Manuel Peñá-Barragán; Pedro Antonio Gutiérrez; Jorge Torres-Sánchez; César Hervás-Martínez; Francisca López-Granados (Expert Syst. Appl., 2016)

Semi-supervised learning for ordinal Kernel Discriminant Analysis. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Mariano Carbonero-Ruz; César Hervás-Martínez (Neural Networks, 2016)

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. - M. Pérez-Ortiz 001; Manuel Fernández Delgado; Eva Cernadas; R. Domínguez-Petit; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2016)

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (Neural Process. Lett., 2016)

Ordinal Regression Methods: Survey and Experimental Study. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez (IEEE Trans. Knowl. Data Eng., 2016)

Oversampling the Minority Class in the Feature Space. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Peter Tiño; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2016)

Ordinal Class Imbalance with Ranking. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IbPRIA, 2017)

Combining Ranking with Traditional Methods for Ordinal Class Imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IWANN (2), 2017)

Class Switching Ensembles for Ordinal Regression. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Alberto Suárez 001 (IWANN (1), 2017)

An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning. - Francisco Javier Maestre-García; Carlos García-Martínez; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez (IWANN (2), 2017)

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. - María Pérez-Ortiz 001; Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Javier Briceño; César Hervás-Martínez (IWANN (2), 2017)

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. - Manuel Dorado-Moreno; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Artif. Intell. Medicine, 2017)

A practical guide and software for analysing pairwise comparison experiments. - María Pérez-Ortiz 001; Rafal K. Mantiuk (CoRR, 2017)

Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; María Dolores Ayllón-Terán; N. Heaton; Rubén Ciria; Javier Briceño; César Hervás-Martínez (Knowl. Based Syst., 2017)

Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video. - Nanyang Ye 001; María Pérez-Ortiz 001; Rafal K. Mantiuk (ICIP, 2018)

A mixture of experts model for predicting persistent weather patterns. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Peter Tiño; Carlos Casanova-Mateo; Sancho Salcedo-Sanz (IJCNN, 2018)

Psychometric scaling of TID2013 dataset. - Aliaksei Mikhailiuk; María Pérez-Ortiz 001; Rafal Mantiuk (QoMEX, 2018)

Partial order label decomposition approaches for melanoma diagnosis. - Javier Sánchez-Monedero; María Pérez-Ortiz 001; Aurora Sáez; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Soft Comput., 2018)

Binary ranking for ordinal class imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (Pattern Anal. Appl., 2018)

Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. - María Pérez-Ortiz 001; Peter Tiño; Rafal Mantiuk; César Hervás-Martínez (AAAI, 2019)

Visibility Metric for Visually Lossless Image Compression. - Nanyang Ye 001; María Pérez-Ortiz 001; Rafal K. Mantiuk (PCS, 2019)

Towards an Integrative Educational Recommender for Lifelong Learners. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2019)

On the use of evolutionary time series analysis for segmenting paleoclimate data. - María Pérez-Ortiz 001; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; Athanasia Nikolaou; Francisco Fernández-Navarro; César Hervás-Martínez (Neurocomputing, 2019)

ORCA: A Matlab/Octave Toolbox for Ordinal Regression. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001 (J. Mach. Learn. Res., 2019)

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (AAAI, 2020)

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (AAAI, 2020)

Predicting Engagement in Video Lectures. - Sahan Bulathwela; María Pérez-Ortiz 001; Aldo Lipani; Emine Yilmaz; John Shawe-Taylor (EDM, 2020)

Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization. - Aliaksei Mikhailiuk; Clifford Wilmot; María Pérez-Ortiz 001; Dingcheng Yue; Rafal K. Mantiuk (ICPR, 2020)

What's in it for me?: Augmenting Recommended Learning Resources with Navigable Annotations. - Sahan Bulathwela; Stefan Kreitmayer; María Pérez-Ortiz 001 (IUI Companion, 2020)

Contrast Sensitivity Functions for HDR Displays. - Minjung Kim; Maliha Ashraf; María Pérez-Ortiz 001; Jasna Martinovic; Sophie M. Wuerger; Rafal K. Mantiuk (LIM, 2020)

SUM'20: State-based User Modelling. - Sahan Bulathwela; María Pérez-Ortiz 001; Rishabh Mehrotra; Davor Orlic; Colin de la Higuera; John Shawe-Taylor; Emine Yilmaz (WSDM, 2020)

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2020)

A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. - Théophile Cantelobre; Benjamin Guedj; María Pérez-Ortiz 001; John Shawe-Taylor (CoRR, 2020)

Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). - Sahan Bulathwela; María Pérez-Ortiz 001; Rishabh Mehrotra; Davor Orlic; Colin de la Higuera; John Shawe-Taylor; Emine Yilmaz (SIGIR Forum, 2020)

From Pairwise Comparisons and Rating to a Unified Quality Scale. - María Pérez-Ortiz 001; Aliaksei Mikhailiuk; Emin Zerman; Vedad Hulusic; Giuseppe Valenzise; Rafal K. Mantiuk (IEEE Trans. Image Process., 2020)

X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. - María Pérez-Ortiz 001; Claire Dormann; Yvonne Rogers; Sahan Bulathwela; Stefan Kreitmayer; Emine Yilmaz; Richard Noss; John Shawe-Taylor (IUI Companion, 2021)

PEEK: A Large Dataset of Learner Engagement with Educational Videos. - Sahan Bulathwela; María Pérez-Ortiz 001; Erik Novak; Emine Yilmaz; John Shawe-Taylor (CoRR, 2021)

Learning PAC-Bayes Priors for Probabilistic Neural Networks. - María Pérez-Ortiz 001; Omar Rivasplata; Benjamin Guedj; Matthew Gleeson; Jingyu Zhang; John Shawe-Taylor; Miroslaw Bober; Josef Kittler (CoRR, 2021)

Progress in Self-Certified Neural Networks. - María Pérez-Ortiz 001; Omar Rivasplata; Emilio Parrado-Hernández; Benjamin Guedj; John Shawe-Taylor (CoRR, 2021)

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All. - María Pérez-Ortiz 001; Erik Novak; Sahan Bulathwela; John Shawe-Taylor (CoRR, 2021)

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution. - Sahan Bulathwela; María Pérez-Ortiz 001; Catherine Holloway; John Shawe-Taylor (CoRR, 2021)

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. - Sahan Bulathwela; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (CoRR, 2021)

Tighter Risk Certificates for Neural Networks. - María Pérez-Ortiz 001; Omar Rivasplata; John Shawe-Taylor; Csaba Szepesvári (J. Mach. Learn. Res., 2021)

Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? - María Pérez-Ortiz 001; Sahan Bulathwela; Claire Dormann; Meghana Verma; Stefan Kreitmayer; Richard Noss; John Shawe-Taylor; Yvonne Rogers; Emine Yilmaz (CHIIR, 2022)

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. - Sahan Bulathwela; Meghana Verma; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor (EDM, 2022)

Comparing the carbon costs and benefits of low-resource solar nowcasting. - Ben Dixon; María Pérez-Ortiz 001; Jacob Bieker (CoRR, 2022)

Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality. - Aliaksei Mikhailiuk; María Pérez-Ortiz 001; Dingcheng Yue; Wilson Suen; Rafal K. Mantiuk (IEEE Trans. Multim., 2022)

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. - Yuxiang Qiu; Karim Djemili; Denis Elezi; Aaneel Shalman; María Pérez-Ortiz 001; Sahan Bulathwela (ORSUM@RecSys, 2023)

Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models. - Theodore Wolf; Nantas Nardelli; John Shawe-Taylor; María Pérez-Ortiz 001 (CoRR, 2023)

A Toolbox for Modelling Engagement with Educational Videos. - Yuxiang Qiu; Karim Djemili; Denis Elezi; Aaneel Shalman Srazali; María Pérez-Ortiz 001; Emine Yilmaz; John Shawe-Taylor; Sahan Bulathwela (AAAI, 2024)

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models. - Noah Y. Siegel; Oana-Maria Camburu; Nicolas Heess; María Pérez-Ortiz 001 (ACL (Short Papers), 2024)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. - Ze Wang; Zekun Wu 003; Xin Guan; Michael Thaler; Adriano S. Koshiyama; Skylar Lu; Sachin Beepath; Ediz Ertekin Jr.; María Pérez-Ortiz 001 (EMNLP (Findings), 2024)

An Analysis of Stopping Strategies in Conversational Search Systems. - Xiao Fu 007; María Pérez-Ortiz 001; Aldo Lipani (ICTIR, 2024)

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation. - Zekun Wu 003; Sahan Bulathwela; María Pérez-Ortiz 001; Adriano Soares Koshiyama (CoRR, 2024)

The Effect of Model Size on LLM Post-hoc Explainability via LIME. - Henning Heyen; Amy Widdicombe; Noah Y. Siegel; María Pérez-Ortiz 001; Philip C. Treleaven (CoRR, 2024)

Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games. - Nathan Herr; Fernando Acero; Roberta Raileanu; María Pérez-Ortiz 001; Zhibin Li 001 (CoRR, 2024)

Crafting desirable climate trajectories with RL explored socio-environmental simulations. - James Rudd-Jones; Fiona Thendean; María Pérez-Ortiz 001 (CoRR, 2024)

Transfer and zero-shot learning for scalable weed detection and classification in UAV images. - Nicolas Belissent; José M. Peña 003; Gustavo A. Mesías-Ruiz; John Shawe-Taylor; María Pérez-Ortiz 001 (Knowl. Based Syst., 2024)

Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis. - James Rudd-Jones; Mirco Musolesi; María Pérez-Ortiz 001 (AAMAS, 2025)

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making? - Kenza Benkirane; Jackie Kay; María Pérez-Ortiz 001 (NAACL (Long Papers), 2025)

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models. - Sahan Bulathwela; Daniel van Niekerk; Jarrod Shipton; María Pérez-Ortiz 001; Benjamin Rosman; John Shawe-Taylor (CoRR, 2025)

AI Will Always Love You: Studying Implicit Biases in Romantic AI Companions. - Clare Grogan; Jackie Kay; María Pérez-Ortiz 001 (CoRR, 2025)

Faithfulness of LLM Self-Explanations for Commonsense Tasks: Larger Is Better, and Instruction-Tuning Allows Trade-Offs but Not Pareto Dominance. - Noah Y. Siegel; Nicolas Heess; María Pérez-Ortiz 001; Oana-Maria Camburu (CoRR, 2025)

Do machine learning climate models work in changing climate dynamics? - Maria Conchita Agana Navarro; Geng Li; Theodore Wolf; María Pérez-Ortiz 001 (CoRR, 2025)