María Pérez-Ortiz

Orcid: 0000-0003-1302-6093

Affiliations:
  • University College London, AI Centre, United Kingdom


According to our database1, María Pérez-Ortiz authored at least 94 papers between 2011 and 2024.

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Bibliography

2024
Transfer and zero-shot learning for scalable weed detection and classification in UAV images.
Knowl. Based Syst., 2024

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
CoRR, 2024

Crafting desirable climate trajectories with RL explored socio-environmental simulations.
CoRR, 2024

Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games.
CoRR, 2024

The Effect of Model Size on LLM Post-hoc Explainability via LIME.
CoRR, 2024

Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation.
CoRR, 2024

An Analysis of Stopping Strategies in Conversational Search Systems.
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

A Toolbox for Modelling Engagement with Educational Videos.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models.
CoRR, 2023

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality.
IEEE Trans. Multim., 2022

Comparing the carbon costs and benefits of low-resource solar nowcasting.
CoRR, 2022

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021
Tighter Risk Certificates for Neural Networks.
J. Mach. Learn. Res., 2021

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems.
CoRR, 2021

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution.
CoRR, 2021

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All.
CoRR, 2021

Progress in Self-Certified Neural Networks.
CoRR, 2021

Learning PAC-Bayes Priors for Probabilistic Neural Networks.
CoRR, 2021

PEEK: A Large Dataset of Learner Engagement with Educational Videos.
CoRR, 2021

X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

2020
From Pairwise Comparisons and Rating to a Unified Quality Scale.
IEEE Trans. Image Process., 2020

Report on the WSDM 2020 workshop on state-based user modelling (SUM'20).
SIGIR Forum, 2020

A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings.
CoRR, 2020

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement.
CoRR, 2020

SUM'20: State-based User Modelling.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Contrast Sensitivity Functions for HDR Displays.
Proceedings of the London Imaging Meeting 2020: Future Colour Imaging (LIM 2020), 30 September, 2020

What's in it for me?: Augmenting Recommended Learning Resources with Navigable Annotations.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predicting Engagement in Video Lectures.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
ORCA: A Matlab/Octave Toolbox for Ordinal Regression.
J. Mach. Learn. Res., 2019

On the use of evolutionary time series analysis for segmenting paleoclimate data.
Neurocomputing, 2019

Towards an Integrative Educational Recommender for Lifelong Learners.
CoRR, 2019

Visibility Metric for Visually Lossless Image Compression.
Proceedings of the Picture Coding Symposium, 2019

Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Binary ranking for ordinal class imbalance.
Pattern Anal. Appl., 2018

Partial order label decomposition approaches for melanoma diagnosis.
Appl. Soft Comput., 2018

Psychometric scaling of TID2013 dataset.
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

A mixture of experts model for predicting persistent weather patterns.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Trained Perceptual Transform for Quality Assessment of High Dynamic Range Images and Video.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation.
Knowl. Based Syst., 2017

A practical guide and software for analysing pairwise comparison experiments.
CoRR, 2017

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.
Artif. Intell. Medicine, 2017

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2017

An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning.
Proceedings of the Advances in Computational Intelligence, 2017

Class Switching Ensembles for Ordinal Regression.
Proceedings of the Advances in Computational Intelligence, 2017

Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2017

Ordinal Class Imbalance with Ranking.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Oversampling the Minority Class in the Feature Space.
IEEE Trans. Neural Networks Learn. Syst., 2016

Ordinal Regression Methods: Survey and Experimental Study.
IEEE Trans. Knowl. Data Eng., 2016

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment.
Neural Process. Lett., 2016

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes.
Neural Process. Lett., 2016

Semi-supervised learning for ordinal Kernel Discriminant Analysis.
Neural Networks, 2016

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery.
Expert Syst. Appl., 2016

Adapting linear discriminant analysis to the paradigm of learning from label proportions.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Machine learning paradigms for weed mapping via unmanned aerial vehicles.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Tackling the ordinal and imbalance nature of a melanoma image classification problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Representing ordinal input variables in the context of ordinal classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2015

Kernelising the Proportional Odds Model through kernel learning techniques.
Neurocomputing, 2015

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method.
Appl. Soft Comput., 2015

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis.
Proceedings of the Advances in Computational Intelligence, 2015

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Projection-Based Ensemble Learning for Ordinal Regression.
IEEE Trans. Cybern., 2014

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques.
Knowl. Based Syst., 2014

An evolutionary neural system for incorporating expert knowledge into the UA-FLP.
Neurocomputing, 2014

An organ allocation system for liver transplantation based on ordinal regression.
Appl. Soft Comput., 2014

Learning Kernel Label Decompositions for Ordinal Classification Problems.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Incorporating Privileged Information to Improve Manifold Ordinal Regression.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem.
Soft Comput., 2013

An n-Spheres Based Synthetic Data Generator for Supervised Classification.
Proceedings of the Advances in Computational Intelligence, 2013

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping.
Proceedings of the Advances in Computational Intelligence, 2013

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?
Proceedings of the Advances in Computational Intelligence, 2013

Borderline Kernel Based Over-Sampling.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Synthetic over-sampling in the empirical feature space.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
An Ordinal Regression Approach for the Unequal Area Facility Layout Problem.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

A System Learning User Preferences for Multiobjective Optimization of Facility Layouts.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

An ensemble approach for ordinal threshold models applied to liver transplantation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hybrid Multi-objective Machine Learning Classification in Liver Transplantation.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

An Experimental Study of Different Ordinal Regression Methods and Measures.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Ordinal classification of depression spatial hot-spots of prevalence.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011


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