Maria Perez-Ortiz | DeepAI

AI Chat

Featured Co-authors

Csaba Szepesvari
116 publications
Josef Kittler
77 publications
Benjamin Guedj
52 publications
John Shawe-Taylor
50 publications
Emine Yilmaz
41 publications
Peter Tiňo
19 publications
Miroslaw Bober
17 publications
Aldo Lipani
16 publications
Rafal K. Mantiuk
14 publications
Sahan Bulathwela
14 publications
Omar Rivasplata
12 publications

∙ 09/20/2023

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback

This work describes the TrueLearn Python library, which contains a famil...

0 Yuxiang Qiu, et al. ∙

∙ 10/10/2022

Comparing the carbon costs and benefits of low-resource solar nowcasting

Solar PV yield nowcasting is used to help anticipate peaks and troughs i...

0 Ben Dixon, et al. ∙

∙ 06/22/2022

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments

This work explores how population-based engagement prediction can addres...

0 Sahan Bulathwela, et al. ∙

∙ 01/10/2022

Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?

Prior research has shown how 'content preview tools' improve speed and a...

0 Maria Perez-Ortiz, et al. ∙

∙ 12/08/2021

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems

In informational recommenders, many challenges arise from the need to ha...

10 Sahan Bulathwela, et al. ∙

∙ 12/03/2021

Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

Artificial Intelligence (AI) in Education has been said to have the pote...

3 Sahan Bulathwela, et al. ∙

∙ 11/16/2021

An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All

Artifical Intelligence (AI) in Education has great potential for buildin...

0 Maria Perez-Ortiz, et al. ∙

∙ 11/15/2021

Progress in Self-Certified Neural Networks

A learning method is self-certified if it uses all available data to sim...

23 Maria Perez-Ortiz, et al. ∙

∙ 09/21/2021

Learning PAC-Bayes Priors for Probabilistic Neural Networks

Recent works have investigated deep learning models trained by optimisin...

18 Maria Perez-Ortiz, et al. ∙

∙ 09/03/2021

PEEK: A Large Dataset of Learner Engagement with Educational Videos

Educational recommenders have received much less attention in comparison...

15 Sahan Bulathwela, et al. ∙

∙ 12/19/2020

Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality

Increasing popularity of high-dynamic-range (HDR) image and video conten...

7 Aliaksei Mikhailiuk, et al. ∙

∙ 12/07/2020

A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings

Many practical machine learning tasks can be framed as Structured predic...

9 Théophile Cantelobre, et al. ∙

∙ 11/02/2020

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement

With the emergence of e-learning and personalised education, the product...

7 Sahan Bulathwela, et al. ∙

∙ 07/25/2020

Tighter risk certificates for neural networks

This paper presents empirical studies regarding training probabilistic n...

10 Maria Perez-Ortiz, et al. ∙

∙ 05/31/2020

Predicting Engagement in Video Lectures

The explosion of Open Educational Resources (OERs) in the recent years c...

14 Sahan Bulathwela, et al. ∙

∙ 04/12/2020

Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization

Pairwise comparison data arise in many domains with subjective assessmen...

0 Aliaksei Mikhailiuk, et al. ∙

∙ 12/03/2019

Towards an Integrative Educational Recommender for Lifelong Learners

One of the most ambitious use cases of computer-assisted learning is to ...

7 Sahan Bulathwela, et al. ∙

∙ 11/21/2019

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources

The recent advances in computer-assisted learning systems and the availa...

10 Sahan Bulathwela, et al. ∙

∙ 03/24/2019

Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets

Data augmentation is rapidly gaining attention in machine learning. Synt...

0 Maria Perez-Ortiz, et al. ∙

∙ 03/24/2019

A mixture of experts model for predicting persistent weather patterns

Weather and atmospheric patterns are often persistent. The simplest weat...

0 Maria Perez-Ortiz, et al. ∙

∙ 12/11/2017

A practical guide and software for analysing pairwise comparison experiments

Most popular strategies to capture subjective judgments from humans invo...

0 Maria Perez-Ortiz, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world