Yudivián Almeida-Cruz
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View article: Bias mitigation for fair automation of classification tasks
Bias mitigation for fair automation of classification tasks Open
The incorporation of machine learning algorithms into high‐risk decision‐making tasks has raised some alarms in the scientific community. Research shows that machine learning‐based technologies can contain biases that cause unfair decision…
View article: Improving trajectory classification through Kramers–Moyal coefficients
Improving trajectory classification through Kramers–Moyal coefficients Open
Trajectory classification focuses on predicting the class or category of a moving object based on its observed movement over time. The classification of trajectory data using classical approaches can be challenging due to the arbitrary and…
View article: pactus: A Python framework for trajectoryclassification
pactus: A Python framework for trajectoryclassification Open
Trajectory classification concerns the forecasting of the class or category of a mobile entity based on its observed motion over time.It is a problem that has been studied in many different fields, including robotics, behavior analysis, mo…
View article: Equity and the Cuban National Health System's response to COVID-19
Equity and the Cuban National Health System's response to COVID-19 Open
Cuba’s National Health System has managed to guarantee an effective and equitable response to COVID-19. Universal and free health coverage, based on primary care, follows the principle of equity and the greatest resources are allocated to …
View article: Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce
Reassembling Public Data in Cuba: Collaborations When Information Is Missing, Outdated or Scarce Open
How a small data journalism team in Cuba fights against the lack of data.
View article: The Data Journalism Handbook
The Data Journalism Handbook Open
The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how d…
View article: Active Learning for Assisted Corpus Construction: A Case Study in Knowledge Discovery from Biomedical Text
Active Learning for Assisted Corpus Construction: A Case Study in Knowledge Discovery from Biomedical Text Open
This paper presents an active learning approach that aims to reduce the human effort required during the annotation of natural language corpora composed of entities and semantic relations.Our approach assists human annotators by intelligen…
View article: Knowledge Discovery in COVID-19 Research Literature
Knowledge Discovery in COVID-19 Research Literature Open
This paper presents the preliminary results of an ongoing project that analyzes the growing body of scientific research published around the COVID-19 pandemic. In this research, a general-purpose semantic model is used to double annotate a…
View article: Overlapping Community Detection on a Graph of Chemicals, Diseases and Genes for Drug Repositioning and Adverse Reactions Prediction
Overlapping Community Detection on a Graph of Chemicals, Diseases and Genes for Drug Repositioning and Adverse Reactions Prediction Open
Developing a drug from scratch is a very long and expensive process that has a small probability of success. For this reason, pharmaceutical companies are devoting their efforts to find drugs that could be repositioned. When using a drug t…
View article: eHealth-KD v2
eHealth-KD v2 Open
The eHealth-KD v2 Corpus is a set of 1,050 sentences in Spanish language from the biomedical domain, annotated with a general-purpose entity and relation model that covers broad sentence-level semantics.
View article: eHealth-KD v2
eHealth-KD v2 Open
The eHealth-KD v2 Corpus is a set of 1,050 sentences in Spanish language from the biomedical domain, annotated with a general-purpose entity and relation model that covers broad sentence-level semantics.
View article: Knowledge Discovery in COVID-19 Research Literature
Knowledge Discovery in COVID-19 Research Literature Open
Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. 2020.
View article: Demo Application for the AutoGOAL Framework
Demo Application for the AutoGOAL Framework Open
Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yoan Gutiérrez, Andres Montoyo, Rafael Muñoz-Guillena, Yudivián Almeida Cruz. Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations. 2020.
View article: Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing
Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing Open
This paper presents AutoGOAL, a system for automatic machine learning (AutoML) that uses heterogeneous techniques. In contrast with existing AutoML approaches, our contribution can automatically build machine learning pipelines that combin…
View article: Demo Application for LETO: Learning Engine Through Ontologies
Demo Application for LETO: Learning Engine Through Ontologies Open
The massive amount of multi-formatted information available on the Web necessitates the design of software systems that leverage this information to obtain knowledge that is valid and useful.The main challenge is to discover relevant infor…
View article: A Neural Network Component for Knowledge-Based Semantic Representations of Text
A Neural Network Component for Knowledge-Based Semantic Representations of Text Open
This paper presents Semantic Neural Networks (SNNs), a knowledge-aware component based on deep learning.SNNs can be trained to encode explicit semantic knowledge from an arbitrary knowledge base, and can subsequently be combined with other…
View article: Analysis of eHealth knowledge discovery systems in the TASS 2018 Workshop
Analysis of eHealth knowledge discovery systems in the TASS 2018 Workshop Open
This paper presents an analysis of Task 3 eHealth-KD challenge in the TASS 2018Workshop. The challenge consisted of the extraction of concepts, actions, and their corresponding semantic relations from health-related documents written in th…
View article: Overlapping Community Detection on a Graph of Chemicals, Diseases and Genes for Drug Repositioning and Adverse Reactions Prediction
Overlapping Community Detection on a Graph of Chemicals, Diseases and Genes for Drug Repositioning and Adverse Reactions Prediction Open
Developing a drug from scratch is a very long and expensive process that has a small probability of success. For this reason, pharmaceutical companies are devoting their efforts to find drugs that could be repositioned. When using a drug t…
View article: Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019.
Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019. Open
This paper summarises the results of the third edition of the eHealth Knowledge Discovery (KD) challenge, hosted at the Iberian Language Evaluation Forum 2020. The eHealth-KD challenge proposes two computational tasks involving the identif…
View article: AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text Open
The process of extracting knowledge from natural language text poses a complex problem that requires both a combination of machine learning techniques and proper feature selection. Recent advances in Automatic Machine Learning (AutoML) pro…
View article: Overview of TASS 2018: Opinions, Health and Emotions
Overview of TASS 2018: Opinions, Health and Emotions Open
This is an overview of the Workshop on Semantic Analysis at the SEPLN congress held in Sevilla, Spain, in September 2018. This forum proposes to participants four different semantic tasks on texts written in Spanish. Task 1 focuses on pola…
View article: An autonomous robot for continuous tracking of millimetric-sized walkers
An autonomous robot for continuous tracking of millimetric-sized walkers Open
The precise and continuous tracking of millimetric-sized walkers --such as ants-- is quite important in behavioral studies. However, due to technical limitations, most studies concentrate on trajectories within arenas no more than 100 time…