34 citations · 63 across the 11 of their papers we have counts for
12 papers
Benchmarking graph-based models for in-silico toxicity prediction in drug discovery
Noel Suarez-Barro, Manuel Lama, Juan C. Vidal
Drug discovery is a costly and high-risk process, where toxicity-related failures remain a major cause of attrition in both preclinical and clinical stages. As a result, accurate e…
Improving Cardiac Risk Prediction Using Data Generation Techniques
Alexandre Cabodevila, Pedro Gamallo-Fernandez, Juan C. Vidal +1
Cardiac rehabilitation constitutes a structured clinical process involving multiple interdependent phases, individualized medical decisions, and the coordinated participation of di…
Prompting LLMs with content plans to enhance the summarization of scientific articles
Aldan Creo, Manuel Lama, Juan C. Vidal
This paper presents novel prompting techniques to improve the performance of automatic summarization systems for scientific articles. Scientific article summarization is highly cha…
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Efrén Rama-Maneiro, Pablo Monteagudo-Lago, Juan C. Vidal +1
Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges is forecasting the sequence of a…
Gradual Drift Detection in Process Models Using Conformance Metrics
Victor Gallego-Fontenla, Juan C. Vidal, Manuel Lama
Changes, planned or unexpected, are common during the execution of real-life processes. Detecting these changes is a must for optimizing the performance of organizations running su…
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
Efrén Rama-Maneiro, Juan C. Vidal, Manuel Lama
Predictive monitoring of business processes is a subfield of process mining that aims to predict, among other things, the characteristics of the next event or the sequence of next…
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
Efrén Rama-Maneiro, Juan C. Vidal, Manuel Lama
Predictive monitoring of business processes is concerned with the prediction of ongoing cases on a business process. Lately, the popularity of deep learning techniques has propitia…
A Conformance Checking-based Approach for Drift Detection in Business Processes
Víctor Gallego-Fontenla, Juan C. Vidal, Manuel Lama
Real life business processes change over time, in both planned and unexpected ways. The detection of these changes is crucial for organizations to ensure that the expected and the…
The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations
Félix Díaz-Hermida, Marcos Matabuena, Juan C. Vidal
The fuzzy quantification model FA has been identified as one of the best behaved quantification models in several revisions of the field of fuzzy quantification. This model is, to…
Fuzzy quantification for linguistic data analysis and data mining
F. Díaz-Hermida, Juan. C. Vidal
Fuzzy quantification is a subtopic of fuzzy logic which deals with the modelling of the quantified expressions we can find in natural language. Fuzzy quantifiers have been successf…
Characterizing Quantifier Fuzzification Mechanisms: a behavioral guide for practical applications
F. Diaz-Hermida, M. Pereira-Fariña, Juan C. Vidal +1
Important advances have been made in the fuzzy quantification field. Nevertheless, some problems remain when we face the decision of selecting the most convenient model for a speci…
A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers
M. Pereira-Fariña, Juan C. Vidal, F. Díaz-Hermida +1
In this paper, a new approximate syllogistic reasoning schema is described that expands some of the approaches expounded in the literature into two ways: (i) a number of different…