133 citations · 234 across the 9 of their papers we have counts for
11 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…
Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language
Yago Fontenla-Seco, Alberto Bugarín-Diz, Manuel Lama
In this paper we present the Process-To-Text (P2T) framework for the automatic generation of textual descriptive explanations of processes. P2T integrates three AI paradigms: proce…
Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language
Yago Fontenla-Seco, Alberto Bugarín-Diz, Manuel Lama
In this paper, we propose a series of fuzzy temporal protoforms in the framework of the automatic generation of quantitative and qualitative natural language descriptions of proces…
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…
Mining Frequent Patterns in Process Models
David Chapela-Campa, Manuel Mucientes, Manuel Lama
Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance r…
Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition
Pablo Rodriguez-Mier, Manuel Mucientes, Manuel Lama
In this paper we present a hybrid approach for automatic composition of Web services that generates semantic input-output based compositions with optimal end-to-end QoS, minimizing…
An Integrated Semantic Web Service Discovery and Composition Framework
Pablo Rodriguez-Mier, Carlos Pedrinaci, Manuel Lama +1
In this paper we present a theoretical analysis of graph-based service composition in terms of its dependency with service discovery. Driven by this analysis we define a compositio…