Sergio A. Alvarez

Orcid: 0000-0001-5550-1492

According to our database1, Sergio A. Alvarez authored at least 29 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Gaussian RBF Centered Kernel Alignment (CKA) in the Large-Bandwidth Limit.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

2021
Capturing the Development of Internal Representations in a High-Performing Deep Network for Sleep Stage Classification.
SN Comput. Sci., 2021

2020
Deep Learning for Automated Feature Discovery and Classification of Sleep Stages.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Improved Deep Learning Classification of Human Sleep Stages.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2018
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations.
Proceedings of the Biomedical Engineering Systems and Technologies, 2016

Deviation-based Dynamic Time Warping for Clustering Human Sleep.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Model-based Clustering of Ischemic Stroke Patients.
Proceedings of the HEALTHINF 2015, 2015

2014
Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping.
Proceedings of the BIOSIGNALS 2014, 2014

2013
Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains.
Proceedings of the HEALTHINF 2013, 2013

Collective Probabilistic Dynamical Modeling of Sleep Stage Transitions.
Proceedings of the BIOSIGNALS 2013, 2013

2012
Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations.
Proceedings of the Biomedical Engineering Systems and Technologies, 2012

Machine Learning of Human Sleep Patterns based on Stage Bout Durations.
Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012

2011
Neural expert networks for faster combined collaborative and content-based recommendation.
J. Comput. Methods Sci. Eng., 2011

Similarity Grouping of Human Sleep Recordings Using EEG and ECG.
Proceedings of the Biomedical Engineering Systems and Technologies, 2011

EEG and ECG Characteristics of Human Sleep Composition Types.
Proceedings of the HEALTHINF 2011, 2011

2010
Machine learning of clinical performance in a pancreatic cancer database.
Artif. Intell. Medicine, 2010

Discovery of sleep composition types using expectation-maximization.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Prediction of Pancreatic Cancer Survival through Automated Selection of Predictive Models.
Proceedings of the Biomedical Engineering Systems and Technologies, 2010

Model Selection Meta-learning for the Prognosis of Pancreatic Cancer.
Proceedings of the HEALTHINF 2010, 2010

2008
Knowledge Discovery in Clinical Performance of Cancer Patients.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2006
Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data.
IEEE Trans. Inf. Technol. Biomed., 2006

2005
Mining Associations over Human Sleep Time Series.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
A Theory of Frame Transformations for Belief Combination.
Ann. Math. Artif. Intell., 2004

2002
Efficient Adaptive-Support Association Rule Mining for Recommender Systems.
Data Min. Knowl. Discov., 2002

2001
Introduction to Part IV: Data Mining and Web-Knowledge Management.
Proceedings of the Web Knowledge Management and Decision Support, 2001

2000
Belief Combination by means of Frame Transformations.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2000


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