Belief Combination by means of Frame Transformations. - Sergio A. Alvarez (AI&M, 2000)

Introduction to Part IV: Data Mining and Web-Knowledge Management. - Sergio A. Alvarez; Carolina Ruiz; Virginia Dignum (INAP (LNCS Volume), 2001)

Efficient Adaptive-Support Association Rule Mining for Recommender Systems. - Weiyang Lin; Sergio A. Alvarez; Carolina Ruiz (Data Min. Knowl. Discov., 2002)

A Theory of Frame Transformations for Belief Combination. - Sergio A. Alvarez (Ann. Math. Artif. Intell., 2004)

Mining Associations over Human Sleep Time Series. - Parameshvyas Laxminarayan; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (CBMS, 2005)

Mining Statistically Significant Associations for Exploratory Analysis of Human Sleep Data. - Parameshvyas Laxminarayan; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (IEEE Trans. Inf. Technol. Biomed., 2006)

Knowledge Discovery in Clinical Performance of Cancer Patients. - John Hayward 002; Sergio A. Alvarez; Carolina Ruiz; Mary Sullivan; Jennifer Tseng; Giles Whalen (BIBM, 2008)

Model Selection Meta-learning for the Prognosis of Pancreatic Cancer. - Stuart Floyd; Carolina Ruiz; Sergio A. Alvarez; Jennifer Tseng; Giles Whalen (HEALTHINF, 2010)

Prediction of Pancreatic Cancer Survival through Automated Selection of Predictive Models. - Stuart Floyd; Carolina Ruiz; Sergio A. Alvarez; Jennifer Tseng; Giles Whalen (BIOSTEC (Selected Papers), 2010)

Discovery of sleep composition types using expectation-maximization. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (CBMS, 2010)

Machine learning of clinical performance in a pancreatic cancer database. - John Hayward 002; Sergio A. Alvarez; Carolina Ruiz; Mary Sullivan; Jennifer Tseng; Giles Whalen (Artif. Intell. Medicine, 2010)

EEG and ECG Characteristics of Human Sleep Composition Types. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (HEALTHINF, 2011)

Similarity Grouping of Human Sleep Recordings Using EEG and ECG. - Amro Khasawneh; Sergio A. Alvarez; Carolina Ruiz; Shivin Misra; Majaz Moonis (BIOSTEC (Selected Papers), 2011)

Neural expert networks for faster combined collaborative and content-based recommendation. - Sergio A. Alvarez; Carolina Ruiz; Takeshi Kawato; Wendy Kogel (J. Comput. Methods Sci. Eng., 2011)

Machine Learning of Human Sleep Patterns based on Stage Bout Durations. - Francis W. Usher; Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (HEALTHINF, 2012)

Clustering of Human Sleep Recordings Using a Quantile Representation of Stage Bout Durations. - Chiying Wang; Francis W. Usher; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSTEC (Selected Papers), 2012)

Collective Probabilistic Dynamical Modeling of Sleep Stage Transitions. - Sergio A. Alvarez; Carolina Ruiz (BIOSIGNALS, 2013)

Computational Modeling of Sleep Stage Dynamics using Weibull Semi-Markov Chains. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (HEALTHINF, 2013)

Semi-Markov Modeling-Clustering of Human Sleep with Efficient Initialization and Stopping. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSIGNALS, 2014)

Model-based Clustering of Ischemic Stroke Patients. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Nazish Riaz; Majaz Moonis (HEALTHINF, 2015)

Deviation-based Dynamic Time Warping for Clustering Human Sleep. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSIGNALS, 2016)

Modeling and Clustering of Human Sleep Time Series Using Dynamic Time Warping: Sequential and Distributed Implementations. - Chiying Wang; Sergio A. Alvarez; Carolina Ruiz; Majaz Moonis (BIOSTEC (Selected Papers), 2016)

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (HEALTHINF, 2017)

Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez; Majaz Moonis (BIOSTEC (Selected Papers), 2017)

Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. - Ahmedul Kabir; Carolina Ruiz; Sergio A. Alvarez (ICDM, 2018)

Improved Deep Learning Classification of Human Sleep Stages. - Sarun Paisarnsrisomsuk; Carolina Ruiz; Sergio A. Alvarez (CBMS, 2020)

Deep Learning for Automated Feature Discovery and Classification of Sleep Stages. - Michael Sokolovsky; Francisco Guerrero; Sarun Paisarnsrisomsuk; Carolina Ruiz; Sergio A. Alvarez (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Capturing the Development of Internal Representations in a High-Performing Deep Network for Sleep Stage Classification. - Sarun Paisarnsrisomsuk; Carolina Ruiz; Sergio A. Alvarez (SN Comput. Sci., 2021)

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

Machine Learning Prediction of Heart Health Status from Mobile PPG Sensor Data. - Sergio A. Alvarez; Corrine Y. Jurgens; Yik Ki Lam; Easton Cummins; Jacqueline C. Massaro; Charounipha Soydara; Christopher S. Lee; Marvin A. Konstam (CBMS, 2025)

Self-Supervised Learning of Band-Limited Spectral Features from Sleep EEG Using Variational Autoencoders. - Akshit Soota; Isaac Zhao; Carolina Ruiz; Sergio A. Alvarez (CBMS, 2025)