On Extended Disjunctive Logic Programs. - Jack Minker; Carolina Ruiz (ISMIS, 1993)

Computing Stable and Partial Stable Models of Extended Disjunctive Logic Programs. - Carolina Ruiz; Jack Minker (NMELP, 1994)

Semantics for Disjunctive Logic Programs with Explicit and Default Negation. - Jack Minker; Carolina Ruiz (Fundam. Informaticae, 1994)

A Characterization of the Partial Stable Models For Disjunctive Databases. - Dietmar Seipel; Jack Minker; Carolina Ruiz (ILPS, 1997)

Combining Closed World Assumptions with Stable Negation. - Carolina Ruiz; Jack Minker (Fundam. Informaticae, 1997)

Model Generation and State Generation for Disjunctive Logic Programs. - Dietmar Seipel; Jack Minker; Carolina Ruiz (J. Log. Program., 1997)

Logic Knowledge Bases With Two Default Rules. - Carolina Ruiz; Jack Minker (Ann. Math. Artif. Intell., 1998)

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)

Association Rule Mining Algorithms for Set-Valued Data. - Christopher A. Shoemaker; Carolina Ruiz (IDEAL, 2003)

Distance-enhanced association rules for gene expression. - Aleksandar Icev; Carolina Ruiz; Elizabeth F. Ryder (BIOKDD, 2003)

FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs. - Maged El-Sayed; Carolina Ruiz; Elke A. Rundensteiner (WIDM, 2004)

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

Learning semantics-preserving distance metrics for clustering graphical data. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; Mohammed Maniruzzaman; Richard D. Sisson Jr. (MDM@KDD, 2005)

Mining Expressive Temporal Associations from Complex Data. - Keith A. Pray; Carolina Ruiz (MLDM, 2005)

Integrating Clustering and Classification for Estimating Process Variables in Materials Science. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; David C. Brown; Mohammed Maniruzzaman; Richard D. Sisson Jr. (AAAI, 2006)

Designing semantics-preserving cluster representatives for scientific input conditions. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; David C. Brown; Mohammed Maniruzzaman; Richard D. Sisson Jr. (CIKM, 2006)

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)

Hypothesis-Driven Specialization of Gene Expression Association Rules. - Dharmesh Thakkar; Carolina Ruiz; Elizabeth F. Ryder (BIBM, 2007)

LearnMet: learning domain-specific distance metrics for plots of scientific functions. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; Mohammed Maniruzzaman; Richard D. Sisson Jr. (Multim. Tools Appl., 2007)

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

The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. - Zachary A. Pardos; Neil T. Heffernan; Carolina Ruiz; Joseph E. Beck (EDM, 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)

Pointwise local pattern exploration for sensitivity analysis. - Zhenyu Guo; Matthew O. Ward; Elke A. Rundensteiner; Carolina Ruiz (IEEE VAST, 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)

Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy. - Yue Gong; Joseph E. Beck; Carolina Ruiz (UMAP, 2012)

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

Mining Association Rules that Incorporate Transcription Factor Binding Sites and Gene Expression Patterns in C. elegans. - Hao Wan 002; Gregory Barrett; Carolina Ruiz; Elizabeth F. Ryder (BIOINFORMATICS, 2013)

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

PARAS: interactive parameter space exploration for association rule mining. - Abhishek Mukherji; Xika Lin; Christopher R. Botaish; Jason Whitehouse; Elke A. Rundensteiner; Matthew O. Ward; Carolina Ruiz (SIGMOD Conference, 2013)

PARAS: A Parameter Space Framework for Online Association Mining. - Xika Lin; Abhishek Mukherji; Elke A. Rundensteiner; Carolina Ruiz; Matthew O. Ward (Proc. VLDB Endow., 2013)

A Novel Feature Generation Method for Sequence Classification - Mutated Subsequence Generation. - Hao Wan 002; Carolina Ruiz; Joseph E. Beck (BIOINFORMATICS, 2014)

Automatic Extraction of Highly Predictive Sequence Features that Incorporate Contiguity and Mutation. - Hao Wan 002; Carolina Ruiz; Joseph Beck 001 (BIOSTEC (Selected Papers), 2014)

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)

Designing and Testing User-Centric Systems with both User Experience and Design Science Research Principles. - Soussan Djamasbi; Diane M. Strong; E. Vance Wilson; Carolina Ruiz (AMCIS, 2016)

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)

SlipBuddy: A Mobile Health Intervention to Prevent Overeating. - Bengisu Tulu; Carolina Ruiz; Joshua Allard; Joseph Acheson; Andrew M. Busch; Andrew Roskuski; Gage Heeringa; Victor Jaskula; Jessica Oleski; Sherry Pagoto (HICSS, 2017)

Using a Key Informant Focus Group, Formative User Testing, and Theory to Guide Design of a Sleep Health BCSS. - E. Vance Wilson; Soussan Djamasbi; Diane M. Strong; Carolina Ruiz (HICSS, 2017)

Using Personality Traits and Chronotype to Support Personalization and Feedback in a Sleep Health Behavior Change Support System. - Holly Nguyen; Carolina Ruiz; E. Vance Wilson; Diane M. Strong; Soussan Djamasbi (HICSS, 2018)

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

Machine Learning to Predict Overeating from Macronutrient Composition. - Karitta Zellerbach; Carolina Ruiz (BIBM, 2019)

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)

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)