Zoran Obradovic

According to our database1, Zoran Obradovic authored at least 223 papers between 1989 and 2021.

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Bibliography

2021
Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements.
IEEE Trans. Instrum. Meas., 2021

DescribePROT: database of amino acid-level protein structure and function predictions.
Nucleic Acids Res., 2021

Interception of automated adversarial drone swarms in partially observed environments.
Integr. Comput. Aided Eng., 2021

Another estimation of Laplacian spectrum of the Kronecker product of graphs.
CoRR, 2021

Transfer Learning for Event Detection From PMU Measurements With Scarce Labels.
IEEE Access, 2021

Fast Extraction and Characterization of Fundamental Frequency Events from a Large PMU Dataset using Big Data Analytics.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Stay on Topic, Please: Aligning User Comments to the Content of a News Article.
Proceedings of the Advances in Information Retrieval, 2021

2020
On the dynamics of user engagement in news comment media.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2020

Use of disease embedding technique to predict the risk of progression to end-stage renal disease.
J. Biomed. Informatics, 2020

Predicting complications of diabetes mellitus using advanced machine learning algorithms.
J. Am. Medical Informatics Assoc., 2020

Extracting Entities and Topics from News and Connecting Criminal Records.
CoRR, 2020

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.
Comput. Methods Programs Biomed., 2020

Time-Aware User Embeddings as a Service.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Autonomous Navigation for Drone Swarms in GPS-Denied Environments Using Structured Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Social network analysis for better understanding of influenza.
J. Biomed. Informatics, 2019

Time-to-event estimation by re-defining time.
J. Biomed. Informatics, 2019

Optimizing clinical trials recruitment via deep learning.
J. Am. Medical Informatics Assoc., 2019

Multi-domain and multi-view networks model for clustering hospital admissions from the emergency department.
Int. J. Data Sci. Anal., 2019

Deeply supervised model for click-through rate prediction in sponsored search.
Data Min. Knowl. Discov., 2019

Further results on structured regression for multi-scale networks.
CoRR, 2019

Editorial Message.
Big Data, 2019

Biased News Data Influence on Classifying Social Media Posts.
Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, 2019

Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Spatially Aware Ensemble-Based Learning to Predict Weather-Related Outages in Transmission.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Pattern discovery in intrusion chains and adversarial movement.
Proceedings of the International Conference on Cyber Situational Awareness, 2019

Surveying public opinion using label prediction on social media data.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models.
IEEE J. Biomed. Health Informatics, 2018

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.
SIGMOD Rec., 2018

Fast learning of scale-free networks based on Cholesky factorization.
Int. J. Intell. Syst., 2018

Predicting Adversarial Cyber-Intrusion Stages Using Autoregressive Neural Networks.
IEEE Intell. Syst., 2018

Improving confidence while predicting trends in temporal disease networks.
CoRR, 2018

Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search.
CoRR, 2018

New Methods for Analyzing Complex Biomedical Systems and Signals.
Complex., 2018

A Simple yet Effective Model for Zero-Shot Learning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Attention Model for Triage of Emergency Department Patients.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Generalization-Aware Structured Regression towards Balancing Bias and Variance.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Analysis of Adversarial Movement Through Characteristics of Graph Topological Ordering.
Proceedings of the International Conference On Cyber Situational Awareness, 2018

2017
Mining Skier Transportation Patterns From Ski Resort Lift Usage Data.
IEEE Trans. Hum. Mach. Syst., 2017

Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Gaussian conditional random fields extended for directed graphs.
Mach. Learn., 2017

Structured Regression on Multiscale Networks.
IEEE Intell. Syst., 2017

Sparse Learning of the Disease Severity Score for High-Dimensional Data.
Complex., 2017

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
BMC Bioinform., 2017

A Robust Descriptor for Color Texture Classification Under Varying Illumination.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Using a Real-Time Cybersecurity Exercise Case Study to Understand Temporal Characteristics of Cyberattacks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Ranking Based Multitask Learning of Scoring Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Cost Sensitive Time-Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Adaptive Skip-Train Structured Regression for Temporal Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A temporal assessment of cyber intrusion chains using multidisciplinary frameworks and methodologies.
Proceedings of the 2017 International Conference On Cyber Situational Awareness, 2017

Predicting Sepsis Biomarker Progression under Therapy.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Continuous Conditional Dependency Network for Structured Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue.
ACM Trans. Knowl. Discov. Data, 2016

Structured feature selection using coordinate descent optimization.
BMC Bioinform., 2016

A robust data scaling algorithm to improve classification accuracies in biomedical data.
BMC Bioinform., 2016

Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification.
Proceedings of the Social Informatics - 8th International Conference, 2016

Structured Regression on Multilayer Networks.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Joint Learning of Representation and Structure for Sparse Regression on Graphs.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Distance Based Modeling of Interactions in Structured Regression.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Risk Assessment of a Transmission Line Insulation Breakdown Due to Lightning and Severe Weather.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Shape Invariant Formulation for Change Point Models in Multiple Dimensions.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Modeling Customer Engagement from Partial Observations.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A fast structured regression for large networks.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States.
IEEE Trans. Geosci. Remote. Sens., 2015

Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals.
IEEE Geosci. Remote. Sens. Lett., 2015

A distributed decision support algorithm that preserves personal privacy.
J. Intell. Inf. Syst., 2015

Patient-specific early classification of multivariate observations.
Int. J. Data Min. Bioinform., 2015

Guest editorial: Special issue on data mining for medicine and healthcare.
Data Min. Knowl. Discov., 2015

Semi-supervised learning for structured regression on partially observed attributed graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015

False alarm suppression in early prediction of cardiac arrhythmia.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

A robust data scaling algorithm for gene expression classification.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses.
Proceedings of the AMIA 2015, 2015

Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Panning for gold: using variograms to select useful connections in a temporal multigraph setting.
Soc. Netw. Anal. Min., 2014

Imputation of missing links and attributes in longitudinal social surveys.
Mach. Learn., 2014

Neural Gaussian Conditional Random Fields.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Utilizing temporal patterns for estimating uncertainty in interpretable early decision making.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Predicting Sepsis Severity from Limited Temporal Observations.
Proceedings of the Discovery Science - 17th International Conference, 2014

Hospital pricing estimation by Gaussian conditional random fields based regression on graphs.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Readmission Classification Using Stacked Regularized Logistic Regression Models.
Proceedings of the AMIA 2014, 2014

2013
Distributed Privacy-Preserving Decision Support System for Highly Imbalanced Clinical Data.
ACM Trans. Manag. Inf. Syst., 2013

Dynamic distributed predictive learning models that preserve privacy for hospitals with insufficient labeled data.
Netw. Model. Anal. Health Informatics Bioinform., 2013

D<sup>2</sup>P<sup>2</sup>: database of disordered protein predictions.
Nucleic Acids Res., 2013

Classifying Temporal microarray Data by Selecting Informative genes.
J. Bioinform. Comput. Biol., 2013

Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics.
BMC Bioinform., 2013

Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Temporal Evaluation of Risk Factors for Acute Myocardial Infarction Readmissions.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Improving Computational Efficiency for Personalized Medical Applications in Mobile Cloud Computing Environment.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Early Diagnosis and Its Benefits in Sepsis Blood Purification Treatment.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Extraction of Interpretable Multivariate Patterns for Early Diagnostics.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Poster: Auto-reduction of features for containing communication costs in a distributed privacy-preserving clinical decision support system.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013

Which links should I use?: a variogram-based selection of relationship measures for prediction of node attributes in temporal multigraphs.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2012

DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis.
J. Biomed. Informatics, 2012

Reusable components in decision tree induction algorithms.
Comput. Stat., 2012

Early classification of multivariate temporal observations by extraction of interpretable shapelets.
BMC Bioinform., 2012

Learning pair-wise gene functional similarity by multiplex gene expression maps.
BMC Bioinform., 2012

Understanding Cloud Data Using Approximate String Matching and Edit Distance.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Towards a DGSS Prototype for Early Warning for Ski Injuries.
Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

Mining Extremes: Severe Rainfall and Climate Change.
Proceedings of the ECAI 2012, 2012

A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Integration of multiple annotators by aggregating experts and filtering novices.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

A data mining approach for optimization of acute inflammation therapy.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Early classification of multivariate time series using a hybrid HMM/SVM model.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Margin-Based Feature Selection in Incomplete Data.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks.
Stat. Anal. Data Min., 2011

Local spatial biclustering and prediction of urban juvenile delinquency and recidivism.
Stat. Anal. Data Min., 2011

Component-based decision trees for classification.
Intell. Data Anal., 2011

Bioinformatics analysis of disordered proteins in prokaryotes.
BMC Bioinform., 2011

Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps.
Proceedings of the IJCAI 2011, 2011

A privacy-preserving framework for distributed clinical decision support.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Intrinsic Disorder in Putative Protein Sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Constraint graphs as security filters for privacy assurance in medical transactions.
Proceedings of the ACM International Conference on Bioinformatics, 2011

Identifying pair-wise gene functional similarity by multiplex gene expression maps and supervised learning.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
A Data-Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures.
IEEE Geosci. Remote. Sens. Lett., 2010

Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes.
Proceedings of the KDIR 2010, 2010

Regression Learning with Multiple Noisy Oracles.
Proceedings of the ECAI 2010, 2010

Continuous Conditional Random Fields for Regression in Remote Sensing.
Proceedings of the ECAI 2010, 2010

Prediction of Attributes and Links in Temporal Social Networks.
Proceedings of the ECAI 2010, 2010

Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space.
Proceedings of the ECAI 2010, 2010

Vocabularies in collaboration channels.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010

Unsupervised integration of multiple protein disorder predictors.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Identifying gene functions using functional expression profiles obtained by voxelation.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Special issue on the best papers of SDM'09.
Stat. Anal. Data Min., 2009

Analysis of multiplex gene expression maps obtained by voxelation.
BMC Bioinform., 2009

Reduction of ground-based sensor sites for spatio-temporal analysis of aerosols.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Protein sequence alignment and structural disorder: a substitution matrix for an extended alphabet.
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

Active Selection of Sensor Sites in Remote Sensing Applications.
Proceedings of the ICDM 2009, 2009

Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
A Data-Mining Approach for the Validation of Aerosol Retrievals.
IEEE Geosci. Remote. Sens. Lett., 2008

An adaptive partitioning approach for mining discriminant regions in 3D image data.
J. Intell. Inf. Syst., 2008

Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression.
Proceedings of the SIAM International Conference on Data Mining, 2008

Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2008

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Improvement of Survival Prediction from Gene Expression Profiles by Mining of Prior Knowledge.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
DisProt: the Database of Disordered Proteins.
Nucleic Acids Res., 2007

Exploring alternative knowledge representations for protein secondary-structure prediction.
Int. J. Data Min. Bioinform., 2007

ProtBuD: a database of biological unit structures of protein families and superfamilies.
Bioinform., 2007

Intrinsically Disordered Proteins: An Update.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Intrinsically Disordered Proteins: Predictions and Applications.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
A statistical complement to deterministic algorithms for the retrieval of aerosol optical thickness from radiance data.
Eng. Appl. Artif. Intell., 2006

Length-dependent prediction of protein intrinsic disorder.
BMC Bioinform., 2006

Substring selection for biomedical document classification.
Bioinform., 2006

Keyphrase extraction-based query expansion in digital libraries.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2006

Data Mining Support for the Improvement of MODIS Aerosol Retrievals.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Efficient Learning from Massive Spatial-Temporal Data Through Selective Support Vector Propagation.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Collaborative Filtering Using a Regression-Based Approach.
Knowl. Inf. Syst., 2005

Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information.
J. Bioinform. Comput. Biol., 2005

DisProt: a database of protein disorder.
Bioinform., 2005

Applying spatial distribution analysis techniques to classification of 3D medical images.
Artif. Intell. Medicine, 2005

Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Classification and knowledge discovery in protein databases.
J. Biomed. Informatics, 2004

Exploring Bias in the Protein Data Bank Using Contrast Classifiers.
Proceedings of the Biocomputing 2004, 2004

Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Feature Selection Filters Based on the Permutation Test.
Proceedings of the Machine Learning: ECML 2004, 2004

Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Modeling Spatial-Temporal Data with a Short Observation History.
Knowl. Inf. Syst., 2003

Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Prediction of Boundaries Between Intrinsically Ordered and Disordered Protein Regions.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Reranking Medline Citations by Relevance to a Difficult Biological Query.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Knowledge Discovery in Multiple Spatial Databases.
Neural Comput. Appl., 2002

Boosting Algorithms for Parallel and Distributed Learning.
Distributed Parallel Databases, 2002

Effective classification of 3D image data using partitioning methods.
Proceedings of the Visualization and Data Analysis 2002, 2002

Improving Sequence Alignments For Intrinsically Disordered Proteins.
Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

2001
Adaptive boosting techniques in heterogeneous and spatial databases.
Intell. Data Anal., 2001

Improved Spatial-Temporal Forecasting through Modelling of Spatial Residuals in Recent History.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Boosting Localized Classifiers in Heterogeneous Databases.
Proceedings of the First SIAM International Conference on Data Mining, 2001

The Protein Non-Folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder.
Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

Data Reduction Using Multiple Models Integration.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

The distributed boosting algorithm.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Classification on Data with Biased Class Distribution.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000.
SIGKDD Explor., 2000

Intelligent Data Analysis for Protein Disorder Prediction.
Artif. Intell. Rev., 2000

Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Adaptive Boosting for Spatial Functions with Unstable Driving Attributes.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Distributed and parallel knowledge discovery (workshop session - title only).
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Learning Heterogeneous Functions from Sparse and Non-Uniform Sample.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Discovering Homogeneous Regions in Spatial Data through Competition.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Software System for Spatial Data Analysis and Modeling.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000

Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data.
Proceedings of the 14<sup>th</sup> European Simulation Multiconference, 2000

A tool for controlled knowledge discovery in spatial domains.
Proceedings of the 14<sup>th</sup> European Simulation Multiconference, 2000

Distributed clustering and local regression for knowledge discovery in multiple spatial databases.
Proceedings of the ESANN 2000, 2000

1999
A data partitioning scheme for spatial regression.
Proceedings of the International Joint Conference Neural Networks, 1999

Distribution comparison for site-specific regression modeling in agriculture.
Proceedings of the International Joint Conference Neural Networks, 1999

Efficient probability density balancing for supporting distributed knowledge discovery in large databases.
Proceedings of the International Joint Conference Neural Networks, 1999

Clustering-regression-ordering steps for knowledge discovery in spatial databases.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms.
Proceedings of the 28th IEEE International Symposium on Multiple-Valued Logic, 1998

1997
Identifying disordered regions in proteins from amino acid sequence.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Regime Signaling Techniques for Non-stationary Time Series.
Proceedings of the 30th Annual Hawaii International Conference on System Sciences (HICSS-30), 1997

INFFC data analysis: lower bounds and testbed design recommendations.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1996
Parallel neural network learning through repetitive bounded depth trajectory branching.
Neural Parallel Sci. Comput., 1996

A multi-component nonlinear prediction system for the S&P 500 Index.
Neurocomputing, 1996

Embedding Technical Analysis Into Neural Network Based Trading Systems.
Appl. Artif. Intell., 1996

Annealing based dynamic learning in second-order neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
A discrete approach to constructive neural network learning.
Neural Parallel Sci. Comput., 1995

1994
Learning with Discrete Multi-valued Neurons.
J. Comput. Syst. Sci., 1994

Evolutionary Design of Application Tailored Neural Networks.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993
Parallel and Distributed Systems for Constructive Neural Network Learning.
Proceedings of the Second International Symposium on High Performance Distributed Computing, 1993

1992
Computing with Discrete Multi-Valued Neurons.
J. Comput. Syst. Sci., 1992

1990
Small Depth Polynomial Size Neural Networks.
Neural Comput., 1990

1989
Analog Neural Networks of Limited Precision I: Computing with Multilinear Threshold Functions.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989


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