Doina Caragea

According to our database1, Doina Caragea authored at least 102 papers between 1997 and 2019.

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

Timeline

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Links

On csauthors.net:

Bibliography

2019
Localizing and quantifying infrastructure damage using class activation mapping approaches.
Social Netw. Analys. Mining, 2019

A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets.
IJISCRAM, 2019

Keyphrase Extraction from Disaster-related Tweets.
CoRR, 2019

Keyphrase Extraction from Disaster-related Tweets.
Proceedings of the World Wide Web Conference, 2019

Identifying Android Malware Using Network-Based Approaches.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training.
IJISCRAM, 2018

Localizing and Quantifying Damage in Social Media Images.
CoRR, 2018

Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Localizing and Quantifying Damage in Social Media Images.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
An empirical study of self-training and data balancing techniques for splice site prediction.
IJBRA, 2017

Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster.
Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

Twitter-enhanced Android malware detection.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
An evaluation of approaches for using unlabeled data with domain adaptation.
NetMAHIB, 2016

Predicting Tweet Retweetability during Hurricane Disasters.
IJISCRAM, 2016

Predicting alternatively spliced exons using semi-supervised learning.
IJDMB, 2016

Retweetability Analysis and Prediction during Hurricane Sandy.
Proceedings of the 13th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2016

Ab initio Splice Site Prediction with Simple Domain Adaptation Classifiers.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

Android malware detection with weak ground truth data.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Study of transductive learning and unsupervised feature construction methods for biological sequence classification.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Predicting Cyber Risks through National Vulnerability Database.
Information Security Journal: A Global Perspective, 2015

Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Twitter Mining for Disaster Response: A Domain Adaptation Approach.
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015

Community Detection-Based Feature Construction for Protein Sequence Classification.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

Domain Adaptation with Logistic Regression for the Task of Splice Site Prediction.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

Predicting cassette exons using transductive learning approaches.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

An Evaluation of Self-training Styles for Domain Adaptation on the Task of Splice Site Prediction.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Experimental Study with Real-world Data for Android App Security Analysis using Machine Learning.
Proceedings of the 31st Annual Computer Security Applications Conference, 2015

Leveraging Multiple Networks for Author Personalization.
Proceedings of the Scholarly Big Data: AI Perspectives, 2015

2014
Community Detection on Large Graph Datasets for Recommender Systems.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Generating Features using Burrows Wheeler Transformation for Biological Sequence Classification.
Proceedings of the BIOINFORMATICS 2014, 2014

Empirical Study of Domain Adaptation Algorithms on the Task of Splice Site Prediction.
Proceedings of the Biomedical Engineering Systems and Technologies, 2014

Empirical Study of Domain Adaptation with Naïve Bayes on the Task of Splice Site Prediction.
Proceedings of the BIOINFORMATICS 2014, 2014

Predicting protein localization using a domain adaptation na¨ıve Bayes classifier with burrows wheeler transform features.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Community detection-based features for sequence classification.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
KSU KDD: Word Sense Induction by Clustering in Topic Space
CoRR, 2013

A Hybrid Recommender System: User Profiling from Keywords and Ratings.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Economic Development through Business Profiling: A Text Analysis Based Approach.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Pre-release Box-Office Success Prediction for Motion Pictures.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Aiding Intrusion Analysis Using Machine Learning.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Extraction of gene regulatory networks from biological literature.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013

Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees.
Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

Predicting Protein Localization Using a Domain Adaptation Approach.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013

Naïve Bayes Domain Adaptation for Biological Sequences.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Semi-supervised Learning of Alternatively Spliced Exons using Expectation Maximization Type Approaches.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2011
Classifying Scientific Publications Using Abstract Features.
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Predicting Friendship Links in Social Networks Using a Topic Modeling Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities.
Proceedings of the Database and Expert Systems Applications, 2011

Semi-supervised Learning of Alternatively Spliced Exons Using Co-training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Study on regulatory motifs in Arabidopsis thaliana.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum.
Nucleic Acids Research, 2010

Prediction of alternatively spliced exons using Support Vector Machines.
IJDMB, 2010

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.
BMC Bioinformatics, 2010

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

KSU KDD: Word Sense Induction by Clustering in Topic Space.
Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Abstraction Augmented Markov Models.
Proceedings of the ICDM 2010, 2010

Semi-supervised sequence classification using abstraction augmented Markov models.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Knowledge Acquisition from Semantically Heterogeneous Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Towards Bridging the Web and the Semantic Web.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Ontology-Based Link Prediction in the LiveJournal Social Network.
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Learning Link-Based Classifiers from Ontology-Extended Textual Data.
Proceedings of the ICTAI 2009, 2009

Bi-relational Network Analysis Using a Fast Random Walk with Restart.
Proceedings of the ICDM 2009, 2009

Computation of the Semantic Relatedness between Words using Concept Clouds.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks.
Proceedings of the Social Semantic Web: Where Web 2.0 Meets Web 3.0, 2009

2008
Visual Methods for Examining SVM Classifiers.
Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Learning Classifiers from Large Databases Using Statistical Queries.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems.
Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008

Exploring Alternative Splicing Features Using Support Vector Machines.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data.
Proceedings of the Next Generation of Data Mining., 2008

2007
Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Package-Based Description Logics - Preliminary Results.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

On the Semantics of Linking and Importing in Modular Ontologies.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

A Tool for Collaborative Construction of Large Biological Ontologies.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Learning Classifiers from Distributed, Ontology-Extended Data Sources.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Towards Collaborative Environments for Ontology Construction and Sharing.
Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

Modular Ontologies - A Formal Investigation of Semantics and Expressivity.
Proceedings of the Semantic Web, 2006

A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources.
Proceedings of the Semantic Web for Collaborative Knowledge Acquisition, 2006

2005
A framework for semantic web services discovery.
Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Learning Ontology-Aware Classifiers.
Proceedings of the Discovery Science, 8th International Conference, 2005

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Information Integration from Semantically Heterogeneous Biological Data Sources.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Learning Support Vector Machines from Distributed Data Sources.
Proceedings of the Proceedings, 2005

2004
A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees.
Int. J. Hybrid Intell. Syst., 2004

Semantic api matching for automatic service composition.
Proceedings of the 13th international conference on World Wide Web, 2004

Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components.
Proceedings of the Semantic Web and Databases, Second International Workshop, 2004

Learning Classifiers from Semantically Heterogeneous Data.
Proceedings of the On the Move to Meaningful Internet Systems 2004: CoopIS, 2004

2003
Learning Decision Trees form Distributed Heterogeneous Autonomous Data.
Proceedings of the MAICS 2003, 2003

Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

Towards Simple, Easy-to-Understand, yet Accurate Classifiers.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Learning in Open-Ended Dynamic Distributed Environments.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Gaining insights into support vector machine pattern classifiers using projection-based tour methods.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Incremental and Distributed Learning with Support Vector Machines.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1997
Genetic Algorithms, Schemata Construction and Statistics.
Proceedings of the Computational Intelligence, 1997


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