Doina Caragea

According to our database, Doina Caragea authored at least 133 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection.

Guojun Liu, Doina Caragea, Xinming Ou, Sankardas Roy

CoRR, 2024

Contrastive Learning for Multimodal Classification of Crisis related Tweets.

Bishwas Mandal, Sarthak Khanal, Doina Caragea

Proceedings of the ACM on Web Conference 2024, 2024

GunStance: Stance Detection for Gun Control and Gun Regulation.

Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification.

Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea

CoRR, 2023

Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks.

Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch

Proceedings of the ACM Web Conference 2023, 2023

Predicting Pedestrian Involvement in Fatal Crashes Using a TabNet Deep Learning Model.

Omar Al-Ani, Saquib Mohammed Haroon, Doina Caragea, H. M. Abdul Aziz, Eric J. Fitzsimmons

Proceedings of the 16th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2023

Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models.

Soudabeh Taghian Dinani, Doina Caragea

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Comparison Study for Disaster Tweet Classification Using Deep Learning Models.

Soudabeh Taghian Dinani, Doina Caragea

Proceedings of the 12th International Conference on Data Science, 2023

2022

Identification of Fine-Grained Location Mentions in Crisis Tweets.

Sarthak Khanal, Maria Traskowsky, Doina Caragea

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Using Deep Learning to Improve Detection and Decoding Of Barcodes.

Chaoxin Wang, Nicolais Guevara, Doina Caragea

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multimodal Semi-supervised Learning for Disaster Tweet Classification.

Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Leveraging attention-based deep neural networks for security vetting of Android applications.

Prabesh Pathak, Prabesh Poudel, Sankardas Roy, Doina Caragea

EAI Endorsed Trans. Security Safety, 2021

Cross-Domain Attentive Sequential Recommendations based on General and Current User Preferences (CD-ASR).

Nawaf Alharbi, Doina Caragea

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Using Content Analysis and Machine Learning to Identify COVID-19 Information Relevant to Low-income Households on Social Media.

Sarthak Khanal, Rus Refati, Kyle Glandt, Doina Caragea, Sifan Xu, Chien-Fei Chen

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification.

Tiberiu Sosea, Iustin Sirbu, Cornelia Caragea, Doina Caragea, Traian Rebedea

Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

Combining Self-training with Deep Learning for Disaster Tweet Classification.

Hongmin Li, Doina Caragea, Cornelia Caragea

Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

Disaster Image Classification Using Capsule Networks.

Soudabeh Taghian Dinani, Doina Caragea

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event.

Sarthak Khanal, Doina Caragea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Stance Detection in COVID-19 Tweets.

Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Author Homepage Discovery in CiteSeerX.

Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions.

Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba

Inf. Process. Manag., 2020

Root anatomy based on root cross-section image analysis with deep learning.

Chaoxin Wang, Xukun Li, Doina Caragea, Raju Bheemanahalli, S. V. Krishna Jagadish

Comput. Electron. Agric., 2020

Domain Adaptation with Reconstruction for Disaster Tweet Classification.

Xukun Li, Doina Caragea

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Abstractive Text Summarization of Disaster-Related Documents.

Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Improving Disaster-related Tweet Classification with a Multimodal Approach.

Xukun Li, Doina Caragea

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Hybrid Analysis of Android Apps for Security Vetting using Deep Learning.

Dewan Chaulagain, Prabesh Poudel, Prabesh Pathak, Sankardas Roy, Doina Caragea, Guojun Liu, Xinming Ou

Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

Identifying FinTech Innovations Using BERT.

Doina Caragea, Mark Chen, Theodor Cojoianu, Mihai Dobri, Kyle Glandt, George Mihaila

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup.

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

On Identifying Hashtags in Disaster Twitter Data.

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Localizing and quantifying infrastructure damage using class activation mapping approaches.

Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran

Soc. Netw. Anal. Min., 2019

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

Reza Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran

Int. J. Inf. Syst. Crisis Response Manag., 2019

Keyphrase Extraction from Disaster-related Tweets.

Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Proceedings of the World Wide Web Conference, 2019

Classification of eyewitness tweets in emergency situations.

Ioana Stefan, Traian Rebedea, Doina Caragea

Proceedings of the 16th International Conference on Human-Computer Interaction, 2019

Sympathy Detection in Disaster Twitter Data.

Yingjie Li, Seoyeon Park, Cornelia Caragea, Doina Caragea, Andrea H. Tapia

Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Identifying Disaster Damage Images Using a Domain Adaptation Approach.

Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli

Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Refining a Coding Scheme to Identify Actionable Information on Social Media.

Jess Kropczynski, Rob Grace, Shane E. Halse, Doina Caragea, Cornelia Caragea, Andrea H. Tapia

Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, 2019

Identifying Android malware using network-based approaches.

Emily Alfs, Doina Caragea, Dewan Chaulagain, Sankardas Roy, Nathan Albin, Pietro Poggi-Corradini

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Identifying Android Malware Using Network-Based Approaches.

Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Hongmin Li, Oleksandra Sopova, Doina Caragea, Cornelia Caragea

Int. J. Inf. Syst. Crisis Response Manag., 2018

Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters.

Venkata Kishore Neppalli, Cornelia Caragea, Doina Caragea

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.

Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea

Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Localizing and Quantifying Damage in Social Media Images.

Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran

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.

Ana Stanescu, Doina Caragea

Int. J. Bioinform. Res. Appl., 2017

Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster.

Hongmin Li, Doina Caragea, Cornelia Caragea

Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

Twitter-enhanced Android malware detection.

Jordan DeLoach, Doina Caragea

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Android Malware Detection with Weak Ground Truth Data.

Jordan DeLoach, Doina Caragea, Xinming Ou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

Nic Herndon, Doina Caragea

Netw. Model. Anal. Health Informatics Bioinform., 2016

Predicting Tweet Retweetability during Hurricane Disasters.

Venkata Kishore Neppalli, Cornelia Caragea, Doina Caragea, Murilo Cerqueira Medeiros, Andrea H. Tapia, Shane E. Halse

Int. J. Inf. Syst. Crisis Response Manag., 2016

Predicting alternatively spliced exons using semi-supervised learning.

Ana Stanescu, Karthik Tangirala, Doina Caragea

Int. J. Data Min. Bioinform., 2016

Retweetability Analysis and Prediction during Hurricane Sandy.

Venkata Kishore Neppalli, Murilo Cerqueira Medeiros, Cornelia Caragea, Doina Caragea, Andrea H. Tapia, Shane E. Halse

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.

Nic Herndon, Doina Caragea

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

Study of transductive learning and unsupervised feature construction methods for biological sequence classification.

Ana Stanescu, Karthik Tangirala, Doina Caragea

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.

Su Zhang, Xinming Ou, Doina Caragea

Inf. Secur. J. A Glob. Perspect., 2015

Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains.

Rohit Parimi, Doina Caragea

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Twitter Mining for Disaster Response: A Domain Adaptation Approach.

Hongmin Li, Nicolais Guevara, Nic Herndon, Doina Caragea, Kishore Neppalli, Cornelia Caragea, Anna Cinzia Squicciarini, Andrea H. Tapia

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.

Karthik Tangirala, Nic Herndon, Doina Caragea

Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

Domain Adaptation with Logistic Regression for the Task of Splice Site Prediction.

Nic Herndon, Doina Caragea

Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

Predicting cassette exons using transductive learning approaches.

Ana Stanescu, Doina Caragea

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.

Rohit Parimi, Toma Trepka, Doina Caragea, Cody Bennett

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.

Nic Herndon, Doina Caragea

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.

Sankardas Roy, Jordan DeLoach, Yuping Li, Nic Herndon, Doina Caragea, Xinming Ou, Venkatesh Prasad Ranganath, Hongmin Li, Nicolais Guevara

Proceedings of the 31st Annual Computer Security Applications Conference, 2015

Leveraging Multiple Networks for Author Personalization.

Rohit Parimi, Doina Caragea

Proceedings of the Scholarly Big Data: AI Perspectives, 2015

2014

Community Detection on Large Graph Datasets for Recommender Systems.

Rohit Parimi, Doina Caragea

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Generating Features using Burrows Wheeler Transformation for Biological Sequence Classification.

Karthik Tangirala, Doina Caragea

Proceedings of the BIOINFORMATICS 2014, 2014

Empirical Study of Domain Adaptation Algorithms on the Task of Splice Site Prediction.

Nic Herndon, Doina Caragea

Proceedings of the Biomedical Engineering Systems and Technologies, 2014

Empirical Study of Domain Adaptation with Naïve Bayes on the Task of Splice Site Prediction.

Nic Herndon, Doina Caragea

Proceedings of the BIOINFORMATICS 2014, 2014

Predicting protein localization using a domain adaptation na¨ıve Bayes classifier with burrows wheeler transform features.

Nic Herndon, Karthik Tangirala, Doina Caragea

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.

Ana Stanescu, Doina Caragea

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Community detection-based features for sequence classification.

Karthik Tangirala, Doina Caragea

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

A Hybrid Recommender System: User Profiling from Keywords and Ratings.

Ana Stanescu, Swapnil Nagar, Doina Caragea

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Economic Development through Business Profiling: A Text Analysis Based Approach.

Rohit Parimi, Doina Caragea, Dale Wunderlich

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Pre-release Box-Office Success Prediction for Motion Pictures.

Rohit Parimi, Doina Caragea

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Aiding Intrusion Analysis Using Machine Learning.

Loai Zomlot, Sathya Chandran Sundaramurthy, Doina Caragea, Xinming Ou

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Extraction of gene regulatory networks from biological literature.

Karthik Tangirala, Doina Caragea

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.

Srilaxmi Cheeti, Ana Stanescu, Doina Caragea

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.

Nic Herndon, Doina Caragea

Proceedings of the Biomedical Engineering Systems and Technologies, 2013

Naïve Bayes Domain Adaptation for Biological Sequences.

Nic Herndon, Doina Caragea

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.

Ana Stanescu, Doina Caragea

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.

Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra

Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011

Predicting Friendship Links in Social Networks Using a Topic Modeling Approach.

Rohit Parimi, Doina Caragea

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities.

Su Zhang, Doina Caragea, Xinming Ou

Proceedings of the Database and Expert Systems Applications, 2011

Semi-supervised Learning of Alternatively Spliced Exons Using Co-training.

Karthik Tangirala, Doina Caragea

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Study on regulatory motifs in <i>Arabidopsis thaliana</i>.

Vishal Bahirwani, Doina Caragea

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

BeetleBase in 2010: revisions to provide comprehensive genomic information for <i>Tribolium castaneum</i>.

Hee Shin Kim, Terence Murphy, Jing Xia, Doina Caragea, Yoonseong Park, Richard W. Beeman, Marcé D. Lorenzen, Stephen Butcher, J. Robert Manak, Susan J. Brown

Nucleic Acids Res., 2010

Prediction of alternatively spliced exons using Support Vector Machines.

Jing Xia, Doina Caragea, Susan J. Brown

Int. J. Data Min. Bioinform., 2010

Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.

Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant G. Honavar

BMC Bioinform., 2010

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery.

Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

KSU KDD: Word Sense Induction by Clustering in Topic Space.

Wesam Elshamy, Doina Caragea, William H. Hsu

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Abstraction Augmented Markov Models.

Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar

Proceedings of the ICDM 2010, 2010

Semi-supervised sequence classification using abstraction augmented Markov models.

Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009

Knowledge Acquisition from Semantically Heterogeneous Data.

Doina Caragea, Vasant G. Honavar

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Towards Bridging the Web and the Semantic Web.

Swarnim Kulkarni, Doina Caragea

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Ontology-Based Link Prediction in the LiveJournal Social Network.

Doina Caragea, Vikas Bahirwani, Waleed Aljandal, William H. Hsu

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.

Mandar Haridas, Doina Caragea

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data.

Cornelia Caragea, Doina Caragea, Vasant G. Honavar

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2009, 2009

Learning Link-Based Classifiers from Ontology-Extended Textual Data.

Cornelia Caragea, Doina Caragea, Vasant G. Honavar

Proceedings of the ICTAI 2009, 2009

Bi-relational Network Analysis Using a Fast Random Walk with Restart.

Jing Xia, Doina Caragea, William H. Hsu

Proceedings of the ICDM 2009, 2009

Computation of the Semantic Relatedness between Words using Concept Clouds.

Swarnim Kulkarni, Doina Caragea

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.

Waleed Aljandal, Vikas Bahirwani, Doina Caragea, William H. Hsu

Proceedings of the Social Semantic Web: Where Web 2.0 Meets Web 3.0, 2009

2008

Visual Methods for Examining SVM Classifiers.

Doina Caragea, Dianne Cook, Hadley Wickham, Vasant G. Honavar

Proceedings of the Visual Data Mining - Theory, Techniques and Tools for Visual Analytics, 2008

Learning Classifiers from Large Databases Using Statistical Queries.

Neeraj Koul, Cornelia Caragea, Vasant G. Honavar, Vikas Bahirwani, Doina Caragea

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems.

Scott J. Harmon, Scott A. DeLoach, Robby, Doina Caragea

Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008

Exploring Alternative Splicing Features Using Support Vector Machines.

Jing Xia, Doina Caragea, Susan J. Brown

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition.

Vasant G. Honavar, Doina Caragea

Proceedings of the Semantic Scientific Knowledge Integration, 2008

Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data.

Vasant G. Honavar, Doina Caragea

Proceedings of the Next Generation of Data Mining., 2008

2007

Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae.

Martin S. R. Paradesi, Doina Caragea, William H. Hsu

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies.

Jie Bao, Doina Caragea, Vasant G. Honavar

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Package-Based Description Logics - Preliminary Results.

Jie Bao, Doina Caragea, Vasant G. Honavar

Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

On the Semantics of Linking and Importing in Modular Ontologies.

Jie Bao, Doina Caragea, Vasant G. Honavar

Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

A Tool for Collaborative Construction of Large Biological Ontologies.

Jie Bao, Zhiliang Hu, Doina Caragea, James M. Reecy, Vasant G. Honavar

Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Learning Classifiers from Distributed, Ontology-Extended Data Sources.

Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant G. Honavar

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Towards Collaborative Environments for Ontology Construction and Sharing.

Jie Bao, Doina Caragea, Vasant G. Honavar

Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

Modular Ontologies - A Formal Investigation of Semantics and Expressivity.

Jie Bao, Doina Caragea, Vasant G. Honavar

Proceedings of the Semantic Web, 2006

A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources.

Doina Caragea, Jie Bao, Vasant G. Honavar

Proceedings of the Semantic Web for Collaborative Knowledge Acquisition, 2006

2005

A framework for semantic web services discovery.

Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant G. Honavar

Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Learning Ontology-Aware Classifiers.

Jun Zhang, Doina Caragea, Vasant G. Honavar

Proceedings of the Discovery Science, 8th International Conference, 2005

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources.

Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar

Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Information Integration from Semantically Heterogeneous Biological Data Sources.

Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar

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.

Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Learning Support Vector Machines from Distributed Data Sources.

Cornelia Caragea, Doina Caragea, Vasant G. Honavar

Proceedings of the Proceedings, 2005

2004

A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees.

Doina Caragea, Adrian Silvescu, Vasant G. Honavar

Int. J. Hybrid Intell. Syst., 2004

Semantic api matching for automatic service composition.

Doina Caragea, Tanveer Fathima Syeda-Mahmood

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.

Jyotishman Pathak, Doina Caragea, Vasant G. Honavar

Proceedings of the Semantic Web and Databases, Second International Workshop, 2004

Learning Classifiers from Semantically Heterogeneous Data.

Doina Caragea, Jyotishman Pathak, Vasant G. Honavar

Proceedings of the On the Move to Meaningful Internet Systems 2004: CoopIS, 2004

2003

Learning Decision Trees form Distributed Heterogeneous Autonomous Data.

Doina Caragea, Adrian Silvescu, Vasant G. Honavar

Proceedings of the MAICS 2003, 2003

Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach.

Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar

Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources.

Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar

Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

Towards Simple, Easy-to-Understand, yet Accurate Classifiers.

Doina Caragea, Dianne Cook, Vasant G. Honavar

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Learning in Open-Ended Dynamic Distributed Environments.

Doina Caragea

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.

Doina Caragea, Adrian Silvescu, Vasant G. Honavar

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Gaining insights into support vector machine pattern classifiers using projection-based tour methods.

Doina Caragea, Dianne Cook, Vasant G. Honavar

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

Incremental and Distributed Learning with Support Vector Machines.

Doina Caragea, Adrian Silvescu, Vasant G. Honavar

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.

Alexandru Agapie, Doina Caragea

Proceedings of the Computational Intelligence, 1997