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ORCIDDoina Caragea
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- affiliation: Kansas State University, Manhattan, KA, USA
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2020 – today
- 2024
[c115]Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea:
GunStance: Stance Detection for Gun Control and Gun Regulation. ACL (1) 2024: 12027-12044- [c114]Bishwas Mandal
, Sarthak Khanal, Doina Caragea:
Contrastive Learning for Multimodal Classification of Crisis related Tweets. WWW 2024: 4555-4564 - 2023
- [c113]Soudabeh Taghian Dinani, Doina Caragea:
A Comparison Study for Disaster Tweet Classification Using Deep Learning Models. DATA 2023: 152-163 - [c112]Soudabeh Taghian Dinani, Doina Caragea:
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. DSAA 2023: 1-11 - [c111]Omar Al-Ani, Saquib Mohammed Haroon, Doina Caragea, H. M. Abdul Aziz, Eric J. Fitzsimmons:
Predicting Pedestrian Involvement in Fatal Crashes Using a TabNet Deep Learning Model. IWCTS@SIGSPATIAL 2023: 19-27 - [c110]Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch:
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. WWW 2023: 4161-4171 - [i6]Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea:
CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. CoRR abs/2310.14627 (2023) - 2022
- [c109]Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea:
Multimodal Semi-supervised Learning for Disaster Tweet Classification. COLING 2022: 2711-2723 - [c108]Chaoxin Wang, Nicolais Guevara, Doina Caragea:
Using Deep Learning to Improve Detection and Decoding Of Barcodes. ICIP 2022: 1576-1580 - [c107]Sarthak Khanal, Maria Traskowsky, Doina Caragea:
Identification of Fine-Grained Location Mentions in Crisis Tweets. LREC 2022: 7164-7173 - 2021
- [j15]Prabesh Pathak, Prabesh Poudel, Sankardas Roy, Doina Caragea:
Leveraging attention-based deep neural networks for security vetting of Android applications. EAI Endorsed Trans. Security Safety 8(29): e2 (2021) - [c106]Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles:
Author Homepage Discovery in CiteSeerX. AAAI 2021: 15146-15155 - [c105]Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea:
Stance Detection in COVID-19 Tweets. ACL/IJCNLP (1) 2021: 1596-1611 - [c104]Sarthak Khanal, Doina Caragea:
Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event. EMNLP (Findings) 2021: 4051-4056 - [c103]Soudabeh Taghian Dinani, Doina Caragea:
Disaster Image Classification Using Capsule Networks. IJCNN 2021: 1-8 - [c102]Tiberiu Sosea, Iustin Sirbu, Cornelia Caragea, Doina Caragea, Traian Rebedea:
Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification. ISCRAM 2021: 691-704 - [c101]Hongmin Li, Doina Caragea, Cornelia Caragea:
Combining Self-training with Deep Learning for Disaster Tweet Classification. ISCRAM 2021: 719-730 - [c100]Sarthak Khanal, Rus Refati, Kyle Glandt, Doina Caragea, Sifan Xu, Chien-Fei Chen:
Using Content Analysis and Machine Learning to Identify COVID-19 Information Relevant to Low-income Households on Social Media. ISPA/BDCloud/SocialCom/SustainCom 2021: 1522-1531 - [c99]Nawaf Alharbi, Doina Caragea:
Cross-Domain Attentive Sequential Recommendations based on General and Current User Preferences (CD-ASR). WI/IAT 2021: 48-55 - [i5]Sarthak Khanal, Maria Traskowsky, Doina Caragea:
Identification of Fine-Grained Location Mentions in Crisis Tweets. CoRR abs/2111.06334 (2021) - 2020
- [j14]Chaoxin Wang, Xukun Li, Doina Caragea, Raju Bheemanahalli, S. V. Krishna Jagadish:
Root anatomy based on root cross-section image analysis with deep learning. Comput. Electron. Agric. 175: 105549 (2020) - [j13]Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba:
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. Inf. Process. Manag. 57(5): 102261 (2020) - [c98]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. AAAI 2020: 498-506 - [c97]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. ACL (student) 2020: 292-298 - [c96]Doina Caragea, Mark Chen, Theodor Cojoianu, Mihai Dobri, Kyle Glandt, George Mihaila:
Identifying FinTech Innovations Using BERT. IEEE BigData 2020: 1117-1126 - [c95]Dewan Chaulagain, Prabesh Poudel, Prabesh Pathak, Sankardas Roy, Doina Caragea, Guojun Liu, Xinming Ou:
Hybrid Analysis of Android Apps for Security Vetting using Deep Learning. CNS 2020: 1-9 - [c94]Nasik Muhammad Nafi, Avishek Bose, Sarthak Khanal, Doina Caragea, William H. Hsu:
Abstractive Text Summarization of Disaster-Related Documents. ISCRAM 2020: 881-892 - [c93]Xukun Li, Doina Caragea:
Improving Disaster-related Tweet Classification with a Multimodal Approach. ISCRAM 2020: 893-902 - [c92]Xukun Li, Doina Caragea:
Domain Adaptation with Reconstruction for Disaster Tweet Classification. SIGIR 2020: 1561-1564 - [i4]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. CoRR abs/2001.01323 (2020)
2010 – 2019
- 2019
- [j12]Reza Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran:
A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets. Int. J. Inf. Syst. Crisis Response Manag. 11(2): 1-19 (2019) - [j11]Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran:
Localizing and quantifying infrastructure damage using class activation mapping approaches. Soc. Netw. Anal. Min. 9(1): 44:1-44:15 (2019) - [c91]Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini:
Identifying Android Malware Using Network-Based Approaches. AAAI 2019: 9911-9912 - [c90]Emily Alfs, Doina Caragea, Dewan Chaulagain, Sankardas Roy, Nathan Albin, Pietro Poggi-Corradini:
Identifying Android malware using network-based approaches. ASONAM 2019: 903-906 - [c89]Jess Kropczynski, Rob Grace, Shane E. Halse, Doina Caragea, Cornelia Caragea, Andrea H. Tapia:
Refining a Coding Scheme to Identify Actionable Information on Social Media. ISCRAM 2019 - [c88]Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli:
Identifying Disaster Damage Images Using a Domain Adaptation Approach. ISCRAM 2019 - [c87]Yingjie Li, Seoyeon Park, Cornelia Caragea, Doina Caragea, Andrea H. Tapia:
Sympathy Detection in Disaster Twitter Data. ISCRAM 2019 - [c86]Ioana Stefan, Traian Rebedea, Doina Caragea:
Classification of eyewitness tweets in emergency situations. RoCHI 2019: 46-52 - [c85]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Keyphrase Extraction from Disaster-related Tweets. WWW 2019: 1555-1566 - [i3]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Keyphrase Extraction from Disaster-related Tweets. CoRR abs/1910.07897 (2019) - 2018
- [j10]Hongmin Li, Oleksandra Sopova, Doina Caragea, Cornelia Caragea:
Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training. Int. J. Inf. Syst. Crisis Response Manag. 10(4): 1-20 (2018) - [c84]Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran:
Localizing and Quantifying Damage in Social Media Images. ASONAM 2018: 194-201 - [c83]Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea:
Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. ISCRAM 2018 - [c82]Venkata Kishore Neppalli, Cornelia Caragea, Doina Caragea:
Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters. ISCRAM 2018 - [i2]Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran:
Localizing and Quantifying Damage in Social Media Images. CoRR abs/1806.07378 (2018) - 2017
- [j9]Ana Stanescu, Doina Caragea:
An empirical study of self-training and data balancing techniques for splice site prediction. Int. J. Bioinform. Res. Appl. 13(1): 40-61 (2017) - [c81]Jordan DeLoach, Doina Caragea, Xinming Ou:
Android Malware Detection with Weak Ground Truth Data. AAAI 2017: 4915-4916 - [c80]Jordan DeLoach, Doina Caragea:
Twitter-enhanced Android malware detection. IEEE BigData 2017: 4648-4657 - [c79]Hongmin Li, Doina Caragea, Cornelia Caragea:
Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster. ISCRAM 2017 - 2016
- [j8]Ana Stanescu, Karthik Tangirala, Doina Caragea:
Predicting alternatively spliced exons using semi-supervised learning. Int. J. Data Min. Bioinform. 14(1): 1-21 (2016) - [j7]Venkata Kishore Neppalli, Cornelia Caragea, Doina Caragea, Murilo Cerqueira Medeiros, Andrea H. Tapia, Shane E. Halse:
Predicting Tweet Retweetability during Hurricane Disasters. Int. J. Inf. Syst. Crisis Response Manag. 8(3): 32-50 (2016) - [j6]Nic Herndon, Doina Caragea:
An evaluation of approaches for using unlabeled data with domain adaptation. Netw. Model. Anal. Health Informatics Bioinform. 5(1): 25 (2016) - [c78]Ana Stanescu, Karthik Tangirala, Doina Caragea:
Study of transductive learning and unsupervised feature construction methods for biological sequence classification. ASONAM 2016: 999-1006 - [c77]Jordan DeLoach, Doina Caragea, Xinming Ou:
Android malware detection with weak ground truth data. IEEE BigData 2016: 3457-3464 - [c76]Nic Herndon, Doina Caragea:
Ab initio Splice Site Prediction with Simple Domain Adaptation Classifiers. BIOINFORMATICS 2016: 245-252 - [c75]Venkata Kishore Neppalli, Murilo Cerqueira Medeiros, Cornelia Caragea, Doina Caragea, Andrea H. Tapia, Shane E. Halse:
Retweetability Analysis and Prediction during Hurricane Sandy. ISCRAM 2016 - 2015
- [j5]Su Zhang, Xinming Ou, Doina Caragea:
Predicting Cyber Risks through National Vulnerability Database. Inf. Secur. J. A Glob. Perspect. 24(4-6): 194-206 (2015) - [c74]Rohit Parimi, Doina Caragea:
Leveraging Multiple Networks for Author Personalization. AAAI Workshop: Scholarly Big Data 2015 - [c73]Sankardas Roy, Jordan DeLoach, Yuping Li, Nic Herndon, Doina Caragea, Xinming Ou, Venkatesh Prasad Ranganath, Hongmin Li, Nicolais Guevara:
Experimental Study with Real-world Data for Android App Security Analysis using Machine Learning. ACSAC 2015: 81-90 - [c72]Nic Herndon, Doina Caragea:
An Evaluation of Self-training Styles for Domain Adaptation on the Task of Splice Site Prediction. ASONAM 2015: 1042-1047 - [c71]Rohit Parimi, Toma Trepka, Doina Caragea, Cody Bennett:
How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization. BigData Congress 2015: 475-482 - [c70]Ana Stanescu, Doina Caragea:
Predicting cassette exons using transductive learning approaches. CIBCB 2015: 1-8 - [c69]Nic Herndon, Doina Caragea:
Domain Adaptation with Logistic Regression for the Task of Splice Site Prediction. ISBRA 2015: 125-137 - [c68]Karthik Tangirala, Nic Herndon, Doina Caragea:
Community Detection-Based Feature Construction for Protein Sequence Classification. ISBRA 2015: 331-342 - [c67]Hongmin Li, Nicolais Guevara, Nic Herndon, Doina Caragea, Kishore Neppalli, Cornelia Caragea, Anna Cinzia Squicciarini, Andrea H. Tapia:
Twitter Mining for Disaster Response: A Domain Adaptation Approach. ISCRAM 2015 - [c66]Rohit Parimi, Doina Caragea:
Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains. MOD 2015: 80-92 - [e1]Cornelia Caragea, C. Lee Giles, Narayan L. Bhamidipati, Doina Caragea, Sujatha Das Gollapalli, Saurabh Kataria, Huan Liu, Feng Xia:
Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Technical Report WS-15-13, AAAI Press 2015 [contents] - 2014
- [c65]Karthik Tangirala, Doina Caragea:
Community detection-based features for sequence classification. BCB 2014: 559-568 - [c64]Ana Stanescu, Doina Caragea:
Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets. BIBM 2014: 432-437 - [c63]Nic Herndon, Karthik Tangirala, Doina Caragea:
Predicting protein localization using a domain adaptation na¨ıve Bayes classifier with burrows wheeler transform features. BIBM 2014: 501-504 - [c62]Nic Herndon, Doina Caragea:
Empirical Study of Domain Adaptation with Naïve Bayes on the Task of Splice Site Prediction. BIOINFORMATICS 2014: 57-67 - [c61]Nic Herndon, Doina Caragea:
Empirical Study of Domain Adaptation Algorithms on the Task of Splice Site Prediction. BIOSTEC (Selected Papers) 2014: 195-211 - [c60]Karthik Tangirala, Doina Caragea:
Generating Features using Burrows Wheeler Transformation for Biological Sequence Classification. BIOINFORMATICS 2014: 196-203 - [c59]Rohit Parimi, Doina Caragea:
Community Detection on Large Graph Datasets for Recommender Systems. ICDM Workshops 2014: 589-596 - 2013
- [c58]Nic Herndon, Doina Caragea:
Naïve Bayes Domain Adaptation for Biological Sequences. BIOINFORMATICS 2013: 62-70 - [c57]Nic Herndon, Doina Caragea:
Predicting Protein Localization Using a Domain Adaptation Approach. BIOSTEC (Selected Papers) 2013: 191-206 - [c56]Srilaxmi Cheeti, Ana Stanescu, Doina Caragea:
Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees. KDIR/KMIS 2013: 169-176 - [c55]Karthik Tangirala, Doina Caragea:
Extraction of gene regulatory networks from biological literature. ICCABS 2013: 1-6 - [c54]Loai Zomlot, Sathya Chandran Sundaramurthy, Doina Caragea, Xinming Ou:
Aiding Intrusion Analysis Using Machine Learning. ICMLA (2) 2013: 40-47 - [c53]Rohit Parimi, Doina Caragea:
Pre-release Box-Office Success Prediction for Motion Pictures. MLDM 2013: 571-585 - [c52]Ana Stanescu, Swapnil Nagar, Doina Caragea:
A Hybrid Recommender System: User Profiling from Keywords and Ratings. Web Intelligence 2013: 73-80 - [c51]Rohit Parimi, Doina Caragea, Dale Wunderlich:
Economic Development through Business Profiling: A Text Analysis Based Approach. Web Intelligence 2013: 315-320 - [i1]Wesam Elshamy, Doina Caragea, William H. Hsu:
KSU KDD: Word Sense Induction by Clustering in Topic Space. CoRR abs/1302.7056 (2013) - 2012
- [c50]Ana Stanescu, Doina Caragea:
Semi-supervised Learning of Alternatively Spliced Exons using Expectation Maximization Type Approaches. BIOINFORMATICS 2012: 240-245 - 2011
- [c49]Vishal Bahirwani, Doina Caragea:
Study on regulatory motifs in Arabidopsis thaliana. BCB 2011: 553-555 - [c48]Karthik Tangirala, Doina Caragea:
Semi-supervised Learning of Alternatively Spliced Exons Using Co-training. BIBM 2011: 243-246 - [c47]Su Zhang, Doina Caragea, Xinming Ou:
An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities. DEXA (1) 2011: 217-231 - [c46]Rohit Parimi, Doina Caragea:
Predicting Friendship Links in Social Networks Using a Topic Modeling Approach. PAKDD (2) 2011: 75-86 - [c45]Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra:
Classifying Scientific Publications Using Abstract Features. SARA 2011 - 2010
- [j4]Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. BMC Bioinform. 11(S-8): S6 (2010) - [j3]Jing Xia, Doina Caragea, Susan J. Brown:
Prediction of alternatively spliced exons using Support Vector Machines. Int. J. Data Min. Bioinform. 4(4): 411-430 (2010) - [j2]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:
BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum. Nucleic Acids Res. 38(Database-Issue): 437-442 (2010) - [c44]Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar:
Semi-supervised sequence classification using abstraction augmented Markov models. BCB 2010: 257-264 - [c43]Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar:
Abstraction Augmented Markov Models. ICDM 2010: 68-77 - [c42]Wesam Elshamy, Doina Caragea, William H. Hsu:
KSU KDD: Word Sense Induction by Clustering in Topic Space. SemEval@ACL 2010: 367-370 - [c41]Svitlana Volkova, Doina Caragea, William H. Hsu, John Drouhard, Landon Fowles:
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. Web Intelligence 2010: 272-278
2000 – 2009
- 2009
- [c40]Waleed Aljandal, Vikas Bahirwani, Doina Caragea, William H. Hsu:
Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks. AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0 2009: 3-8 - [c39]Swarnim Kulkarni, Doina Caragea:
Computation of the Semantic Relatedness between Words using Concept Clouds. KDIR 2009: 183-188 - [c38]Jing Xia, Doina Caragea, William H. Hsu:
Bi-relational Network Analysis Using a Fast Random Walk with Restart. ICDM 2009: 1052-1057 - [c37]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Link-Based Classifiers from Ontology-Extended Textual Data. ICTAI 2009: 354-361 - [c36]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. OTM Conferences (2) 2009: 1139-1146 - [c35]Mandar Haridas, Doina Caragea:
Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications. OTM Conferences (2) 2009: 1238-1245 - [c34]Doina Caragea, Vikas Bahirwani, Waleed Aljandal, William H. Hsu:
Ontology-Based Link Prediction in the LiveJournal Social Network. SARA 2009 - [c33]Swarnim Kulkarni, Doina Caragea:
Towards Bridging the Web and the Semantic Web. Web Intelligence 2009: 667-674 - [r1]Doina Caragea, Vasant G. Honavar:
Knowledge Acquisition from Semantically Heterogeneous Data. Encyclopedia of Data Warehousing and Mining 2009: 1110-1116 - 2008
- [c32]Vasant G. Honavar, Doina Caragea:
Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition. AAAI Spring Symposium: Semantic Scientific Knowledge Integration 2008: 29-35 - [c31]Jing Xia, Doina Caragea, Susan J. Brown:
Exploring Alternative Splicing Features Using Support Vector Machines. BIBM 2008: 231-238 - [c30]Scott J. Harmon, Scott A. DeLoach, Robby, Doina Caragea:
Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems. SASO 2008: 223-232 - [c29]Neeraj Koul, Cornelia Caragea, Vasant G. Honavar, Vikas Bahirwani, Doina Caragea:
Learning Classifiers from Large Databases Using Statistical Queries. Web Intelligence 2008: 923-926 - [p2]Vasant G. Honavar, Doina Caragea:
Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data. Next Generation of Data Mining 2008 - [p1]Doina Caragea, Dianne Cook, Hadley Wickham, Vasant G. Honavar:
Visual Methods for Examining SVM Classifiers. Visual Data Mining 2008: 136-153 - 2007
- [c28]Martin S. R. Paradesi, Doina Caragea, William H. Hsu:
Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE 2007: 1270-1274 - 2006
- [c27]Doina Caragea, Jie Bao, Vasant G. Honavar:
A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources. AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition 2006: 1-8 - [c26]Jie Bao, Doina Caragea, Vasant G. Honavar:
Modular Ontologies - A Formal Investigation of Semantics and Expressivity. ASWC 2006: 616-631 - [c25]Jie Bao, Doina Caragea, Vasant G. Honavar:
Towards Collaborative Environments for Ontology Construction and Sharing. CTS 2006: 99-108 - [c24]Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant G. Honavar:
Learning Classifiers from Distributed, Ontology-Extended Data Sources. DaWaK 2006: 363-373 - [c23]Jie Bao, Zhiliang Hu, Doina Caragea, James M. Reecy, Vasant G. Honavar:
A Tool for Collaborative Construction of Large Biological Ontologies. DEXA Workshops 2006: 191-195 - [c22]Jie Bao, Doina Caragea, Vasant G. Honavar:
On the Semantics of Linking and Importing in Modular Ontologies. ISWC 2006: 72-86 - [c21]Jie Bao, Doina Caragea, Vasant G. Honavar:
Package-Based Description Logics - Preliminary Results. ISWC 2006: 967-969 - [c20]Jie Bao, Doina Caragea, Vasant G. Honavar:
A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. Web Intelligence 2006: 404-410 - 2005
- [c19]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Support Vector Machines from Distributed Data Sources. AAAI 2005: 1602-1603 - [c18]Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar:
Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. ALT 2005: 13-44 - [c17]Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar:
Information Integration from Semantically Heterogeneous Biological Data Sources. DEXA Workshops 2005: 580-584 - [c16]Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar:
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. DILS 2005: 175-190 - [c15]Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar:
Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. Discovery Science 2005: 14 - [c14]Jun Zhang, Doina Caragea, Vasant G. Honavar:
Learning Ontology-Aware Classifiers. Discovery Science 2005: 308-321 - [c13]Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant G. Honavar:
A framework for semantic web services discovery. WIDM 2005: 45-50 - 2004
- [j1]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Int. J. Hybrid Intell. Syst. 1(2): 80-89 (2004) - [c12]Doina Caragea, Jyotishman Pathak, Vasant G. Honavar:
Learning Classifiers from Semantically Heterogeneous Data. CoopIS/DOA/ODBASE (2) 2004: 963-980 - [c11]Jyotishman Pathak, Doina Caragea, Vasant G. Honavar:
Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. SWDB 2004: 41-56 - [c10]Doina Caragea, Tanveer Fathima Syeda-Mahmood:
Semantic api matching for automatic service composition. WWW (Alternate Track Papers & Posters) 2004: 436-437 - 2003
- [c9]Doina Caragea, Dianne Cook, Vasant G. Honavar:
Towards Simple, Easy-to-Understand, yet Accurate Classifiers. ICDM 2003: 497-500 - [c8]Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar:
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. IIWeb 2003: 99-104 - [c7]Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar:
Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. IRI 2003: 183-191 - [c6]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Learning Decision Trees form Distributed Heterogeneous Autonomous Data. MAICS 2003: 10-17 - 2002
- [c5]Doina Caragea:
Learning in Open-Ended Dynamic Distributed Environments. AAAI/IAAI 2002: 980 - 2001
- [c4]Doina Caragea, Dianne Cook, Vasant G. Honavar:
Gaining insights into support vector machine pattern classifiers using projection-based tour methods. KDD 2001: 251-256 - [c3]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Emergent Neural Computational Architectures Based on Neuroscience 2001: 547-559 - 2000
- [c2]Doina Caragea, Adrian Silvescu, Vasant G. Honavar:
Incremental and Distributed Learning with Support Vector Machines. AAAI/IAAI 2000: 1067
1990 – 1999
- 1997
- [c1]Alexandru Agapie, Doina Caragea:
Genetic Algorithms, Schemata Construction and Statistics. Fuzzy Days 1997: 16-23
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-09-26 01:58 CEST by the dblp team
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