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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 - [i7]Guojun Liu, Doina Caragea, Xinming Ou, Sankardas Roy:
The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection. CoRR abs/2410.19364 (2024) - 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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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-24 18:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
