| Predicted Effector Molecules in the Salivary Secretome of the Pea Aphid (Acyrthosiphon pisum): A Dual Transcriptomic/Proteomic Approach JC Carolan, D Caragea, KT Reardon, NS Mutti, N Dittmer, K Pappan, ... Journal of proteome research 10 (4), 1505-1518, 2011 | 260 | 2011 |
| An empirical study on using the national vulnerability database to predict software vulnerabilities S Zhang, D Caragea, X Ou Database and Expert Systems Applications: 22nd International Conference …, 2011 | 233 | 2011 |
| Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions M Imran, F Ofli, D Caragea, A Torralba Information Processing & Management 57 (5), 102261, 2020 | 204 | 2020 |
| A Massive Expansion of Effector Genes Underlies Gall-Formation in the Wheat Pest (Mayetiola destructor). CZLNEHCTRBJQSCRMWDWMNARBMBSKBKPBDCJCCMCMEBLFMFNGTGCJPGYHFHNHMHPILRJMJSNJAJJD ... Current biology 25 (5), 613-620, 0 | 196* | |
| A framework for semantic web services discovery J Pathak, N Koul, D Caragea, VG Honavar Proceedings of the 7th annual ACM international workshop on Web information …, 2005 | 171 | 2005 |
| BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum HS Kim, T Murphy, J Xia, D Caragea, Y Park, RW Beeman, MD Lorenzen, ... Nucleic acids research 38 (suppl_1), D437-D442, 2010 | 169 | 2010 |
| Disaster response aided by tweet classification with a domain adaptation approach H Li, D Caragea, C Caragea, N Herndon Journal of Contingencies and Crisis Management 26 (1), 16-27, 2018 | 155 | 2018 |
| Stance detection in COVID-19 tweets K Glandt, S Khanal, Y Li, D Caragea, C Caragea Proceedings of the 59th annual meeting of the association for computational …, 2021 | 144 | 2021 |
| A framework for learning from distributed data using sufficient statistics and its application to learning decision trees D Caragea, A Silvescu, V Honavar International Journal of Hybrid Intelligent Systems 1 (1-2), 80-89, 2004 | 119 | 2004 |
| Twitter Mining for Disaster Response: A Domain Adaptation Approach. H Li, N Guevara, N Herndon, D Caragea, K Neppalli, C Caragea, ... ISCRAM, 2015 | 111 | 2015 |
| Experimental study with real-world data for android app security analysis using machine learning S Roy, J DeLoach, Y Li, N Herndon, D Caragea, X Ou, VP Ranganath, ... Proceedings of the 31st Annual Computer Security Applications Conference, 81-90, 2015 | 109 | 2015 |
| Experimental study of fuzzy hashing in malware clustering analysis Y Li, SC Sundaramurthy, AG Bardas, X Ou, D Caragea, X Hu, J Jang 8th workshop on cyber security experimentation and test (cset 15), 2015 | 106 | 2015 |
| Predicting cyber risks through national vulnerability database S Zhang, X Ou, D Caragea Information Security Journal: A Global Perspective 24 (4-6), 194-206, 2015 | 90 | 2015 |
| On the semantics of linking and importing in modular ontologies J Bao, D Caragea, VG Honavar International Semantic Web Conference, 72-86, 2006 | 89 | 2006 |
| Localizing and quantifying damage in social media images X Li, D Caragea, H Zhang, M Imran 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 85 | 2018 |
| Information extraction and integration from heterogeneous, distributed, autonomous information sources-a federated ontology-driven query-centric approach JAR Castillo, A Silvescu, D Caragea, J Pathak, VG Honavar Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications …, 2003 | 83* | 2003 |
| Identifying disaster damage images using a domain adaptation approach X Li, D Caragea, C Caragea, M Imran, F Ofli Proceedings of the 16th International conference on information systems for …, 2019 | 69 | 2019 |
| Gaining insights into support vector machine pattern classifiers using projection-based tour methods D Caragea, D Cook, VG Honavar Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 69 | 2001 |
| Towards collaborative environments for ontology construction and sharing J Bao, D Caragea, V Honavar International Symposium on Collaborative Technologies and Systems (CTS'06 …, 2006 | 68 | 2006 |
| Deep neural networks versus naive bayes classifiers for identifying informative tweets during disasters VK Neppalli, C Caragea, D Caragea Proceedings of the 15th Annual Conference for Information Systems for Crisis …, 2018 | 67 | 2018 |
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