| 2025 | ACL | A MISMATCHED Benchmark for Scientific Natural Language Inference. | Firoz Shaik, Mobashir Sadat, Nikita Gautam, Doina Caragea, Cornelia Caragea |
| 2025 | DSAA | Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models. | Nikita Gautam, Bipin Paudel, Doina Caragea, Cornelia Caragea |
| 2025 | ICTAI | AutoPK: Leveraging LLMs and a Hybrid Similarity Metric for Advanced Retrieval of Pharmacokinetic Data From Complex Tables and Documents. | Hossein Sholehrasa, Amirhossein Ghanaatian, Doina Caragea, Lisa Ann Tell, Jim Edmond S. Riviere, Majid Jaberi Douraki |
| 2024 | ACL | GunStance: Stance Detection for Gun Control and Gun Regulation. | Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea |
| 2024 | WWW | Contrastive Learning for Multimodal Classification of Crisis related Tweets. | Bishwas Mandal, Sarthak Khanal, Doina Caragea |
| 2023 | DATA | A Comparison Study for Disaster Tweet Classification Using Deep Learning Models. | Soudabeh Taghian Dinani, Doina Caragea |
| 2023 | DSAA | Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. | Soudabeh Taghian Dinani, Doina Caragea |
| 2023 | WWW | 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 |
| 2022 | COLING | Multimodal Semi-supervised Learning for Disaster Tweet Classification. | Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea |
| 2022 | ICIP | Using Deep Learning to Improve Detection and Decoding Of Barcodes. | Chaoxin Wang, Nicolais Guevara, Doina Caragea |
| 2022 | LREC | Identification of Fine-Grained Location Mentions in Crisis Tweets. | Sarthak Khanal, Maria Traskowsky, Doina Caragea |
| 2021 | AAAI | Author Homepage Discovery in CiteSeerX. | Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles |
| 2021 | ACL | Stance Detection in COVID-19 Tweets. | Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea |
| 2021 | EMNLP | Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event. | Sarthak Khanal, Doina Caragea |
| 2021 | IJCNN | Disaster Image Classification Using Capsule Networks. | Soudabeh Taghian Dinani, Doina Caragea |
| 2021 | ISPA | 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 |
| 2020 | AAAI | On Identifying Hashtags in Disaster Twitter Data. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2020 | ACL | Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2020 | SIGIR | Domain Adaptation with Reconstruction for Disaster Tweet Classification. | Xukun Li, Doina Caragea |
| 2019 | AAAI | Identifying Android Malware Using Network-Based Approaches. | Emily Alfs, Doina Caragea, Nathan Albin, Pietro Poggi-Corradini |
| 2019 | WWW | Keyphrase Extraction from Disaster-related Tweets. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2017 | AAAI | Android Malware Detection with Weak Ground Truth Data. | Jordan DeLoach, Doina Caragea, Xinming Ou |
| 2015 | AAAI | Leveraging Multiple Networks for Author Personalization. | Rohit Parimi, Doina Caragea |
| 2015 | ACSAC | 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 |
| 2015 | BigData | How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization. | Rohit Parimi, Toma Trepka, Doina Caragea, Cody Bennett |
| 2015 | CIBCB | Predicting cassette exons using transductive learning approaches. | Ana Stanescu, Doina Caragea |
| 2014 | ICDM | Community Detection on Large Graph Datasets for Recommender Systems. | Rohit Parimi, Doina Caragea |
| 2013 | IC3K | Cross-domain Sentiment Classification using an Adapted Nave Bayes Approach and Features Derived from Syntax Trees. | Srilaxmi Cheeti, Ana Stanescu, Doina Caragea |
| 2013 | ICMLA | Aiding Intrusion Analysis Using Machine Learning. | Loai Zomlot, Sathya Chandran Sundaramurthy, Doina Caragea, Xinming Ou |
| 2011 | DEXA | An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities. | Su Zhang, Doina Caragea, Xinming Ou |
| 2011 | PAKDD | Predicting Friendship Links in Social Networks Using a Topic Modeling Approach. | Rohit Parimi, Doina Caragea |
| 2010 | ICDM | Abstraction Augmented Markov Models. | Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar |
| 2009 | IC3K | Computation of the Semantic Relatedness between Words using Concept Clouds. | Swarnim Kulkarni, Doina Caragea |
| 2009 | ICDM | Bi-relational Network Analysis Using a Fast Random Walk with Restart. | Jing Xia, Doina Caragea, William H. Hsu |
| 2009 | ICTAI | Learning Link-Based Classifiers from Ontology-Extended Textual Data. | Cornelia Caragea, Doina Caragea, Vasant G. Honavar |
| 2007 | BIBE | Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. | Martin S. R. Paradesi, Doina Caragea, William H. Hsu |
| 2006 | DaWaK | Learning Classifiers from Distributed, Ontology-Extended Data Sources. | Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant G. Honavar |
| 2005 | AAAI | Learning Support Vector Machines from Distributed Data Sources. | Cornelia Caragea, Doina Caragea, Vasant G. Honavar |
| 2005 | ALT | Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. | Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar |
| 2005 | DIS | Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. | Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar |
| 2005 | DIS | Learning Ontology-Aware Classifiers. | Jun Zhang, Doina Caragea, Vasant G. Honavar |
| 2004 | CoopIS | Learning Classifiers from Semantically Heterogeneous Data. | Doina Caragea, Jyotishman Pathak, Vasant G. Honavar |
| 2004 | WWW | Semantic api matching for automatic service composition. | Doina Caragea, Tanveer Fathima Syeda-Mahmood |
| 2003 | ICDM | Towards Simple, Easy-to-Understand, yet Accurate Classifiers. | Doina Caragea, Dianne Cook, Vasant G. Honavar |
| 2003 | IJCAI | Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. | Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar |
| 2003 | IRI | 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 |
| 2002 | AAAI | Learning in Open-Ended Dynamic Distributed Environments. | Doina Caragea |
| 2001 | KDD | Gaining insights into support vector machine pattern classifiers using projection-based tour methods. | Doina Caragea, Dianne Cook, Vasant G. Honavar |
| 2000 | AAAI | Incremental and Distributed Learning with Support Vector Machines. | Doina Caragea, Adrian Silvescu, Vasant G. Honavar |