Genetic Algorithms, Schemata Construction and Statistics. - Alexandru Agapie; Doina Caragea (Fuzzy Days, 1997)

Incremental and Distributed Learning with Support Vector Machines. - Doina Caragea; Adrian Silvescu; Vasant G. Honavar (AAAI/IAAI, 2000)

Gaining insights into support vector machine pattern classifiers using projection-based tour methods. - Doina Caragea; Dianne Cook; Vasant G. Honavar (KDD, 2001)

Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. - Doina Caragea; Adrian Silvescu; Vasant G. Honavar (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Learning in Open-Ended Dynamic Distributed Environments. - Doina Caragea (AAAI/IAAI, 2002)

Towards Simple, Easy-to-Understand, yet Accurate Classifiers. - Doina Caragea; Dianne Cook; Vasant G. Honavar (ICDM, 2003)

Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. - Doina Caragea; Jaime Reinoso; Adrian Silvescu; Vasant G. Honavar (IIWeb, 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 (IRI, 2003)

Learning Decision Trees form Distributed Heterogeneous Autonomous Data. - Doina Caragea; Adrian Silvescu; Vasant G. Honavar (MAICS, 2003)

Learning Classifiers from Semantically Heterogeneous Data. - Doina Caragea; Jyotishman Pathak; Vasant G. Honavar (CoopIS/DOA/ODBASE (2), 2004)

Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. - Jyotishman Pathak; Doina Caragea; Vasant G. Honavar (SWDB, 2004)

Semantic api matching for automatic service composition. - Doina Caragea; Tanveer Fathima Syeda-Mahmood (WWW (Alternate Track Papers & Posters), 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)

Learning Support Vector Machines from Distributed Data Sources. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (AAAI, 2005)

Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. - Doina Caragea; Jun Zhang 002; Jie Bao 001; Jyotishman Pathak; Vasant G. Honavar (ALT, 2005)

Information Integration from Semantically Heterogeneous Biological Data Sources. - Doina Caragea; Jie Bao 001; Jyotishman Pathak; Adrian Silvescu; Carson M. Andorf; Drena Dobbs; Vasant G. Honavar (DEXA Workshops, 2005)

Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. - Doina Caragea; Jyotishman Pathak; Jie Bao 001; Adrian Silvescu; Carson M. Andorf; Drena Dobbs; Vasant G. Honavar (DILS, 2005)

Learning Ontology-Aware Classifiers. - Jun Zhang 002; Doina Caragea; Vasant G. Honavar (Discovery Science, 2005)

A framework for semantic web services discovery. - Jyotishman Pathak; Neeraj Koul; Doina Caragea; Vasant G. Honavar (WIDM, 2005)

A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources. - Doina Caragea; Jie Bao 001; Vasant G. Honavar (AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition, 2006)

Modular Ontologies - A Formal Investigation of Semantics and Expressivity. - Jie Bao 001; Doina Caragea; Vasant G. Honavar (ASWC, 2006)

Towards Collaborative Environments for Ontology Construction and Sharing. - Jie Bao 001; Doina Caragea; Vasant G. Honavar (CTS, 2006)

Learning Classifiers from Distributed, Ontology-Extended Data Sources. - Doina Caragea; Jun Zhang 002; Jyotishman Pathak; Vasant G. Honavar (DaWaK, 2006)

A Tool for Collaborative Construction of Large Biological Ontologies. - Jie Bao 001; Zhiliang Hu; Doina Caragea; James M. Reecy; Vasant G. Honavar (DEXA Workshops, 2006)

On the Semantics of Linking and Importing in Modular Ontologies. - Jie Bao 001; Doina Caragea; Vasant G. Honavar (ISWC, 2006)

Package-Based Description Logics - Preliminary Results. - Jie Bao 001; Doina Caragea; Vasant G. Honavar (ISWC, 2006)

A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. - Jie Bao 001; Doina Caragea; Vasant G. Honavar (Web Intelligence, 2006)

Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. - Martin S. R. Paradesi; Doina Caragea; William H. Hsu (BIBE, 2007)

Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data. - Vasant G. Honavar; Doina Caragea (Next Generation of Data Mining, 2008)

Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition. - Vasant G. Honavar; Doina Caragea (AAAI Spring Symposium: Semantic Scientific Knowledge Integration, 2008)

Exploring Alternative Splicing Features Using Support Vector Machines. - Jing Xia; Doina Caragea; Susan J. Brown (BIBM, 2008)

Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems. - Scott J. Harmon; Scott A. DeLoach; Robby; Doina Caragea (SASO, 2008)

Learning Classifiers from Large Databases Using Statistical Queries. - Neeraj Koul; Cornelia Caragea; Vasant G. Honavar; Vikas Bahirwani; Doina Caragea (Web Intelligence, 2008)

Visual Methods for Examining SVM Classifiers. - Doina Caragea; Dianne Cook; Hadley Wickham; Vasant G. Honavar (Visual Data Mining, 2008)

Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks. - Waleed Aljandal; Vikas Bahirwani; Doina Caragea; William H. Hsu (AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0, 2009)

Computation of the Semantic Relatedness between Words using Concept Clouds. - Swarnim Kulkarni; Doina Caragea (KDIR, 2009)

Bi-relational Network Analysis Using a Fast Random Walk with Restart. - Jing Xia; Doina Caragea; William H. Hsu (ICDM, 2009)

Learning Link-Based Classifiers from Ontology-Extended Textual Data. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (ICTAI, 2009)

Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. - Cornelia Caragea; Doina Caragea; Vasant G. Honavar (OTM Conferences (2), 2009)

Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications. - Mandar Haridas; Doina Caragea (OTM Conferences (2), 2009)

Ontology-Based Link Prediction in the LiveJournal Social Network. - Doina Caragea; Vikas Bahirwani; Waleed Aljandal; William H. Hsu (SARA, 2009)

Towards Bridging the Web and the Semantic Web. - Swarnim Kulkarni; Doina Caragea (Web Intelligence, 2009)

Knowledge Acquisition from Semantically Heterogeneous Data. - Doina Caragea; Vasant G. Honavar (Encyclopedia of Data Warehousing and Mining, 2009)

Semi-supervised sequence classification using abstraction augmented Markov models. - Cornelia Caragea; Adrian Silvescu; Doina Caragea; Vasant G. Honavar (BCB, 2010)

Abstraction Augmented Markov Models. - Cornelia Caragea; Adrian Silvescu; Doina Caragea; Vasant G. Honavar (ICDM, 2010)

KSU KDD: Word Sense Induction by Clustering in Topic Space. - Wesam Elshamy; Doina Caragea; William H. Hsu (SemEval@ACL, 2010)

Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery. - Svitlana Volkova; Doina Caragea; William H. Hsu; John Drouhard; Landon Fowles (Web Intelligence, 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)

Prediction of alternatively spliced exons using Support Vector Machines. - Jing Xia; Doina Caragea; Susan J. Brown (Int. J. Data Min. Bioinform., 2010)

BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum. - 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)

Study on regulatory motifs in Arabidopsis thaliana. - Vishal Bahirwani; Doina Caragea (BCB, 2011)

Semi-supervised Learning of Alternatively Spliced Exons Using Co-training. - Karthik Tangirala; Doina Caragea (BIBM, 2011)

An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities. - Su Zhang; Doina Caragea; Xinming Ou (DEXA (1), 2011)

Predicting Friendship Links in Social Networks Using a Topic Modeling Approach. - Rohit Parimi; Doina Caragea (PAKDD (2), 2011)

Classifying Scientific Publications Using Abstract Features. - Cornelia Caragea; Adrian Silvescu; Saurabh Kataria 003; Doina Caragea; Prasenjit Mitra (SARA, 2011)

Semi-supervised Learning of Alternatively Spliced Exons using Expectation Maximization Type Approaches. - Ana Stanescu 001; Doina Caragea (BIOINFORMATICS, 2012)

Naïve Bayes Domain Adaptation for Biological Sequences. - Nic Herndon; Doina Caragea (BIOINFORMATICS, 2013)

Predicting Protein Localization Using a Domain Adaptation Approach. - Nic Herndon; Doina Caragea (BIOSTEC (Selected Papers), 2013)

Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees. - Srilaxmi Cheeti; Ana Stanescu 001; Doina Caragea (KDIR/KMIS, 2013)

Extraction of gene regulatory networks from biological literature. - Karthik Tangirala; Doina Caragea (ICCABS, 2013)

Aiding Intrusion Analysis Using Machine Learning. - Loai Zomlot; Sathya Chandran Sundaramurthy; Doina Caragea; Xinming Ou (ICMLA (2), 2013)

Pre-release Box-Office Success Prediction for Motion Pictures. - Rohit Parimi; Doina Caragea (MLDM, 2013)

Economic Development through Business Profiling: A Text Analysis Based Approach. - Rohit Parimi; Doina Caragea; Dale Wunderlich (Web Intelligence, 2013)

A Hybrid Recommender System: User Profiling from Keywords and Ratings. - Ana Stanescu 001; Swapnil Nagar; Doina Caragea (Web Intelligence, 2013)

Community detection-based features for sequence classification. - Karthik Tangirala; Doina Caragea (BCB, 2014)

Ensemble-based semi-supervised learning approaches for imbalanced splice site datasets. - Ana Stanescu 001; Doina Caragea (BIBM, 2014)

Predicting protein localization using a domain adaptation na¨ıve Bayes classifier with burrows wheeler transform features. - Nic Herndon; Karthik Tangirala; Doina Caragea (BIBM, 2014)

Empirical Study of Domain Adaptation with Naïve Bayes on the Task of Splice Site Prediction. - Nic Herndon; Doina Caragea (BIOINFORMATICS, 2014)

Empirical Study of Domain Adaptation Algorithms on the Task of Splice Site Prediction. - Nic Herndon; Doina Caragea (BIOSTEC (Selected Papers), 2014)

Generating Features using Burrows Wheeler Transformation for Biological Sequence Classification. - Karthik Tangirala; Doina Caragea (BIOINFORMATICS, 2014)

Community Detection on Large Graph Datasets for Recommender Systems. - Rohit Parimi; Doina Caragea (ICDM Workshops, 2014)

Leveraging Multiple Networks for Author Personalization. - Rohit Parimi; Doina Caragea (AAAI Workshop: Scholarly Big Data, 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 001; Nicolais Guevara (ACSAC, 2015)

An Evaluation of Self-training Styles for Domain Adaptation on the Task of Splice Site Prediction. - Nic Herndon; Doina Caragea (ASONAM, 2015)

How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization. - Rohit Parimi; Toma Trepka; Doina Caragea; Cody Bennett (BigData Congress, 2015)

Predicting cassette exons using transductive learning approaches. - Ana Stanescu 001; Doina Caragea (CIBCB, 2015)

Domain Adaptation with Logistic Regression for the Task of Splice Site Prediction. - Nic Herndon; Doina Caragea (ISBRA, 2015)

Community Detection-Based Feature Construction for Protein Sequence Classification. - Karthik Tangirala; Nic Herndon; Doina Caragea (ISBRA, 2015)

Twitter Mining for Disaster Response: A Domain Adaptation Approach. - Hongmin Li 001; Nicolais Guevara; Nic Herndon; Doina Caragea; Kishore Neppalli; Cornelia Caragea; Anna Cinzia Squicciarini; Andrea H. Tapia (ISCRAM, 2015)

Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains. - Rohit Parimi; Doina Caragea (MOD, 2015)

Predicting Cyber Risks through National Vulnerability Database. - Su Zhang; Xinming Ou; Doina Caragea (Inf. Secur. J. A Glob. Perspect., 2015)

Study of transductive learning and unsupervised feature construction methods for biological sequence classification. - Ana Stanescu 001; Karthik Tangirala; Doina Caragea (ASONAM, 2016)

Ab initio Splice Site Prediction with Simple Domain Adaptation Classifiers. - Nic Herndon; Doina Caragea (BIOINFORMATICS, 2016)

Retweetability Analysis and Prediction during Hurricane Sandy. - Venkata Kishore Neppalli; Murilo Cerqueira Medeiros; Cornelia Caragea; Doina Caragea; Andrea H. Tapia; Shane E. Halse (ISCRAM, 2016)

Predicting alternatively spliced exons using semi-supervised learning. - Ana Stanescu 001; Karthik Tangirala; Doina Caragea (Int. J. Data Min. 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)

An evaluation of approaches for using unlabeled data with domain adaptation. - Nic Herndon; Doina Caragea (Netw. Model. Anal. Health Informatics Bioinform., 2016)

Android Malware Detection with Weak Ground Truth Data. - Jordan DeLoach; Doina Caragea; Xinming Ou (AAAI, 2017)

Twitter-enhanced Android malware detection. - Jordan DeLoach; Doina Caragea (IEEE BigData, 2017)

Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster. - Hongmin Li 001; Doina Caragea; Cornelia Caragea (ISCRAM, 2017)

An empirical study of self-training and data balancing techniques for splice site prediction. - Ana Stanescu 001; Doina Caragea (Int. J. Bioinform. Res. Appl., 2017)

Localizing and Quantifying Damage in Social Media Images. - Xukun Li; Doina Caragea; Huaiyu Zhang; Muhammad Imran 002 (ASONAM, 2018)

Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. - Reza Mazloom; HongMin Li 001; Doina Caragea; Muhammad Imran 002; Cornelia Caragea (ISCRAM, 2018)

Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters. - Venkata Kishore Neppalli; Cornelia Caragea; Doina Caragea (ISCRAM, 2018)

Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training. - Hongmin Li 001; Oleksandra Sopova; Doina Caragea; Cornelia Caragea (Int. J. Inf. Syst. Crisis Response Manag., 2018)

Identifying Android Malware Using Network-Based Approaches. - Emily Alfs; Doina Caragea; Nathan Albin; Pietro Poggi-Corradini (AAAI, 2019)

Identifying Android malware using network-based approaches. - Emily Alfs; Doina Caragea; Dewan Chaulagain; Sankardas Roy; Nathan Albin; Pietro Poggi-Corradini (ASONAM, 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 (ISCRAM, 2019)

Identifying Disaster Damage Images Using a Domain Adaptation Approach. - Xukun Li; Doina Caragea; Cornelia Caragea; Muhammad Imran 002; Ferda Ofli (ISCRAM, 2019)

Sympathy Detection in Disaster Twitter Data. - Yingjie Li 008; Seoyeon Park; Cornelia Caragea; Doina Caragea; Andrea H. Tapia (ISCRAM, 2019)

Classification of eyewitness tweets in emergency situations. - Ioana Stefan; Traian Rebedea; Doina Caragea (RoCHI, 2019)

Keyphrase Extraction from Disaster-related Tweets. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (WWW, 2019)

A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets. - Reza Mazloom; Hongmin Li 001; Doina Caragea; Cornelia Caragea; Muhammad Imran 002 (Int. J. Inf. Syst. Crisis Response Manag., 2019)

Localizing and quantifying infrastructure damage using class activation mapping approaches. - Xukun Li; Doina Caragea; Huaiyu Zhang; Muhammad Imran 002 (Soc. Netw. Anal. Min., 2019)

On Identifying Hashtags in Disaster Twitter Data. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (AAAI, 2020)

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. - Jishnu Ray Chowdhury; Cornelia Caragea; Doina Caragea (ACL (student), 2020)

Identifying FinTech Innovations Using BERT. - Doina Caragea; Mark Chen; Theodor Cojoianu; Mihai Dobri; Kyle Glandt; George Mihaila (IEEE BigData, 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 (CNS, 2020)

Improving Disaster-related Tweet Classification with a Multimodal Approach. - Xukun Li; Doina Caragea (ISCRAM, 2020)

Abstractive Text Summarization of Disaster-Related Documents. - Nasik Muhammad Nafi; Avishek Bose; Sarthak Khanal; Doina Caragea; William H. Hsu (ISCRAM, 2020)

Domain Adaptation with Reconstruction for Disaster Tweet Classification. - Xukun Li; Doina Caragea (SIGIR, 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)

Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. - Muhammad Imran 002; Ferda Ofli; Doina Caragea; Antonio Torralba 001 (Inf. Process. Manag., 2020)

Author Homepage Discovery in CiteSeerX. - Krutarth Patel; Cornelia Caragea; Doina Caragea; C. Lee Giles (AAAI, 2021)

Stance Detection in COVID-19 Tweets. - Kyle Glandt; Sarthak Khanal; Yingjie Li 008; Doina Caragea; Cornelia Caragea (ACL/IJCNLP (1), 2021)

Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event. - Sarthak Khanal; Doina Caragea (EMNLP (Findings), 2021)

Disaster Image Classification Using Capsule Networks. - Soudabeh Taghian Dinani; Doina Caragea (IJCNN, 2021)

Combining Self-training with Deep Learning for Disaster Tweet Classification. - Hongmin Li 001; Doina Caragea; Cornelia Caragea (ISCRAM, 2021)

Using the Image-Text Relationship to Improve Multimodal Disaster Tweet Classification. - Tiberiu Sosea; Iustin Sirbu; Cornelia Caragea; Doina Caragea; Traian Rebedea (ISCRAM, 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 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Cross-Domain Attentive Sequential Recommendations based on General and Current User Preferences (CD-ASR). - Nawaf Alharbi; Doina Caragea (WI/IAT, 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)

Multimodal Semi-supervised Learning for Disaster Tweet Classification. - Iustin Sirbu; Tiberiu Sosea; Cornelia Caragea; Doina Caragea; Traian Rebedea (COLING, 2022)

Using Deep Learning to Improve Detection and Decoding Of Barcodes. - Chaoxin Wang; Nicolais Guevara; Doina Caragea (ICIP, 2022)

Identification of Fine-Grained Location Mentions in Crisis Tweets. - Sarthak Khanal; Maria Traskowsky; Doina Caragea (LREC, 2022)

A Comparison Study for Disaster Tweet Classification Using Deep Learning Models. - Soudabeh Taghian Dinani; Doina Caragea (DATA, 2023)

Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. - Soudabeh Taghian Dinani; Doina Caragea (DSAA, 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 (IWCTS@SIGSPATIAL, 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 (WWW, 2023)

CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. - Henry Peng Zou; Yue Zhou; Cornelia Caragea; Doina Caragea (CoRR, 2023)

GunStance: Stance Detection for Gun Control and Gun Regulation. - Nikesh Gyawali; Iustin Sirbu; Tiberiu Sosea; Sarthak Khanal; Doina Caragea; Traian Rebedea; Cornelia Caragea (ACL (1), 2024)

Predicting Surface Water Bacteria Levels Using Transfer Learning and Domain Adaptation. - Ali Elahi; David Shumway; Megan Kowalcyk; Abhilasha Shrestha; Nikita Gautam; Doina Caragea; Cornelia Caragea; Samuel Dorevitch (IEEE Big Data, 2024)

Contrastive Learning for Multimodal Classification of Crisis related Tweets. - Bishwas Mandal; Sarthak Khanal; Doina Caragea (WWW, 2024)

The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection. - Guojun Liu; Doina Caragea; Xinming Ou; Sankardas Roy (CoRR, 2024)

A MISMATCHED Benchmark for Scientific Natural Language Inference. - Firoz Shaik; Mobashir Sadat; Nikita Gautam; Doina Caragea; Cornelia Caragea (ACL (Findings), 2025)

FusionESP: Improved Enzyme-Substrate Pair Prediction by Fusing Protein and Chemical Knowledge. - Zhenjiao Du; Weimin Fu; Xiaolong Guo; Doina Caragea; Yonghui Li (J. Chem. Inf. Model., 2025)

Benchmarking Android Malware Detection: Rethinking the Role of Traditional and Deep Learning Models. - Guojun Liu; Doina Caragea; Xinming Ou; Sankardas Roy (CoRR, 2025)