| 2026 | AAAI | On the Calibration of Image Semi-Supervised Learning Models. | Mehrab Mustafy Rahman, Jayanth Mohan, Tiberiu Sosea, Cornelia Caragea |
| 2026 | ACL | Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition. | Qi Zhang, Fangping Lan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2026 | ACL | StanceAttack: Adversarial Attack for Stance Detection. | Chenye Zhao, Cornelia Caragea |
| 2026 | EACL | MADIAVE: Multi-Agent Debate for Implicit Attribute Value Extraction. | Wei-Chieh Huang, Cornelia Caragea |
| 2026 | LREC | BLooP: Zero-Shot Abstractive Summarization Using Large Language Models with Bigram Lookahead Promotion. | Varun Iyer, Cornelia Caragea |
| 2025 | ACL | A MISMATCHED Benchmark for Scientific Natural Language Inference. | Firoz Shaik, Mobashir Sadat, Nikita Gautam, Doina Caragea, Cornelia Caragea |
| 2025 | ACL | Bilingual Zero-Shot Stance Detection. | Chenye Zhao, 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 | EMNLP | Model Calibration for Emotion Detection. | Mihaela Petre-Vlad, Cornelia Caragea, Florentina Hristea |
| 2025 | EMNLP | LLM-Guided Co-Training for Text Classification. | Md Mezbaur Rahman, Cornelia Caragea |
| 2025 | EMNLP | MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification. | Iustin Sirbu, Robert-Adrian Popovici, Cornelia Caragea, Stefan Trausan-Matu, Traian Rebedea |
| 2025 | ICTAI | Are LLMs Really Underperforming in Stance Detection? Identifying Patterns of Challenging Instances in Zero-Shot Stance Detection. | Alina Gheorghe, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea |
| 2025 | NAACL | Active Few-Shot Learning for Text Classification. | Saeed Ahmadnia, Arash Yousefi Jordehi, Mahsa Hosseini Khasheh Heyran, Seyed Abolghasem Mirroshandel, Owen Rambow, Cornelia Caragea |
| 2025 | NAACL | Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models. | Jishnu Ray Chowdhury, Jayanth Mohan, Toms Malk, Cornelia Caragea |
| 2025 | NAACL | Hard Emotion Test Evaluation Sets for Language Models. | Tiberiu Sosea, Cornelia Caragea |
| 2025 | NAACL | DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition. | Qi Zhang, Huitong Pan, Zhijia Chen, Longin Jan Latecki, Cornelia Caragea, Eduard C. Dragut |
| 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 | ACL | A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. | Eduard Gabriel Poesina, Cornelia Caragea, Radu Tudor Ionescu |
| 2024 | ACL | Co-training for Low Resource Scientific Natural Language Inference. | Mobashir Sadat, Cornelia Caragea |
| 2024 | ACL | EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection. | Chenye Zhao, Cornelia Caragea |
| 2024 | ACL | ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. | Chenye Zhao, Yingjie Li, Cornelia Caragea, Yue Zhang |
| 2024 | ACL | ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. | Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea |
| 2024 | COLING | SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. | Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard C. Dragut, Longin Jan Latecki |
| 2024 | COLING | Sarcasm Detection in a Disaster Context. | Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea |
| 2024 | ECAI | FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. | Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard C. Dragut, Longin Jan Latecki |
| 2024 | EMNLP | How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics. | Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea |
| 2024 | EMNLP | Stanceformer: Target-Aware Transformer for Stance Detection. | Krishna Garg, Cornelia Caragea |
| 2024 | EMNLP | VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp. | Seoyeon Park, Cornelia Caragea |
| 2024 | EMNLP | SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents. | Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2024 | NAACL | MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. | Mobashir Sadat, Cornelia Caragea |
| 2024 | NAACL | Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. | Smriti Singh, Cornelia Caragea, Junyi Jessy Li |
| 2024 | NAACL | EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. | Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea |
| 2023 | AAAI | Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. | Mahshid Hosseini, Cornelia Caragea |
| 2023 | AAAI | Label Smoothing for Emotion Detection (Student Abstract). | George Maratos, Tiberiu Sosea, Cornelia Caragea |
| 2023 | ACL | Towards Identifying Fine-Grained Depression Symptoms from Memes. | Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg, Tanmay Sharma |
| 2023 | ACL | Data Augmentation for Low-Resource Keyphrase Generation. | Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea |
| 2023 | ACL | Semi-Supervised Domain Adaptation for Emotion-Related Tasks. | Mahshid Hosseini, Cornelia Caragea |
| 2023 | ACL | Distilling Calibrated Knowledge for Stance Detection. | Yingjie Li, Cornelia Caragea |
| 2023 | ACL | A New Direction in Stance Detection: Target-Stance Extraction in the Wild. | Yingjie Li, Krishna Garg, Cornelia Caragea |
| 2023 | ACL | Unsupervised Extractive Summarization of Emotion Triggers. | Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea |
| 2023 | ACL | C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection. | Chenye Zhao, Yingjie Li, Cornelia Caragea |
| 2023 | CVPR | MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. | Tiberiu Sosea, Cornelia Caragea |
| 2023 | EACL | What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. | Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde |
| 2023 | EMNLP | Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. | Seo Park, Cornelia Caragea |
| 2023 | EMNLP | EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection. | Chenye Zhao, Cornelia Caragea |
| 2023 | EMNLP | JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. | Henry Peng Zou, Cornelia Caragea |
| 2023 | EMNLP | DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. | Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea |
| 2023 | ICML | Beam Tree Recursive Cells. | Jishnu Ray Chowdhury, Cornelia Caragea |
| 2023 | ICML | Monotonic Location Attention for Length Generalization. | Jishnu Ray Chowdhury, Cornelia Caragea |
| 2023 | WWW | Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. | Shweta Yadav, Stefan Cobeli, Cornelia 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 |
| 2023 | WWW | TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. | Yingjie Li, Chenye Zhao, Cornelia Caragea |
| 2022 | ACL | On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. | Seoyeon Park, Cornelia Caragea |
| 2022 | ACL | SciNLI: A Corpus for Natural Language Inference on Scientific Text. | Mobashir Sadat, Cornelia Caragea |
| 2022 | COLING | A New Public Corpus for Clinical Section Identification: MedSecId. | Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, Cornelia Caragea |
| 2022 | COLING | Multimodal Semi-supervised Learning for Disaster Tweet Classification. | Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea |
| 2022 | COLING | Towards Summarizing Healthcare Questions in Low-Resource Setting. | Shweta Yadav, Cornelia Caragea |
| 2022 | EMNLP | KPDROP: Improving Absent Keyphrase Generation. | Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, Cornelia Caragea |
| 2022 | EMNLP | Keyphrase Generation Beyond the Boundaries of Title and Abstract. | Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea |
| 2022 | EMNLP | Calibrating Student Models for Emotion-related Tasks. | Mahshid Hosseini, Cornelia Caragea |
| 2022 | EMNLP | Hierarchical Multi-Label Classification of Scientific Documents. | Mobashir Sadat, Cornelia Caragea |
| 2022 | EMNLP | Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. | Mobashir Sadat, Cornelia Caragea |
| 2022 | EMNLP | Leveraging Training Dynamics and Self-Training for Text Classification. | Tiberiu Sosea, Cornelia Caragea |
| 2022 | EMNLP | Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. | Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li |
| 2022 | ICWSM | PrivacyAlert: A Dataset for Image Privacy Prediction. | Chenye Zhao, Jasmine Mangat, Sujay Koujalgi, Anna Cinzia Squicciarini, Cornelia Caragea |
| 2022 | LREC | Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism. | Stefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, Dragos Iliescu |
| 2022 | LREC | EnsyNet: A Dataset for Encouragement and Sympathy Detection. | Tiberiu Sosea, Cornelia Caragea |
| 2022 | LREC | Emotion analysis and detection during COVID-19. | Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li |
| 2022 | NAACL | A Data Cartography based MixUp for Pre-trained Language Models. | Seoyeon Park, Cornelia Caragea |
| 2021 | AAAI | It Takes Two to Empathize: One to Seek and One to Provide. | Mahshid Hosseini, Cornelia 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 | ACL | A Multi-Task Learning Framework for Multi-Target Stance Detection. | Yingjie Li, Cornelia Caragea |
| 2021 | ACL | P-Stance: A Large Dataset for Stance Detection in Political Domain. | Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, Cornelia Caragea |
| 2021 | ACL | eMLM: A New Pre-training Objective for Emotion Related Tasks. | Tiberiu Sosea, Cornelia Caragea |
| 2021 | ACL | Studying the Evolution of Scientific Topics and their Relationships. | Ana Sabina Uban, Cornelia Caragea, Liviu P. Dinu |
| 2021 | EACL | Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. | Krutarth Patel, Cornelia Caragea |
| 2021 | EMNLP | Distilling Knowledge for Empathy Detection. | Mahshid Hosseini, Cornelia Caragea |
| 2021 | EMNLP | Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation. | Yingjie Li, Chenye Zhao, Cornelia Caragea |
| 2021 | ICML | Modeling Hierarchical Structures with Continuous Recursive Neural Networks. | Jishnu Ray Chowdhury, Cornelia Caragea |
| 2021 | NAACL | Target-Aware Data Augmentation for Stance Detection. | Yingjie Li, Cornelia Caragea |
| 2021 | NAACL | Identifying Medical Self-Disclosure in Online Communities. | Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde |
| 2021 | RANLP | Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction. | Chenye Zhao, Cornelia Caragea |
| 2020 | AAAI | On Identifying Hashtags in Disaster Twitter Data. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2020 | AAAI | Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). | Gabriele Galfr, Cornelia Caragea |
| 2020 | AAAI | A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). | Edoardo Savini, Cornelia Caragea |
| 2020 | ACL | Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2020 | ACL | Detecting Perceived Emotions in Hurricane Disasters. | Shrey Desai, Cornelia Caragea, Junyi Jessy Li |
| 2020 | COLING | Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. | Seoyeon Park, Cornelia Caragea |
| 2020 | DocEng | COVIDSeer: Extending the CORD-19 Dataset. | Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles |
| 2020 | EMNLP | On the Use of Web Search to Improve Scientific Collections. | Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli |
| 2020 | EMNLP | CancerEmo: A Dataset for Fine-Grained Emotion Detection. | Tiberiu Sosea, Cornelia Caragea |
| 2020 | LREC | Dynamic Classification in Web Archiving Collections. | Krutarth Patel, Cornelia Caragea, Mark E. Phillips |
| 2019 | AAAI | Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. | Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles |
| 2019 | AAAI | Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. | Ashwini Tonge, Cornelia Caragea |
| 2019 | DSAA | Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online. | Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, Elena Zheleva |
| 2019 | EMNLP | The Myth of Double-Blind Review Revisited: ACL vs. EMNLP. | Cornelia Caragea, Ana Sabina Uban, Liviu P. Dinu |
| 2019 | EMNLP | Multi-Task Stance Detection with Sentiment and Stance Lexicons. | Yingjie Li, Cornelia Caragea |
| 2019 | WWW | Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. | Rabah A. Al-Zaidy, Cornelia Caragea, C. Lee Giles |
| 2019 | WWW | Keyphrase Extraction from Disaster-related Tweets. | Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea |
| 2019 | WWW | Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. | Ashwini Tonge, Cornelia Caragea |
| 2018 | AAAI | Identifying Emotional Support in Online Health Communities. | Hamed Khanpour, Cornelia Caragea, Prakhar Biyani |
| 2018 | AAAI | Uncovering Scene Context for Predicting Privacy of Online Shared Images. | Ashwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini |
| 2018 | EMNLP | Exploring Optimism and Pessimism in Twitter Using Deep Learning. | Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru |
| 2018 | EMNLP | Fine-Grained Emotion Detection in Health-Related Online Posts. | Hamed Khanpour, Cornelia Caragea |
| 2018 | WWW | On the Use of "Deep" Features for Online Image Sharing. | Ashwini Tonge, Cornelia Caragea |
| 2018 | SIGIR | Fine-Grained Information Identification in Health Related Posts. | Hamed Khanpour, Cornelia Caragea |
| 2017 | AAAI | A Position-Biased PageRank Algorithm for Keyphrase Extraction. | Corina Florescu, Cornelia Caragea |
| 2017 | ACL | PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. | Corina Florescu, Cornelia Caragea |
| 2017 | ECIR | A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction. | Corina Florescu, Cornelia Caragea |
| 2017 | IJCAI | A Group-Based Personalized Model for Image Privacy Classification and Labeling. | Haoti Zhong, Anna Cinzia Squicciarini, David J. Miller, Cornelia Caragea |
| 2017 | IJCNLP | Identifying Empathetic Messages in Online Health Communities. | Hamed Khanpour, Cornelia Caragea, Prakhar Biyani |
| 2017 | PST | From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing. | Anna Cinzia Squicciarini, Andrea Novelli, Dan Lin, Cornelia Caragea, Haoti Zhong |
| 2016 | AAAI | Document Type Classification in Online Digital Libraries. | Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, C. Lee Giles |
| 2016 | AAAI | MetaSeer.STEM: Towards Automating Meta-Analyses. | Kishore Neppalli, Cornelia Caragea, Robin Mayes, Kim Nimon, Fred Oswald |
| 2016 | AAAI | Image Privacy Prediction Using Deep Features. | Ashwini Kishore Tonge, Cornelia Caragea |
| 2016 | EMNLP | Supervised Keyphrase Extraction as Positive Unlabeled Learning. | Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder |
| 2016 | IJCAI | Content-Driven Detection of Cyberbullying on the Instagram Social Network. | Haoti Zhong, Hao Li, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, Christopher Griffin, David J. Miller, Cornelia Caragea |
| 2015 | AIME | An Analysis of Twitter Data on E-cigarette Sentiments and Promotion. | Andreea Kamiana Godea, Cornelia Caragea, Florin Adrian Bulgarov, Suhasini Ramisetty-Mikler |
| 2015 | ECIR | Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums. | Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra |
| 2015 | EMNLP | Co-Training for Topic Classification of Scholarly Data. | Cornelia Caragea, Florin Adrian Bulgarov, Rada Mihalcea |
| 2015 | WWW | A Comparison of Supervised Keyphrase Extraction Models. | Florin Adrian Bulgarov, Cornelia Caragea |
| 2015 | WWW | The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. | Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen |
| 2014 | AAAI | Extracting Keyphrases from Research Papers Using Citation Networks. | Sujatha Das Gollapalli, Cornelia Caragea |
| 2014 | AAAI | CiteSeerX: AI in a Digital Library Search Engine. | Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles |
| 2014 | COLING | Identifying Emotional and Informational Support in Online Health Communities. | Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra, John Yen |
| 2014 | ECIR | CiteSeer x : A Scholarly Big Dataset. | Cornelia Caragea, Jian Wu, Alina Maria Ciobanu, Kyle Williams, Juan Pablo Fernndez Ramrez, Hung-Hsuan Chen, Zhaohui Wu, C. Lee Giles |
| 2014 | EMNLP | Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach. | Cornelia Caragea, Florin Adrian Bulgarov, Andreea Godea, Sujatha Das Gollapalli |
| 2014 | ICPR | Playscript Classification and Automatic Wikipedia Play Articles Generation. | Siddhartha Banerjee, Cornelia Caragea, Prasenjit Mitra |
| 2013 | CICLING | Predicting Subjectivity Orientation of Online Forum Threads. | Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra |
| 2013 | CIKM | 2013 international workshop on computational scientometrics: theory and applications. | Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu |
| 2013 | WWW | Researcher homepage classification using unlabeled data. | Sujatha Das Gollapalli, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles |
| 2012 | AAAI | Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. | Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra |
| 2012 | CIKM | I want what i need!: analyzing subjectivity of online forum threads. | Prakhar Biyani, Cornelia Caragea, Amit Singh, Prasenjit Mitra |
| 2012 | CIKM | Recommending citations: translating papers into references. | Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach |
| 2012 | COLING | Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads. | Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra |
| 2011 | IJCAI | Context Sensitive Topic Models for Author Influence in Document Networks. | Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles |
| 2010 | ICDM | Abstraction Augmented Markov Models. | Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar |
| 2009 | ICDM | Combining Super-Structuring and Abstraction on Sequence Classification. | Adrian Silvescu, Cornelia Caragea, Vasant G. Honavar |
| 2009 | ICTAI | Learning Link-Based Classifiers from Ontology-Extended Textual Data. | Cornelia Caragea, Doina Caragea, Vasant G. Honavar |
| 2008 | PSB | Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. | Jae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry D. Sander, Li C. Xue, Feihong Wu, Michael Terribilini, Vasant G. Honavar, Drena Dobbs |
| 2007 | BIBE | Assessing the Performance of Macromolecular Sequence Classifiers. | Cornelia Caragea, Jivko Sinapov, Vasant G. Honavar, Drena Dobbs |
| 2005 | AAAI | Learning Support Vector Machines from Distributed Data Sources. | Cornelia Caragea, Doina Caragea, Vasant G. Honavar |