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ORCIDCornelia Caragea
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- affiliation: University of Illinois at Chicago, Chicago, USA
- affiliation (former): University of North Texas, Denton, USA
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2020 – today
- 2024
[c161]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. ACL (1) 2024: 236-253- [c160]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354 - [c159]Mobashir Sadat, Cornelia Caragea:
Co-training for Low Resource Scientific Natural Language Inference. ACL (1) 2024: 2538-2550 - [c158]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 - [c157]Chenye Zhao, Yingjie Li, Cornelia Caragea, Yue Zhang:
ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation. ACL (Findings) 2024: 13390-13405 - [c156]Chenye Zhao, Cornelia Caragea:
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection. ACL (1) 2024: 15697-15714 - [c155]Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea:
Sarcasm Detection in a Disaster Context. LREC/COLING 2024: 14313-14324 - [c154]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. LREC/COLING 2024: 14407-14417 - [c153]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. ECAI 2024: 73-80 - [c152]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. NAACL (Industry Track) 2024: 453-463 - [c151]Smriti Singh, Cornelia Caragea, Junyi Jessy Li:
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. NAACL (Short Papers) 2024: 603-614 - [c150]Mobashir Sadat, Cornelia Caragea:
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. NAACL-HLT 2024: 1610-1629 - [i50]Jishnu Ray Chowdhury, Cornelia Caragea:
Recurrent Transformers with Dynamic Halt. CoRR abs/2402.00976 (2024) - [i49]Mobashir Sadat, Cornelia Caragea:
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference. CoRR abs/2404.08066 (2024) - [i48]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. CoRR abs/2404.08886 (2024) - [i47]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i46]Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu:
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. CoRR abs/2405.11877 (2024) - [i45]Mobashir Sadat, Cornelia Caragea:
Co-training for Low Resource Scientific Natural Language Inference. CoRR abs/2406.14666 (2024) - [i44]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions. CoRR abs/2406.14756 (2024) - [i43]Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut, Longin Jan Latecki:
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding. CoRR abs/2407.05183 (2024) - [i42]Jishnu Ray Chowdhury, Cornelia Caragea:
On the Design Space Between Transformers and Recursive Neural Nets. CoRR abs/2409.01531 (2024) - 2023
- [j20]Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki:
DMDD: A Large-Scale Dataset for Dataset Mentions Detection. Trans. Assoc. Comput. Linguistics 11: 1132-1146 (2023) - [j19]Chenye Zhao
, Cornelia Caragea:
Deep Gated Multi-modal Fusion for Image Privacy Prediction. ACM Trans. Web 17(4): 34:1-34:24 (2023) - [c149]Mahshid Hosseini, Cornelia Caragea:
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks. AAAI 2023: 12881-12889 - [c148]George Maratos, Tiberiu Sosea, Cornelia Caragea:
Label Smoothing for Emotion Detection (Student Abstract). AAAI 2023: 16282-16283 - [c147]Mahshid Hosseini, Cornelia Caragea:
Semi-Supervised Domain Adaptation for Emotion-Related Tasks. ACL (Findings) 2023: 5402-5410 - [c146]Yingjie Li, Cornelia Caragea:
Distilling Calibrated Knowledge for Stance Detection. ACL (Findings) 2023: 6316-6329 - [c145]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Data Augmentation for Low-Resource Keyphrase Generation. ACL (Findings) 2023: 8442-8455 - [c144]Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg, Tanmay Sharma:
Towards Identifying Fine-Grained Depression Symptoms from Memes. ACL (1) 2023: 8890-8905 - [c143]Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea:
Unsupervised Extractive Summarization of Emotion Triggers. ACL (1) 2023: 9550-9569 - [c142]Yingjie Li, Krishna Garg, Cornelia Caragea:
A New Direction in Stance Detection: Target-Stance Extraction in the Wild. ACL (1) 2023: 10071-10085 - [c141]Chenye Zhao, Yingjie Li, Cornelia Caragea:
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection. ACL (1) 2023: 13369-13385 - [c140]Tiberiu Sosea, Cornelia Caragea:
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CVPR 2023: 15773-15782 - [c139]Mina Valizadeh, Xing Qian, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde:
What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection. EACL 2023: 1193-1208 - [c138]Chenye Zhao, Cornelia Caragea:
EZ-STANCE: A Large Dataset for Zero-Shot Stance Detection. EMNLP (Findings) 2023: 897-911 - [c137]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) 2023: 6104-6115 - [c136]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. EMNLP 2023: 7290-7301 - [c135]Seo Park, Cornelia Caragea:
Multi-Task Knowledge Distillation with Embedding Constraints for Scholarly Keyphrase Boundary Classification. EMNLP 2023: 13026-13042 - [c134]Jishnu Ray Chowdhury, Cornelia Caragea:
Beam Tree Recursive Cells. ICML 2023: 28768-28791 - [c133]Jishnu Ray Chowdhury, Cornelia Caragea:
Monotonic Location Attention for Length Generalization. ICML 2023: 28792-28808 - [c132]Jishnu Ray Chowdhury, Cornelia Caragea:
Efficient Beam Tree Recursion. NeurIPS 2023 - [c131]Jishnu Ray Chowdhury, Cornelia Caragea:
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. NeurIPS 2023 - [c130]Yingjie Li, Chenye Zhao, Cornelia Caragea:
TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. WWW 2023: 1500-1509 - [c129]Shweta Yadav, Stefan Cobeli, Cornelia Caragea:
Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. WWW 2023: 1773-1783 - [c128]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 - [i41]Sandeep Mehta, Darpan Shah, Ravindra Kulkarni, Cornelia Caragea:
Semantic Tokenizer for Enhanced Natural Language Processing. CoRR abs/2304.12404 (2023) - [i40]Tuhin Kundu, Jishnu Ray Chowdhury, Cornelia Caragea:
Neural Keyphrase Generation: Analysis and Evaluation. CoRR abs/2304.13883 (2023) - [i39]Huitong Pan, Qi Zhang, Eduard Dragut, Cornelia Caragea, Longin Jan Latecki:
DMDD: A Large-Scale Dataset for Dataset Mentions Detection. CoRR abs/2305.11779 (2023) - [i38]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Data Augmentation for Low-Resource Keyphrase Generation. CoRR abs/2305.17968 (2023) - [i37]Jishnu Ray Chowdhury, Cornelia Caragea:
Beam Tree Recursive Cells. CoRR abs/2305.19999 (2023) - [i36]Jishnu Ray Chowdhury, Cornelia Caragea:
Monotonic Location Attention for Length Generalization. CoRR abs/2305.20019 (2023) - [i35]Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea:
Unsupervised Extractive Summarization of Emotion Triggers. CoRR abs/2306.01444 (2023) - [i34]Jishnu Ray Chowdhury, Cornelia Caragea:
Efficient Beam Tree Recursion. CoRR abs/2307.10779 (2023) - [i33]Tiberiu Sosea, Junyi Jessy Li, Cornelia Caragea:
Sarcasm Detection in a Disaster Context. CoRR abs/2308.08156 (2023) - [i32]Tiberiu Sosea, Cornelia Caragea:
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins. CoRR abs/2308.09037 (2023) - [i31]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR abs/2310.14577 (2023) - [i30]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. CoRR abs/2310.14583 (2023) - [i29]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) - [i28]Jishnu Ray Chowdhury, Cornelia Caragea:
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability. CoRR abs/2311.04449 (2023) - [i27]Smriti Singh, Cornelia Caragea, Junyi Jessy Li:
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion. CoRR abs/2311.09602 (2023) - 2022
- [c127]Seoyeon Park, Cornelia Caragea:
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. ACL (1) 2022: 5364-5374 - [c126]Mobashir Sadat, Cornelia Caragea:
SciNLI: A Corpus for Natural Language Inference on Scientific Text. ACL (1) 2022: 7399-7409 - [c125]Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea:
Multimodal Semi-supervised Learning for Disaster Tweet Classification. COLING 2022: 2711-2723 - [c124]Shweta Yadav, Cornelia Caragea:
Towards Summarizing Healthcare Questions in Low-Resource Setting. COLING 2022: 2892-2905 - [c123]Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, Cornelia Caragea:
A New Public Corpus for Clinical Section Identification: MedSecId. COLING 2022: 3709-3721 - [c122]Tiberiu Sosea, Cornelia Caragea:
Leveraging Training Dynamics and Self-Training for Text Classification. EMNLP (Findings) 2022: 4750-4762 - [c121]Mobashir Sadat, Cornelia Caragea:
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. EMNLP (Findings) 2022: 4763-4776 - [c120]Jishnu Ray Chowdhury, Seoyeon Park, Tuhin Kundu, Cornelia Caragea:
KPDROP: Improving Absent Keyphrase Generation. EMNLP (Findings) 2022: 4853-4870 - [c119]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Keyphrase Generation Beyond the Boundaries of Title and Abstract. EMNLP (Findings) 2022: 5809-5821 - [c118]Mobashir Sadat, Cornelia Caragea:
Hierarchical Multi-Label Classification of Scientific Documents. EMNLP 2022: 8923-8937 - [c117]Mahshid Hosseini, Cornelia Caragea:
Calibrating Student Models for Emotion-related Tasks. EMNLP 2022: 9266-9278 - [c116]Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li:
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. EMNLP 2022: 9436-9453 - [c115]Chenye Zhao, Jasmine Mangat, Sujay Koujalgi, Anna Cinzia Squicciarini, Cornelia Caragea:
PrivacyAlert: A Dataset for Image Privacy Prediction. ICWSM 2022: 1352-1361 - [c114]Stefan Cobeli, Ioan-Bogdan Iordache, Shweta Yadav, Cornelia Caragea, Liviu P. Dinu, Dragos Iliescu:
Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism. LREC 2022: 2032-2041 - [c113]Tiberiu Sosea, Cornelia Caragea:
EnsyNet: A Dataset for Encouragement and Sympathy Detection. LREC 2022: 5444-5449 - [c112]Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li:
Emotion analysis and detection during COVID-19. LREC 2022: 6938-6947 - [c111]Seoyeon Park, Cornelia Caragea:
A Data Cartography based MixUp for Pre-trained Language Models. NAACL-HLT 2022: 4244-4250 - [i26]Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea:
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation. CoRR abs/2203.04464 (2022) - [i25]Mobashir Sadat, Cornelia Caragea:
SciNLI: A Corpus for Natural Language Inference on Scientific Text. CoRR abs/2203.06728 (2022) - [i24]Seoyeon Park, Cornelia Caragea:
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency. CoRR abs/2203.07559 (2022) - [i23]Seoyeon Park, Cornelia Caragea:
A Data Cartography based MixUp for Pre-trained Language Models. CoRR abs/2205.03403 (2022) - [i22]Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li:
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts. CoRR abs/2210.12531 (2022) - [i21]Mobashir Sadat, Cornelia Caragea:
Hierarchical Multi-Label Classification of Scientific Documents. CoRR abs/2211.02810 (2022) - [i20]Mobashir Sadat, Cornelia Caragea:
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference. CoRR abs/2211.02971 (2022) - 2021
- [j18]Tanmoy Chakraborty, Sumit Bhatia, Cornelia Caragea:
Special section on mining knowledge from scientific data. Expert Syst. J. Knowl. Eng. 38(4) (2021) - [c110]Mahshid Hosseini, Cornelia Caragea:
It Takes Two to Empathize: One to Seek and One to Provide. AAAI 2021: 13018-13026 - [c109]Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles:
Author Homepage Discovery in CiteSeerX. AAAI 2021: 15146-15155 - [c108]Tiberiu Sosea, Cornelia Caragea:
eMLM: A New Pre-training Objective for Emotion Related Tasks. ACL/IJCNLP (2) 2021: 286-293 - [c107]Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea:
Stance Detection in COVID-19 Tweets. ACL/IJCNLP (1) 2021: 1596-1611 - [c106]Ana Sabina Uban, Cornelia Caragea, Liviu P. Dinu:
Studying the Evolution of Scientific Topics and their Relationships. ACL/IJCNLP (Findings) 2021: 1908-1922 - [c105]Yingjie Li, Cornelia Caragea:
A Multi-Task Learning Framework for Multi-Target Stance Detection. ACL/IJCNLP (Findings) 2021: 2320-2326 - [c104]Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen, Cornelia Caragea:
P-Stance: A Large Dataset for Stance Detection in Political Domain. ACL/IJCNLP (Findings) 2021: 2355-2365 - [c103]Krutarth Patel, Cornelia Caragea:
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers. EACL 2021: 1585-1591 - [c102]Mahshid Hosseini, Cornelia Caragea:
Distilling Knowledge for Empathy Detection. EMNLP (Findings) 2021: 3713-3724 - [c101]Yingjie Li, Chenye Zhao, Cornelia Caragea:
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation. EMNLP (1) 2021: 6332-6345 - [c100]Jishnu Ray Chowdhury, Cornelia Caragea:
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. ICML 2021: 1975-1988 - [c99]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 - [c98]Hongmin Li, Doina Caragea, Cornelia Caragea:
Combining Self-training with Deep Learning for Disaster Tweet Classification. ISCRAM 2021: 719-730 - [c97]Yingjie Li, Cornelia Caragea:
Target-Aware Data Augmentation for Stance Detection. NAACL-HLT 2021: 1850-1860 - [c96]Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde:
Identifying Medical Self-Disclosure in Online Communities. NAACL-HLT 2021: 4398-4408 - [c95]Chenye Zhao, Cornelia Caragea:
Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction. RANLP 2021: 1616-1625 - [i19]Jishnu Ray Chowdhury, Cornelia Caragea:
Modeling Hierarchical Structures with Continuous Recursive Neural Networks. CoRR abs/2106.06038 (2021) - [i18]Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li:
When a crisis strikes: Emotion analysis and detection during COVID-19. CoRR abs/2107.11020 (2021) - [i17]Paul Landes, Barbara Di Eugenio, Cornelia Caragea:
DeepZensols: Deep Natural Language Processing Framework. CoRR abs/2109.03383 (2021) - [i16]Ana Sabina Uban, Cornelia Caragea:
Generating Summaries for Scientific Paper Review. CoRR abs/2109.14059 (2021) - [i15]Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea:
KPDrop: An Approach to Improving Absent Keyphrase Generation. CoRR abs/2112.01476 (2021) - [i14]Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Keyphrase Generation Beyond the Boundaries of Title and Abstract. CoRR abs/2112.06776 (2021) - 2020
- [j17]Ashwini Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Neural Networks. ACM Trans. Web 14(2): 7:1-7:32 (2020) - [c94]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. AAAI 2020: 498-506 - [c93]Gabriele Galfré, Cornelia Caragea:
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract). AAAI 2020: 13785-13786 - [c92]Edoardo Savini, Cornelia Caragea:
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract). AAAI 2020: 13907-13908 - [c91]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup. ACL (student) 2020: 292-298 - [c90]Shrey Desai, Cornelia Caragea, Junyi Jessy Li:
Detecting Perceived Emotions in Hurricane Disasters. ACL 2020: 5290-5305 - [c89]Seoyeon Park, Cornelia Caragea:
Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning. COLING 2020: 5409-5419 - [c88]Shaurya Rohatgi, Zeba Karishma, Jason Chhay, Sai Raghav Reddy Keesara, Jian Wu, Cornelia Caragea, C. Lee Giles:
COVIDSeer: Extending the CORD-19 Dataset. DocEng 2020: 21:1-21:4 - [c87]Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli:
On the Use of Web Search to Improve Scientific Collections. SDP@EMNLP 2020: 174-183 - [c86]Tiberiu Sosea, Cornelia Caragea:
CancerEmo: A Dataset for Fine-Grained Emotion Detection. EMNLP (1) 2020: 8892-8904 - [c85]Krutarth Patel, Cornelia Caragea, Jian Wu, C. Lee Giles:
Keyphrase Extraction in Scholarly Digital Library Search Engines. ICWS 2020: 179-196 - [c84]Krutarth Patel, Cornelia Caragea, Mark E. Phillips, Nathaniel T. Fox:
Identifying Documents In-Scope of a Collection from Web Archives. JCDL 2020: 167-176 - [c83]Krutarth Patel, Cornelia Caragea, Mark E. Phillips:
Dynamic Classification in Web Archiving Collections. LREC 2020: 1459-1468 - [i13]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
On Identifying Hashtags in Disaster Twitter Data. CoRR abs/2001.01323 (2020) - [i12]Shrey Desai, Cornelia Caragea, Junyi Jessy Li:
Detecting Perceived Emotions in Hurricane Disasters. CoRR abs/2004.14299 (2020) - [i11]Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu:
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR abs/2008.02434 (2020) - [i10]Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel T. Fox:
Identifying Documents In-Scope of a Collection from Web Archives. CoRR abs/2009.00611 (2020)
2010 – 2019
- 2019
- [j16]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) - [j15]Ashwini Tonge, Cornelia Caragea:
Privacy-aware Tag Recommendation for Accurate Image Privacy Prediction. ACM Trans. Intell. Syst. Technol. 10(4): 40:1-40:28 (2019) - [c82]Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. AAAI 2019: 9601-9606 - [c81]Ashwini Tonge, Cornelia Caragea:
Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction. AAAI 2019: 10057-10058 - [c80]Mahnaz Roshanaei, Christopher Tran, Sylvia Morelli, Cornelia Caragea, Elena Zheleva:
Paths to Empathy: Heterogeneous Effects of Reading Personal Stories Online. DSAA 2019: 570-579 - [c79]Cornelia Caragea, Ana Sabina Uban, Liviu P. Dinu:
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP. EMNLP/IJCNLP (1) 2019: 2317-2327 - [c78]Yingjie Li, Cornelia Caragea:
Multi-Task Stance Detection with Sentiment and Stance Lexicons. EMNLP/IJCNLP (1) 2019: 6298-6304 - [c77]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 - [c76]Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli:
Identifying Disaster Damage Images Using a Domain Adaptation Approach. ISCRAM 2019 - [c75]Yingjie Li, Seoyeon Park, Cornelia Caragea, Doina Caragea, Andrea H. Tapia:
Sympathy Detection in Disaster Twitter Data. ISCRAM 2019 - [c74]Krutarth Patel, Cornelia Caragea:
Exploring Word Embeddings in CRF-based Keyphrase Extraction from Research Papers. K-CAP 2019: 37-44 - [c73]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Keyphrase Extraction from Disaster-related Tweets. WWW 2019: 1555-1566 - [c72]Ashwini Tonge, Cornelia Caragea:
Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. WWW 2019: 1829-1840 - [c71]Rabah A. Al-Zaidy, Cornelia Caragea, C. Lee Giles:
Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents. WWW 2019: 2551-2557 - [i9]Ashwini Tonge, Cornelia Caragea:
Dynamic Deep Multi-modal Fusion for Image Privacy Prediction. CoRR abs/1902.10796 (2019) - [i8]Ashwini Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Neural Networks. CoRR abs/1903.03695 (2019) - [i7]Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets. CoRR abs/1906.08470 (2019) - [i6]Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea:
Keyphrase Extraction from Disaster-related Tweets. CoRR abs/1910.07897 (2019) - 2018
- [j14]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) - [j13]Gilad Katz, Cornelia Caragea, Asaf Shabtai:
Vertical Ensemble Co-Training for Text Classification. ACM Trans. Intell. Syst. Technol. 9(2): 21:1-21:23 (2018) - [c70]Hamed Khanpour, Cornelia Caragea, Prakhar Biyani:
Identifying Emotional Support in Online Health Communities. AAAI 2018: 8099-8100 - [c69]Ashwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini:
Uncovering Scene Context for Predicting Privacy of Online Shared Images. AAAI 2018: 8167-8168 - [c68]Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru:
Exploring Optimism and Pessimism in Twitter Using Deep Learning. EMNLP 2018: 652-658 - [c67]Hamed Khanpour, Cornelia Caragea:
Fine-Grained Emotion Detection in Health-Related Online Posts. EMNLP 2018: 1160-1166 - [c66]Cornelia Caragea, Corina Florescu:
Venue Classification of Research Papers in Scholarly Digital Libraries. TPDL 2018: 129-136 - [c65]Ashwini Tonge, Cornelia Caragea, Anna Cinzia Squicciarini:
Privacy-Aware Tag Recommendation for Image Sharing. HT 2018: 52-56 - [c64]Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea:
Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. ISCRAM 2018 - [c63]Venkata Kishore Neppalli, Cornelia Caragea, Doina Caragea:
Deep Neural Networks versus Naive Bayes Classifiers for Identifying Informative Tweets during Disasters. ISCRAM 2018 - [c62]Hamed Khanpour, Cornelia Caragea:
Fine-Grained Information Identification in Health Related Posts. SIGIR 2018: 1001-1004 - [c61]Ashwini Tonge, Cornelia Caragea:
On the Use of "Deep" Features for Online Image Sharing. WWW (Companion Volume) 2018: 1317-1321 - [r2]Cornelia Caragea, Vasant G. Honavar:
Machine Learning in Computational Biology. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j12]Anna Cinzia Squicciarini, Cornelia Caragea, Rahul Balakavi:
Toward Automated Online Photo Privacy. ACM Trans. Web 11(1): 2:1-2:29 (2017) - [c60]Corina Florescu, Cornelia Caragea:
A Position-Biased PageRank Algorithm for Keyphrase Extraction. AAAI 2017: 4923-4924 - [c59]Corina Florescu, Cornelia Caragea:
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. ACL (1) 2017: 1105-1115 - [c58]Corina Florescu, Cornelia Caragea:
A New Scheme for Scoring Phrases in Unsupervised Keyphrase Extraction. ECIR 2017: 477-483 - [c57]Haoti Zhong, Anna Cinzia Squicciarini, David J. Miller, Cornelia Caragea:
A Group-Based Personalized Model for Image Privacy Classification and Labeling. IJCAI 2017: 3952-3958 - [c56]Hamed Khanpour, Cornelia Caragea, Prakhar Biyani:
Identifying Empathetic Messages in Online Health Communities. IJCNLP(2) 2017: 246-251 - [c55]Hongmin Li, Doina Caragea, Cornelia Caragea:
Towards Practical Usage of a Domain Adaptation Algorithm in the Early Hours of a Disaster. ISCRAM 2017 - [c54]Anna Cinzia Squicciarini, Andrea Novelli, Dan Lin, Cornelia Caragea, Haoti Zhong:
From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing. PST 2017: 337-348 - 2016
- [j11]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [j10]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) - [c53]Cornelia Caragea, Jian Wu, Sujatha Das Gollapalli, C. Lee Giles:
Document Type Classification in Online Digital Libraries. AAAI 2016: 3997-4002 - [c52]Kishore Neppalli, Cornelia Caragea, Robin Mayes, Kim Nimon, Fred Oswald:
MetaSeer.STEM: Towards Automating Meta-Analyses. AAAI 2016: 4035-4040 - [c51]Ashwini Kishore Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Features. AAAI 2016: 4266-4267 - [c50]Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder:
Supervised Keyphrase Extraction as Positive Unlabeled Learning. EMNLP 2016: 1924-1929 - [c49]Haoti Zhong, Hao Li, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, Christopher Griffin, David J. Miller, Cornelia Caragea:
Content-Driven Detection of Cyberbullying on the Instagram Social Network. IJCAI 2016: 3952-3958 - [c48]Cornelia Caragea, Adrian Silvescu, Andrea H. Tapia:
Identifying Informative Messages in Disasters using Convolutional Neural Networks. ISCRAM 2016 - [c47]Shane Errol Halse, Andrea H. Tapia, Anna Cinzia Squicciarini, Cornelia Caragea:
An Emotional Step Towards Automated Trust Detection in Crisis Social Media. ISCRAM 2016 - [c46]Shane Errol Halse, Andrea H. Tapia, Anna Cinzia Squicciarini, Cornelia Caragea:
Tweet Factors Influencing Trust and Usefulness During Both Man-Made and Natural Disasters. ISCRAM 2016 - [c45]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 - [i5]Sujatha Das Gollapalli, Krutarth Patel, Cornelia Caragea:
A Search/Crawl Framework for Automatically Acquiring Scientific Documents. CoRR abs/1604.05005 (2016) - 2015
- [j9]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AI Mag. 36(3): 35-48 (2015) - [j8]Sujatha Das Gollapalli, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Improving Researcher Homepage Classification with Unlabeled Data. ACM Trans. Web 9(4): 17:1-17:32 (2015) - [c44]Andreea Kamiana Godea, Cornelia Caragea, Florin Adrian Bulgarov, Suhasini Ramisetty-Mikler:
An Analysis of Twitter Data on E-cigarette Sentiments and Promotion. AIME 2015: 205-215 - [c43]Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra:
Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums. ECIR 2015: 495-500 - [c42]Cornelia Caragea, Florin Adrian Bulgarov, Rada Mihalcea:
Co-Training for Topic Classification of Scholarly Data. EMNLP 2015: 2357-2366 - [c41]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 - [c40]Jian Wu, Jason Killian, Huaiyu Yang, Kyle Williams, Sagnik Ray Choudhury, Suppawong Tuarob, Cornelia Caragea, C. Lee Giles:
PDFMEF: A Multi-Entity Knowledge Extraction Framework for Scholarly Documents and Semantic Search. K-CAP 2015: 13:1-13:8 - [c39]Florin Adrian Bulgarov, Cornelia Caragea:
A Comparison of Supervised Keyphrase Extraction Models. WWW (Companion Volume) 2015: 13-14 - [c38]Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen:
The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. WWW (Companion Volume) 2015: 83-84 - [e2]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] - [i4]Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng:
Reports from the 2015 AAAI Workshop Program. AI Mag. 36(2): 90-101 (2015) - [i3]Prakhar Biyani, Cornelia Caragea, Narayan L. Bhamidipati:
Entity-Specific Sentiment Classification of Yahoo News Comments. CoRR abs/1506.03775 (2015) - [i2]Ashwini Tonge, Cornelia Caragea:
Privacy Prediction of Images Shared on Social Media Sites Using Deep Features. CoRR abs/1510.08583 (2015) - 2014
- [j7]Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra:
Using non-lexical features for identifying factual and opinionative threads in online forums. Knowl. Based Syst. 69: 170-178 (2014) - [c37]Sujatha Das Gollapalli, Cornelia Caragea:
Extracting Keyphrases from Research Papers Using Citation Networks. AAAI 2014: 1629-1635 - [c36]Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles:
CiteSeerX: AI in a Digital Library Search Engine. AAAI 2014: 2930-2937 - [c35]Brenda Reyes Ayala, Cornelia Caragea:
Towards building a collection of web archiving research articles. ASIST 2014: 1-5 - [c34]Brandon Truong, Cornelia Caragea, Anna Cinzia Squicciarini, Andrea H. Tapia:
Identifying valuable information from twitter during natural disasters. ASIST 2014: 1-4 - [c33]Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra, John Yen:
Identifying Emotional and Informational Support in Online Health Communities. COLING 2014: 827-836 - [c32]Cornelia Caragea, Jian Wu, Alina Maria Ciobanu, Kyle Williams, Juan Pablo Fernández Ramírez, Hung-Hsuan Chen, Zhaohui Wu, C. Lee Giles:
CiteSeer x : A Scholarly Big Dataset. ECIR 2014: 311-322 - [c31]Cornelia Caragea, Florin Adrian Bulgarov, Andreea Godea, Sujatha Das Gollapalli:
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach. EMNLP 2014: 1435-1446 - [c30]Anna Cinzia Squicciarini, Cornelia Caragea, Rahul Balakavi:
Analyzing images' privacy for the modern web. HT 2014: 136-147 - [c29]Siddhartha Banerjee, Cornelia Caragea, Prasenjit Mitra:
Playscript Classification and Automatic Wikipedia Play Articles Generation. ICPR 2014: 3630-3635 - [c28]Cornelia Caragea, Anna Cinzia Squicciarini, Sam Stehle, Kishore Neppalli, Andrea H. Tapia:
Mapping moods: Geo-mapped sentiment analysis during hurricane sandy. ISCRAM 2014 - [c27]Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, C. Lee Giles:
Document Analysis and Retrieval Tasks in Scientific Digital Libraries. RuSSIR 2014: 3-20 - [i1]Shibamouli Lahiri, Sagnik Ray Choudhury, Cornelia Caragea:
Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks. CoRR abs/1401.6571 (2014) - 2013
- [c26]Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra, Chong Zhou, John Yen, Greta E. Greer, Kenneth Portier:
Co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community. ASONAM 2013: 413-417 - [c25]Prakhar Biyani, Cornelia Caragea, Prasenjit Mitra:
Predicting Subjectivity Orientation of Online Forum Threads. CICLing (2) 2013: 109-120 - [c24]Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu:
2013 international workshop on computational scientometrics: theory and applications. CIKM 2013: 2545-2546 - [c23]Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra, C. Lee Giles:
Can't see the forest for the trees?: a citation recommendation system. JCDL 2013: 111-114 - [c22]Nir Ofek, Cornelia Caragea, Lior Rokach, Prakhar Biyani, Prasenjit Mitra, John Yen, Kenneth Portier, Greta E. Greer:
Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon. SOCIETY 2013: 109-113 - [c21]Sujatha Das Gollapalli, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles:
Researcher homepage classification using unlabeled data. WWW 2013: 471-482 - [e1]Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu:
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, CompSci@CIKM 2013, San Francisco, California, USA, October 28, 2013. ACM 2013, ISBN 978-1-4503-2414-4 [contents] - 2012
- [j6]Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar:
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinform. 13: 89 (2012) - [j5]Sumit Bhatia, Cornelia Caragea, Hung-Hsuan Chen, Jian Wu, Pucktada Treeratpituk, Zhaohui Wu, Madian Khabsa, Prasenjit Mitra, C. Lee Giles:
Specialized Research Datasets in the CiteSeerx Digital Library. D Lib Mag. 18(7/8) (2012) - [c20]Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra:
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. AAAI 2012: 3-9 - [c19]Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach:
Recommending citations: translating papers into references. CIKM 2012: 1910-1914 - [c18]Prakhar Biyani, Cornelia Caragea, Amit Singh, Prasenjit Mitra:
I want what i need!: analyzing subjectivity of online forum threads. CIKM 2012: 2495-2498 - [c17]Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra:
Thread Specific Features are Helpful for Identifying Subjectivity Orientation of Online Forum Threads. COLING 2012: 295-310 - 2011
- [c16]Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra:
Protein Sequence Classification Using Feature Hashing. BIBM 2011: 538-543 - [c15]Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea, C. Lee Giles:
Context Sensitive Topic Models for Author Influence in Document Networks. IJCAI 2011: 2274-2280 - [c14]Cornelia Caragea, Nathan J. McNeese, Anuj R. Jaiswal, Greg Traylor, Hyun-Woo Kim, Prasenjit Mitra, Dinghao Wu, Andrea H. Tapia, C. Lee Giles, Bernard J. Jansen, John Yen:
Classifying text messages for the haiti earthquake. ISCRAM 2011 - [c13]Sujatha Das Gollapalli, C. Lee Giles, Prasenjit Mitra, Cornelia Caragea:
On identifying academic homepages for digital libraries. JCDL 2011: 123-132 - [c12]Cornelia Caragea, Adrian Silvescu, Saurabh Kataria, Doina Caragea, Prasenjit Mitra:
Classifying Scientific Publications Using Abstract Features. SARA 2011 - [c11]Baojun Qiu, Kang Zhao, Prasenjit Mitra, Dinghao Wu, Cornelia Caragea, John Yen, Greta E. Greer, Kenneth Portier:
Get Online Support, Feel Better - Sentiment Analysis and Dynamics in an Online Cancer Survivor Community. SocialCom/PASSAT 2011: 274-281 - 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]Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant G. Honavar:
Struct-NB: predicting protein-RNA binding sites using structural features. Int. J. Data Min. Bioinform. 4(1): 21-43 (2010) - [c10]Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar:
Semi-supervised sequence classification using abstraction augmented Markov models. BCB 2010: 257-264 - [c9]Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar:
Abstraction Augmented Markov Models. ICDM 2010: 68-77
2000 – 2009
- 2009
- [j2]Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar:
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. BMC Bioinform. 10(S-4) (2009) - [c8]Adrian Silvescu, Cornelia Caragea, Vasant G. Honavar:
Combining Super-Structuring and Abstraction on Sequence Classification. ICDM 2009: 986-991 - [c7]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Link-Based Classifiers from Ontology-Extended Textual Data. ICTAI 2009: 354-361 - [c6]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. OTM Conferences (2) 2009: 1139-1146 - [r1]Cornelia Caragea, Vasant G. Honavar:
Machine Learning in Computational Biology. Encyclopedia of Database Systems 2009: 1663-1667 - 2008
- [c5]Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar:
Using Global Sequence Similarity to Enhance Biological Sequence Labeling. BIBM 2008: 104-111 - [c4]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:
Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. Pacific Symposium on Biocomputing 2008: 501-512 - [c3]Neeraj Koul, Cornelia Caragea, Vasant G. Honavar, Vikas Bahirwani, Doina Caragea:
Learning Classifiers from Large Databases Using Statistical Queries. Web Intelligence 2008: 923-926 - 2007
- [j1]Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant G. Honavar:
Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinform. 8 (2007) - [c2]Cornelia Caragea, Jivko Sinapov, Vasant G. Honavar, Drena Dobbs:
Assessing the Performance of Macromolecular Sequence Classifiers. BIBE 2007: 320-326 - 2005
- [c1]Cornelia Caragea, Doina Caragea, Vasant G. Honavar:
Learning Support Vector Machines from Distributed Data Sources. AAAI 2005: 1602-1603
Coauthor Index
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