Ramakanth Kavuluru

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 81

Top Topics

Word Sense Disambiguation

Interestingness Measures

Relation Extraction

Protein Interaction

Top Venues

J. Biomed. Informatics

Publications

Monika Jain, Raghava Mutharaju, Kuldeep Singh, Ramakanth Kavuluru
Knowledge-Driven Cross-Document Relation Extraction. ACL (Findings) (2024)
Monika Jain, Raghava Mutharaju, Kuldeep Singh, Ramakanth Kavuluru
Knowledge-Driven Cross-Document Relation Extraction. CoRR (2024)
Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. CoRR (2024)
Aviv Brokman, Ramakanth Kavuluru
How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction? CoRR (2024)
Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. AAAI (2024)
Md Sultan Al Nahian, Ramakanth Kavuluru
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization. CoRR (2024)
Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Yash R. Mishra, Steven K. Roggenkamp, Fei Wang, Ramakanth Kavuluru, Jin Chen
A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Yuhang Jiang, Ramakanth Kavuluru
End-to-End n-ary Relation Extraction for Combination Drug Therapies. CoRR (2023)
Xuguang Ai, Ramakanth Kavuluru
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. CoRR (2023)
Shashank Gupta, Xuguang Ai, Ramakanth Kavuluru
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case. CoRR (2023)
Yuhang Jiang, Ramakanth Kavuluru
End-to-End n-ary Relation Extraction for Combination Drug Therapies. ICHI (2023)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30 (12) (2023)
Yuhang Jiang, Ramakanth Kavuluru
COVID-19 event extraction from Twitter via extractive question answering with continuous prompts. CoRR (2023)
Xuguang Ai, Ramakanth Kavuluru
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. ICHI (2023)
Yuhang Jiang, Ramakanth Kavuluru
COVID-19 Event Extraction from Twitter via Extractive Question Answering with Continuous Prompts. MedInfo (2023)
Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022)
Yu Zhao, Ting Su, Yang Liu, Wei Zheng, Xiaoxue Wu, Ramakanth Kavuluru, William G. J. Halfond, Tingting Yu
ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Jeevith Bopaiah, Kiran Garimella, Ramakanth Kavuluru
Opinions on Homeopathy for COVID-19 on Twitter. WebSci (2022)
Patrick J. Ward, April M. Young, Svetla Slavova, Madison Liford, Lara Daniels, Ripley Lucas, Ramakanth Kavuluru
Deep neural networks for fine-grained surveillance of overdose mortality. CoRR (2022)
Harry Hochheiser, Sean Finan, Zhou Yuan, John Levander, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru, Jeremy L. Warner, Guergana Savova
DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance. AMIA (2022)
Griffin M. Weber, Chuan Hong, Zongqi Xia, Nathan P. Palmer, Paul Avillach, Sehi L'Yi, Mark S. Keller, Shawn N. Murphy, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Arnaud Serret-Larmande, Antoine Neuraz, Gilbert S. Omenn, Shyam Visweswaran, Jeffrey G. Klann, Andrew M. South, Ne-Hooi Will Loh, Mario Cannataro, Brett K. Beaulieu-Jones, Riccardo Bellazzi, Giuseppe Agapito, Mario Alessiani, Bruce J. Aronow, Douglas S. Bell, Vincent Benoit, Florence T. Bourgeois, Luca Chiovato, Kelly Cho, Arianna Dagliati, Scott L. DuVall, Noelia García-Barrio, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Richard W. Issitt, Molei Liu, Yuan Luo, Kristine E. Lynch, Sarah Maidlow, Alberto Malovini, Kenneth D. Mandl, Chengsheng Mao, Michael E. Matheny, Jason H. Moore, Jeffrey S. Morris, Michele Morris, Danielle L. Mowery, Kee Yuan Ngiam, Lav P. Patel, Miguel Pedrera-Jiménez, Rachel B. Ramoni, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Anastasia Spiridou, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Carlo Torti, Enrico M. Trecarichi, Xuan Wang, James R. Aaron, Adem Albayrak, Giuseppe Albi, Anna Alloni, Danilo F. Amendola, François Angoulvant, Anthony L. L. J. Li, Fatima Ashraf, Andrew Atz, Paul Avillach, Paula S. Azevedo, James Balshi, Brett K. Beaulieu-Jones, Antonio Bellasi, Vincent Benoit, Michele Beraghi, José Luis Bernal-Sobrino, Mélodie Bernaux, Romain Bey, Surbhi Bhatnagar, Alvar Javier Blanco-Martínez, Martin Boeker, John Booth, Silvano Bosari, Robert L. Bradford, Gabriel A. Brat, Stéphane Bréant, Nicholas W. Brown, Raffaele Bruno, William A. Bryant, Mauro Bucalo, Emily Bucholz, Anita Burgun, Tianxi Cai, Aldo Carmona, Charlotte Caucheteux, Julien Champ, Krista Y. Chen, Jin Chen, Lorenzo Chiudinelli, Kelly Cho, James J. Cimino, Tiago K. Colicchio, Sylvie Cormont, Sébastien Cossin, Jean B. Craig, Juan Luis Cruz-Bermúdez, Jaime Cruz-Rojo, Mohamad Daniar, Christel Daniel, Priyam Das, Batsal Devkota, Audrey Dionne, Rui Duan, Julien Dubiel, Loic Esteve, Hossein Estiri, Shirley Fan, Robert W. Follett, Thomas Ganslandt, Noelia García-Barrio, Lana X. Garmire, Nils Gehlenborg, Emily J. Getzen, Alon Geva, Tobias Gradinger, Alexandre Gramfort, Romain Griffier, Nicolas Griffon, Olivier Grisel, Alba Gutiérrez-Sacristán, Larry Han, David A. Hanauer, Christian Haverkamp, Derek Y. Hazard, Bing He, Darren W. Henderson, Martin Hilka, Kenneth M. Huling, Meghan R. Hutch, Richard W. Issitt, Anne-Sophie Jannot, Vianney Jouhet, Ramakanth Kavuluru, Chris J. Kennedy, Kate F. Kernan, Daniel A. Key, Katie Kirchoff, Jeffrey G. Klann, Isaac S. Kohane, Ian D. Krantz, Detlef Kraska, Ashok K. Krishnamurthy, Trang T. Le, Judith Leblanc, Guillaume Lemaitre, Leslie Lenert, Damien Leprovost, Molei Liu, Qi Long, Sara Lozano-Zahonero, Sadiqa Mahmood, Sarah Maidlow, Adeline Makoudjou, Anupama Maram, Patricia Martel, Marcelo R. Martins, Jayson S. Marwaha, Aaron J. Masino, Maria Mazzitelli, Arthur Mensch, Marianna Milano, Marcos F. Minicucci, Bertrand Moal, Taha Mohseni Ahooyi, Jason H. Moore, Cinta Moraleda, Jeffrey S. Morris, Karyn L. Moshal, Sajad Mousavi, Douglas A. Murad, Shawn N. Murphy, Thomas Naughton, Carlos Tadeu Breda Neto, Jane Newburger, Kee Yuan Ngiam, Wanjiku F. M. Njoroge, James B. Norman, Jihad Obeid, Marina P. Okoshi, Karen L. Olson, Gilbert S. Omenn, Nina Orlova, Brian Ostasiewski, Nathan P. Palmer, Nicolas Paris, Lav P. Patel, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Rachel B. Ramoni, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Amelia L. M. Tan, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Shyam Visweswaran, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Griffin M. Weber, Martin Wolkewitz, Scott Wong, Zongqi Xia, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco, Isaac S. Kohane, Tianxi Cai, Gabriel A. Brat
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Sadie Bograd, Benjamin Chen, Ramakanth Kavuluru
Tracking sentiments toward fat acceptance over a decade on Twitter. Health Informatics J. 28 (1) (2022)
Jimmy Phuong, Naomi O. Riches, Luca Calzoni, Gora Datta, Deborah Duran, Asiyah Yu Lin, Ramesh P. Singh, Anthony E. Solomonides, Noreen Whysel, Ramakanth Kavuluru
Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels. ACM Trans. Comput. Heal. 2 (2) (2021)
Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer. CoRR (2021)
Tung Tran, Melinda J. Ickes, Jakob W. Hester, Ramakanth Kavuluru
Identifying current Juul users among emerging adults through Twitter feeds. Int. J. Medical Informatics 146 (2021)
Jiho Noh, Ramakanth Kavuluru
Improved biomedical word embeddings in the transformer era. J. Biomed. Informatics 120 (2021)
Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather M. Bush, Amy Lynn Meadows, Lars E. Peterson, Steve K. Roggenkamp, Ramakanth Kavuluru, Jin Chen
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer. AMIA (2021)
Jiho Noh, Ramakanth Kavuluru
Joint learning for biomedical NER and entity normalization: encoding schemes, counterfactual examples, and zero-shot evaluation. BCB (2021)
Mohammad Soleymanpour, Sofia Saderholm, Ramakanth Kavuluru
Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter. BIBM (2021)
Anthony Rios, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru
Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. BCB (2021)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). CoRR (2021)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR (2020)
Jiho Noh, Ramakanth Kavuluru
Document Reranking for Precision Medicine with Neural Matching and Faceted Summarization. EMNLP (Findings) (2020)
Jiho Noh, Ramakanth Kavuluru
Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization. CoRR (2020)
Jiho Noh, Ramakanth Kavuluru
Improved Biomedical Word Embeddings in the Transformer Era. CoRR (2020)
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. CoRR (2019)
Tung Tran, Ramakanth Kavuluru
Distant supervision for treatment relation extraction by leveraging MeSH subheadings. Artif. Intell. Medicine 98 (2019)
Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald C. Comeau, Rui Antunes, Sérgio Matos, Qingyu Chen, Aparna Elangovan, Nagesh C. Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Melce Hüsünbeyi, Arzucan Özgür, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu, Zhiyong Lu
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database J. Biol. Databases Curation 2019 (2019)
Mehmet G. Bakal, Halil Kilicoglu, Ramakanth Kavuluru
Non-Negative Matrix Factorization for Drug Repositioning: Experiments with the repoDB Dataset. AMIA (2019)
Jessica D. Tenenbaum, Ramakanth Kavuluru, Thomas H. McCoy, Özlem Uzuner, Sumithra Velupillai
Clinical Text Mining in Mental Health. AMIA (2019)
Anthony Rios, Ramakanth Kavuluru
Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine 96 (2019)
Anthony Rios, Eric B. Durbin, Isaac Hands, Susanne M. Arnold, Darshil Shah, Stephen M. Schwartz, Bernardo H. L. Goulart, Ramakanth Kavuluru
Cross-registry neural domain adaptation to extract mutational test results from pathology reports. J. Biomed. Informatics 97 (2019)
Tung Tran, Ramakanth Kavuluru
Neural Metric Learning for Fast End-to-End Relation Extraction. CoRR (2019)
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels. CoRR (2019)
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW (2019)
Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. 34 (17) (2018)
Anthony Rios, Ramakanth Kavuluru
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP (2018)
Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR (2018)
Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. TAC (2018)
Anthony Rios, Ramakanth Kavuluru
EMR Coding with Semi-Parametric Multi-Head Matching Networks. NAACL-HLT (2018)
Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018 (2018)
Gokhan Bakal, Preetham Talari, Elijah V. Kakani, Ramakanth Kavuluru
Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations. J. Biomed. Informatics 82 (2018)
Tung Tran, Ramakanth Kavuluru
An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations. Database J. Biol. Databases Curation 2018 (2018)
Anthony Rios, Tung Tran, Ramakanth Kavuluru
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). CLPsych@NAACL-HTL (2018)
Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. J. Am. Medical Informatics Assoc. 25 (10) (2018)
Jiho Noh, Ramakanth Kavuluru
Document Retrieval for Biomedical Question Answering with Neural Sentence Matching. ICMLA (2018)
Daniel R. Harris, Ramakanth Kavuluru, Jerzy W. Jaromczyk, Todd R. Johnson
Rapid and Reusable Text Visualization and Exploration Development with DELVE. CRI (2017)
Gokhan Bakal, Ramakanth Kavuluru
On quantifying diffusion of health information on Twitter. BHI (2017)
Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. SMM4H@AMIA (2017)
Akm Sabbir, Antonio Jimeno-Yepes, Ramakanth Kavuluru
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings. BIBE (2017)
Jeevith Bopaiah, Ramakanth Kavuluru
Precision/Recall Trade-Off Analysis in Abnormal/Normal Heart Sound Classification. BDA (2017)
Tung Tran, Ramakanth Kavuluru
Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents. MIKE (2017)
Jiho Noh, Ramakanth Kavuluru
Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting. TREC (2017)
Ramakanth Kavuluru, Anthony Rios, Tung Tran
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI (2017)
Gokhan Bakal, Sergei Wallace, Ramakanth Kavuluru
On the Predictive Potential of Graph Patterns for Biomedical Relation Extraction. AMIA (2016)
A. K. M. Sabbir, Antonio Jimeno-Yepes, Ramakanth Kavuluru
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings and Distant Supervision. CoRR (2016)
Sifei Han, Ramakanth Kavuluru
Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter. SocInfo (2) (2016)
Ramakanth Kavuluru, María Ramos-Morales, Tara Holaday, Amanda G. Williams, Laura Haye, Julie Cerel
Classification of Helpful Comments on Online Suicide Watch Forums. BCB (2016)
Orhan Abar, Ramakanth Kavuluru
Mining EMR Data to Hypothesize Causal Associations for Depressive Disorders. AMIA (2016)
Ramakanth Kavuluru, A. K. M. Sabbir
Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter. J. Biomed. Informatics 61 (2016)
Orhan Abar, Richard J. Charnigo, Abner Rayapati, Ramakanth Kavuluru
On Interestingness Measures for Mining Statistically Significant and Novel Clinical Associations from EMRs. BCB (2016)
Sifei Han, Ramakanth Kavuluru
Exploratory Analysis of Marketing Vs. Non-Marketing Tweets on E-Cigarettes. AMIA (2016)
Ramakanth Kavuluru, Anthony Rios, Yuan Lu
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif. Intell. Medicine 65 (2) (2015)
Sifei Han, Ramakanth Kavuluru
On Assessing the Sentiment of General Tweets. Canadian Conference on AI (2015)
Ramakanth Kavuluru, Anthony Rios
Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. AMIA (2015)
Anthony Rios, Ramakanth Kavuluru
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB (2015)
Gokhan Bakal, Ramakanth Kavuluru
Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs. MIKE (2015)
Delroy Cameron, Ramakanth Kavuluru, Thomas C. Rindflesch, Amit P. Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider
Context-driven automatic subgraph creation for literature-based discovery. J. Biomed. Informatics 54 (2015)
Anthony Rios, Ramakanth Kavuluru
Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. ICHI (2015)
Ramakanth Kavuluru, Anthony Rios, Brandon Kulengowski, Patrick McNamara
A Knowledge-Based Collaborative Clinical Case Mining Framework. AMIA (2014)
Ramakanth Kavuluru, Yuan Lu
Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings. Data Knowl. Eng. 94 (2014)
Daniel R. Harris, Darren W. Henderson, Ramakanth Kavuluru, Arnold J. Stromberg, Todd R. Johnson
Using Common Table Expressions to Build a Scalable Boolean Query Generator for Clinical Data Warehouses. IEEE J. Biomed. Health Informatics 18 (5) (2014)
Anthony Rios, Robin Vanderpool, Pam Shaw, Ramakanth Kavuluru
A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. FLAIRS Conference (2013)
Zhiguo Yu, Todd R. Johnson, Ramakanth Kavuluru
Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine. ICMLA (1) (2013)
Ramakanth Kavuluru, Sifei Han, Daniel R. Harris
Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques. Canadian Conference on AI (2013)
Ramakanth Kavuluru, Zhenghao He
Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications. NLDB (2013)
Anthony Rios, Ramakanth Kavuluru
Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. ICHI (2013)
Ramakanth Kavuluru, Christopher Thomas, Amit P. Sheth, Victor Chan, Wenbo Wang, Alan Smith, Armando Soto, Amy Walters
An up-to-date knowledge-based literature search and exploration framework for focused bioscience domains. IHI (2012)
Ramakanth Kavuluru, Daniel R. Harris
A Knowledge-Based Approach to Syntactic Disambiguation of Biomedical Noun Compounds. COLING (Posters) (2012)
Darren W. Henderson, Daniel R. Harris, Ramakanth Kavuluru, Todd R. Johnson
Improving Scalability and Performance of i2b2 Query Processing Using Common Table Expressions. AMIA (2012)
Delroy Cameron, Ramakanth Kavuluru, Olivier Bodenreider, Pablo N. Mendes, Amit P. Sheth, Krishnaprasad Thirunarayan
Semantic Predications for Complex Information Needs in Biomedical Literature. BIBM (2011)
Keke Chen, Ramakanth Kavuluru, Shumin Guo
RASP: efficient multidimensional range query on attack-resilient encrypted databases. CODASPY (2011)
Ramakanth Kavuluru
-periodic binary sequences with fixed 2-error or 3-error linear complexity. Des. Codes Cryptogr. 53 (2) (2009)
Ramakanth Kavuluru, Andrew Klapper
Lower bounds on error complexity measures for periodic LFSR and FCSR sequences. Cryptogr. Commun. 1 (1) (2009)
Ramakanth Kavuluru, Andrew Klapper
-Periodic Binary Sequences. Selected Areas in Cryptography (2008)
Ramakanth Kavuluru
2n-Periodic Binary Sequences with Fixed k-Error Linear Complexity for k=2 or 3. SETA (2008)
Ramakanth Kavuluru, Andrew Klapper
-Operation Linear Complexity of Periodic Sequences. INDOCRYPT (2007)