On the k -Operation Linear Complexity of Periodic Sequences. - Ramakanth Kavuluru; Andrew Klapper (INDOCRYPT, 2007)

Counting Functions for the k-Error Linear Complexity of 2n-Periodic Binary Sequences. - Ramakanth Kavuluru; Andrew Klapper (Selected Areas in Cryptography, 2008)

2n-Periodic Binary Sequences with Fixed k-Error Linear Complexity for k=2 or 3. - Ramakanth Kavuluru (SETA, 2008)

Lower bounds on error complexity measures for periodic LFSR and FCSR sequences. - Ramakanth Kavuluru; Andrew Klapper (Cryptogr. Commun., 2009)

Characterization of 2n-periodic binary sequences with fixed 2-error or 3-error linear complexity. - Ramakanth Kavuluru (Des. Codes Cryptogr., 2009)

Semantic Predications for Complex Information Needs in Biomedical Literature. - Delroy Cameron; Ramakanth Kavuluru; Olivier Bodenreider; Pablo N. Mendes; Amit P. Sheth; Krishnaprasad Thirunarayan (BIBM, 2011)

RASP: efficient multidimensional range query on attack-resilient encrypted databases. - Keke Chen; Ramakanth Kavuluru; Shumin Guo (CODASPY, 2011)

Improving Scalability and Performance of i2b2 Query Processing Using Common Table Expressions. - Darren W. Henderson; Daniel R. Harris; Ramakanth Kavuluru; Todd R. Johnson (AMIA, 2012)

A Knowledge-Based Approach to Syntactic Disambiguation of Biomedical Noun Compounds. - Ramakanth Kavuluru; Daniel R. Harris (COLING (Posters), 2012)

An up-to-date knowledge-based literature search and exploration framework for focused bioscience domains. - Ramakanth Kavuluru; Christopher Thomas 001; Amit P. Sheth; Victor Chan; Wenbo Wang 002; Alan Smith 001; Armando Soto; Amy Walters (IHI, 2012)

Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques. - Ramakanth Kavuluru; Sifei Han; Daniel R. Harris (Canadian AI, 2013)

A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. - Anthony Rios; Robin Vanderpool; Pam Shaw; Ramakanth Kavuluru (FLAIRS, 2013)

Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. - Anthony Rios; Ramakanth Kavuluru (ICHI, 2013)

Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine. - Zhiguo Yu; Todd R. Johnson; Ramakanth Kavuluru (ICMLA (1), 2013)

Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications. - Ramakanth Kavuluru; Zhenghao He (NLDB, 2013)

A Knowledge-Based Collaborative Clinical Case Mining Framework. - Ramakanth Kavuluru; Anthony Rios; Brandon Kulengowski; Patrick McNamara (AMIA, 2014)

Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings. - Ramakanth Kavuluru; Yuan Lu (Data Knowl. Eng., 2014)

Using Common Table Expressions to Build a Scalable Boolean Query Generator for Clinical Data Warehouses. - Daniel R. Harris; Darren W. Henderson; Ramakanth Kavuluru; Arnold J. Stromberg; Todd R. Johnson (IEEE J. Biomed. Health Informatics, 2014)

On Assessing the Sentiment of General Tweets. - Sifei Han; Ramakanth Kavuluru (Canadian AI, 2015)

Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. - Ramakanth Kavuluru; Anthony Rios (AMIA, 2015)

Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. - Anthony Rios; Ramakanth Kavuluru (BCB, 2015)

Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. - Anthony Rios; Ramakanth Kavuluru (ICHI, 2015)

Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs. - Gokhan Bakal; Ramakanth Kavuluru (MIKE, 2015)

An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. - Ramakanth Kavuluru; Anthony Rios; Yuan Lu (Artif. Intell. Medicine, 2015)

Context-driven automatic subgraph creation for literature-based discovery. - Delroy Cameron; Ramakanth Kavuluru; Thomas C. Rindflesch; Amit P. Sheth; Krishnaprasad Thirunarayan; Olivier Bodenreider (J. Biomed. Informatics, 2015)

Mining EMR Data to Hypothesize Causal Associations for Depressive Disorders. - Orhan Abar; Ramakanth Kavuluru (AMIA, 2016)

On the Predictive Potential of Graph Patterns for Biomedical Relation Extraction. - Gokhan Bakal; Sergei Wallace; Ramakanth Kavuluru (AMIA, 2016)

Exploratory Analysis of Marketing Vs. Non-Marketing Tweets on E-Cigarettes. - Sifei Han; Ramakanth Kavuluru (AMIA, 2016)

On Interestingness Measures for Mining Statistically Significant and Novel Clinical Associations from EMRs. - Orhan Abar; Richard J. Charnigo; Abner Rayapati; Ramakanth Kavuluru (BCB, 2016)

Classification of Helpful Comments on Online Suicide Watch Forums. - Ramakanth Kavuluru; María Ramos-Morales; Tara Holaday; Amanda G. Williams; Laura Haye; Julie Cerel (BCB, 2016)

Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter. - Sifei Han; Ramakanth Kavuluru (SocInfo (2), 2016)

Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings and Distant Supervision. - A. K. M. Sabbir; Antonio Jimeno-Yepes; Ramakanth Kavuluru (CoRR, 2016)

Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter. - Ramakanth Kavuluru; A. K. M. Sabbir (J. Biomed. Informatics, 2016)

Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. - Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru (SMM4H@AMIA, 2017)

On quantifying diffusion of health information on Twitter. - Gokhan Bakal; Ramakanth Kavuluru (BHI, 2017)

Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings. - Akm Sabbir; Antonio Jimeno-Yepes; Ramakanth Kavuluru (BIBE, 2017)

Precision/Recall Trade-Off Analysis in Abnormal/Normal Heart Sound Classification. - Jeevith Bopaiah; Ramakanth Kavuluru (BDA, 2017)

Rapid and Reusable Text Visualization and Exploration Development with DELVE. - Daniel R. Harris; Ramakanth Kavuluru; Jerzy W. Jaromczyk; Todd R. Johnson (CRI, 2017)

Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. - Ramakanth Kavuluru; Anthony Rios; Tung Tran 001 (ICHI, 2017)

Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents. - Tung Tran 001; Ramakanth Kavuluru (MIKE, 2017)

Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting. - Jiho Noh; Ramakanth Kavuluru (TREC, 2017)

Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). - Anthony Rios; Tung Tran 001; Ramakanth Kavuluru (CLPsych@NAACL-HTL, 2018)

Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. - Anthony Rios; Ramakanth Kavuluru (EMNLP, 2018)

Document Retrieval for Biomedical Question Answering with Neural Sentence Matching. - Jiho Noh; Ramakanth Kavuluru (ICMLA, 2018)

EMR Coding with Semi-Parametric Multi-Head Matching Networks. - Anthony Rios; Ramakanth Kavuluru (NAACL-HLT, 2018)

A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. - Tung Tran 001; Ramakanth Kavuluru; Halil Kilicoglu (TAC, 2018)

Extracting chemical-protein relations with ensembles of SVM and deep learning models. - Yifan Peng 002; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (Database J. Biol. Databases Curation, 2018)

An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations. - Tung Tran 001; Ramakanth Kavuluru (Database J. Biol. Databases Curation, 2018)

Generalizing biomedical relation classification with neural adversarial domain adaptation. - Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (Bioinform., 2018)

Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. - Yifan Peng 002; Anthony Rios; Ramakanth Kavuluru; Zhiyong Lu (CoRR, 2018)

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. - Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; et al. (J. Am. Medical Informatics Assoc., 2018)

Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations. - Gokhan Bakal; Preetham Talari; Elijah V. Kakani; Ramakanth Kavuluru (J. Biomed. Informatics, 2018)

Non-Negative Matrix Factorization for Drug Repositioning: Experiments with the repoDB Dataset. - Mehmet G. Bakal; Halil Kilicoglu; Ramakanth Kavuluru (AMIA, 2019)

Clinical Text Mining in Mental Health. - Jessica D. Tenenbaum; Ramakanth Kavuluru; Thomas H. McCoy; Özlem Uzuner; Sumithra Velupillai (AMIA, 2019)

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. - Manas Gaur; Amanuel Alambo; Joy Prakash Sain; Ugur Kursuncu; Krishnaprasad Thirunarayan; Ramakanth Kavuluru; Amit P. Sheth; Randy S. Welton; Jyotishman Pathak (WWW, 2019)

Neural transfer learning for assigning diagnosis codes to EMRs. - Anthony Rios; Ramakanth Kavuluru (Artif. Intell. Medicine, 2019)

Distant supervision for treatment relation extraction by leveraging MeSH subheadings. - Tung Tran 001; Ramakanth Kavuluru (Artif. Intell. Medicine, 2019)

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. - Rezarta Islamaj Dogan; Sun Kim; Andrew Chatr-aryamontri; Chih-Hsuan Wei; Donald C. Comeau; Rui Antunes 002; Sérgio Matos; Qingyu Chen 001; Aparna Elangovan; Nagesh C. Panyam; Karin Verspoor; Hongfang Liu; et al. (Database J. Biol. Databases Curation, 2019)

Neural Metric Learning for Fast End-to-End Relation Extraction. - Tung Tran 001; Ramakanth Kavuluru (CoRR, 2019)

Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels. - Tung Tran 001; Ramakanth Kavuluru; Halil Kilicoglu (CoRR, 2019)

Cross-registry neural domain adaptation to extract mutational test results from pathology reports. - Anthony Rios; Eric B. Durbin; Isaac Hands; Susanne M. Arnold; Darshil Shah; Stephen M. Schwartz; Bernardo H. L. Goulart; Ramakanth Kavuluru (J. Biomed. Informatics, 2019)

Document Reranking for Precision Medicine with Neural Matching and Faceted Summarization. - Jiho Noh; Ramakanth Kavuluru (EMNLP (Findings), 2020)

Weakly-Supervised Feature Learning via Text and Image Matching. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (CoRR, 2020)

Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization. - Jiho Noh; Ramakanth Kavuluru (CoRR, 2020)

Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer. - Sajjad Fouladvand; Jeffery C. Talbert; Linda P. Dwoskin; Heather M. Bush; Amy Lynn Meadows; Lars E. Peterson; Steve K. Roggenkamp; Ramakanth Kavuluru; Jin Chen 004 (AMIA, 2021)

Joint learning for biomedical NER and entity normalization: encoding schemes, counterfactual examples, and zero-shot evaluation. - Jiho Noh; Ramakanth Kavuluru (BCB, 2021)

Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. - Anthony Rios; Eric B. Durbin; Isaac Hands; Ramakanth Kavuluru (BCB, 2021)

Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter. - Mohammad Soleymanpour; Sofia Saderholm; Ramakanth Kavuluru (BIBM, 2021)

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer. - Sajjad Fouladvand; Jeffery C. Talbert; Linda P. Dwoskin; Heather Bush; Amy Lynn Meadows; Lars E. Peterson; Ramakanth Kavuluru; Jin Chen 004 (CoRR, 2021)

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Rui Zhang 028; et al. (CoRR, 2021)

Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels. - Tung Tran 001; Ramakanth Kavuluru; Halil Kilicoglu (ACM Trans. Comput. Heal., 2021)

Identifying current Juul users among emerging adults through Twitter feeds. - Tung Tran 001; Melinda J. Ickes; Jakob W. Hester; Ramakanth Kavuluru (Int. J. Medical Informatics, 2021)

Improved biomedical word embeddings in the transformer era. - Jiho Noh; Ramakanth Kavuluru (J. Biomed. Informatics, 2021)

DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance. - Harry Hochheiser; Sean Finan; Zhou Yuan; John D. Levander; Eric B. Durbin; Isaac Hands; Ramakanth Kavuluru; Jeremy L. Warner; Guergana Savova (AMIA, 2022)

Opinions on Homeopathy for COVID-19 on Twitter. - Jeevith Bopaiah; Kiran Garimella; Ramakanth Kavuluru (WebSci, 2022)

Deep neural networks for fine-grained surveillance of overdose mortality. - Patrick J. Ward; April M. Young; Svetla Slavova; Madison Liford; Lara Daniels; Ripley Lucas; Ramakanth Kavuluru (CoRR, 2022)

Tracking sentiments toward fat acceptance over a decade on Twitter. - Sadie Bograd; Benjamin Chen; Ramakanth Kavuluru (Health Informatics J., 2022)

Toward informatics-enabled preparedness for natural hazards to minimize health impacts of climate change. - Jimmy Phuong; Naomi O. Riches; Luca Calzoni; Gora Datta; Deborah Duran; Asiyah Yu Lin; Ramesh P. Singh; Anthony E. Solomonides; Noreen Whysel; Ramakanth Kavuluru (J. Am. Medical Informatics Assoc., 2022)

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. - 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; et al. (npj Digit. Medicine, 2022)

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xin Xing 002; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (IEEE J. Biomed. Health Informatics, 2022)

ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps. - Yu Zhao 010; Ting Su 001; Yang Liu 003; Wei Zheng 006; Xiaoxue Wu 001; Ramakanth Kavuluru; William G. J. Halfond; Tingting Yu 001 (ACM Trans. Softw. Eng. Methodol., 2022)

End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. - Xuguang Ai; Ramakanth Kavuluru (ICHI, 2023)

End-to-End n-ary Relation Extraction for Combination Drug Therapies. - Yuhang Jiang; Ramakanth Kavuluru (ICHI, 2023)

COVID-19 Event Extraction from Twitter via Extractive Question Answering with Continuous Prompts. - Yuhang Jiang; Ramakanth Kavuluru (MedInfo, 2023)

Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case. - Shashank Gupta; Xuguang Ai; Ramakanth Kavuluru (CoRR, 2023)

A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models. - 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 004 (IEEE J. Biomed. Health Informatics, 2023)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. - Monika Jain; Raghava Mutharaju; Ramakanth Kavuluru; Kuldeep Singh (AAAI, 2024)

Knowledge-Driven Cross-Document Relation Extraction. - Monika Jain; Raghava Mutharaju; Kuldeep Singh; Ramakanth Kavuluru (ACL (Findings), 2024)

How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction? - Aviv Brokman; Ramakanth Kavuluru (CoRR, 2024)

Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization. - Md Sultan Al Nahian; Ramakanth Kavuluru (CoRR, 2024)

Do LLMs Surpass Encoders for Biomedical NER? - Motasem S. Obeidat; Md Sultan Al Nahian; Ramakanth Kavuluru (ICHI, 2025)

How Important is Domain-Specific Language Model Pretraining and Instruction Finetuning for Biomedical Relation Extraction? - Aviv Brokman; Ramakanth Kavuluru (NLDB (1), 2025)

Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction. - Shashank Gupta; Xuguang Ai; Yuhang Jiang; Ramakanth Kavuluru (NLDB (1), 2025)

Relation Extraction with Instance-Adapted Predicate Descriptions. - Yuhang Jiang; Ramakanth Kavuluru (CoRR, 2025)

A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models. - Aviv Brokman; Xuguang Ai; Yuhang Jiang; Shashank Gupta; Ramakanth Kavuluru (CoRR, 2025)

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records. - Md Sultan Al Nahian; Chris Delcher; Daniel R. Harris; Peter Akpunonu; Ramakanth Kavuluru (CoRR, 2025)

A survey of NLP methods for oncology in the past decade with a focus on cancer registry applications. - Isaac Hands; Ramakanth Kavuluru (Artif. Intell. Rev., 2025)