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Ramakanth Kavuluru
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- affiliation: University of Kentucky, Division of Biomedical Informatics, Department of Internal Medicine, Lexington, KY, USA
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2020 – today
- 2024
- [c51]Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh:
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. AAAI 2024: 18327-18335 - [i19]Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh:
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. CoRR abs/2401.11800 (2024) - [i18]Aviv Brokman, Ramakanth Kavuluru:
How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction? CoRR abs/2402.13470 (2024) - [i17]Monika Jain, Raghava Mutharaju, Kuldeep Singh, Ramakanth Kavuluru:
Knowledge-Driven Cross-Document Relation Extraction. CoRR abs/2405.13546 (2024) - 2023
- [j26]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): 2036-2040 (2023) - [j25]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): 3589-3598 (2023) - [c50]Yuhang Jiang, Ramakanth Kavuluru:
End-to-End n-ary Relation Extraction for Combination Drug Therapies. ICHI 2023: 72-80 - [c49]Xuguang Ai, Ramakanth Kavuluru:
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. ICHI 2023: 610-618 - [c48]Yuhang Jiang, Ramakanth Kavuluru:
COVID-19 Event Extraction from Twitter via Extractive Question Answering with Continuous Prompts. MedInfo 2023: 674-678 - [i16]Yuhang Jiang, Ramakanth Kavuluru:
COVID-19 event extraction from Twitter via extractive question answering with continuous prompts. CoRR abs/2303.10659 (2023) - [i15]Yuhang Jiang, Ramakanth Kavuluru:
End-to-End n-ary Relation Extraction for Combination Drug Therapies. CoRR abs/2303.16886 (2023) - [i14]Xuguang Ai, Ramakanth Kavuluru:
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. CoRR abs/2304.01344 (2023) - [i13]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 abs/2311.13729 (2023) - 2022
- [j24]Sadie Bograd, Benjamin Chen, Ramakanth Kavuluru:
Tracking sentiments toward fat acceptance over a decade on Twitter. Health Informatics J. 28(1): 146045822110657 (2022) - [j23]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): 2161-2167 (2022) - [j22]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) - [j21]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): 1640-1649 (2022) - [j20]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): 36:1-36:33 (2022) - [c47]Harry Hochheiser, Sean Finan, Zhou Yuan, John D. 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 - [c46]Jeevith Bopaiah, Kiran Garimella, Ramakanth Kavuluru:
Opinions on Homeopathy for COVID-19 on Twitter. WebSci 2022: 359-363 - [i12]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 abs/2202.12448 (2022) - 2021
- [j19]Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels. ACM Trans. Comput. Heal. 2(2): 10:1-10:19 (2021) - [j18]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: 104350 (2021) - [j17]Jiho Noh
, Ramakanth Kavuluru
:
Improved biomedical word embeddings in the transformer era. J. Biomed. Informatics 120: 103867 (2021) - [c45]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 - [c44]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: 32:1-32:10 - [c43]Jiho Noh
, Ramakanth Kavuluru:
Joint learning for biomedical NER and entity normalization: encoding schemes, counterfactual examples, and zero-shot evaluation. BCB 2021: 55:1-55:10 - [c42]Mohammad Soleymanpour, Sofia Saderholm, Ramakanth Kavuluru:
Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter. BIBM 2021: 3083-3088 - [i11]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 abs/2103.08800 (2021) - [i10]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 abs/2110.10780 (2021) - 2020
- [c41]Jiho Noh
, Ramakanth Kavuluru:
Document Reranking for Precision Medicine with Neural Matching and Faceted Summarization. EMNLP (Findings) 2020: 3389-3399 - [i9]Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs:
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR abs/2010.03060 (2020) - [i8]Jiho Noh, Ramakanth Kavuluru:
Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization. CoRR abs/2012.09355 (2020) - [i7]Jiho Noh, Ramakanth Kavuluru:
Improved Biomedical Word Embeddings in the Transformer Era. CoRR abs/2012.11808 (2020)
2010 – 2019
- 2019
- [j16]Anthony Rios
, Ramakanth Kavuluru:
Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine 96: 116-122 (2019) - [j15]Tung Tran, Ramakanth Kavuluru:
Distant supervision for treatment relation extraction by leveraging MeSH subheadings. Artif. Intell. Medicine 98: 18-26 (2019) - [j14]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: bay147 (2019) - [j13]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) - [c40]Mehmet G. Bakal, Halil Kilicoglu, Ramakanth Kavuluru:
Non-Negative Matrix Factorization for Drug Repositioning: Experiments with the repoDB Dataset. AMIA 2019 - [c39]Jessica D. Tenenbaum, Ramakanth Kavuluru, Thomas H. McCoy, Özlem Uzuner, Sumithra Velupillai:
Clinical Text Mining in Mental Health. AMIA 2019 - [c38]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: 514-525 - [i6]Tung Tran, Ramakanth Kavuluru:
Neural Metric Learning for Fast End-to-End Relation Extraction. CoRR abs/1905.07458 (2019) - [i5]Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. CoRR abs/1905.07464 (2019) - [i4]Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels. CoRR abs/1910.12419 (2019) - 2018
- [j12]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: bay073 (2018) - [j11]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: bay092 (2018) - [j10]Anthony Rios
, Ramakanth Kavuluru, Zhiyong Lu:
Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. 34(17): 2973-2981 (2018) - [j9]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): 1274-1283 (2018) - [j8]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: 189-199 (2018) - [c37]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: 107-112 - [c36]Anthony Rios
, Ramakanth Kavuluru:
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP 2018: 3132-3142 - [c35]Jiho Noh
, Ramakanth Kavuluru:
Document Retrieval for Biomedical Question Answering with Neural Sentence Matching. ICMLA 2018: 194-201 - [c34]Anthony Rios
, Ramakanth Kavuluru:
EMR Coding with Semi-Parametric Multi-Head Matching Networks. NAACL-HLT 2018: 2081-2091 - [i3]Tung Tran, Ramakanth Kavuluru, Halil Kilicoglu:
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. TAC 2018 - [i2]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR abs/1802.01255 (2018) - 2017
- [c33]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: 49-53 - [c32]Gokhan Bakal
, Ramakanth Kavuluru
:
On quantifying diffusion of health information on Twitter. BHI 2017: 485-488 - [c31]Akm Sabbir, Antonio Jimeno-Yepes
, Ramakanth Kavuluru:
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings. BIBE 2017: 163-170 - [c30]Jeevith Bopaiah, Ramakanth Kavuluru:
Precision/Recall Trade-Off Analysis in Abnormal/Normal Heart Sound Classification. BDA 2017: 179-194 - [c29]Daniel R. Harris, Ramakanth Kavuluru, Jerzy W. Jaromczyk, Todd R. Johnson:
Rapid and Reusable Text Visualization and Exploration Development with DELVE. CRI 2017 - [c28]Ramakanth Kavuluru, Anthony Rios
, Tung Tran:
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI 2017: 5-12 - [c27]Tung Tran, Ramakanth Kavuluru:
Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents. MIKE 2017: 22-34 - [c26]Jiho Noh, Ramakanth Kavuluru:
Team UKNLP at TREC 2017 Precision Medicine Track: A Knowledge-Based IR System with Tuned Query-Time Boosting. TREC 2017 - 2016
- [j7]Ramakanth Kavuluru
, A. K. M. Sabbir:
Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter. J. Biomed. Informatics 61: 19-26 (2016) - [c25]Orhan Abar, Ramakanth Kavuluru:
Mining EMR Data to Hypothesize Causal Associations for Depressive Disorders. AMIA 2016 - [c24]Gokhan Bakal, Sergei Wallace, Ramakanth Kavuluru:
On the Predictive Potential of Graph Patterns for Biomedical Relation Extraction. AMIA 2016 - [c23]Sifei Han, Ramakanth Kavuluru:
Exploratory Analysis of Marketing Vs. Non-Marketing Tweets on E-Cigarettes. AMIA 2016 - [c22]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: 32-40 - [c21]Orhan Abar, Richard J. Charnigo, Abner Rayapati, Ramakanth Kavuluru
:
On Interestingness Measures for Mining Statistically Significant and Novel Clinical Associations from EMRs. BCB 2016: 587-594 - [c20]Sifei Han
, Ramakanth Kavuluru
:
Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter. SocInfo (2) 2016: 307-322 - [i1]A. K. M. Sabbir, Antonio Jimeno-Yepes, Ramakanth Kavuluru:
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings and Distant Supervision. CoRR abs/1610.08557 (2016) - 2015
- [j6]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): 155-166 (2015) - [j5]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: 141-157 (2015) - [c19]Sifei Han
, Ramakanth Kavuluru
:
On Assessing the Sentiment of General Tweets. Canadian AI 2015: 181-195 - [c18]Ramakanth Kavuluru, Anthony Rios:
Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. AMIA 2015 - [c17]Anthony Rios
, Ramakanth Kavuluru
:
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB 2015: 258-267 - [c16]Anthony Rios
, Ramakanth Kavuluru
:
Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. ICHI 2015: 1-7 - [c15]Gokhan Bakal
, Ramakanth Kavuluru
:
Predicting Treatment Relations with Semantic Patterns over Biomedical Knowledge Graphs. MIKE 2015: 586-596 - 2014
- [j4]Ramakanth Kavuluru
, Yuan Lu:
Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings. Data Knowl. Eng. 94: 189-201 (2014) - [j3]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): 1607-1613 (2014) - [c14]Ramakanth Kavuluru, Anthony Rios, Brandon Kulengowski, Patrick McNamara:
A Knowledge-Based Collaborative Clinical Case Mining Framework. AMIA 2014 - 2013
- [c13]Ramakanth Kavuluru
, Sifei Han
, Daniel R. Harris
:
Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques. Canadian AI 2013: 77-88 - [c12]Anthony Rios, Robin Vanderpool, Pam Shaw, Ramakanth Kavuluru:
A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. FLAIRS 2013 - [c11]Anthony Rios
, Ramakanth Kavuluru
:
Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. ICHI 2013: 66-73 - [c10]Zhiguo Yu, Todd R. Johnson, Ramakanth Kavuluru
:
Phrase Based Topic Modeling for Semantic Information Processing in Biomedicine. ICMLA (1) 2013: 440-445 - [c9]Ramakanth Kavuluru
, Zhenghao He:
Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications. NLDB 2013: 176-188 - 2012
- [c8]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 - [c7]Ramakanth Kavuluru, Daniel R. Harris:
A Knowledge-Based Approach to Syntactic Disambiguation of Biomedical Noun Compounds. COLING (Posters) 2012: 559-568 - [c6]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: 275-284 - 2011
- [c5]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: 512-519 - [c4]Keke Chen, Ramakanth Kavuluru
, Shumin Guo:
RASP: efficient multidimensional range query on attack-resilient encrypted databases. CODASPY 2011: 249-260
2000 – 2009
- 2009
- [j2]Ramakanth Kavuluru
, Andrew Klapper:
Lower bounds on error complexity measures for periodic LFSR and FCSR sequences. Cryptogr. Commun. 1(1): 95-116 (2009) - [j1]Ramakanth Kavuluru
:
Characterization of 2n-periodic binary sequences with fixed 2-error or 3-error linear complexity. Des. Codes Cryptogr. 53(2): 75-97 (2009) - 2008
- [c3]Ramakanth Kavuluru
, Andrew Klapper:
Counting Functions for the k-Error Linear Complexity of 2n-Periodic Binary Sequences. Selected Areas in Cryptography 2008: 151-164 - [c2]Ramakanth Kavuluru
:
2n-Periodic Binary Sequences with Fixed k-Error Linear Complexity for k=2 or 3. SETA 2008: 252-265 - 2007
- [c1]Ramakanth Kavuluru
, Andrew Klapper:
On the k -Operation Linear Complexity of Periodic Sequences. INDOCRYPT 2007: 322-330
Coauthor Index
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