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ORCIDRamakanth 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- [i18]Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh:
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. CoRR abs/2401.11800 (2024) - [i17]Aviv Brokman, Ramakanth Kavuluru:
How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction? CoRR abs/2402.13470 (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 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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