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ORCIDSanguthevar Rajasekaran
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- affiliation: University of Connecticut, USA
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2020 – today
- 2024
[j120]Namitha Pais
, Nalini Ravishanker, Sanguthevar Rajasekaran:
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series. Algorithms 17(7): 275 (2024)- [j119]Patrick Toman, Nalini Ravishanker, Nathan Lally, Sanguthevar Rajasekaran:
Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series. Future Internet 16(1): 8 (2024) - [i20]Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR abs/2406.14449 (2024) - 2023
- [j118]Mohammed G. Albayati, Jalal Faraj, Amy E. Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran:
Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit. Big Data Min. Anal. 6(2): 170-184 (2023) - [j117]Mukul S. Bansal, Ion I. Mandoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky:
Special Issue: 11th International Computational Advances in Bio and Medical Sciences (ICCABS 2021). J. Comput. Biol. 30(4): 363-365 (2023) - [c186]Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran:
SuperBlocking: An Efficient Blocking Technique for Record Linkage. IEEE Big Data 2023: 498-503 - [c185]Nachiket Deo, Sanguthevar Rajasekaran, Rany Kamel:
Identifying suitable attributes for Record Linkage using Association Analysis. IEEE Big Data 2023: 5753-5760 - [c184]Nachiket Deo, Joyanta Basak, Ahmed Soliman, Daniel Weinberg, Rebecca C. Steorts, Sanguthevar Rajasekaran:
Novel Blocking Techniques and Distance Metrics for Record Linkage. iiWAS 2023: 431-446 - [c183]Joyanta Basak, Ahmed Soliman, Nachiket Deo, Kenneth Haase, Anup Mathur, Krista Park, Rebecca C. Steorts, Daniel Weinberg, Sartaj Sahni, Sanguthevar Rajasekaran:
On Computing the Jaro Similarity Between Two Strings. ISBRA 2023: 31-44 - [c182]Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo:
Understanding Insured Behavior through Causal Impact Analysis of IoT Streams. ISCSIC 2023: 349-357 - [c181]Zigeng Wang, Bingbing Li, Xia Xiao, Tianyun Zhang, Mikhail A. Bragin, Bing Yan, Caiwen Ding, Sanguthevar Rajasekaran:
Automatic Subnetwork Search Through Dynamic Differentiable Neuron Pruning. ISQED 2023: 1-6 - 2022
- [j116]Ahmed Soliman, Sanguthevar Rajasekaran:
FIRLA: a Fast Incremental Record Linkage Algorithm. J. Biomed. Informatics 130: 104094 (2022) - [c180]Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) 2022: 190-200 - [c179]Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran:
Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. IEEE Big Data 2022: 5823-5832 - [c178]Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran:
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN 2022: 1-8 - [e13]Mukul S. Bansal, Ion I. Mandoiu, Marmar Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky:
Computational Advances in Bio and Medical Sciences: 11th International Conference, ICCABS 2021, Virtual Event, December 16-18, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13254, Springer International Publishing 2022, ISBN 978-3-031-17530-5 [contents] - [i19]Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. CoRR abs/2201.11934 (2022) - 2021
- [j115]Ion I. Mandoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky:
Special Issue: 9th International Computational Advances in Bio and Medical Sciences (ICCABS 2019). J. Comput. Biol. 28(2): 115-116 (2021) - [j114]Sumit Kumar Jha, Ion I. Mandoiu, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky:
Special Issue: 10th International Computational Advances in Bio and Medical Sciences (ICCABS 2020). J. Comput. Biol. 28(11): 1033-1034 (2021) - [j113]Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
A Novel Pathway Network Analytics Method Based on Graph Theory. J. Comput. Biol. 28(11): 1104-1112 (2021) - [j112]Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran:
EMS3: An Improved Algorithm for Finding Edit-Distance Based Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 27-37 (2021) - [c177]Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding:
TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) 2021: 3600-3610 - [c176]Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) 2021: 7676-7682 - [c175]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
Against Membership Inference Attack: Pruning is All You Need. IJCAI 2021: 3141-3147 - [c174]Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo:
A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection. WF-IoT 2021: 663-668 - [e12]Sumit Kumar Jha, Ion I. Mandoiu, Sanguthevar Rajasekaran, Pavel Skums, Alex Zelikovsky:
Computational Advances in Bio and Medical Sciences - 10th International Conference, ICCABS 2020, Virtual Event, December 10-12, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12686, Springer 2021, ISBN 978-3-030-79289-3 [contents] - [i18]Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding:
TAG: Transformer Attack from Gradient. CoRR abs/2103.06819 (2021) - 2020
- [j111]Zigeng Wang, Xia Xiao, Sanguthevar Rajasekaran:
Novel and efficient randomized algorithms for feature selection. Big Data Min. Anal. 3(3): 208-224 (2020) - [j110]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143: 47-66 (2020) - [c173]Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. ADMA 2020: 30-37 - [c172]Subrata Saha, Zigeng Wang, Sanguthevar Rajasekaran:
HMSC: a Hybrid Metagenomic Sequence Classification Algorithm. BCB 2020: 19:1-19:6 - [c171]Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
RSGSA: a Robust and Stable Gene Selection Algorithm. BIBM 2020: 481-485 - [c170]Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
A Novel Pathway Network Analytics Method Based on Graph Theory. ICCABS 2020: 45-55 - [c169]Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran:
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN 2020: 1-8 - [e11]Ion I. Mandoiu, T. M. Murali, Giri Narasimhan, Sanguthevar Rajasekaran, Pavel Skums, Alexander Zelikovsky:
Computational Advances in Bio and Medical Sciences - 9th International Conference, ICCABS 2019, Miami, FL, USA, November 15-17, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12029, Springer 2020, ISBN 978-3-030-46164-5 [contents] - [i17]Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran:
MSPP: A Highly Efficient and Scalable Algorithm for Mining Similar Pairs of Points. CoRR abs/2007.16111 (2020) - [i16]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR abs/2008.13578 (2020) - [i15]Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran:
SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR abs/2009.06228 (2020)
2010 – 2019
- 2019
- [j109]Subrata Saha, Jethro Johnson, Soumitra Pal, George M. Weinstock, Sanguthevar Rajasekaran:
MSC: a metagenomic sequence classification algorithm. Bioinform. 35(17): 2932-2940 (2019) - [j108]Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran:
Efficient Algorithms for Finding the Closest $l$l-Mers in Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1912-1921 (2019) - [c168]Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran:
Efficient Algorithms for Finding Edit-Distance Based Motifs. AlCoB 2019: 212-223 - [c167]Abdullah Baihan, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering. BIBM 2019: 926-930 - [c166]Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CIKM 2019: 1743-1752 - [c165]Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran:
Adversarial Structured Neural Network Pruning. CIKM 2019: 2433-2436 - [c164]Zigeng Wang, Sanguthevar Rajasekaran:
Efficient Randomized Feature Selection Algorithms. HPCC/SmartCity/DSS 2019: 796-803 - [c163]Abdullah Baihan, Reda Ammar, Robert H. Aseltine, Mohammed Baihan, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage. ICCABS 2019: 26-38 - [c162]Hussain Albarakati, Reda Ammar, Raafat S. Elfouly, Sanguthevar Rajasekaran:
Real-Time Decision Making for Underwater Big Data Applications Using the Apriori Algorithm. ISCC 2019: 1-7 - [c161]Hussain Albarakati, Reda Ammar, Raafat S. Elfouly, Sanguthevar Rajasekaran:
Geometry-Assisted Multi Surface-Gateways Placement Topologies for Underwater Sensor Networks. ISSPIT 2019: 1-7 - [c160]Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran:
DTWNet: a Dynamic Time Warping Network. NeurIPS 2019: 11636-11646 - [c159]Xia Xiao, Zigeng Wang, Sanguthevar Rajasekaran:
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters. NeurIPS 2019: 13681-13691 - [c158]Badar Almarri, Sanguthevar Rajasekaran, Chun-Hsi Huang:
Unsupervised Similarity-based Sensor Selection for Time Series Data. UEMCON 2019: 395-400 - 2018
- [j107]Robert Martin, Sanguthevar Rajasekaran:
Information centric approach to analysing security threats and node behaviour in underwater senor networks. Int. J. Secur. Networks 13(3): 139-152 (2018) - [j106]Kenneth F. Lyon, Xingyu Cai, Richard J. Young, Abdullah-Al Mamun, Sanguthevar Rajasekaran, Martin R. Schiller:
Minimotif Miner 4: a million peptide minimotifs and counting. Nucleic Acids Res. 46(Database-Issue): D465-D470 (2018) - [c157]Peng Xiao, Zigeng Wang, Sanguthevar Rajasekaran:
Novel Speedup Techniques for Parallel Singular Value Decomposition. HPCC/SmartCity/DSS 2018: 188-195 - [c156]Xia Xiao, Sanguthevar Rajasekaran:
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control. ICANN (3) 2018: 414-424 - [c155]Sudipta Pathak, Xingyu Cai, Sanguthevar Rajasekaran:
Ensemble Deep TimeNet: An Ensemble Learning Approach with Deep Neural Networks for Time Series. ICCABS 2018: 1 - [c154]Peng Xiao, Xingyu Cai, Sanguthevar Rajasekaran:
EMS3: An Improved Algorithm for Finding Edit-distance Based Motifs. ICCABS 2018: 1 - [c153]Xingyu Cai, Sanguthevar Rajasekaran, Fan Zhang:
Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces. PAKDD (3) 2018: 151-163 - [c152]Xingyu Cai, Shanglin Zhou, Sanguthevar Rajasekaran:
JUMP: A Fast Deterministic Algorithm to Find the Closest Pair of Subsequences. SDM 2018: 73-80 - [p2]Sudha Balla, Jaime I. Dávila, Marius Nicolae, Sanguthevar Rajasekaran:
Approximation Algorithms for the Primer Selection, PlantedMotif Search, and Related Problems. Handbook of Approximation Algorithms and Metaheuristics (2) 2018 - [i14]Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CoRR abs/1805.11775 (2018) - 2017
- [j105]Peng Xiao, Soumitra Pal, Sanguthevar Rajasekaran:
Randomised sequential and parallel algorithms for efficient quorum planted motif search. Int. J. Data Min. Bioinform. 18(2): 105-124 (2017) - [j104]Marius Nicolae, Sanguthevar Rajasekaran:
On pattern matching with k mismatches and few don't cares. Inf. Process. Lett. 118: 78-82 (2017) - [c151]Xingyu Cai, Abdullah-Al Mamun, Sanguthevar Rajasekaran:
Novel algorithms for finding the closest l-mers in biological data. BIBM 2017: 525-528 - [c150]Peng Xiao, Sanguthevar Rajasekaran:
Efficient exact algorithms for LDD motif search. ICCABS 2017: 1 - [c149]Sanguthevar Rajasekaran, Subrata Saha, Xingyu Cai:
Novel Exact and Approximate Algorithms for the Closest Pair Problem. ICDM 2017: 1045-1050 - [c148]Robert Martin, Sanguthevar Rajasekaran, Zheng Peng:
Aqua-Sim Next Generation: An NS-3 Based Underwater Sensor Network Simulator. WUWNet 2017: 3:1-3:8 - 2016
- [j103]Subrata Saha, Sanguthevar Rajasekaran:
Authors' response to 'Comment on: ERGC: An efficient Referential Genome Compression Algorithm'. Bioinform. 32(7): 1118-1119 (2016) - [j102]Abdullah-Al Mamun, Soumitra Pal, Sanguthevar Rajasekaran:
KCMBT: a k-mer Counter based on Multiple Burst Trees. Bioinform. 32(18): 2783-2790 (2016) - [j101]Subrata Saha, Sanguthevar Rajasekaran:
NRGC: a novel referential genome compression algorithm. Bioinform. 32(22): 3405-3412 (2016) - [c147]Subrata Saha, Sanguthevar Rajasekaran:
POMP: a powerful splice mapper for RNA-seq reads. BCB 2016: 414-421 - [c146]Peng Xiao, Soumitra Pal, Sanguthevar Rajasekaran:
qPMS10: A randomized algorithm for efficiently solving quorum Planted Motif Search problem. BIBM 2016: 670-675 - [c145]Sanguthevar Rajasekaran, Subrata Saha:
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study: Algorithms for the Two Locus Problem. CIKM 2016: 2305-2310 - [c144]Soumitra Pal, Sudipta Pathak, Sanguthevar Rajasekaran:
On Speeding-Up Parallel Jacobi Iterations for SVDs. HPCC/SmartCity/DSS 2016: 9-16 - [c143]Sanguthevar Rajasekaran, Subrata Saha:
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study. ICDM 2016: 1155-1160 - [c142]Abdullah-Al Mamun, Sanguthevar Rajasekaran:
An efficient Minimum Spanning Tree algorithm. ISCC 2016: 1047-1052 - [c141]Sherif Tolba, Reda Ammar, Sanguthevar Rajasekaran:
Taking swarms to the field: Constrained Spiral Flocking for underwater search. ISCC 2016: 1177-1184 - [c140]Aljoharah Algwaiz, Sanguthevar Rajasekaran, Reda Ammar:
Data mining using Probabilistic Grammars. ISSPIT 2016: 323-326 - [c139]Sanguthevar Rajasekaran, Marius Nicolae:
An Error Correcting Parser for Context Free Grammars that Takes Less Than Cubic Time. LATA 2016: 533-546 - [i13]Marius Nicolae, Sanguthevar Rajasekaran:
On pattern matching with k mismatches and few don't cares. CoRR abs/1602.00621 (2016) - [i12]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR abs/1610.07184 (2016) - 2015
- [j100]Marius Nicolae, Sanguthevar Rajasekaran:
On String Matching with Mismatches. Algorithms 8(2): 248-270 (2015) - [j99]Subrata Saha, Sanguthevar Rajasekaran:
ERGC: an efficient referential genome compression algorithm. Bioinform. 31(21): 3468-3475 (2015) - [j98]Mai A. Hamdalla, Reda A. Ammar, Sanguthevar Rajasekaran:
A molecular structure matching approach to efficient identification of endogenous mammalian biochemical structures. BMC Bioinform. 16(S-5): S11 (2015) - [j97]Subrata Saha, Sanguthevar Rajasekaran:
EC: an efficient error correction algorithm for short reads. BMC Bioinform. 16(S17): S2 (2015) - [j96]Subrata Saha, Sanguthevar Rajasekaran, Rampi Ramprasad:
Novel Randomized Feature Selection Algorithms. Int. J. Found. Comput. Sci. 26(3): 321-342 (2015) - [j95]Manal Al-Bzoor, Yibo Zhu, Jun Liu, Reda A. Ammar, Jun-Hong Cui, Sanguthevar Rajasekaran:
An adaptive power controlled routing protocol for underwater sensor network. Int. J. Sens. Networks 18(3/4): 238-249 (2015) - [j94]Mai Hamdalla, Sanguthevar Rajasekaran, David F. Grant, Ion I. Mandoiu:
Metabolic Pathway Predictions for Metabolomics: A Molecular Structure Matching Approach. J. Chem. Inf. Model. 55(3): 709-718 (2015) - [j93]Kishori M. Konwar, Sanguthevar Rajasekaran, Alexander A. Shvartsman:
Robust network supercomputing with unreliable workers. J. Parallel Distributed Comput. 75: 81-92 (2015) - [c138]Subrata Saha, Sanguthevar Rajasekaran:
HECTOR: a novel paradigm for correcting short reads. BCB 2015: 57-66 - [c137]Soumitra Pal, Sanguthevar Rajasekaran:
Improved algorithms for finding edit distance based motifs. BIBM 2015: 537-542 - [c136]Abdullah-Al Mamun, Soumitra Pal, Sanguthevar Rajasekaran:
Efficient techniques for k-mer counting. ICCABS 2015: 1 - [c135]Sanguthevar Rajasekaran, Srinivas Aluru, David A. Bader:
HiCOMB Introduction and Committees. IPDPS Workshops 2015: 329-330 - [c134]Subrata Saha, Sanguthevar Rajasekaran:
NRRC: A Non-referential Reads Compression Algorithm. ISBRA 2015: 297-308 - [c133]Sherif Tolba, Reda A. Ammar, Sanguthevar Rajasekaran:
Taking swarms to the field: A framework for underwater mission planning. ISCC 2015: 1007-1013 - [c132]Manal Alharbi, Sanguthevar Rajasekaran:
Conjunctive combined causal rules mining. ISSPIT 2015: 28-33 - [c131]Manal Alharbi, Sanguthevar Rajasekaran:
Disjunctive combined causal rules mining. ISSPIT 2015: 40-45 - [c130]Aljoharah Algwaiz, Sanguthevar Rajasekaran, Reda Ammar:
Predicting E. Coli promoters using formal grammars. ISSPIT 2015: 544-547 - [c129]Robert Martin, Yibo Zhu, Lina Pu, Fei Dou, Zheng Peng, Jun-Hong Cui, Sanguthevar Rajasekaran:
Aqua-Sim Next Generation: A NS-3 Based Simulator for Underwater Sensor Networks. WUWNet 2015: 18:1-18:2 - [e10]Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce:
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6799-8 [contents] - 2014
- [j92]Marius Nicolae, Sanguthevar Rajasekaran:
Efficient Sequential and Parallel Algorithms for Planted Motif Search. BMC Bioinform. 15: 34 (2014) - [j91]Shibdas Bandyopadhyay, Sartaj Sahni, Sanguthevar Rajasekaran:
PMS6: a fast algorithm for motif discovery. Int. J. Bioinform. Res. Appl. 10(4/5): 369-383 (2014) - [j90]Dolly Sharma, Sanguthevar Rajasekaran, Sudipta Pathak:
An experimental comparison of PMSprune and other algorithms for motif search. Int. J. Bioinform. Res. Appl. 10(6): 559-573 (2014) - [j89]Abdullah-Al Mamun, Tian Mi, Robert H. Aseltine, Sanguthevar Rajasekaran:
Efficient sequential and parallel algorithms for record linkage. J. Am. Medical Informatics Assoc. 21(2): 252-262 (2014) - [j88]Vamsi Kundeti, Sanguthevar Rajasekaran, Hieu Dinh:
Border Length Minimization Problem on a Square Array. J. Comput. Biol. 21(6): 446-455 (2014) - [j87]Sanguthevar Rajasekaran, Marius Nicolae:
An elegant algorithm for the construction of suffix arrays. J. Discrete Algorithms 27: 21-28 (2014) - [c128]Subrata Saha, Sanguthevar Rajasekaran:
Efficient algorithms for the compression of FASTQ files. BIBM 2014: 82-85 - [c127]Abdullah-Al Mamun, Robert H. Aseltine, Sanguthevar Rajasekaran:
Poster: Efficient record linkage techniques. ICCABS 2014: 1 - [c126]Subrata Saha, Sanguthevar Rajasekaran:
Efficient algorithms for error correction and compression of NGS data. ICCABS 2014: 1 - [c125]Manal Al-Bzoor, Reda A. Ammar, Jun-Hong Cui, Sanguthevar Rajasekaran:
Coordinated multi-surface gateway redeployment for enhanced performance in underwater sensor networks. ISCC 2014: 1-6 - [c124]Manal Alharbi, Priya Periaswamy, Sanguthevar Rajasekaran:
Disjunctive rules mining from uncertain databases. ISCC 2014: 1-6 - [c123]Susana Sargento, Sanguthevar Rajasekaran, Mario A. R. Dantas:
Message from the technical program co-chairs. ISCC 2014: 1 - [c122]Ayman Alharbi, Reda A. Ammar, Hesham Alhumyani, Sanguthevar Rajasekaran, Jun Hong:
Efficient pipeline architectures for Underwater Big data analytic. ISSPIT 2014: 161-166 - [c121]