| Year |
Citation |
Score |
| 2020 |
Cedeno-Mieles V, Hu Z, Ren Y, Deng X, Adiga A, Barrett C, Contractor N, Ekanayake S, Epstein JM, Goode BJ, Korkmaz G, Kuhlman CJ, Machi D, Macy MW, Marathe MV, ... Ramakrishnan N, et al. Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework Social Network Analysis and Mining. 10. DOI: 10.1007/S13278-019-0620-8 |
0.321 |
|
| 2020 |
Zhao L, Chen J, Chen F, Jin F, Wang W, Lu C, Ramakrishnan N. Online flu epidemiological deep modeling on disease contact network Geoinformatica. 24: 443-475. DOI: 10.1007/S10707-019-00376-9 |
0.307 |
|
| 2019 |
Keneshloo Y, Shi T, Ramakrishnan N, Reddy CK. Deep Reinforcement Learning for Sequence-to-Sequence Models. Ieee Transactions On Neural Networks and Learning Systems. PMID 31425057 DOI: 10.1109/Tnnls.2019.2929141 |
0.317 |
|
| 2018 |
Wu H, Ning Y, Chakraborty P, Vreeken J, Tatti N, Ramakrishnan N. Generating Realistic Synthetic Population Datasets Acm Transactions On Knowledge Discovery From Data. 12: 1-22. DOI: 10.1145/3182383 |
0.336 |
|
| 2018 |
Muralidhar N, Wang C, Self N, Momtazpour M, Nakayama K, Sharma R, Ramakrishnan N. illiad Acm Transactions On Intelligent Systems and Technology. 9: 1-20. DOI: 10.1145/3066167 |
0.316 |
|
| 2018 |
Wu H, Sun M, Mi P, Tatti N, North C, Ramakrishnan N. Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models Acm Transactions On Knowledge Discovery From Data. 12: 1-34. DOI: 10.1145/3047017 |
0.356 |
|
| 2017 |
Wenskovitch J, Crandell I, Ramakrishnan N, House L, Leman S, North C. Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. Ieee Transactions On Visualization and Computer Graphics. PMID 28866581 DOI: 10.1109/Tvcg.2017.2745258 |
0.303 |
|
| 2017 |
Tabataba FS, Chakraborty P, Ramakrishnan N, Venkatramanan S, Chen J, Lewis B, Marathe M. A framework for evaluating epidemic forecasts. Bmc Infectious Diseases. 17: 345. PMID 28506278 DOI: 10.1186/S12879-017-2365-1 |
0.3 |
|
| 2017 |
Zhao L, Sun Q, Ye J, Chen F, Lu C, Ramakrishnan N. Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting Ieee Transactions On Knowledge and Data Engineering. 29: 1059-1072. DOI: 10.1109/Tkde.2017.2657624 |
0.345 |
|
| 2017 |
Goode BJ, Reyes JIM, Pardo-Yepez DR, Canale GL, Tong RM, Mares D, Roan M, Ramakrishnan N. Time-Series Analysis of Blog and Metaphor Dynamics for Event Detection Advances in Intelligent Systems and Computing. 480: 17-27. DOI: 10.1007/978-3-319-41636-6_2 |
0.322 |
|
| 2017 |
Rekatsinas T, Ghosh S, Mekaru SR, Nsoesie EO, Brownstein JS, Getoor L, Ramakrishnan N. Forecasting rare disease outbreaks from open source indicators Statistical Analysis and Data Mining: the Asa Data Science Journal. 10: 136-150. DOI: 10.1002/Sam.11337 |
0.329 |
|
| 2016 |
Korkmaz G, Cadena J, Kuhlman CJ, Marathe A, Vullikanti A, Ramakrishnan N. Multi-Source Models for Civil Unrest Forecasting. Social Network Analysis and Mining. 6. PMID 30344793 DOI: 10.1007/S13278-016-0355-8 |
0.31 |
|
| 2016 |
Wang W, Kennedy R, Lazer D, Ramakrishnan N. Growing pains for global monitoring of societal events. Science (New York, N.Y.). 353: 1502-1503. PMID 27708093 DOI: 10.1126/Science.Aaf6758 |
0.31 |
|
| 2016 |
Sun M, Mi P, North C, Ramakrishnan N. BiSet: Semantic Edge Bundling with Biclusters for Sensemaking. Ieee Transactions On Visualization and Computer Graphics. 22: 310-9. PMID 26529710 DOI: 10.1109/Tvcg.2015.2467813 |
0.322 |
|
| 2016 |
Zhao L, Chen F, Lu C, Ramakrishnan N. Online Spatial Event Forecasting in Microblogs Acm Transactions On Spatial Algorithms and Systems. 2: 1-39. DOI: 10.1145/2997642 |
0.351 |
|
| 2016 |
Hua T, Zhao L, Chen F, Lu C, Ramakrishnan N. How events unfold Sigspatial Special. 7: 19-25. DOI: 10.1145/2876480.2876485 |
0.303 |
|
| 2016 |
Ramakrishnan N, Kumar R. Big Data Computer. 49: 20-22. DOI: 10.1109/Mc.2016.109 |
0.35 |
|
| 2016 |
Zhang H, Yao D, Ramakrishnan N, Zhang Z. Causality reasoning about network events for detecting stealthy malware activities Computers and Security. 58: 180-198. DOI: 10.1016/J.Cose.2016.01.002 |
0.335 |
|
| 2016 |
Hua T, Chen F, Zhao L, Lu CT, Ramakrishnan N. Automatic targeted-domain spatiotemporal event detection in twitter Geoinformatica. 20: 765-795. DOI: 10.1007/S10707-016-0263-0 |
0.325 |
|
| 2016 |
Dos Santos RF, Boedihardjo A, Shah S, Chen F, Lu C, Ramakrishnan N. The big data of violent events: algorithms for association analysis using spatio-temporal storytelling Geoinformatica. 20: 879-921. DOI: 10.1007/S10707-016-0247-0 |
0.36 |
|
| 2015 |
Gad S, Javed W, Ghani S, Elmqvist N, Ewing T, Hampton KN, Ramakrishnan N. ThemeDelta: Dynamic Segmentations over Temporal Topic Models. Ieee Transactions On Visualization and Computer Graphics. 21: 672-85. PMID 26357213 DOI: 10.1109/Tvcg.2014.2388208 |
0.354 |
|
| 2015 |
Nsoesie EO, Butler P, Ramakrishnan N, Mekaru SR, Brownstein JS. Monitoring disease trends using hospital traffic data from high resolution satellite imagery: a feasibility study. Scientific Reports. 5: 9112. PMID 25765943 DOI: 10.1038/Srep09112 |
0.309 |
|
| 2015 |
Hoegh A, Leman S, Saraf P, Ramakrishnan N. Bayesian Model Fusion for Forecasting Civil Unrest Technometrics. 57: 332-340. DOI: 10.1080/00401706.2014.1001522 |
0.34 |
|
| 2015 |
Dos Santos RF, Shah S, Boedihardjo A, Chen F, Lu CT, Butler P, Ramakrishnan N. A framework for intelligence analysis using spatio-temporal storytelling Geoinformatica. DOI: 10.1007/S10707-015-0236-8 |
0.349 |
|
| 2015 |
Chen L, Tozammel Hossain KSM, Butler P, Ramakrishnan N, Prakash BA. Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models Data Mining and Knowledge Discovery. 30: 681-710. DOI: 10.1007/S10618-015-0434-X |
0.302 |
|
| 2014 |
Sun M, North C, Ramakrishnan N. A Five-Level Design Framework for Bicluster Visualizations. Ieee Transactions On Visualization and Computer Graphics. 20: 1713-22. PMID 26356885 DOI: 10.1109/Tvcg.2014.2346665 |
0.304 |
|
| 2014 |
Zhao L, Chen F, Dai J, Hua T, Lu CT, Ramakrishnan N. Unsupervised spatial event detection in targeted domains with applications to civil unrest modeling. Plos One. 9: e110206. PMID 25350136 DOI: 10.1371/Journal.Pone.0110206 |
0.324 |
|
| 2014 |
Wu H, Vreeken J, Tatti N, Ramakrishnan N. Uncovering the plot: Detecting surprising coalitions of entities in multi-relational schemas Data Mining and Knowledge Discovery. 28: 1398-1428. DOI: 10.1007/S10618-014-0370-1 |
0.399 |
|
| 2013 |
Hossain KS, Patnaik D, Laxman S, Jain P, Bailey-Kellogg C, Ramakrishnan N. Improved multiple sequence alignments using coupled pattern mining. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 10: 1098-112. PMID 24384701 DOI: 10.1109/Tcbb.2013.36 |
0.607 |
|
| 2013 |
Hanauer DA, Ramakrishnan N. Modeling temporal relationships in large scale clinical associations. Journal of the American Medical Informatics Association : Jamia. 20: 332-41. PMID 23019240 DOI: 10.1136/Amiajnl-2012-001117 |
0.32 |
|
| 2013 |
Fiaux P, Sun M, Bradel L, North C, Ramakrishnan N, Endert A. Bixplorer: Visual Analytics with Biclusters Computer. 46: 90-94. DOI: 10.1109/Mc.2013.269 |
0.32 |
|
| 2013 |
Verstak A, Ramakrishnan N, Watson LT, He J, Shaffer CA, Grama AY. Using hierarchical data mining to characterize performance of wireless system configurations Advances in Engineering Software. 65: 66-77. DOI: 10.1016/J.Advengsoft.2013.05.012 |
0.34 |
|
| 2013 |
Patnaik D, Laxman S, Chandramouli B, Ramakrishnan N. A general streaming algorithm for pattern discovery Knowledge and Information Systems. 37: 585-610. DOI: 10.1007/S10115-013-0669-Z |
0.648 |
|
| 2012 |
Hao MC, Marwah M, Janetzko H, Dayal U, Keim DA, Patnaik D, Ramakrishnan N, Sharma RK. Visual exploration of frequent patterns in multivariate time series Information Visualization. 11: 71-83. DOI: 10.1177/1473871611430769 |
0.618 |
|
| 2012 |
Phillips RD, Watson LT, Wynne RH, Ramakrishnan N. Continuous iterative guided spectral class rejection classification algorithm Ieee Transactions On Geoscience and Remote Sensing. 50: 2303-2317. DOI: 10.1109/Tgrs.2011.2173802 |
0.33 |
|
| 2012 |
Ramakrishnan N, Marwah M, Shah A, Patnaik D, Hossain M, Sundaravaradan N, Patel C. Data mining solutions for sustainability problems Ieee Potentials. 31: 28-34. DOI: 10.1109/Mpot.2011.2181883 |
0.593 |
|
| 2012 |
Patnaik D, Laxman S, Chandramouli B, Ramakrishnan N. Efficient episode mining of dynamic event streams Proceedings - Ieee International Conference On Data Mining, Icdm. 605-614. DOI: 10.1109/ICDM.2012.84 |
0.565 |
|
| 2012 |
Cao Y, Patnaik D, Ponce S, Archuleta J, Butler P, Feng WC, Ramakrishnan N. Parallel mining of neuronal spike streams on graphics processing units International Journal of Parallel Programming. 40: 605-632. DOI: 10.1007/S10766-011-0181-6 |
0.646 |
|
| 2011 |
Patnaik D, Butler P, Ramakrishnan N, Parida L, Keller BJ, Hanauer DA. Experiences with mining temporal event sequences from electronic medical records: Initial successes and some challenges Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 360-368. DOI: 10.1145/2020408.2020468 |
0.593 |
|
| 2011 |
Patnaik D, Marwah M, Sharma RK, Ramakrishnan N. Temporal data mining approaches for sustainable chiller management in data centers Acm Transactions On Intelligent Systems and Technology. 2. DOI: 10.1145/1989734.1989738 |
0.646 |
|
| 2011 |
Hao M, Marwah M, Janetzko H, Sharma R, Keim DA, Dayal U, Patnaik D, Ramakrishnan N. Visualizing frequent patterns in large multivariate time series Proceedings of Spie - the International Society For Optical Engineering. 7868. DOI: 10.1117/12.872169 |
0.613 |
|
| 2011 |
Marwah M, Shah A, Bash C, Patel C, Ramakrishnan N. Using data mining to help design sustainable products Computer. 44: 103-106. DOI: 10.1109/Mc.2011.257 |
0.301 |
|
| 2011 |
Shu J, Watson LT, Ramakrishnan N, Kamke FA, Deshpande S. Computational steering in the problem solving environment WBCSim Engineering Computations (Swansea, Wales). 28: 888-911. DOI: 10.1108/02644401111165121 |
0.309 |
|
| 2011 |
Feng Wc, Cao Y, Patnaik D, Ramakrishnan N. Temporal data mining for neuroscience Gpu Computing Gems Emerald Edition. 211-227. DOI: 10.1016/B978-0-12-384988-5.00015-2 |
0.601 |
|
| 2011 |
Patnaik D, Laxman S, Ramakrishnan N. Discovering excitatory relationships using dynamic Bayesian networks Knowledge and Information Systems. 29: 273-303. DOI: 10.1007/S10115-010-0344-6 |
0.623 |
|
| 2011 |
Deshpande S, Watson LT, Shu J, Kamke FA, Ramakrishnan N. Data driven surrogate-based optimization in the problem solving environment WBCSim Engineering With Computers. 27: 211-223. DOI: 10.1007/S00366-010-0192-8 |
0.343 |
|
| 2010 |
Ramakrishnan N, Tadepalli S, Watson LT, Helm RF, Antoniotti M, Mishra B. Reverse engineering dynamic temporal models of biological processes and their relationships. Proceedings of the National Academy of Sciences of the United States of America. 107: 12511-6. PMID 20571120 DOI: 10.1073/Pnas.1006283107 |
0.611 |
|
| 2010 |
Zaki MJ, Ramakrishnan N, Zhao L. Mining Frequent Boolean Expressions International Journal of Knowledge Discovery in Bioinformatics. 1: 68-96. DOI: 10.4018/Jkdb.2010070105 |
0.3 |
|
| 2010 |
Patnaik D, Laxman S, Ramakrishnan N. Learning probabilistic models of connectivity from multiple spike train data Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P171 |
0.629 |
|
| 2010 |
Hossain MS, Tadepalli S, Watson LT, Davidson I, Helm RF, Ramakrishnan N. Unifying dependent clustering and disparate clustering for non-homogeneous data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 593-602. DOI: 10.1145/1835804.1835880 |
0.541 |
|
| 2010 |
Cao Y, Patnaik D, Ponce S, Archuleta J, Butler P, Feng WC, Ramakrishnan N. Towards chip-on-chip neuroscience: Fast mining of neuronal spike streams using graphics hardware Cf 2010 - Proceedings of the 2010 Computing Frontiers Conference. 1-10. DOI: 10.1145/1787275.1787277 |
0.603 |
|
| 2010 |
Hao MC, Marwah M, Janetzko H, Keim DA, Dayal U, Sharma R, Patnaik D, Ramakrishnan N. Visual analysis of frequent patterns in large time series Vast 10 - Ieee Conference On Visual Analytics Science and Technology 2010, Proceedings. 227-228. DOI: 10.1109/VAST.2010.5650766 |
0.622 |
|
| 2010 |
Perugini S, Ramakrishnan N. Program transformations for information personalization Computer Languages, Systems and Structures. 36: 223-249. DOI: 10.1016/J.Cl.2009.09.002 |
0.584 |
|
| 2010 |
Patnaik D, Marwah M, Sharma RK, Ramakrishnan N. Data mining for modeling chiller systems in data centers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6065: 125-136. DOI: 10.1007/978-3-642-13062-5_13 |
0.591 |
|
| 2009 |
Thomas J, Ramakrishnan N, Bailey-Kellogg C. Protein design by sampling an undirected graphical model of residue constraints. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 6: 506-16. PMID 19644177 DOI: 10.1109/Tcbb.2008.124 |
0.303 |
|
| 2009 |
Tadepalli S, Ramakrishnan N, Watson LT, Mishra B, Helm RF. Simultaneously segmenting multiple gene expression time courses by analyzing cluster dynamics. Journal of Bioinformatics and Computational Biology. 7: 339-56. PMID 19340919 DOI: 10.1142/S0219720009004114 |
0.586 |
|
| 2009 |
Patnaik D, Marwah M, Sharma R, Ramakrishnan N. Sustainable operation and management of data center chillers using temporal data mining Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1305-1313. DOI: 10.1145/1557019.1557159 |
0.582 |
|
| 2009 |
Patnaik D, Ponce SP, Cao Y, Ramakrishnan N. Accelerator-oriented algorithm transformation for temporal data mining Npc 2009 - 6th International Conference On Network and Parallel Computing. 93-100. DOI: 10.1109/NPC.2009.26 |
0.589 |
|
| 2009 |
Ramakrishnan N, Patnaik D, Sreedharan V. Temporal Process Discovery in Many Guises Computer. 42: 97-101. DOI: 10.1109/Mc.2009.267 |
0.62 |
|
| 2009 |
Patnaik D, Laxman S, Ramakrishnan N. Discovering excitatory networks from discrete event streams with applications to neuronal spike train analysis Proceedings - Ieee International Conference On Data Mining, Icdm. 407-416. DOI: 10.1109/ICDM.2009.73 |
0.559 |
|
| 2008 |
Pati A, Jin Y, Klage K, Helm RF, Heath LS, Ramakrishnan N. CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining. Nucleic Acids Research. 36: D69-76. PMID 17942411 DOI: 10.1093/Nar/Gkm804 |
0.335 |
|
| 2008 |
Ramakrishnan N, Perez-Quinones MA, Shenoy A. Compositional specification and realisation of mixed-initiative web dialogs International Journal of Web Engineering and Technology. 4: 336-366. DOI: 10.1504/Ijwet.2008.019538 |
0.319 |
|
| 2008 |
Fox EA, Andrews C, Fan W, Jiao J, Kassahun A, Lu SC, Ma Y, North C, Ramakrishnan N, Scarpa A, Friedman BH, Sheetz SD, Shoemaker D, Srinivasan V, Yang S, et al. A digital library for recovery, research, and learning from April 16, 2007, at Virginia Tech Traumatology. 14: 64-84. DOI: 10.1177/1534765608315632 |
0.32 |
|
| 2008 |
Zaki MJ, Ramakrishnan N, Parthasarathy S. Biological data mining Scientific Programming. 16: 3. DOI: 10.1155/2008/897294 |
0.352 |
|
| 2008 |
Jin Y, Murali TM, Ramakrishnan N. Compositional mining of multirelational biological datasets Acm Transactions On Knowledge Discovery From Data. 2. DOI: 10.1145/1342320.1342322 |
0.384 |
|
| 2008 |
Tadepalli S, Ramakrishnan N, Mishra B, Watson LT, Helm RF. Deriving kripke structures from time series segmentation results Proceedings - 9th International Workshop On Discrete Event Systems, Wodes' 08. 406-411. DOI: 10.1109/WODES.2008.4605980 |
0.557 |
|
| 2008 |
Kumar D, Ramakrishnan N, Helm R, Potts M. Algorithms for Storytelling Ieee Transactions On Knowledge and Data Engineering. 20: 736-751. DOI: 10.1109/Tkde.2008.32 |
0.575 |
|
| 2008 |
Shu J, Watson LT, Ramakrishnan N, Kamke FA, North CL. Unification of problem solving environment implementation layers with XML-based specifications Advances in Engineering Software. 39: 189-201. DOI: 10.1016/J.Advengsoft.2007.02.005 |
0.3 |
|
| 2007 |
Mishra D, Shaffer CA, Ramakrishnan N, Watson LT, Bae KK, He J, Verstak AA, Tranter WH. S 4 W: a problem-solving environment for wireless system design Software - Practice and Experience. 37: 1539-1558. DOI: 10.1002/Spe.V37:14 |
0.331 |
|
| 2007 |
Perugini S, Ramakrishnan N. Mining web functional dependencies for flexible information access Journal of the American Society For Information Science and Technology. 58: 1805-1819. DOI: 10.1002/Asi.V58:12 |
0.607 |
|
| 2006 |
Unnikrishnan KP, Ramakrishnan N, Sastry PS, Uthurusamy R. Network reconstruction from dynamic data Acm Sigkdd Explorations Newsletter. 8: 90-91. DOI: 10.1145/1233321.1233335 |
0.375 |
|
| 2006 |
Bailey-Kellogg C, Ramakrishnan N, Marathe MV. Spatial data mining to support pandemic preparedness Acm Sigkdd Explorations Newsletter. 8: 80-82. DOI: 10.1145/1147234.1147246 |
0.342 |
|
| 2006 |
Koyutürk M, Grama A, Ramakrishnan N. Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis Acm Transactions On Mathematical Software (Toms). 32: 33-69. DOI: 10.1145/1132973.1132976 |
0.349 |
|
| 2006 |
Perugini S, Ramakrishnan N. Interacting with web hierarchies It Professional. 8: 19-28. DOI: 10.1109/Mitp.2006.91 |
0.585 |
|
| 2005 |
Singh J, Kumar D, Ramakrishnan N, Singhal V, Jervis J, Garst JF, Slaughter SM, DeSantis AM, Potts M, Helm RF. Transcriptional response of Saccharomyces cerevisiae to desiccation and rehydration. Applied and Environmental Microbiology. 71: 8752-63. PMID 16332871 DOI: 10.1128/Aem.71.12.8752-8763.2005 |
0.523 |
|
| 2005 |
Perugini S, Ramakrishnan N. Personalization by program slicing Journal of Object Technology. 4: 5-11. DOI: 10.5381/Jot.2005.4.3.A1 |
0.591 |
|
| 2005 |
Koyuturk M, Grama A, Ramakrishnan N. Compression, clustering, and pattern discovery in very high-dimensional discrete-attribute data sets Ieee Transactions On Knowledge and Data Engineering. 17: 447-461. DOI: 10.1109/Tkde.2005.55 |
0.388 |
|
| 2005 |
Varadarajan S, Ramakrishnan N. Novel runtime systems support for adaptive compositional modeling in PSEs Future Generation Computer Systems. 21: 878-895. DOI: 10.1016/J.Future.2003.12.020 |
0.305 |
|
| 2005 |
Perugini S, Ramakrishnan N. A generative programming approach to interactive information retrieval: Insights and experiences Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3676: 205-220. DOI: 10.1007/11561347_15 |
0.565 |
|
| 2003 |
Watkinson JI, Sioson AA, Vasquez-Robinet C, Shukla M, Kumar D, Ellis M, Heath LS, Ramakrishnan N, Chevone B, Watson LT, van Zyl L, Egertsdotter U, Sederoff RR, Grene R. Photosynthetic acclimation is reflected in specific patterns of gene expression in drought-stressed loblolly pine. Plant Physiology. 133: 1702-16. PMID 14681533 DOI: 10.1104/Pp.103.026914 |
0.518 |
|
| 2003 |
Allen NA, Calzone L, Chen KC, Ciliberto A, Ramakrishnan N, Shaffer CA, Sible JC, Tyson JJ, Vass MT, Watson LT, Zwolak JW. Modeling regulatory networks at Virginia Tech. Omics : a Journal of Integrative Biology. 7: 285-99. PMID 14583117 DOI: 10.1089/153623103322452404 |
0.316 |
|
| 2003 |
Verstak A, Ramakrishnan N, Watson LT, He J, Shaffer CA, Bae KK, Jiang J, Tranter WH, Rappaport TS. BSML: A binding schema markup language for data interchange in problem solving environments Scientific Programming. 11: 199-224. DOI: 10.1155/2003/314624 |
0.313 |
|
| 2003 |
Perugini S, Ramakrishnan N. Personalizing web sites with mixed-initiative interaction It Professional. 5: 9-15. DOI: 10.1109/Mitp.2003.1191787 |
0.577 |
|
| 2003 |
Varadarajan S, Ramakrishnan N, Thirunavukkarasu M. Reinforcing reachable routes Computer Networks. 43: 389-416. DOI: 10.1016/S1389-1286(03)00288-3 |
0.305 |
|
| 2003 |
Perugini S, Ramakrishnan N. Personalizing Interactions with Information Systems Advances in Computers. 57: 323-382. DOI: 10.1016/S0065-2458(03)57007-3 |
0.585 |
|
| 2003 |
Dymond R, Lohani V, Kibler D, Bosch D, Rubin EJ, Dietz R, Chanat J, Speir C, Shaffer CA, Ramakrishnan N, Watson LT. From landscapes to waterscapes: A PSE for landuse change analysis Engineering With Computers. 19: 9-25. DOI: 10.1007/S00366-002-0245-8 |
0.306 |
|
| 2002 |
Heath LS, Ramakrishnan N, Sederoff RR, Whetten RW, Chevone BI, Struble CA, Jouenne VY, Chen D, van Zyl L, Grene R. Studying the functional genomics of stress responses in loblolly pine with the Expresso microarray experiment management system. Comparative and Functional Genomics. 3: 226-43. PMID 18628855 DOI: 10.1002/Cfg.169 |
0.325 |
|
| 2002 |
Heath LS, Ramakrishnan N. The emerging landscape of bioinformatics software systems Computer. 35: 41-45. DOI: 10.1109/Mc.2002.1016900 |
0.349 |
|
| 2002 |
Watson LT, Lohani VK, Kibler DF, Dymond RL, Ramakrishnan N, Shaffer CA. Integrated computing environments for watershed management Journal of Computing in Civil Engineering. 16: 259-268. DOI: 10.1061/(Asce)0887-3801(2002)16:4(259) |
0.304 |
|
| 2002 |
He J, Watson LT, Ramakrishnan N, Shaffer CA, Verstak A, Jiang J, Bae K, Tranter WH. Dynamic data structures for a direct search algorithm Computational Optimization and Applications. 23: 5-25. DOI: 10.1023/A:1019992822938 |
0.357 |
|
| 2002 |
Ramakrishnan N, Rice JR, Houstis EN. GAUSS: An online algorithm selection system for numerical quadrature Advances in Engineering Software. 33: 27-36. DOI: 10.1016/S0965-9978(01)00046-1 |
0.324 |
|
| 2002 |
Ramakrishnan N, Grama AY. Mining scientific data Advances in Computers. 55: 119-169. DOI: 10.1016/S0065-2458(01)80028-0 |
0.37 |
|
| 2002 |
Houstis EN, Catlin AC, Dhanjani N, Rice JR, Ramakrishnan N, Verykios V. MyPYTHIA: a recommendation portal for scientific software and services Concurrency and Computation: Practice and Experience. 14: 1481-1505. DOI: 10.1002/Cpe.684 |
0.319 |
|
| 2000 |
Ramakrishnan N, Valdés-Pérez RE. Note on generalization in experimental algorithmics Acm Transactions On Mathematical Software. 26: 568-580. DOI: 10.1145/365723.365734 |
0.302 |
|
| 2000 |
Ramakrishnan N, Ribbens CJ. Mining and Visualizing Recommendation Spaces for Elliptic PDEs with Continuous Attributes Acm Transactions On Mathematical Software. 26: 254-273. DOI: 10.1145/353474.353481 |
0.319 |
|
| 2000 |
Houstis EN, Catlin AC, Rice JR, Verykios VS, Ramakrishnan N, Houstis CE. PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software Acm Transactions On Mathematical Software. 26: 227-253. DOI: 10.1145/353474.353475 |
0.346 |
|
| 1999 |
Ramakrishnan N, Grama AY. Data mining: From serendipity to science Computer. 32: 34-37. DOI: 10.1109/2.781632 |
0.38 |
|
| 1998 |
Houstis EN, Rice JR, Ramakrishnan N, Drashansky T, Weerawarana S, Joshi A, Houstis CE. Multidisciplinary Problem-Solving Environments for Computational Science Advances in Computers. 46: 401-438. DOI: 10.1016/S0065-2458(08)60209-0 |
0.334 |
|
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