| The negative binomial-Lindley generalized linear model: Characteristics and application using crash data SR Geedipally, D Lord, SS Dhavala Accident Analysis & Prevention 45, 258-265, 2012 | 189 | 2012 |
| The Salmonella enterica Serotype Typhi Vi Capsular Antigen Is Expressed after the Bacterium Enters the Ileal Mucosa QT Tran, G Gomez, S Khare, SD Lawhon, M Raffatellu, AJ Bäumler, ... Infection and immunity 78 (1), 527-535, 2010 | 81 | 2010 |
| Characterizing the performance of the conway‐maxwell poisson generalized linear model RA Francis, SR Geedipally, SD Guikema, SS Dhavala, D Lord, S LaRocca Risk Analysis: An International Journal 32 (1), 167-183, 2012 | 73 | 2012 |
| A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data M Shirazi, D Lord, SS Dhavala, SR Geedipally Accident Analysis & Prevention 91, 10-18, 2016 | 68 | 2016 |
| A caution about using deviance information criterion while modeling traffic crashes SR Geedipally, D Lord, SS Dhavala Safety science 62, 495-498, 2014 | 49 | 2014 |
| Method and system for image compression and decompression using span of interest of an imaging sequence S Mukhopadhyay, S Dhavala, L Eswara US Patent App. 10/064,620, 2004 | 41 | 2004 |
| A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred … M Shirazi, SS Dhavala, D Lord, SR Geedipally Accident Analysis & Prevention 107, 186-194, 2017 | 30 | 2017 |
| Acceleration of SimSET photon history generation RL Harrison, S Dhavala, PN Kumar, Y Shao, R Manjersshwar, ... 2002 IEEE Nuclear Science Symposium Conference Record 3, 1835-1838, 2002 | 30 | 2002 |
| AdaSwarm: Augmenting gradient-based optimizers in deep learning with swarm intelligence R Mohapatra, S Saha, CAC Coello, A Bhattacharya, SS Dhavala, S Saha IEEE Transactions on Emerging Topics in Computational Intelligence 6 (2 …, 2021 | 29 | 2021 |
| Bayesian Modeling of MPSS Data: Gene Expression Analysis of Bovine Salmonella Infection SS Dhavala, S Datta, BK Mallick, RJ Carroll, S Khare, SD Lawhon, ... Journal of the American Statistical Association 105 (491), 956-967, 2010 | 18 | 2010 |
| Bayesian object classification of gold nanoparticles BA Konomi, SS Dhavala, JZ Huang, S Kundu, D Huitink, H Liang, Y Ding, ... | 16 | 2013 |
| A framework for democratizing ai S Ahmed, RS Mula, SS Dhavala arXiv preprint arXiv:2001.00818, 2020 | 12 | 2020 |
| LALR: Theoretical and experimental validation of lipschitz adaptive learning rate in regression and neural networks S Saha, T Prashanth, S Aralihalli, S Basarkod, TSB Sudarshan, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 10 | 2020 |
| Auto Generation of Diagnostic Assessments and Their Quality Evaluation. S Dhavala, C Bhatia, J Bose, K Faldu, A Avasthi International Educational Data Mining Society, 2020 | 10 | 2020 |
| Emulation of numerical models with over-specified basis functions A Chakraborty, D Bingham, SS Dhavala, CC Kuranz, RP Drake, ... Technometrics 59 (2), 153-164, 2017 | 10 | 2017 |
| Estimation and applications of quantiles in deep binary classification A Tambwekar, A Maiya, S Dhavala, S Saha IEEE Transactions on Artificial Intelligence 3 (2), 275-286, 2021 | 8 | 2021 |
| Adaswarm: A novel pso optimization method for the mathematical equivalence of error gradients R Mohapatra, S Saha, SS Dhavala arXiv preprint arXiv:2006.09875, 2020 | 8 | 2020 |
| LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on microarray expression data sets T Prashanth, S Saha, S Basarkod, S Aralihalli, SS Dhavala, S Saha, ... IEEE/ACM transactions on computational biology and bioinformatics 19 (6 …, 2021 | 6 | 2021 |
| A new approach for momentum particle swarm optimization R Mohapatra, RR Talesara, S Govil, S Saha, SS Dhavala, TSB Sudarshan Advances in Machine Learning and Computational Intelligence: Proceedings of …, 2020 | 6 | 2020 |
| A framework for predicting, interpreting, and improving learning outcomes C Donda, S Dasgupta, SS Dhavala, K Faldu, A Avasthi arXiv preprint arXiv:2010.02629, 2020 | 5 | 2020 |
Dominique LordTexas A&M University在 tamu.edu 的电子邮件经过验证
