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Arunava Banerjee - Publications

Affiliations: 
University of Florida, Gainesville, Gainesville, FL, United States 
Area:
Computer Science, Applied Mathematics, Statistics
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19/43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Banerjee A. Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks. Neural Computation. 1-23. PMID 26942750 DOI: 10.1162/Neco_A_00829  0.304
2015 Smith R, Menon J, Rajeev JG, Feinberg L, Kumar RK, Banerjee A. Potential for the use of mHealth in the management of cardiovascular disease in Kerala: a qualitative study. Bmj Open. 5: e009367. PMID 26576813 DOI: 10.1136/bmjopen-2015-009367  0.51
2014 Ramaswamy V, Banerjee A. Connectomic constraints on computation in feedforward networks of spiking neurons. Journal of Computational Neuroscience. 37: 209-28. PMID 24691897 DOI: 10.1007/S10827-014-0497-5  0.508
2013 Rajwade A, Rangarajan A, Banerjee A. Image denoising using the higher order singular value decomposition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 849-62. PMID 22732660 DOI: 10.1109/Tpami.2012.140  0.726
2012 Kumar R, Banerjee A, Vemuri BC, Pfister H. Trainable Convolution Filters and Their Application to Face Recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1423-36. PMID 22144519 DOI: 10.1109/Tpami.2011.225  0.709
2012 Ramaswamy V, Banerjee A. On the trade-off between single-neuron complexity and network size with respect to spike-timed computations Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P185  0.51
2011 VanderKraats ND, Banerjee A. A finite-sample, distribution-free, probabilistic lower bound on mutual information. Neural Computation. 23: 1862-98. PMID 21492010 DOI: 10.1162/Neco_A_00144  0.705
2011 Kumar R, Barmpoutis A, Banerjee A, Vemuri BC. Non-lambertian reflectance modeling and shape recovery of faces using tensor splines. Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 553-67. PMID 21252399 DOI: 10.1109/Tpami.2010.67  0.634
2010 Gurumoorthy KS, Rajwade A, Banerjee A, Rangarajan A. A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 19: 322-34. PMID 19846375 DOI: 10.1109/Tip.2009.2034991  0.713
2009 Rajwade A, Banerjee A, Rangarajan A. Probability density estimation using isocontours and isosurfaces: applications to information-theoretic image registration. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 475-91. PMID 19147876 DOI: 10.1109/Tpami.2008.97  0.729
2009 Gurumoorthy KS, Banerjee A, Paul A. Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back Operations Research Letters. 37: 159-162. DOI: 10.1016/J.Orl.2009.02.004  0.698
2008 Banerjee A, Seriès P, Pouget A. Dynamical constraints on using precise spike timing to compute in recurrent cortical networks. Neural Computation. 20: 974-93. PMID 18085984 DOI: 10.1162/Neco.2008.05-06-206  0.307
2008 VanderKraats ND, Banerjee A. Evaluating feedforward spiking neuron networks using a novel decoding strategy Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P113  0.712
2007 Meng H, Banerjee A, Zhou L. BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences. Bioinformatics (Oxford, England). 23: 3249-50. PMID 17660203 DOI: 10.1093/Bioinformatics/Btm368  0.658
2006 Rajwade A, Banerjee A, Rangarajan A. A New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1769-1776. PMID 20717482 DOI: 10.1109/CVPR.2006.206  0.723
2006 Meng H, Banerjee A, Zhou L. BLISS: binding site level identification of shared signal-modules in DNA regulatory sequences. Bmc Bioinformatics. 7: 287. PMID 16756683 DOI: 10.1186/1471-2105-7-287  0.66
2003 Macskassy SA, Hirsh H, Banerjee A, Dayanik AA. Converting numerical classification into text classification Artificial Intelligence. 143: 51-77. DOI: 10.1016/S0004-3702(02)00359-4  0.721
2001 Banerjee A. On the phase-space dynamics of systems of spiking neurons. II: Formal analysis Neural Computation. 13: 195-225. PMID 11177433 DOI: 10.1162/089976601300014682  0.304
2001 Banerjee A. On the phase-space dynamics of systems of spiking neurons. I: Model and experiments Neural Computation. 13: 161-193. PMID 11177432 DOI: 10.1162/089976601300014673  0.303
Low-probability matches (unlikely to be authored by this person)
2006 Banerjee A. On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons. Journal of Computational Neuroscience. 20: 321-48. PMID 16683210 DOI: 10.1007/S10827-006-7188-9  0.298
2017 Martínez CA, Khare K, Banerjee A, Elzo MA. Joint genome-wide prediction in several populations accounting for randomness of genotypes: A hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the complete family of models. Journal of Theoretical Biology. PMID 28088357 DOI: 10.1016/J.Jtbi.2016.12.022  0.283
2016 Martínez CA, Khare K, Banerjee A, Elzo MA. Joint genome-wide prediction in several populations accounting for randomness of genotypes: A hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes. Journal of Theoretical Biology. PMID 28043819 DOI: 10.1016/J.Jtbi.2016.12.020  0.277
2001 Banerjee A. The roles played by external input and synaptic modulations in the dynamics of neuronal systems Behavioral and Brain Sciences. 24: 811-812. DOI: 10.1017/S0140525X0123009X  0.275
2007 Banerjee A, Carrillo JE, Paul A. Projects with sequential iteration: Models and complexity Iie Transactions (Institute of Industrial Engineers). 39: 453-463. DOI: 10.1080/07408170601180510  0.264
2008 Banerjee A, Paul A. On path correlation and PERT bias European Journal of Operational Research. 189: 1208-1216. DOI: 10.1016/J.Ejor.2007.01.061  0.26
2015 Pourreza A, Lee WS, Etxeberria E, Banerjee A. An evaluation of a vision-based sensor performance in Huanglongbing disease identification Biosystems Engineering. 130: 13-22. DOI: 10.1016/J.Biosystemseng.2014.11.013  0.259
2006 Banerjee A, Kodipaka S, Vemuri BC. A Conic Section Classifier and its Application to Image Datasets. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 103-108. PMID 19212457 DOI: 10.1109/CVPR.2006.20  0.252
1998 Ellman T, Keane J, Banerjee A, Armhold G. A transformation system for interactive reformulation of design optimization strategies Research in Engineering Design. 10: 30-61. DOI: 10.1007/Bf01580268  0.242
2005 Banerjee A, Paul A. Average fill rate and horizon length Operations Research Letters. 33: 525-530. DOI: 10.1016/J.Orl.2004.09.008  0.24
2020 Pal S, Sengupta S, Mitra R, Banerjee A. Conjugate Priors and Posterior Inference for the Matrix Langevin Distribution on the Stiefel Manifold Bayesian Analysis. 15: 871-908. DOI: 10.1214/19-Ba1176  0.228
2013 Alptekinoğlu A, Banerjee A, Paul A, Jain N. Inventory Pooling to Deliver Differentiated Service Manufacturing & Service Operations Management. 15: 33-44. DOI: 10.2139/Ssrn.2025402  0.219
2008 Kodipaka S, Banerjee A, Vemuri BC. Large Margin Pursuit for a Conic Section Classifier. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2008: 1-6. PMID 19255652 DOI: 10.1109/CVPR.2008.4587406  0.205
2020 Banerjee A, Mukherjee J, Un Nabi M, Kar IN. An artificial delay based robust guidance strategy for an interceptor with input saturation. Isa Transactions. PMID 33012535 DOI: 10.1016/j.isatra.2020.09.013  0.152
2021 Marques AD, Kummer M, Kondratov O, Banerjee A, Moskalenko O, Zolotukhin S. Applying machine learning to predict viral assembly for adeno-associated virus capsid libraries. Molecular Therapy. Methods & Clinical Development. 20: 276-286. PMID 33511242 DOI: 10.1016/j.omtm.2020.11.017  0.145
2020 Banerjee A, Nabi M, Raghunathan T. Time-energy optimal guidance strategy for realistic interceptor using pseudospectral method Transactions of the Institute of Measurement and Control. 42: 2361-2371. DOI: 10.1177/0142331220910919  0.144
2015 Sengupta S, Wang J, Lee J, Müller P, Gulukota K, Banerjee A, Ji Y. Bayclone: Bayesian nonparametric inference of tumor subclones using NGS data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 467-78. PMID 25592605  0.136
2020 Banerjee A, Mukherjee J, Nabi Mu. Time-energy efficient guidance strategy for a realistic 3D interceptor: An adaptive robust time-delayed control approach with input saturation Aerospace Science and Technology. 104: 106015. DOI: 10.1016/J.Ast.2020.106015  0.134
2010 Kumar R, Vemuri BC, Banerjee A. Eigenbubbles: An enhanced apparent BRDF representation Proceedings - International Conference On Pattern Recognition. 1686-1689. DOI: 10.1109/ICPR.2010.417  0.132
2011 Kumar R, Banerjee A, Vemuri BC, Pfister H. Maximizing all margins: Pushing face recognition with Kernel Plurality Proceedings of the Ieee International Conference On Computer Vision. 2375-2382. DOI: 10.1109/ICCV.2011.6126520  0.131
2024 Contreras M, Jain A, Bhatt NP, Banerjee A, Hashemi E. A survey on 3D object detection in real time for autonomous driving. Frontiers in Robotics and Ai. 11: 1212070. PMID 38510560 DOI: 10.3389/frobt.2024.1212070  0.12
2008 Barmpoutis A, Kumar R, Vemuri BC, Banerjee A. Beyond the Lambertian assumption: A generative model for apparent BRDF fields of faces using anti-symmetric tensor splines 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587770  0.103
2009 Kumar R, Banerjee A, Vemuri BC. Volterrafaces: Discriminant analysis using Volterra kernels 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 150-155. DOI: 10.1109/CVPRW.2009.5206837  0.089
1997 Wieman H, Anderssen E, Banerjee A, Betts W, Bossingham R, Ghazikhanian V, Gong W, Greiner D, Harper G, Huang H, Hjort E, Kotchenda L, Lebedev A, Sakrejda I, Shuman D, et al. STAR TPC at RHIC Ieee Transactions On Nuclear Science. 44: 671-678. DOI: 10.1109/23.603731  0.01
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