Jayanta Dey

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Citations	127	125
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Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Carey E. PriebeProfessor of Applied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
William R. Gray-Roncal, Ph.D.Johns Hopkins University Applied Physics LaboratoryVerified email at jhu.edu
Hayden HelmResearcher @ Helivan ResearchVerified email at helivan.io
Ronak MehtaPh.D. Student, University of WashingtonVerified email at uw.edu
Eric W BridgefordStanford UniversityVerified email at stanford.edu
Ting Xu (徐婷)Research Scientist, Child Mind Institute, NYVerified email at childmind.org
Weiwei YangMicrosoft Research, CaltechVerified email at microsoft.com
Jonathan LarsonMicrosoft ResearchVerified email at microsoft.com
Brian CaffoProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhu.edu
Sambit PandaPhD Candidate, Johns Hopkins UniversityVerified email at jhu.edu
Gido M. van de VenPostdoctoral Associate, KU LeuvenVerified email at kuleuven.be
Xi-Nian Zuo (左西年)Professor, Beijing Normal UniversityVerified email at bnu.edu.cn
Michael MilhamChild Mind Institute, Nathan Kline InstituteVerified email at childmind.org
Tyler TomitaJohns Hopkins UniversityVerified email at jhmi.edu
Kaleab A. KinfuPh.D. student, University of PennsylvaniaVerified email at upenn.edu
Florian EngertProfessor of Cellular and Molecular Biology, Harvard UniversityVerified email at mcb.harvard.edu
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Leyla IsikJohns Hopkins UniversityVerified email at jhu.edu

Jayanta Dey

Doctoral candidate, Biomedical Engineering, Johns Hopkins School of Medicine

Verified email at jhmi.edu

Machine learning Neuro-science Bio-medical signal processing Bio-medical imaging


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Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ... PLoS computational biology 17 (9), e1009279, 2021	49*	2021
When are Deep Networks really better than Random Forests at small sample sizes? CEP Haoyin Xu, Kaleab A. Kinfu, Will LeVine, Sambit Panda, Jayanta Dey ... arXiv preprint arXiv:2108.13637, 2021	22*	2021
Towards a theory of out-of-distribution learning A Geisa, R Mehta, HS Helm, J Dey, E Eaton, J Dick, CE Priebe, ... arXiv preprint arXiv:2109.14501, 2021	13	2021
An Ensemble SVM-based Approach for Voice Activity Detection J Dey, MSB Hossain, MA Haque 2018 10th International Conference on Electrical and Computer Engineering …, 2018	13	2018
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity J Dey, J Vogelstein, H Helm, W Levine, R Mehta, A Geisa, H Xu, ...	11*	2022
Prospective Learning: Principled Extrapolation to the Future A De Silva, R Ramesh, L Ungar, MH Shuler, NJ Cowan, M Platt, C Li, ... Conference on Lifelong Learning Agents, 347-357, 2023	7*	2023
Consortium for Reliability and Reproducibility, & Vogelstein, JT (2021). Eliminating accidental deviations to minimize generalization error and maximize replicability … EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ... PLOS Computational Biology 17, e1009279, 0	5
Ultrasonic tissue reflectivity function estimation using correlation constrained multichannel flms algorithm with missing rf data J Dey, MK Hasan Biomedical Physics & Engineering Express 4 (4), 045024, 2018	4	2018
Deep Discriminative to Kernel Density Graph for In-and Out-of-distribution Calibrated Inference J Dey, W LeVine, A De Silva, H Xu, TM Tomita, A Geisa, J Desman, ... arXiv preprint arXiv:2201.13001, 2022	2*	2022
Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture J Dey, M Hasan arXiv preprint arXiv:1912.00815, 2019	1	2019
Streaming Decision Trees and Forests. H Xu, J Dey, S Panda, JT Vogelstein arXiv preprint arXiv:2110.08483, 2021		2021
Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers J Dey, MA Haque arXiv preprint arXiv:1912.00519, 2019		2019
High quality ultrasound B-mode image generation using 2-D multichannel-based deconvolution and multiframe-based adaptive despeckling algorithms J Dey Department of Electrical and Electronic Engineering (EEE), BUET, 2019		2019

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