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Journal Articles
- 2024
[j12]Julia R. Falconer
, Eibe Frank, Devon L. L. Polaschek, Chaitanya Joshi:
Eliciting Informative Priors by Modeling Expert Decision Making. Decis. Anal. 21(2): 77-90 (2024)- [j11]Ravi S. Siddanath, Mohit Gupta, Chaitanya Joshi, Manish Goswami, Kavindra Kandpal:
A 10T SRAM architecture with 40 % enhanced throughput for IMC applications benchmarked with CIFAR-10 dataset. Integr. 98: 102225 (2024) - [j10]Marie-Cécile Dupas, Francesco Pinotti, Chaitanya Joshi, Madhvi Joshi, Weerapong Thanapongtharm, Madhur S. Dhingra, Damer Blake, Fiona Tomley, Marius Gilbert, Guillaume Fournié:
Spatial distribution of poultry farms using point pattern modelling: A method to address livestock environmental impacts and disease transmission risks. PLoS Comput. Biol. 20(10): 1011980 (2024) - 2023
- [j9]Chaitanya Joshi, Fabrizio Ruggeri:
On a class of prior distributions that accounts for uncertainty in the data. Int. J. Approx. Reason. 161: 108980 (2023) - 2022
- [j8]Julia R. Falconer, Eibe Frank, Devon L. L. Polaschek, Chaitanya Joshi:
Methods for Eliciting Informative Prior Distributions: A Critical Review. Decis. Anal. 19(3): 189-204 (2022) - [j7]Sudhanshu Shekhar Jha, Chaitanya Joshi, Rama Rao Nidamanuri:
Target Detection in Hyperspectral Imagery Using Atmospheric-Spectral Modeling and Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j6]Paul T. Brown, Chaitanya Joshi, Stephen Joe, Håvard Rue:
A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. Comput. Stat. Data Anal. 157: 107147 (2021) - [j5]Muhammad Ejaz, Stephen Joe, Chaitanya Joshi:
Adversarial Risk Analysis for Auctions Using Mirror Equilibrium and Bayes Nash Equilibrium. Decis. Anal. 18(3): 185-202 (2021) - [j4]Chaitanya Joshi, Sophie Curtis-Ham, Clayton D'Ath, Deane Searle:
Considerations for Developing Predictive Spatial Models of Crime and New Methods for Measuring Their Accuracy. ISPRS Int. J. Geo Inf. 10(9): 597 (2021) - [j3]Chaitanya Joshi, Jesús M. Ríos Aliaga, David Ríos Insua:
Insider Threat Modeling: An Adversarial Risk Analysis Approach. IEEE Trans. Inf. Forensics Secur. 16: 1131-1142 (2021) - 2018
- [j2]Chaitanya Joshi, Fabrizio Ruggeri, Simon P. Wilson:
Prior Robustness for Bayesian Implementation of the Fault Tree Analysis. IEEE Trans. Reliab. 67(1): 170-183 (2018) - 2014
- [j1]Noushin Ashrafi, Jean-Pierre Kuilboer, Chaitanya Joshi, Iris Ran, Priyanka Pande:
Health Informatics in the Classroom: An Empirical Study to Investigate Higher Education's Response to Healthcare Transformation. J. Inf. Syst. Educ. 25(4): 305-316 (2014)
Conference and Workshop Papers
- 2020
- [c2]Lanthao Benedikt, Chaitanya Joshi, Louisa Nolan, Ruben Henstra-Hill, Luke Shaw, Sharon Hook:
Human-in-the-loop AI in government: a case study. IUI 2020: 488-497 - 2015
- [c1]Xin Li, Chaitanya Joshi, Alan Yu Shyang Tan, Ryan Kok Leong Ko:
Inferring User Actions from Provenance Logs. TrustCom/BigDataSE/ISPA (1) 2015: 742-749
Informal and Other Publications
- 2019
- [i3]Chaitanya Joshi, Paul T. Brown, Stephen Joe:
On approximating the shape of one dimensional functions. CoRR abs/1911.03045 (2019) - [i2]Muhammad Ejaz, Chaitanya Joshi, Stephen Joe:
Adversarial Risk Analysis for First-Price Sealed-Bid Auctions. CoRR abs/1911.09851 (2019) - [i1]Chaitanya Joshi, David Ríos Insua, Jesus Rios:
Insider threat modeling: An adversarial risk analysis approach. CoRR abs/1911.09945 (2019)
Coauthor Index
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