Articles

Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks

in Machine Learning and Artificial Intelligence

• Devesh Jawla
• John Kelleher

Constraining cosmological parameters from N-body simulations with variational Bayesian neural networks

in Astrostatistics

• Héctor J. Hortúa
• Luz Ángela García
• Leonardo Castañeda C.

Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network

• Bingcai Wei
• Hui Liu
• Chuang Qian
• Haoliang Shen
• Yibiao Chen
• Yixin Wang

Bayesian neural networks using magnetic tunnel junction-based probabilistic in-memory computing

in Computational Nanotechnology

• Samuel Liu
• T. Patrick Xiao
• Jaesuk Kwon
• Bert J. Debusschere
• Sapan Agarwal
• Jean Anne C. Incorvia
• Christopher H. Bennett

Lowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI

in Human-Media Interaction

• Snehal Prabhudesai
• Jeremiah Hauth
• Dingkun Guo
• Arvind Rao
• Nikola Banovic
• Xun Huan

Enhancing autonomous systems with bayesian neural networks: a probabilistic framework for navigation and decision-making

in Transportation and Transit Systems

• Ngartera Lebede
• Saralees Nadarajah

Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia

in Machine Learning and Artificial Intelligence

• Albert Whata
• Katlego Dibeco
• Kudakwashe Madzima
• Ibidun Obagbuwa

An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks

in Ocean Observation

• Henry C. Bittig
• Tobias Steinhoff
• Hervé Claustre
• Björn Fiedler
• Nancy L. Williams
• Raphaëlle Sauzède
• Arne Körtzinger
• Jean-Pierre Gattuso

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks

in Neural Technology

• Rifai Chai
• Sai Ho Ling
• Phyo Phyo San
• Ganesh R. Naik
• Tuan N. Nguyen
• Yvonne Tran
• Ashley Craig
• Hung T. Nguyen

Machine learning enhances prediction of plants as potential sources of antimalarials

in Plant Metabolism and Chemodiversity

• Adam Richard-Bollans
• Conal Aitken
• Alexandre Antonelli
• Cássia Bitencourt
• David Goyder
• Eve Lucas
• Ian Ondo
• Oscar A. Pérez-Escobar
• Samuel Pironon
• James E. Richardson