Statistical Perspectives on Reliability of Artificial Intelligence
Systems

Statistical Perspectives on Reliability of Artificial Intelligence Systems

9 November 2021

Laura J. Freeman

Papers citing "Statistical Perspectives on Reliability of Artificial Intelligence Systems"

13 / 13 papers shown

Title
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis Xinyi Song Lina Lee Kexin Xie Xueying Liu Xinwei Deng Yili Hong ALM ELM 59 0 0 24 Feb 2025
Contextualized AI for Cyber Defense: An Automated Survey using LLMs Christoforus Yoga Haryanto Anne Maria Elvira Trung Duc Nguyen Minh Hieu Vu Yoshiano Hartanto Emily Lomempow Arathi Arakala 33 0 0 20 Sep 2024
A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images Xinyi Song K. Odongo Francis G. Pascual Yili Hong 16 0 0 12 Aug 2024
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs Seyedhamidreza Mousavi Mohammad Hasan Ahmadilivani J. Raik M. Jenihhin Masoud Daneshtalab 25 2 0 10 Jun 2024
Planning Reliability Assurance Tests for Autonomous Vehicles Simin Zheng Lu Lu Yili Hong Jian Liu 13 2 0 30 Nov 2023
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data Li Xu Yili Hong Eric P. Smith David S. McLeod Xinwei Deng Laura J. Freeman 23 1 0 15 Nov 2023
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems Thomas E. Doyle Victoria Tucci Calvin Zhu Yifei Zhang Basem Yassa Sajjad Rashidiani Md Asif Khan Reza Samavi Michael Noseworthy S. Yule 10 1 0 14 Oct 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 21 65 0 15 Nov 2021
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World Daniel J. Fremont Edward Kim Yash Vardhan Pant S. Seshia Atul Acharya Xantha Bruso Paul Wells Steve Lemke Q. Lu Shalin Mehta 71 122 0 17 Mar 2020
A Safety Framework for Critical Systems Utilising Deep Neural Networks Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 50 47 0 07 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 241 13,283 0 25 Aug 2014