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ORCIDAITest 2023: Athens, Greece
- IEEE International Conference On Artificial Intelligence Testing, AITest 2023, Athens, Greece, July 17-20, 2023. IEEE 2023, ISBN 979-8-3503-3629-0
- Emanuele De Angelis, Guglielmo De Angelis, Maurizio Proietti:
A Classification Study on Testing and Verification of AI-based Systems. 1-8 - Abanoub Ghobrial
, Darryl Hond, Hamid Asgari, Kerstin Eder:
A Trustworthiness Score to Evaluate DNN Predictions. 9-16 - Muyeed Ahmed, Iulian Neamtiu:
DeAnomalyzer: Improving Determinism and Consistency in Anomaly Detection Implementations. 17-25 - Gabriele Incorvaia, Darryl Hond, Hamid Asgari:
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. 26-33 - Faqeer ur Rehman, Madhusudan Srinivasan:
Metamorphic Testing For Machine Learning: Applicability, Challenges, and Research Opportunities. 34-39 - Hamzah Al-Qadasi, Yliès Falcone, Saddek Bensalem:
Difficulty and Severity-Oriented Metrics for Test Prioritization in Deep Learning Systems. 40-48 - Jesús Morán, Antonia Bertolino, Claudio de la Riva, Javier Tuya:
Fault Localization for Reinforcement Learning. 49-50 - Yulia Kumar, Patricia Morreale, Peter Sorial, Justin Delgado, J. Jenny Li, Patrick Martins:
A Testing Framework for AI Linguistic Systems (testFAILS). 51-54 - Ehab Ebrahim, Mazen Sayed, Mahmoud Youssef, Hisham Essam, Salma Abd El-Fattah, Dina Ashraf, Omar Magdy, Reem ElAdawi:
AI Decision Assistant ChatBot for Software Release Planning and Optimized Resource Allocation. 55-60 - Masatoshi Sekine, Daisuke Shimbara, Tomoyuki Myojin, Eri Imatani:
Visualization Tool for Extraction of Various Attributes and Corresponding Data for Dataset Quality Assessment. 61-65 - Yejun He, Muslim Razi, Jerry Zeyu Gao, Chuanqi Tao:
A Framework for Autonomous Vehicle Testing Using Semantic Models. 66-73 - Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg:
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. 74-81 - Anne-Laure Wozniak, Ngoc Q. K. Duong, Ian Benderitter, Sarah Leroy, Sergio Segura, Raúl Mazo:
Robustness Testing of an Industrial Road Object Detection System. 82-89 - Cristina Landing, Jie Liu, Katerina Katsarou, Sahar Tahvili:
Time Series Anomaly Detection using Convolutional Neural Networks in the Manufacturing Process of RAN. 90-98 - Mohamed Abdelkarim, Reem ElAdawi:
TCP-Net++: Test Case Prioritization Using End-to-End Deep Neural Networks - Deployment Analysis and Enhancements. 99-106 - Yue Ding, Qian Wu, Yinzhu Li, Dongdong Wang, Jiaxin Huang:
Leveraging Deep Learning Models for Cross-function Null Pointer Risks Detection. 107-113 - Xuan Zheng, Kerstin Eder, Tim Blackmore:
Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure. 114-121 - Manuel Magalhães, Ângelo Morgado, Henrique Jesus, Nuno Pombo:
Unlocking the Potential of Dynamic Languages: An Exploration of Automated Unit Test Generation Techniques. 122-126 - Weison Lin, Xianpo Ni, Tughrul Arslan:
Resource-Aware Online Permanent Fault Detection Mechanism for Streaming Convolution Engine in Edge AI Accelerators. 132-137 - Huanhuan Zhao, Haihua Chen, Hong-Jun Yoon:
Enhancing Text Classification Models with Generative AI-aided Data Augmentation. 138-145 - Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding:
Measurement and Identification of Informative Reviews for Automated Summarization. 146-151 - Xi Luo, Yuhui Deng, Junjie Liu, Sirong Wu, Gengchen Sun:
Debunk online rumors via generative-contrastive learning based on tree-transformer. 152-159 - Kate Kargozari, Junhua Ding, Haihua Chen:
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. 160-168 - Ramya Srinivasan, Hiroya Inakoshi, Kanji Uchino:
Leveraging Cognitive Science for Testing Large Language Models. 169-171
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last updated on 2024-11-07 20:17 CET by the dblp team
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