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Publication search results
found 45 matches
- 2024
- Roberto Confalonieri, Jose Maria Alonso-Moral:
An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence. IEEE Intell. Syst. 39(1): 18-28 (2024) - Annika Schreiner, Nils Kemmerzell:
Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis. HICSS 2024: 7821-7830 - Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li:
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. CoRR abs/2402.15938 (2024) - 2023
- César G. Pachón, Diego Renza, Dora M. Ballesteros L.:
Is My Pruned Model Trustworthy? PE-Score: A New CAM-Based Evaluation Metric. Big Data Cogn. Comput. 7(2): 111 (2023) - Ding Li, Yan Liu, Jun Huang, Zerui Wang:
A Trustworthy View on Explainable Artificial Intelligence Method Evaluation. Computer 56(4): 50-60 (2023) - Eungyu Lee, Yongsoo Lee, Taejin Lee:
Adversarial Attack-Based Robustness Evaluation for Trustworthy AI. Comput. Syst. Sci. Eng. 47(2): 1919-1935 (2023) - G. Sharmila, M. K. Kavitha Devi:
Blockchain Based Consensus Algorithm and Trustworthy Evaluation of Authenticated Subgraph Queries. Comput. Syst. Sci. Eng. 45(2): 1743-1758 (2023) - Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8538-8552 (2023) - Rui Jiang, Jiatao Li, Weifeng Bu, Xiang Shen:
A Blockchain-Based Trustworthy Model Evaluation Framework for Deep Learning and Its Application in Moving Object Segmentation. Sensors 23(14): 6492 (2023) - Hyeongju Kim, Hyeong-Seok Choi:
Towards Trustworthy Phoneme Boundary Detection with Autoregressive Model and Improved Evaluation Metric. ICASSP 2023: 1-5 - Kristýna Sirka Kacafírková, Sara Polak, Myriam Sillevis Smitt, Shirley A. Elprama, An Jacobs:
Trustworthy Enough? Evaluation of an AI Decision Support System for Healthcare Professionals. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 7-11 - Krishna Ronanki, Beatriz Cabrero Daniel, Christian Berger:
ChatGPT as a Tool for User Story Quality Evaluation: Trustworthy Out of the Box? XP Workshops 2023: 173-181 - Krishna Ronanki, Beatriz Cabrero Daniel, Christian Berger:
ChatGPT as a tool for User Story Quality Evaluation: Trustworthy Out of the Box? CoRR abs/2306.12132 (2023) - Christoforos N. Hadjicostis, Alejandro D. Domínguez-García:
Trustworthy Distributed Average Consensus based on Locally Assessed Trust Evaluations. CoRR abs/2309.00920 (2023) - 2022
- Axel Curmi, Christian Colombo, Mark Vella:
RV-TEE-Based Trustworthy Secure Shell Deployment: An Empirical Evaluation. J. Object Technol. 21(2): 2:1-15 (2022) - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR abs/2202.05456 (2022) - Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca:
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability. CoRR abs/2210.16144 (2022) - Hyeongju Kim, Hyeong-Seok Choi:
Towards trustworthy phoneme boundary detection with autoregressive model and improved evaluation metric. CoRR abs/2212.06387 (2022) - 2021
- Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek:
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies. J. Biomed. Informatics 113: 103655 (2021) - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData 2021: 469-479 - Qinnan Zhang, Qingyang Ding, Jianming Zhu, Dandan Li:
Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method. WCNC Workshops 2021: 1-6 - Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR abs/2106.06046 (2021) - 2020
- Fatin Hamadah Rahman, Thien-Wan Au, S. H. Shah Newaz, Wida Susanty Suhaili, Gyu Myoung Lee:
Find my trustworthy fogs: A fuzzy-based trust evaluation framework. Future Gener. Comput. Syst. 109: 562-572 (2020) - Mohammad Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena, José Carlos Cabaleiro:
TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. IEEE Trans. Ind. Informatics 16(9): 6203-6213 (2020) - Haokai Ji, Chundong Wang, Xu Jiao, Xiu-liang Mo, Wenjun Yang:
A Trustworthy Evaluation System Based on Blockchain. DASFAA (3) 2020: 755-759 - Aniek F. Markus, Jan A. Kors, Peter R. Rijnbeek:
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies. CoRR abs/2007.15911 (2020) - Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? CoRR abs/2008.03533 (2020) - 2019
- Nazila Gol Mohammadi:
Trustworthy Cyber-Physical Systems - A Systematic Framework towards Design and Evaluation of Trust and Trustworthiness. University of Duisburg-Essen, Germany, Springer Vieweg 2019, ISBN 978-3-658-27487-0, pp. 1-320 - Jun Du, Erol Gelenbe, Chunxiao Jiang, Haijun Zhang, Yong Ren, H. Vincent Poor:
Peer Prediction-Based Trustworthiness Evaluation and Trustworthy Service Rating in Social Networks. IEEE Trans. Inf. Forensics Secur. 14(6): 1582-1594 (2019) - 2018
- Junseok Park, Seongkuk Park, Kwangmin Kim, Doheon Lee:
CORUS: Blockchain-Based Trustworthy Evaluation System for Efficacy of Healthcare Remedies. CloudCom 2018: 181-184
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