| Principles of explanation in human-AI systems ST Mueller, ES Veinott, RR Hoffman, G Klein, L Alam, T Mamun, ... arXiv preprint arXiv:2102.04972, 2021 | 68 | 2021 |
| An analytical comparison on filter feature extraction method in data mining using J48 classifier AR Onik, NF Haq, L Alam, TI Mamun International Journal of Computer Applications 124 (13), 2015 | 31 | 2015 |
| Examining methods for combining speed and accuracy in a go/no-go vigilance task ST Mueller, L Alam, GJ Funke, A Linja, T Ibne Mamun, SL Smith Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020 | 10 | 2020 |
| Collaborative Explainable AI: A non-algorithmic approach to generating explanations of AI TI Mamun, RR Hoffman, ST Mueller International Conference on Human-Computer Interaction, 144-150, 2021 | 8 | 2021 |
| When self-driving fails: Evaluating social media posts regarding problems and misconceptions about tesla’s fsd mode A Linja, TI Mamun, ST Mueller Multimodal Technologies and Interaction 6 (10), 86, 2022 | 7 | 2022 |
| Assessing collaborative explanations of AI using explanation goodness criteria TI Mamun, K Baker, H Malinowski, RR Hoffman, ST Mueller Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 …, 2021 | 7 | 2021 |
| Android security vulnerabilities due to user unawareness and frameworks for overcoming those vulnerabilities TI Mamun, L Alam International Journal of Computer Applications 975, 8887, 2016 | 3 | 2016 |
| Assessing Satisfaction in and Understanding of a Collaborative Explainable AI (Cxai) System through User Studies T Ibne Mamun, L Alam, RR Hoffman, ST Mueller Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66 (1 …, 2022 | 2 | 2022 |
| Non-algorithms for Explainable Artificial Intelligence S Mueller, R Hoffman, G Klein, T Mamun, M Jalaeian | 1 | 2021 |
| Development and Investigation on a Collaborative XAI System (CXAI) ST Mueller, TI Mamun, RR Hoffman Technical Report, 2021 | 1 | 2021 |
| Investigating the Impact of Online Human Collaboration in Explanation of AI Systems TI Mamun Michigan Technological University, 2021 | 1 | 2021 |
| Improving Safety At Highway-Rail Grade Crossings Using In-Vehicle Auditory Alerts C Nadri, P Lautala, ES Veinott, TI Mamun, A Dam, M Jeon Adjunct Proceedings of the 15th International Conference on Automotive User …, 2023 | | 2023 |
| The use of social forums to train users about shortcomings of Tesla Full Self-Driving (FSD) TI Mamun, ST Mueller Proceedings of the Human Factors and Ergonomics Society Annual Meeting 67 (1 …, 2023 | | 2023 |
| Developing Safe and Efficient Driving and Routing Strategies at Railroad Grade Crossings based on Highway-Railway Connectivity K Zhang, P Lautala, RR Souleyrette, Y Tan, Y Yang, YC Hung, TI Mamun, ... United States. Department of Transportation. Federal Railroad Administration, 2023 | | 2023 |
| Investigating Collaborative Explainable AI (CXAI)/Social Forum as an Explainable AI (XAI) Method in Autonomous Driving (AD) TI Mamun Michigan Technological University, 2023 | | 2023 |
| Predicting Depression using a Biochemistry Profile and Machine Learning for Better Risk Stratification TI Mamun, L Alam International Journal of Computer Applications 975, 8887, 2022 | | 2022 |
| Agent-based epidemic simulation models in R L Alam, A Linja, TI Mamun, S Mueller | | 2020 |
| PODA: An open science data archive for behavioral test data collected using PEBL test battery TI Mamun, S Mueller https://www.researchgate.net/publication …, 2019 | | 2019 |
| Year of Publication: 2016 TI Mamun, L Alam | | 2016 |
| A Computational Cognitive Model of Informative and Persuasive Explanations of Artificial Intelligence Systems ST Mueller, K Cischke, L Alam, T Mamun | | |
Shane T. MuellerProfessor, Michigan Technological UniversityVerified email at mtu.edu
