| Explaining black-box classifiers using post-hoc explanations-by-example: The effect of explanations and error-rates in XAI user studies EM Kenny, C Ford, M Quinn, MT Keane Artificial Intelligence 294, 103459, 2021 | 234 | 2021 |
| Computer‐assisted psychological assessment and psychotherapy for collegians M Heesacker, C Perez, MS Quinn, S Benton Journal of clinical psychology 76 (6), 952-972, 2020 | 15 | 2020 |
| Do we “fear for the worst” or “hope for the best” in thinking about the unexpected?: Factors affecting the valence of unexpected outcomes reported for everyday scenarios MS Quinn, K Campbell, MT Keane Cognition 208, 104520, 2021 | 9 | 2021 |
| Factors Affecting “Expectations of the Unexpected”: The Impact of Controllability & Valence on Unexpected Outcomes MS Quinn, MT Keane Cognition 225, 105142, 2022 | 4 | 2022 |
| Explanation in Human Thinking J Cassens, L Habenicht, J Blohm, R Wegener, J Korman, S Khemlani, ... Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 2 | 2021 |
| The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected MS Quinn, K Campbell, MT Keane 41st Annual Meeting of the Cognitive Science Society, 2019 | 2 | 2019 |
| People's reports of unexpected events for everyday scenarios: Over 1000 textual responses, human-labelled for valence/sentiment, controllability and topic category MS Quinn, C Ford, MT Keane Data in Brief 44, 108545, 2022 | | 2022 |
| Three datasets reporting unexpected events for everyday scenarios: Over 9000 events human-labelled for overall valence/sentiment, topic category, and relationship to the … MS Quinn, MT Keane Data in brief 35, 106935, 2021 | | 2021 |
| Explaining Black-Box Classifiers Using Post-Hoc Explanations-by-Example EM Kenny, C Ford, MS Quinn, MT Keane 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | | 2021 |
Mark T KeaneChair of Computer Science, University College DublinEmail verificata su ucd.ie