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プロフィール詳細
Dr. Marko T.に依頼
United Kingdom
Freelance Statistician and Data Scientists | Expert in R and Python
プロフィール概要
専門分野
サービス
Research
Scientific and Technical Research
Consulting
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-Non ML,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
職務経験
Postdoctoral Researcher
University of Cambridge
7月 2023 - 現在 ![]()
Group Leader/ Principal Investigator
Alan Turing Institute
10月 2022 - 4月 2023
RAEng IC Postdoctoral research fellow
Birkbeck University of London
3月 2021 - 2月 2023 ![]()
Visiting Lecturer
City University of London
10月 2020 - 12月 2020 ![]()
Research Intern
Blackrock
10月 2019 - 3月 2020
Seminar leader
Birkbeck, University of London
2月 2020 - 2月 2020 ![]()
Researcher
Ludwig-Maximilians-Universität München
10月 2016 - 9月 2017 ![]()
Teaching assistant for Logic and Discrete Structures
Ludwig-Maximilians-Universität München
3月 2017 - 8月 2017 ![]()
Teaching assistant for Logic 1
Ludwig-Maximilians-Universität München
10月 2016 - 3月 2017 ![]()
Teaching assistant for M.A. course Central Topics in Philosophy of Science
Ludwig-Maximilians-Universität München
10月 2016 - 3月 2017 ![]()
学歴
PhD
Birkbeck, University of London
10月 2017 - 12月 2020
Ph.D. (Psychology)
Birkbeck University of London
10月 2017 - 12月 2020 ![]()
M.A. in logic and philosophy of science (Munich Center for Mathematical Philosphy)
Ludwig-Maximilians-Universität München
- 8月 2016 ![]()
B.A. (Philosophy)
University of Belgrade
- 7月 2014 ![]()
認定資格
- 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
Marko Tesic, Ulrike Hahn(2023). Argument and explanation . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 381. (2251). The Royal Society
Marko Tesic, Ulrike Hahn(2022). Can counterfactual explanations of AI systems’ predictions skew lay users’ causal intuitions about the world? If so, can we correct for that? . Patterns. 3. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 100635. Elsevier {BV}
(2020). The propensity interpretation of probability and diagnostic split in explaining away . Cognitive Psychology.
Cruz, N., Desai, S.C., Dewitt, S., Hahn, U., Lagnado, D., Liefgreen, A., Phillips, K., Pilditch, T., Tešić, M.(2020). Widening Access to Bayesian Problem Solving . Frontiers in Psychology. 11.
Tešić, M.(2019). Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis . Synthese. 196. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1097-1129.
BOOK CHAPTER
(2021). Explanation in AI systems . Human-Like Machine Intelligence.
CONFERENCE PAPER
Te{\v{s}}i\'c, Marko and Hahn, Ulrike(2019). Sequential diagnostic reasoning with independent causes . Proceedings of the 41th Annual Conference of the Cognitive Science Society. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2947--2953. Cognitive Science Society
Liefgreen, Alice and Te\v{s}i\'{c}, Marko and Lagnado, David(2018). Explaining away: Significance of priors, diagnostic reasoning, and structural complexity . Proceedings of the 40th Annual Conference of the Cognitive Science Society. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2047--2052. Cognitive Science Society