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Strobel, Martin
576  Ergebnisse:
Personensuche X
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1

On The Impact of Machine Learning Randomness on Group Fairn..:

, In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency,
Ganesh, Prakhar ; Chang, Hongyan ; Strobel, Martin. - p. 1789-1800 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Data Privacy and Trustworthy Machine Learning:

Strobel, Martin ; Shokri, Reza
IEEE Security & Privacy.  20 (2022)  5 - p. 44-49 , 2022
Link: https://doi.org/10.1109/..
 
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3

Moral opportunism as a consequence of decision making under..:

Merguei, Nitzan ; Strobel, Martin ; Vostroknutov, Alexander
Journal of Economic Behavior & Organization.  197 (2022)  - p. 624-642 , 2022
Link: https://doi.org/10.1016/..
 
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4

Free Neighborhood Choice Boosts Socially Optimal Outcomes i..:

Riedl, Arno ; Rohde, Ingrid M.T. ; Strobel, Martin
Scientific Reports.  , 2021
Link: https://ssrn.com/abstrac..
 
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5

On the Privacy Risks of Model Explanations:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,
Shokri, Reza ; Strobel, Martin ; Zick, Yair - p. 231-241 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Free neighborhood choice boosts socially optimal outcomes i..:

Riedl, Arno ; Rohde, Ingrid M. T. ; Strobel, Martin
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

Turning up the heat: The impact of indoor temperature on se..:

Stroom, Martijn ; Kok, Nils ; Strobel, Martin.
Judgment and Decision Making.  16 (2021)  3 - p. 766-795 , 2021
Link: https://doi.org/10.1017/..
 
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8

A Safari through FPGA-based Neural Network Compilation and ..:

, In: 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM),
Plagwitz, Patrick ; Hannig, Frank ; Strobel, Martin.. - p. 10-19 , 2021
Link: https://doi.org/10.1109/..
 
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9

High Dimensional Model Explanations : An Axiomatic Appro..:

, In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency,
Patel, Neel ; Strobel, Martin ; Zick, Yair - p. 401-411 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Analyzing the Practical Relevance of the Condorcet Loser Pa..:

, In: Studies in Choice and Welfare; Evaluating Voting Systems with Probability Models,
Brandt, Felix ; Geist, Christian ; Strobel, Martin - p. 97-115 , 2020
Link: https://doi.org/10.1007/..
 
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11

Exploring the No-Show Paradox for Condorcet Extensions:

, In: Studies in Choice and Welfare; Evaluating Voting Systems with Probability Models,
Brandt, Felix ; Hofbauer, Johannes ; Strobel, Martin - p. 251-273 , 2020
Link: https://doi.org/10.1007/..
 
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12

Reward and punishment in a team contest:

Heine, Florian ; Strobel, Martin ; Schwieren, Christiane
PLOS ONE.  15 (2020)  9 - p. e0236544 , 2020
Link: https://doi.org/10.1371/..
 
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13

Exploring the No-Show Paradox for Condorcet Extensions Usin..:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
Brandt, Felix ; Hofbauer, Johannes ; Strobel, Martin - p. 520-528 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

Aspects of Transparency in Machine Learning:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,
Strobel, Martin - p. 2449-2451 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

An Axiomatic Approach to Explain Computer Generated Decisio..:

, In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society,
Strobel, Martin - p. 380-381 , 2018
Link: https://dl.acm.org/doi/1..
 
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