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Yash Raj Shrestha
Yash Raj Shrestha
University of Lausanne, Applied AI Lab
Bestätigte E-Mail-Adresse bei unil.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Organizational decision-making structures in the age of artificial intelligence
YR Shrestha, SM Ben-Menahem, G Von Krogh
California management review 61 (4), 66-83, 2019
6962019
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
YR Shrestha, V Krishna, G von Krogh
Journal of Business Research 123, 588-603, 2021
2282021
Algorithm-supported induction for building theory: How can we use prediction models to theorize?
YR Shrestha, VF He, P Puranam, G von Krogh
Organization Science 32 (3), 856-880, 2021
137*2021
Bringing artificial intelligence to business management
S Feuerriegel, YR Shrestha, G von Krogh, C Zhang
Nature Machine Intelligence 4, 611-613, 2022
752022
Fairness in algorithmic decision-making: Applications in multi-winner voting, machine learning, and recommender systems
YR Shrestha, Y Yang
Algorithms 12 (9), 199, 2019
672019
Human and Al Ensembles: When Can They Work?
V Choudhary, A Marchetti, YR Shrestha, P Puranam
Journal of Management, 2023
552023
Resolving governance disputes in communities: A study of software license decisions
VF He, P Puranam, YR Shrestha, G von Krogh
Strategic Management Journal 41, 1837-1868, 2020
462020
Adversarial Learning for Debiasing Knowledge Graph Embeddings
M Arduini, L Noci, F Pirovano, C Zhang, YR Shrestha, B Paudel
MLG at KDD Conference 2020. The 16th International Workshop on Mining and …, 2020
402020
A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records
L Franz, YR Shrestha, B Paudel
BioKDD at KDD Conference 2020. The 19th International Workshop on Data …, 2020
372020
Artificial Intelligence in Strategizing: Prospects and Challenges
G von Krogh, S Ben-Menahem, YR Shrestha
Strategic Management: State of the Field and Its Future, 2021
202021
Building Open-Source AI
YR Shrestha, G von Krogh, S Feuerriegel
Nature Computational Science, 2023
132023
How Hard Is Bribery with Distance Restrictions?
Y Yang, YR Shrestha, J Guo
ECAI: 22nd European Conference on Artificial Intelligence, 363-371, 2016
132016
Parameterized complexity of edge interdiction problems
J Guo, YR Shrestha
Computing and Combinatorics: 20th International Conference, COCOON 2014 …, 2014
132014
Towards Automatic Bias Detection in Knowledge Graphs
D Keidar, M Zhong, C Zhang, YR Shrestha, B Paudel
Empirical Methods in Natural Language Processing (EMNLP 2021), 2021
112021
When Does Schwartz Conjecture Hold?
M Mnich, YR Shrestha, Y Yang
Proc. of the 24th International Joint Conference on Artificial Intelligence …, 2015
92015
Design principles for artificial intelligence-augmented decision making: An action design research study
S Herath Pathirannehelage, YR Shrestha, G von Krogh
European Journal of Information Systems, 2024
7*2024
Healthcare hackathons as open innovation
CH Park, G von Krogh, M Meboldt, C Stadtfeld, YR Shrestha
Nature Reviews Bioengineering, 2023
72023
On the complexity of bribery with distance restrictions
Y Yang, YR Shrestha, J Guo
Theoretical Computer Science 760, 55-71, 2019
62019
On the kernelization of split graph problems
Y Yang, YR Shrestha, W Li, J Guo
Theoretical Computer Science, 2018
62018
Comparing the willingness to share for human-generated vs. AI-generated fake news
A Bashardoust, S Feuerriegel, YR Shrestha
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2), 1-21, 2024
52024
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