Conference Proceedings – Applied Artificial Intelligence Lab

Bashardoust, A., Negin, S., Haki, K., & Shrestha, Y. R. (2023) Employing Machine Learning to Advance Agent-based Modeling in Information Systems Research International Conference on Information Systems
Herath Pathirannehelage, S., Johannsson, J. G., Shrestha, Y. R., & von Krogh, G. (2023) Artificial Intelligence-Augmented Decision Making in Supply Chain Monitoring: An Action Design Research Study, European Conference on Information Systems paper

Erdös Number: 4 (Erdös > Noga Alon > Rudolf Fleischer > Jiong Guo > Yash Raj Shrestha)

Keidar, D., Zhong, M., Zhang, C., Shrestha, Y. R., & Paudel, B. (2021). Towards Automatic Bias Detection in Knowledge Graphs. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021). Nov 7–11, 2021 paper video

Arduini, M., Noci, L., Pirovano, F., Zhang, C., Shrestha, Y. R., & Paudel, B. (2020). Adversarial learning for debiasing knowledge graph embeddings. In MLG 2020: 16th International Workshop on Miningand Learning with Graphs – A Workshop at the KDD Conference, August 24,2020, San Diego, CA.ACM, New York, NY, USA, 7 pages paper video

Leopold F., Shrestha, Y. R. & Paudel, B. (2020). A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records. In BioKDD 2020: 19th International Workshop on Data Mining in Bioinformatics, August 24, 2020, San Diego, CA.ACM, New York, NY, USA paper video

Shrestha, Y. R., & Yang, Y. (2019). Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems. Algorithms, 12(9), 199. paper

Yang, Y., Shrestha, Y. R., & Guo, J. (2016). How Hard Is Bribery with Distance Restrictions? In Proceedings of European Conference on Artificial Intelligence, 363-371 paper

Yang, Y., Shrestha, Y. R., Li, W., & Guo, J. (2016). Kernelization of two path searching problems on split graphs. In Frontiers in Algorithmics , Lecture Notes in Computer Science, 238-249. paper

Mnich, M., Shrestha, Y. R., & Yang, Y. (2015). When does Schwartz conjecture hold? In Proceedings of the International Joint Conference on Artificial Intelligence, 603-609 paper

Guo, J., Shrestha, Y. R., & Yang, Y. (2015). How Credible is the Prediction of a Party-Based Election? In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 1431-1439. International Foundation for Autonomous Agents and Multiagent Systems. paper

Yang, Y., Shrestha, Y. R., & Guo, J. (2015). How Hard is Bribery in Party Based Elections?. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems,1725-1726. International Foundation for Autonomous Agents and Multiagent Systems. paper

Guo, J., Shrestha, Y. R. (2014). Controlling Two-stage Voting Rules, In Proceedings of European Conference on Artificial Intelligence, Frontiers of Artificial Intelligence and Applications, 263, 411-416 paper

Guo, J., & Shrestha, Y. R. (2014) Parameterized Complexity of Edge Interdiction Problems In: Computing and Combinatorics, Lecture Notes in Computer Science, vol. 8591, 166-178 paper

Guo, J., & Shrestha, Y. R. (2014). Complexity of Disjoint Π-Vertex Deletion for Disconnected Forbidden Subgraphs. In Algorithms and Computation, Lecture Notes in Computer Science, vol. 8344, 286-297 paper

Guo, J., & Shrestha, Y. R. (2012). Kernelization and Parameterized Complexity of Star Editing and Union Editing. In Algorithms and Computation, Lecture Notes in Computer Science, vol. 7676, 126-135 paper