Krishna Prasad Neupane

According to our database, Krishna Prasad Neupane authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning.

Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions.

Krishna Prasad Neupane, Igor Griva

Proceedings of the 14th International Conference on Data Science, 2025

2024

A Random Forest approach to detect and identify Unlawful Insider Trading.

Krishna Prasad Neupane, Igor Griva

CoRR, 2024

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation.

Krishna Prasad Neupane, Ervine Zheng, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Using Accessibility Awareness Interventions to Improve Computing Education.

Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz

Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, 2024

Meta Evidential Transformer for Few-Shot Open-Set Recognition.

Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Experiential and Expression-based Accessibility Awareness Interventions to Improve Computing Education.

Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery.

Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu

Proceedings of the International Conference on Machine Learning, 2023

2022

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations.

Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review.

Krishna Prasad Neupane, Fulya Baysal-Gurel

Remote. Sens., 2021

MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations.

Krishna Prasad Neupane, Ervine Zheng, Qi Yu

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

CuVPP: Filter-based Longest Prefix Matching in Software Data Planes.

Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

An Approach for Investigating Emotion Dynamics in Software Development.

Krishna Prasad Neupane

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

EmoD: An End-to-End Approach for Investigating Emotion Dynamics in Software Development.

Krishna Prasad Neupane, Kabo Cheung, Yi Wang

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019