Jacob Dineen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Prediction Model

Top Venues

Publications

Jacob Dineen, Donald J. Kridel, Daniel R. Dolk, David G. Castillo
Unified Explanations in Machine Learning Models: A Perturbation Approach. CoRR (2024)
Donald J. Kridel, Jacob Dineen, Daniel R. Dolk, David G. Castillo
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models. CoRR (2024)
Jacob Dineen, Donald J. Kridel, Daniel R. Dolk, David G. Castillo
Unified Explanations in Machine Learning Models: A Perturbation Approach. HICSS (2023)
Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
Reinforcement Learning For Data Poisoning on Graph Neural Networks. CoRR (2021)
Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
Formal Methods for an Iterated Volunteer's Dilemma. SBP-BRiMS (2021)
Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
Reinforcement Learning for Data Poisoning on Graph Neural Networks. SBP-BRiMS (2021)
Jacob Dineen, A. S. M. Ahsan-Ul-Haque, Matthew Bielskas
Formal methods for aN Iterated volunteer's dilemma. CoRR (2020)
Daniel R. Dolk, Donald J. Kridel, Jacob Dineen, David G. Castillo
Model Interpretation and Explainability towards Creating Transparency in Prediction Models. HICSS (2020)