8 citations · 9 across the 6 of their papers we have counts for
6 papers
In-Context Learning for Data-Driven Censored Inventory Control
Sohom Mukherjee, Anh-Duy Pham, Richard Pibernik +1
We study inventory control with decision-dependent censoring, focusing on the censored or repeated newsvendor (R-NV), where each order quantity determines whether demand is fully o…
AMBER: A Columnar Architecture for High-Performance Agent-Based Modeling in Python
Anh-Duy Pham
Python is widely used for agent-based modelling because it is accessible and has a mature scientific ecosystem, but object-per-agent execution incurs interpreter overhead that rest…
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham, Olivier Basole Kashongwe, Martin Atzmueller +1
Balancing performance and interpretability in multivariate time series classification is a significant challenge due to data complexity and high dimensionality. This paper introduc…
LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping
J. Schmidinger, S. Vogel, V. Barkov +33
Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking s…
Sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: A causal approach
Anh-Duy Pham, Chuong Dinh Le, Hoang Viet Pham +5
Sheaf theory, which is a complex but powerful tool supported by topological theory, offers more flexibility and precision than traditional graph theory when it comes to modeling re…
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
Anh-Duy Pham, Anastassia Kuestenmacher, Paul G. Ploeger
Deep learning has become a one-size-fits-all solution for technical and business domains thanks to its flexibility and adaptability. It is implemented using opaque models, which un…