47 citations · 66 across the 11 of their papers we have counts for
5 papers · 1 filter
Streamlined Framework for Agile Forecasting Model Development towards Efficient Inventory Management
Jonathan Hans Soeseno, Sergio González, Trista Pei-Chun Chen
This paper proposes a framework for developing forecasting models by streamlining the connections between core components of the developmental process. The proposed framework enabl…
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram
Sergio González, Wan-Ting Hsieh, Davide Burba +4
Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic. Machine learning models can…
A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
Hao-Chun Yang, Wan-Ting Hsieh, Trista Pei-Chun Chen
Electrocardiogram(ECG) is commonly used to detect cardiac irregularities such as atrial fibrillation, bradycardia, and other irregular complexes. While previous studies have achiev…
A Trainable Reconciliation Method for Hierarchical Time-Series
Davide Burba, Trista Chen
In numerous applications, it is required to produce forecasts for multiple time-series at different hierarchy levels. An obvious example is given by the supply chain in which deman…
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen +1
Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments b…