2 papers
cs.LG2025
Instance-Wise Monotonic Calibration by Constrained Transformation
Yunrui Zhang, Gustavo Batista, Salil S. Kanhere
Deep neural networks often produce miscalibrated probability estimates, leading to overconfident predictions. A common approach for calibration is fitting a post-hoc calibration ma…
cs.NI2025
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista +1
Network traffic classification is of great importance for network operators in their daily routines, such as analyzing the usage patterns of multimedia applications and optimizing…