New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Frontiers

NephroNet: a calibration-aware, patient-disjoint benchmark for multiclass kidney CT classification with a compact depthwise-separable CNN

A patient-disjoint, group-stratified hold-out benchmark is established for four-class kidney CT classification (Normal, Cyst, Tumor, Stone) on a 12,446-image multicenter cohort, and NephroNet — a ...
GitHub

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

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GitHub

Trustworthy-AI-Group/Adversarial_Examples_Papers

Chengzeng You, Binbin Xu, Soteris Demetriou SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset Ariel Gjaci, Antonio Sgorbissa, Vittorio Murino Intermediate Text ...