7 papers
Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification
Filippo Cenacchi, Longbing Cao, Runze Yang
Post-hoc calibration for time-series classification usually remaps output scores, but deployment decisions such as trust, abstention, and review depend on whether a confident predi…
FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration
Filippo Cenacchi, Longbing Cao, Runze Yang
Calibration is usually evaluated in aggregate, but the most dangerous failures are often local: predictions that remain highly confident despite being wrong. We study this failure…
Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
Filippo Cenacchi
Predictive systems increasingly span heterogeneous modalities such as graphs, language, and tabular records, but sparsity and efficiency remain modality-specific (graph edge or nei…
SimClinician: A Multimodal Simulation Testbed for Reliable Psychologist AI Collaboration in Mental Health Diagnosis
Filippo Cenacchi, Longbing Cao, Deborah Richards
AI based mental health diagnosis is often judged by benchmark accuracy, yet in practice its value depends on how psychologists respond whether they accept, adjust, or reject AI sug…
Learning When to Ask: Simulation-Trained Humanoids for Mental-Health Diagnosis
Filippo Cenacchi, Deborah Richards, Longbing Cao
Testing humanoid robots with users is slow, causes wear, and limits iteration and diversity. Yet screening agents must master conversational timing, prosody, backchannels, and what…
Passive Dementia Screening via Facial Temporal Micro-Dynamics Analysis of In-the-Wild Talking-Head Video
Filippo Cenacchi, Longbing Cao, Mitchell McEwan +1
We target passive dementia screening from short camera-facing talking head video, developing a facial temporal micro dynamics analysis for language free detection of early neuro co…