1 citations · 1 across the 6 of their papers we have counts for
6 papers
Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context and Confidence
Michele Fiori, Gabriele Civitarese, Marco Colussi +1
Unobtrusive sensor-based recognition of Activities of Daily Living (ADLs) in smart homes by processing data collected from IoT sensing devices supports applications such as healthc…
MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
Marco Colussi, Dragan Ahmetovic, Sergio Mascetti
This paper presents MIAS-SAM, a novel approach for the segmentation of anomalous regions in medical images. MIAS-SAM uses a patch-based memory bank to store relevant image features…
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
Marco Colussi, Sergio Mascetti, Jose Dolz +1
The remarkable progress in deep learning (DL) showcases outstanding results in various computer vision tasks. However, adaptation to real-time variations in data distributions rema…
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
Mattia Giovanni Campana, Marco Colussi, Franca Delmastro +2
In recent months, the monkeypox (mpox) virus -- previously endemic in a limited area of the world -- has started spreading in multiple countries until being declared a ``public hea…
Ultrasound Detection of Subquadricipital Recess Distension
Marco Colussi, Gabriele Civitarese, Dragan Ahmetovic +4
Joint bleeding is a common condition for people with hemophilia and, if untreated, can result in hemophilic arthropathy. Ultrasound imaging has recently emerged as an effective too…
Interpreting deep urban sound classification using Layer-wise Relevance Propagation
Marco Colussi, Stavros Ntalampiras
After constructing a deep neural network for urban sound classification, this work focuses on the sensitive application of assisting drivers suffering from hearing loss. As such, c…