activity
20212024
most citedMinimizing false negative rate in melanoma detection and providing insight into the causes of classification

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images

László Kopácsi, Áron Fóthi, András Lőrincz

Recognition of individual components and keypoint detection supported by instance segmentation is crucial to analyze the behavior of agents on the scene. Such systems could be used…

cs.CV2024

Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings

Ádám Fodor, Rachid R. Saboundji, András Lőrincz

Automatic personality trait assessment is essential for high-quality human-machine interactions. Systems capable of human behavior analysis could be used for self-driving cars, med…

cs.HC2022

Perceived personality state estimation in dyadic and small group interaction with deep learning methods

Kristian Fenech, Ádám Fodor, Sean P. Bergeron +3

Dyadic and small group collaboration is an evolutionary advantageous behaviour and the need for such collaboration is a regular occurrence in day to day life. In this paper we esti…

cs.LG2022

Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness

Dávid Szeghy, Mahmoud Aslan, Áron Fóthi +3

While deep neural networks are sensitive to adversarial noise, sparse coding using the Basis Pursuit (BP) method is robust against such attacks, including its multi-layer extension…

cs.CV20212 cited

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

Ellák Somfai, Benjámin Baffy, Kristian Fenech +8

Our goal is to bridge human and machine intelligence in melanoma detection. We develop a classification system exploiting a combination of visual pre-processing, deep learning, and…