activity
20212026
most citedMinimizing false negative rate in melanoma detection and providing insight into the causes of classification

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Automatic Reflection Level Classification in Hungarian Student Essays

Zsolt Csibi, Mónika Sándor, Mónika Serfőző +2

Reflective thinking is a key competency in education, but assessing reflective writing remains a time-consuming and subjective task for education experts. While automated reflectiv…

cs.HC2025

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance

Gábor Baranyi, Zsolt Csibi, Kristian Fenech +4

This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advanced artificial intelligence-based solution tailored for home rehabilitation environm…

cs.CV2024

Skel3D: Skeleton Guided Novel View Synthesis

Aron Fóthi, Bence Fazekas, Natabara Máté Gyöngyössy +1

In this paper, we present an approach for monocular open-set novel view synthesis (NVS) that leverages object skeletons to guide the underlying diffusion model. Building upon a bas…

cs.CL2024

Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations

Maria Tsfasman, Bernd Dudzik, Kristian Fenech +3

Conversational memory is the process by which humans encode, retain and retrieve verbal, non-verbal and contextual information from a conversation. Since human memory is selective,…

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.CV2021★ 2 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…