activity
20182022
most citedFederated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

37 citations · 40 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2022

Fully-attentive and interpretable: vision and video vision transformers for pain detection

Giacomo Fiorentini, Itir Onal Ertugrul, Albert Ali Salah

Pain is a serious and costly issue globally, but to be treated, it must first be detected. Vision transformers are a top-performing architecture in computer vision, with little res…

cs.CV20221 cited

Automatic Analysis of Human Body Representations in Western Art

Shu Zhao, Almıla Akdağ Salah, Albert Ali Salah

The way the human body is depicted in classical and modern paintings is relevant for art historical analyses. Each artist has certain themes and concerns, resulting in different po…

cs.CL202237 cited

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

Thomas Borger, Pablo Mosteiro, Heysem Kaya +4

Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity. Predictive machine learni…

eess.AS20222 cited

Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

Pınar Baki, Heysem Kaya, Elvan Çiftçi +2

Bipolar disorder is a mental disorder that causes periods of manic and depressive episodes. In this work, we classify recordings from Bipolar Disorder corpus that contain 7 differe…

cs.CL2020

Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition

Gizem Soğancıoğlu, Oxana Verkholyak, Heysem Kaya +4

Acoustic and linguistic analysis for elderly emotion recognition is an under-studied and challenging research direction, but essential for the creation of digital assistants for th…

cs.CY2020

Mobile phone data and COVID-19: Missing an opportunity?

Nuria Oliver, Emmanuel Letouzé, Harald Sterly +21

This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in asses…