activity
20202023
most citedAudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis

61 citations · 72 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2023★ 3 cited

Beyond One-Size-Fits-All: A Survey of Personalized Affective Computing in Human-Agent Interaction

Jialin Li, Maha Elgarf, Alia Waleed +1

In personalized machine learning, the aim of personalization is to train a model that caters to a specific individual or group of individuals by optimizing one or more performance…

cs.HC2022★ 2 cited

Automatic Context-Driven Inference of Engagement in HMI: A Survey

Hanan Salam, Oya Celiktutan, Hatice Gunes +1

An integral part of seamless human-human communication is engagement, the process by which two or more participants establish, maintain, and end their perceived connection. Therefo…

cs.CL2022

AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum

Valentin Roche, Jean-Philippe Robert, Hanan Salam

Social media can be an important source of information facilitating the detection of new safety signals in pharmacovigilance. Various approaches have investigated the analysis of s…

cs.HC2021★ 1 cited

Distinguishing Engagement Facets: An Essential Component for AI-based Interactive Healthcare

Hanan Salam

Engagement in Human-Machine Interaction is the process by which entities participating in the interaction establish, maintain, and end their perceived connection. It is essential t…

cs.SD2020★ 61 cited

AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis

Muhammad Muzammel, Hanan Salam, Yann Hoffmann +2

Depression is a common and serious mood disorder that negatively affects the patient's capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in de…

cs.CV2020★ 5 cited

Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition

Ahmed Rachid Hazourli, Amine Djeghri, Hanan Salam +1

In this paper, we propose an approach for Facial Expressions Recognition (FER) based on a deep multi-facial patches aggregation network. Deep features are learned from facial patch…