Search

Results for "depression"

NLP meets Psychotherapy: from Estimating Depression Severity to Estimating the Client’s Well-Being

MBZUAI · Invalid Date

A talk will present two projects related to the use of NLP for estimating a client’s depression severity and well-being. The first project examines emotional coherence between the subjective experience of emotions and emotion expression in therapy using transformer-based emotion recognition models. The second project proposes a semantic pipeline to study depression severity in individuals based on their social media posts by exploring different aggregation methods to answer one of four Beck Depression Inventory (BDI) options per symptom. Why it matters: This research explores how NLP techniques can be applied to mental health assessment, potentially offering new tools for diagnosis and treatment monitoring.

Integrating Micro-Emotion Recognition with Mental Health Estimation for Improved Well-being

MBZUAI · Invalid Date

This research introduces a novel method using the Lateral Accretive Hybrid Network (LEARNet) to capture and analyze micro-expressions for mental health applications. The method refines both broad and subtle facial cues to detect mental health conditions like anxiety or depression. The authors also propose a neural architecture search (NAS) strategy to design a compact CNN for micro-expression recognition, improving performance and resource use. Why it matters: By integrating micro-emotion recognition with mental health estimation, the approach enables more accurate and early detection of emotional and mental health issues, potentially leading to improved well-being.

Saving ghost cities

KAUST · May 15

In a 2018 KAUST lecture, MIT professor Kamal Youcef-Toumi discussed the case of Ordos Kangbashi, a Chinese city designed for a million residents that became a near-ghost town. Despite government incentives, the city struggled due to an economic downturn and lack of social and economic balance. Youcef-Toumi emphasized the importance of the public realm and a balance between social and economic development for successful cities. Why it matters: The analysis provides insights relevant to urban planning in Saudi Arabia and the broader GCC region, where new cities and megaprojects are being developed.

Bredas honored at 251st American Chemical Society National Meeting

KAUST · Mar 16

This article mentions KAUST in the context of the 251st American Chemical Society National Meeting. However, it contains no specific details about AI or related research activities. The content is primarily a copyright notice for King Abdullah University of Science and Technology. Why it matters: This mention provides minimal information about KAUST's involvement in the event and lacks substantial AI-related content.