Deep learning tools for advancing drug discovery and development

S Nag, ATK Baidya, A Mandal, AT Mathew, B Das… - 3 Biotech, 2022 - Springer
A few decades ago, drug discovery and development were limited to a bunch of medicinal
chemists working in a lab with enormous amount of testing, validations, and synthetic …

Emotion classification from speech and text in videos using a multimodal approach

MC Caschera, P Grifoni, F Ferri - Multimodal Technologies and …, 2022 - mdpi.com
Emotion classification is a research area in which there has been very intensive literature
production concerning natural language processing, multimedia data, semantic knowledge …

Exploring community detection methods and their diverse applications in complex networks: a comprehensive review

FR Khawaja, Z Zhang, Y Memon, A Ullah - Social Network Analysis and …, 2024 - Springer
Network science has made tremendous advances, allowing the modeling of complex real-
world systems. Although networks include sophisticated community structures by definition …

[HTML][HTML] Identifying chronological and coherent information threads using 5W1H questions and temporal relationships

H Narvala, G McDonald, I Ounis - Information Processing & Management, 2023 - Elsevier
Due to the massive volume of articles produced online every day, it is challenging for online
platforms (eg, news agencies) to present the information about an event, activity or …

Hierarchical Clustering Approach for Region Analysis of Contraceptive Users

DT Utari, DS Hanun - EKSAKTA: Journal of Sciences and Data …, 2021 - journal.uii.ac.id
Through increasing the use of contraceptives to limit births, the Family Planning (KB)
Program is one of the government's efforts to control the rate of population growth. Klaten …

Facing the Constraints to the Deep Energy Renovation Process of Residential Built Stock in European Markets

P Lassandro, A Devitofrancesco, A Bellazzi, A Cascardi… - Sustainability, 2023 - mdpi.com
In many countries, depending on climatic conditions and the energy performance of
buildings, the built stock is highly energy-consuming and constitutes a main source of …

Exploration of Scientific Documents through Unsupervised Learning-Based Segmentation Techniques

M Cherradi - Seminars in Medical Writing and Education, 2024 - mw.saludcyt.ar
Navigating the extensive landscape of scientific literature presents a significant challenge,
prompting the development of innovative methodologies for efficient exploration. Our study …

Detecting and Identifying Insider Threats Based on Advanced Clustering Methods

O Nikiforova, A Romanovs, V Zabiniako… - IEEE …, 2024 - ieeexplore.ieee.org
This paper explores the analysis of user behavior in information systems through audit
records, creating a behavior model represented as a graph. The model captures actions …

Analysis of the Behavior of Company Employees as Users of Information Systems or Tools, Based on Employees Clustering with K-means Algorithm

P Garkalns, O Nikiforova, V Zabiniako… - 2023 IEEE 64th …, 2023 - ieeexplore.ieee.org
While analyzing individual user's behavior in information systems or tools used for
performing daily duties, identifying inefficient behavior scenarios can be challenging. To …

What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

J Kuang, J Xie, Z Yan - arXiv preprint arXiv:2305.13127, 2023 - arxiv.org
Depression is the most prevalent and serious mental illness, which induces grave financial
and societal ramifications. Depression detection is key for early intervention to mitigate those …