[HTML][HTML] Explainable AI for operational research: A defining framework, methods, applications, and a research agenda

KW De Bock, K Coussement, A De Caigny… - European Journal of …, 2024 - Elsevier
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion

Z Wang, Q Wang, Z Liu, T Wu - Journal of Hydrology, 2024 - Elsevier
Water bodies experiencing excessively low dissolved oxygen (DO) concentrations cannot
sustain aquatic life and disrupt ecosystem balance, whereas overly high concentrations …

[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges

N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …

A cognitive analysis-based key concepts derivation approach for product design

M Li, S Lou, H Zheng, Y Feng, Y Gao, S Zeng… - Expert Systems with …, 2024 - Elsevier
In the development of a new product, concept generation is a crucial stage, as it determines
much of the cost of the product lifetime. The process of generating concepts that meet …

Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model

Z Che, C Peng, TW Liao, J Wang - Expert Systems with Applications, 2024 - Elsevier
Milling tool wear, a ubiquitous challenge in industrial automation and manufacturing, leads
to diminished equipment utilization, escalating costs, and a decline in product quality. The …

Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making

C Vairetti, I Aránguiz, S Maldonado, JP Karmy… - European Journal of …, 2024 - Elsevier
Complaint analysis is an essential business analytics application because complaints have
a strong influence on customer satisfaction (CSAT). However, the process of categorising …

A method for exploring consumer satisfaction factors using online reviews: A study on anti-cold drugs

X Zhao, Z Huang - Journal of Retailing and Consumer Services, 2024 - Elsevier
Anti-cold drugs prove effective in alleviating cold symptoms and minimizing complications. In
recent years, there has been a growing tendency among the public to purchase these drugs …

Evaluating text classification: A benchmark study

M Reusens, A Stevens, J Tonglet, J De Smedt… - Expert Systems with …, 2024 - Elsevier
This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …

[HTML][HTML] Predictive model for customer satisfaction analytics in e-commerce sector using machine learning and deep learning

HS Le, TVH Do, MH Nguyen, HA Tran… - International Journal of …, 2024 - Elsevier
In Vietnam's rapidly expanding e-commerce landscape, there is a critical need for advanced
tools that can effectively analyze customer feedback to boost satisfaction and loyalty. This …

Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data

AP Darko, CO Antwi, K Adjei, B Zhang, J Ren - Expert Systems with …, 2024 - Elsevier
In the contemporary digital landscape, the rising concern for mental health has sparked a
surge in the use of mental health apps (MHAs) as accessible tools for addressing …