[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

T Shaik, X Tao, L Li, H Xie, JD Velásquez - Information Fusion, 2023 - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …

Adversarial attacks and defenses in explainable artificial intelligence: A survey

H Baniecki, P Biecek - Information Fusion, 2024 - Elsevier
Explainable artificial intelligence (XAI) methods are portrayed as a remedy for debugging
and trusting statistical and deep learning models, as well as interpreting their predictions …

[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

N Díaz-Rodríguez, J Del Ser, M Coeckelbergh… - Information …, 2023 - Elsevier
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

Explainable artificial intelligence (xai) for internet of things: a survey

I Kök, FY Okay, Ö Muyanlı… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …

Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction

FM Talaat, A Aljadani, M Badawy… - Neural Computing and …, 2024 - Springer
In recent years, the increasing prevalence of credit card usage has raised concerns about
accurately predicting and managing credit card defaults. While machine learning and deep …

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

I Triguero, D Molina, J Poyatos, J Del Ser, F Herrera - Information Fusion, 2024 - Elsevier
Abstract Most applications of Artificial Intelligence (AI) are designed for a confined and
specific task. However, there are many scenarios that call for a more general AI, capable of …

[HTML][HTML] Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

L Longo, M Brcic, F Cabitza, J Choi, R Confalonieri… - Information …, 2024 - Elsevier
Understanding black box models has become paramount as systems based on opaque
Artificial Intelligence (AI) continue to flourish in diverse real-world applications. In response …

Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Q Liu, Y Ma, L Chen, W Pedrycz, MJ Skibniewski… - Information …, 2024 - Elsevier
Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …

[HTML][HTML] Using artificial intelligence in academic writing and research: An essential productivity tool

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Background Academic writing is an essential component of research, characterized by
structured expression of ideas, data-driven arguments, and logical reasoning. However, it …