Results 41 to 50 of about 1,214,867 (285)

Enhancing Phishing Attack Detection Using Explainable AI: Trends and Innovations

ASEAN Journal on Science and Technology for Development
In the context of escalating cyber threats, phishing attacks continue to pose significant challenges to cybersecurity measures, exploiting human vulnerabilities to gain unauthorized access to sensitive information.
Bhagyashree D. Shendkar, Pankaj R. Chandre, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh   +4 more
doaj   +1 more source

Explainability of Automated Fact Verification Systems: A Comprehensive Review

Applied Sciences, 2023
The rapid growth in Artificial Intelligence (AI) has led to considerable progress in Automated Fact Verification (AFV). This process involves collecting evidence for a statement, assessing its relevance, and predicting its accuracy.
Manju Vallayil, Parma Nand, Wei Qi Yan, Héctor Allende-Cid   +3 more
doaj   +1 more source

Data Quality and Explainable AI

Journal of Data and Information Quality, 2020
In this work, we provide some insights and develop some ideas, with few technical details, about the role of explanations in Data Quality in the context of data-based machine learning models (ML). In this direction, there are, as expected, roles for causality, and explainable artificial intelligence .
Leopoldo E. Bertossi, Floris Geerts
openaire   +3 more sources

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Explainable AI improves task performance in human–AI collaboration

Scientific Reports
Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human–AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes predictions remains ...
Julian Senoner, Simon Schallmoser, Bernhard Kratzwald, Stefan Feuerriegel, Torbjørn Netland   +4 more
doaj   +1 more source

Stakeholders in Explainable AI

CoRR, 2018
There is general consensus that it is important for artificial intelligence (AI) and machine learning systems to be explainable and/or interpretable. However, there is no general consensus over what is meant by 'explainable' and 'interpretable'. In this paper, we argue that this lack of consensus is due to there being several distinct stakeholder ...
Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty   +4 more
openaire   +2 more sources

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Explainable AI for Software Engineering

, 2021
We are very proud to release the first version of this Explainable AI for Software Engineering book. This book consists of three parts: Part 1-Explainable AI: We first provide a concise yet essential introduction to the most important aspects of ...
Jirayus Jiarpakdee, Chakkrit (Kla) Tantithamthavorn   +1 more
core   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source