A survey on data-driven network intrusion detection
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …
classes compared to normal traffic. Many datasets are collected in simulated environments …
Explainable intrusion detection systems (x-ids): A survey of current methods, challenges, and opportunities
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity
challenges has gained traction in industry and academia, partially as a result of widespread …
challenges has gained traction in industry and academia, partially as a result of widespread …
From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where
Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern
technologies and innovations. Artificial intelligence (AI) can be considered the leading …
technologies and innovations. Artificial intelligence (AI) can be considered the leading …
A survey on llm-gernerated text detection: Necessity, methods, and future directions
The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
[HTML][HTML] Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Abstract Machine Learning concept learns from experiences, inferences and conceives
complex queries. Machine learning techniques can be used to develop the educational …
complex queries. Machine learning techniques can be used to develop the educational …
[HTML][HTML] Artificial intelligence applications in Latin American higher education: a systematic review
SZ Salas-Pilco, Y Yang - … Journal of Educational Technology in Higher …, 2022 - Springer
Over the last decade, there has been great research interest in the application of artificial
intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has …
intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has …
[HTML][HTML] Explainable artificial intelligence in Alzheimer's disease classification: A systematic review
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
On locality of local explanation models
S Ghalebikesabi, L Ter-Minassian… - Advances in neural …, 2021 - proceedings.neurips.cc
Shapley values provide model agnostic feature attributions for model outcome at a particular
instance by simulating feature absence under a global population distribution. The use of a …
instance by simulating feature absence under a global population distribution. The use of a …
FCE: Feedback based counterfactual explanations for explainable AI
Artificial Intelligence can provide quite accurate predictions for critical applications (eg,
healthcare), but lacks the ability to explain its internal mechanism in most applications which …
healthcare), but lacks the ability to explain its internal mechanism in most applications which …
Would you trust an AI team member? Team trust in human–AI teams
E Georganta, AS Ulfert - Journal of Occupational and …, 2024 - Wiley Online Library
Given that AI is becoming an increasingly active participant in work teams, this study
explores how team trust emerges in human–AI teams compared to human–human teams …
explores how team trust emerges in human–AI teams compared to human–human teams …