Results 21 to 30 of about 5,977,377 (233)
ChMinMaxPat: Investigations on Violence and Stress Detection Using EEG Signals
Background and Objectives: Electroencephalography (EEG) signals, often termed the letters of the brain, are one of the most cost-effective methods for gathering valuable information about brain activity.
Omer Bektas +6 more
doaj +1 more source
Automated feature engineering for HTTP tunnel detection [PDF]
Generating discriminative input features is a key requirement for achieving highly accurate classifiers. The process of generating features from raw data is known as feature engineering and it can take significant manual effort.
Davis, Jonathan J. +3 more
core +2 more sources
Exploring feature engineering and explainable AI for phishing website detection: a systematic literature review [PDF]
Detecting phishing websites is a rapidly evolving field aimed at identifying and mitigating cyberattacks targeting individuals, organizations, and governments.
Mirza, Abdulrahman +2 more
core +1 more source
CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
Background\Objectives: Solving the secrets of the brain is a significant challenge for researchers. This work aims to contribute to this area by presenting a new explainable feature engineering (XFE) architecture designed to obtain explainable results ...
Ugur Ince +9 more
doaj +1 more source
eXplainable AI (2023) - Sessió 2
Segona sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AISecond session of the seminar given by guest professor Sebastian Lapuschkin, Fraunhofer Institute Berlin, on ...
Lapuschkin, Sebastian
core +2 more sources
An explainable spatial machine learning approach for modeling and predicting spatial patterns of stunting in Central Java, Indonesia [PDF]
This study proposes an explainable spatial machine-learning framework for modelling district/city stunting prevalence in Central Java, Indonesia.
Kiki Amelia +5 more
doaj +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
eXplainable AI (XAI) - Lecture 1-
Primera sessió del seminari impartit pel professor convidat Sebastian Lapuschkin, de l'Institut Fraunhofer de Berlin, sobre Explainable AI6583.mp4 6583 ...
Lapuschkin, Sebastian
core +2 more sources
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source

