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Evaluation of Explainability Methods and Robustness in Image Classification [PDF]
, 2022 Modern deep learning architectures have gotten proficient in the task of classifying an image to a correct class. However, the complexity of image classification architectures has made the decision-making process of such models obscure.
Raatikainen, Lassi
core
How Explainable Is Explainability? Towards Better Metrics for Explainable AI
Despite the fact that machine learning has been applied in innumerable domains, its models have usually operated in a black box fashion, i.e. without revealing the rationale behind their decisions. For human users, insufficient model transparency may result in the lack of trust in the technology, effectively hindering its development and adoption.This ...
Pawlicka, Aleksandra +4 more
openaire +2 more sources
What Explains Consciousness? Or...What Consciousness Explains?
Mens Sana Monographs, 2014 In this invited commentary I focus on the topic addressed in three papers: De Sousa's (2013[1617]) Toward an Integrative Theory of Consciousness, a monograph with Parts 1 & 2, as well as commentaries by Pereira (2013a[59]) and Hirstein (2013[42]). All three are impressively scholarly and can stand-and shout-on their own. But theory of consciousness? My
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Phosphoinositides and inositol phosphates as molecular glues
FEBS Letters, EarlyView.Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry +9 more
wiley +1 more source
Breast Cancer Classification Using an Adapted Bump-Hunting Algorithm
AlgorithmsThe Patient Rule Induction Method is a data mining technique used for identifying patterns in datasets, particularly focusing on discovering regions of the chosen input space where the response variable is unusually high or low.
Rym Nassih, Abdelaziz Berrado
doaj +1 more source
Digital Humanities Quarterly, 2023 How can we know what our computational infrastructures are doing to us? More to the point, how can we have any confidence that their effects on our minds are positive rather than negative? Certainly, it is the case that digital infrastructures combined with spatial and temporal organisation create forms of digitally-enabled structures that serve to ...
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FEBS Letters, EarlyView.Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara +3 more
wiley +1 more source
Frontiers in OncologyIntroductionThe early identification of brain tumors is essential for optimal treatment and patient prognosis. Advancements in MRI technology have markedly enhanced tumor detection yet necessitate accurate classification for appropriate therapeutic ...
Novsheena Rasool +8 more
doaj +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Explainability for Human-Robot Collaboration
In human-robot collaboration, explainability bridges the communication gap between complex machine functionalities and humans. An active area of investigation in robotics and AI is understanding and generating explanations that can enhance collaboration ...
De Graaf, Maartje +6 more
core +1 more source