… It has impacts from the fields of neuroscience and machine learning science. On the off
chance that you've known about Pavlov's pooch, at that point you may as of now be comfortable …

… , we present a neuro-fuzzy system based ensemble classifier that uses both the theory of
neuro-… In this study, six datasets from the University of California - Irvine (UCI) machine learning …

… learning mechanism, a novel spatio-temporal co-variant hybrid deep learning framework
has … cognitive performance prediction, named as deep sparse recurrent autoencoder-recurrent …

… Neuro-Fuzzy System (VCNFS). The proposed model is based on a neuro-fuzzy framework,
… Complex Fuzzy Sets(CFSs) in terms of a neural network. The premise parts of If-Then rules …

… A robust adaptive self-organizing neuro-fuzzy control scheme for trajectory tracking of …
mode reaching law control framework and a self-organizing neuro-fuzzy network approximator to …

… Hence, fairness in machine learning models is the demand … to enforce fairness in machine
learning tasks while not … Fairness aware machine learning algorithms seek to provide …

… the Keras deep learning framework, using supervised learning (supervised learning) We …
types of time domain using Keras deep learning framework, and verified the effectiveness of …

… learning frameworks (LightGBM, Bagging, and Stacking) were established.[Result]The HP
filter method as the trend yield model was mainly applicable in the regions of Shaanxi, Henan…

… information, for which machine learning and data mining are … as support vector machine
(SVM), artificial neuro network (… -Irvine (UCI) machine learning repository have been used to …

… Neuro Oncol, 2023, 25 (2): 279- 289. … Physician understanding, explainability, and trust in
a hypothetical machine learning risk calculator[J]. J Am Med Inform Assoc, 2020, 27 (4): 592- …