4.7 Article

Attentive Hierarchical ANFIS with interpretability for cancer diagnostic

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Unbalanced breast cancer data classification using novel fitness functions in genetic programming

Divyaansh Devarriya et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

Wind speed parameters sensitivity analysis based on fractals and neuro-fuzzy selection technique

Vlastimir Nikolic et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification

Yue Deng et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Editorial Material Medicine, General & Internal

Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations

Jonathan H. Chen et al.

NEW ENGLAND JOURNAL OF MEDICINE (2017)

Article Computer Science, Artificial Intelligence

Explaining nonlinear classification decisions with deep Taylor decomposition

Gregoire Montavon et al.

PATTERN RECOGNITION (2017)

Article Engineering, Electrical & Electronic

Wind farm efficiency by adaptive neuro-fuzzy strategy

Dalibor Petkovic et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)

Review Biochemistry & Molecular Biology

Machine learning applications in cancer prognosis and prediction

Konstantina Kourou et al.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2015)

Article Computer Science, Artificial Intelligence

Designing fuzzy inference systems from data: An interpretability-oriented review

S Guillaume

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2001)