[AISWorld] Most Cited and Read (2022) Articles - Connection Science, Taylor & Francis

[Editorial Manager]

Connection Science, Taylor & Francis
https://www.tandfonline.com/ccos20


** Most Cited Articles **

Developmental robotics: a survey
MAX LUNGARELLA, GIORGIO METTA, ROLF PFEIFER & GIULIO SANDINI

Error Correlation and Error Reduction in Ensemble Classifiers
KAGAN TUMER & JOYDEEP GHOSH

On Combining Artificial Neural Nets
AMANDA J. C SHARKEY

Catastrophic Forgetting, Rehearsal and Pseudorehearsal
ANTHONY ROBINS

Using Relevance to Reduce Network Size Automatically
MICHAEL C. MOZER & PAUL SMOLENSKY

How to do the Right Thing
PATTIE MAES

Dynamic Node Creation in Backpropagation Networks
TIMUR ASH

Actively Searching for an Effective Neural Network Ensemble
DAVID W OPITZ & JUDE W SHAVLIK


** Most Read Articles (2022) **

KG4Py: A toolkit for generating Python knowledge graph and code semantic search
Lu Liang et al.

Security analysis of smart contract based rating and review systems: the perilous state of blockchain-based recommendation practices
Jitendra Singh Yadav et al.

Intelligent garbage classification system based on improve MobileNetV3-Large
Yi Zhao et al.

Blockchain application in P2P energy markets: social and legal aspects
Cruz E. Borges et al.

Blockchain-based anonymous authentication for traffic reporting in VANETs
Li Zhang & Jianbo Xu

A Hybrid parallel deep learning model for efficient intrusion detection based on metric learning
Shaokang Cai, Dezhi Han, Xinming Yin, Dun Li & Chin-Chen Chang

A pricing model for subscriptions in data transactions
Bo Li, Minrui Wu, Zhongcheng Li & Yi Sun

A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy
R. Sudharsan & E. N. Ganesh

A feature selection method with feature ranking using genetic programming
Guopeng Liu, Jianbin Ma, Tongle Hu & Xiaoying Gao

Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition
Likai Wang, Jinyan Chen, Zhenghang Chen, Yuxin Liu & Haolin Yang


Connection Science, Taylor & Francis
Portal:    https://www.tandfonline.com/ccos20
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