Skip to main content

Artificial Intelligence Review

Ausgabe 1/2019

Inhalt (27 Artikel)

A review on deep learning for recommender systems: challenges and remedies

Zeynep Batmaz, Ali Yurekli, Alper Bilge, Cihan Kaleli

A comprehensive review of recent advances on deep vision systems

Qaisar Abbas, Mostafa E. A. Ibrahim, M. Arfan Jaffar

Open Access

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet Tran, Álvaro López García, Ignacio Heredia, Peter Malík, Ladislav Hluchý

Deep ensemble network based on multi-path fusion

Enhui Lv, Xuesong Wang, Yuhu Cheng, Qiang Yu

Bayesian network hybrid learning using an elite-guided genetic algorithm

Carlo Contaldi, Fatemeh Vafaee, Peter C. Nelson

A performance comparison of machine learning classification approaches for robust activity of daily living recognition

Rida Ghafoor Hussain, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Usman Naeem, Shafiq Ur Rehman

Using machine learning to predict student difficulties from learning session data

Mushtaq Hussain, Wenhao Zhu, Wu Zhang, Syed Muhammad Raza Abidi, Sadaqat Ali

Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning

Wei Zeng, Limin Ma, Chengzhi Yuan, Fenglin Liu, Qinghui Wang, Ying Wang, Yu Zhang

A comparative study of neural-network feature weighting

Tongfeng Sun, Shifei Ding, Pin Li, Wei Chen

Exploration of a mechanism to form bionic, self-growing and self-organizing neural network

Xu Yang, Guo Liu, Songgaojun Deng, Zichao Wei, Hu He, Yingjie Shang, Ning Deng

Orthogonal based ANN and multiGA for optimization on WEDM of Ti–48Al intermetallic alloys

Yusliza Yusoff, Azlan Mohd Zain, Astuty Amrin, Safian Sharif, Habibollah Haron, Roselina Sallehuddin

Premium Partner