AutoML: A survey of the state-of-the-art

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

(2019) Yuji Roh et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Recognition from Web Data: A Progressive Filtering Approach

(2018) Jufeng Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Learning without Forgetting

(2017) Zhizhong Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Unsupervised feature extraction with autoencoder trees

(2017) Ozan İrsoy et al.   NEUROCOMPUTING

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Surrogate-based methods for black-box optimization

(2016) Ky Khac Vu et al.   International Transactions in Operational Research

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

An evaluation of adaptive surrogate modeling based optimization with two benchmark problems

(2014) Chen Wang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

(2013) Isaac Triguero et al.   NEUROCOMPUTING

Maximum-Likelihood Estimation With a Contracting-Grid Search Algorithm

(2010) Jacob Y. Hesterman et al.   IEEE TRANSACTIONS ON NUCLEAR SCIENCE

Combining Committee-Based Semi-Supervised Learning and Active Learning

(2010) Mohamed Farouk Abdel Hady et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY