A transfer learning approach to interdisciplinary document classification with keyword-based explanation

Evaluating human versus machine learning performance in classifying research abstracts

(2020) Yeow Chong Goh et al.   SCIENTOMETRICS

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Artificial intelligence is selecting grant reviewers in China

(2019) David Cyranoski   NATURE

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

"What is relevant in a text document?": An interpretable machine learning approach

(2017) Leila Arras et al.   PLoS One

HCP: A Flexible CNN Framework for Multi-Label Image Classification

(2016) Yunchao Wei et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Clustering scientific documents with topic modeling

(2014) Chyi-Kwei Yau et al.   SCIENTOMETRICS

A social network-empowered research analytics framework for project selection

(2013) Thushari Silva et al.   DECISION SUPPORT SYSTEMS

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING