A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications

Interactive Clustering

(2020) Juhee Bae et al.   ACM COMPUTING SURVEYS

Monitoring stance towards vaccination in twitter messages

(2020) Florian Kunneman et al.   BMC Medical Informatics and Decision Making

The role of human in the loop: lessons from D3R challenge 4

(2020) Oleg V. Stroganov et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

(2020) Juan Pablo Usuga Cadavid et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis

(2020) Marco Roccetti et al.   MOBILE NETWORKS & APPLICATIONS

Human-in-the-loop active learning via brain computer interface

(2020) Eitan Netzer et al.   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Don’t throw the baby out with the bathwater: reappreciating the dynamic relationship between humans, machines, and landscape images

(2020) Raechel A. Portelli   LANDSCAPE ECOLOGY

On the Interpretability of Machine Learning Models and Experimental Feature Selection in Case of Multicollinear Data

(2020) Franc Drobnič et al.   Electronics

Active deep learning to detect demographic traits in free-form clinical notes

(2020) Amir Feder et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Active Learning for Wireless IoT Intrusion Detection

(2019) Kai Yang et al.   IEEE WIRELESS COMMUNICATIONS

Crowd-Assisted Machine Learning: Current Issues and Future Directions

(2019) Jiangtao Wang et al.   COMPUTER

Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning

(2019) Fredrik Wrede et al.   BIOINFORMATICS

A review of feature selection methods in medical applications

(2019) Beatriz Remeseiro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Effective Bayesian-network-based missing value imputation enhanced by crowdsourcing

(2019) Chen Ye et al.   KNOWLEDGE-BASED SYSTEMS

Algorithmic Decision-Making and the Control Problem

(2019) John Zerilli et al.   MINDS AND MACHINES

On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification

(2019) Qinghua Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

I-TWEC: Interactive clustering tool for Twitter

(2018) İnanç Arın et al.   EXPERT SYSTEMS WITH APPLICATIONS

ezTag: tagging biomedical concepts via interactive learning

(2018) Dongseop Kwon et al.   NUCLEIC ACIDS RESEARCH

Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning

(2018) Naihui Zhou et al.   PLoS Computational Biology

Specifics of medical data mining for diagnosis aid: A survey

(2018) Sarah Itani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Integrating Data and Model Space in Ensemble Learning by Visual Analytics

(2018) Bruno Schneider et al.   IEEE Transactions on Big Data

Power to the People: The Role of Humans in Interactive Machine Learning

(2017) Saleema Amershi et al.   AI MAGAZINE

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

(2016) Anthony Costa Constantinou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition

(2016) Jia Deng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems

(2016) Chien-Ju Ho et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance

(2015) W. Bradley Knox et al.   ARTIFICIAL INTELLIGENCE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Interactive textual feature selection for consensus clustering

(2015) Geraldo N. Corrêa et al.   PATTERN RECOGNITION LETTERS

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems

(2014) Alex Groce et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Predictive data mining in clinical medicine: a focus on selected methods and applications

(2011) Riccardo Bellazzi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery