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(2021) Kjersti Aas et al.   ARTIFICIAL INTELLIGENCE

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(2021) Morteza Soleimani et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

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(2020) Marcia L. Baptista et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

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(2019) Cuili Yang et al.   NEURAL NETWORKS

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(2019) David Gunning et al.   AI MAGAZINE

Machine Learning Interpretability: A Survey on Methods and Metrics

(2019) Diogo V. Carvalho et al.   Electronics

A correlation coefficient based vibration indicator for detecting natural pitting progression in spur gears

(2019) Pradeep Kundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Image denoising review: From classical to state-of-the-art approaches

(2019) Bhawna Goyal et al.   Information Fusion

Selective health indicator for bearings ensemble remaining useful life prediction with genetic algorithm and Weibull proportional hazards model

(2019) Guangqi Qiu et al.   MEASUREMENT

Railway turnout system RUL prediction based on feature fusion and genetic programming

(2019) Cong Chen et al.   MEASUREMENT

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation

(2019) Jean-Marc Fellous et al.   Frontiers in Neuroscience

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

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(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics

(2018) P. Baraldi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Ensemble of optimized echo state networks for remaining useful life prediction

(2018) Marco Rigamonti et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Bayesian hierarchical model-based prognostics for lithium-ion batteries

(2018) Madhav Mishra et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Survey on Deep Learning

(2018) Samira Pouyanfar et al.   ACM COMPUTING SURVEYS

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(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE

(2018) Wei He et al.   Entropy

RuleMatrix: Visualizing and Understanding Classifiers with Rules

(2018)   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Denoising Adversarial Autoencoders

(2018) Antonia Creswell et al.   IEEE Transactions on Neural Networks and Learning Systems

Wear indicator construction of rolling bearings based on multi-channel deep convolutional neural network with exponentially decaying learning rate

(2018) Daoming She et al.   MEASUREMENT

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

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(2017) Samuel H. Rudy et al.   Science Advances

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(2016) Seyed A. Niknam et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions

(2016) Masoud Naseri et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

(2015) Kamran Javed et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Survey on Neuro-Fuzzy systems and their applications in technical diagnostics and measurement

(2015) Zs.J. Viharos et al.   MEASUREMENT

Health monitoring of cooling fan bearings based on wavelet filter

(2015) Wei He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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(2015) Yann LeCun et al.   NATURE

Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions

(2015) R. Rocchetta et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines

(2015) Fernando Lasheras et al.   SENSORS

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

(2015) Sebastian Bach et al.   PLoS One

Predicting time series of railway speed restrictions with time-dependent machine learning techniques

(2013) Olga Fink et al.   EXPERT SYSTEMS WITH APPLICATIONS

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(2013) Ahmed Mosallam et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A data-driven approach for predicting failure scenarios in nuclear systems

(2010) Enrico Zio et al.   ANNALS OF NUCLEAR ENERGY

A Reliability Model for Distribution Systems Incorporating Seasonal Variations in Severe Weather

(2010) Karin Alvehag et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system

(2009) Enrico Zio et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY