An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

Opportunities and Challenges for Machine Learning in Materials Science

(2020) Dane Morgan et al.   Annual Review of Materials Research

Machine learning study of the mechanical properties of concretes containing waste foundry sand

(2020) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming

(2020) Ali Behnood et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams

(2020) Roya Solhmirzaei et al.   ENGINEERING STRUCTURES

Observational Analysis of Fire-Induced Spalling of Concrete through Ensemble Machine Learning and Surrogate Modeling

(2020) M. Z. Naser   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Neural networks for predicting shear strength of CFS channels with slotted webs

(2020) Vitaliy V. Degtyarev   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Prediction of the crack condition of highway pavements using machine learning models

(2019) Sylvester Inkoom et al.   Structure and Infrastructure Engineering

Optimum design of three-dimensional steel frames with prismatic and non-prismatic elements

(2019) A. Kaveh et al.   ENGINEERING WITH COMPUTERS

Machine-learned multi-system surrogate models for materials prediction

(2019) Chandramouli Nyshadham et al.   npj Computational Materials

Concrete under fire: an assessment through intelligent pattern recognition

(2019) M. Z. Naser et al.   ENGINEERING WITH COMPUTERS

Load-carrying capacity and mode failure simulation of beam-column joint connection: Application of self-tuning machine learning model

(2019) Afrah Abdulelah Hamzah Alwanas et al.   ENGINEERING STRUCTURES

Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures

(2019) Maciej Laszczyk et al.   Swarm and Evolutionary Computation

Automated defect detection and classification in ashlar masonry walls using machine learning

(2019) Enrique Valero et al.   AUTOMATION IN CONSTRUCTION

Heuristic machine cognition to predict fire-induced spalling and fire resistance of concrete structures

(2019) M.Z. Naser   AUTOMATION IN CONSTRUCTION

High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

(2019) Meng Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Techniques for interpretable machine learning

(2019) Mengnan Du et al.   COMMUNICATIONS OF THE ACM

Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

(2019) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

Properties and material models for construction materials post exposure to elevated temperatures

(2019) M.Z. Naser et al.   MECHANICS OF MATERIALS

XAI—Explainable artificial intelligence

(2019) David Gunning et al.   Science Robotics

Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls

(2019) Ahmad Siam et al.   Structures

Behavior of RC beams flexurally strengthened with NSM CFRP laminates

(2018) S.J.E. Dias et al.   COMPOSITE STRUCTURES

Strengthening of RC beams using bottom and side NSM reinforcement

(2018) Cristian Sabau et al.   COMPOSITES PART B-ENGINEERING

Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes

(2018) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

What are the prospects for robots in the construction industry?

(2018) Robert Bogue   Industrial Robot-The International Journal of Robotics Research and Application

Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning

(2018) Hyunjun Kim et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Explanation in artificial intelligence: Insights from the social sciences

(2018) Tim Miller   ARTIFICIAL INTELLIGENCE

Machine Learning for Sustainable Structures: A Call for Data

(2018) B. D'Amico et al.   Structures

Fatigue Reliability Assessment of Welded Steel Bridge Decks under Stochastic Truck Loads via Machine Learning

(2017) Naiwei Lu et al.   Journal of Bridge Engineering

A novel machine learning-based algorithm to detect damage in high-rise building structures

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Machine learning-based imaging system for surface defect inspection

(2016) Je-Kang Park et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Do We Need More Training Data?

(2015) Xiangxin Zhu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

(2015) Alex Goldstein et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Flexural response of reinforced concrete (RC) beams strengthened with near surface mounted (NSM) fibre reinforced polymer (FRP) bars

(2013) I.A. Sharaky et al.   COMPOSITE STRUCTURES

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Finite element simulation of reinforced concrete beams externally strengthened with short-length CFRP plates

(2012) Rami A. Hawileh et al.   COMPOSITES PART B-ENGINEERING

Feature extraction based on contourlet transform and its application to surface inspection of metals

(2012) Yonghao Ai et al.   OPTICAL ENGINEERING

Effects of Ratio of CFRP Plate Length to Shear Span and End Anchorage on Flexural Behavior of SCC RC Beams

(2011) Adil K. Al-Tamimi et al.   JOURNAL OF COMPOSITES FOR CONSTRUCTION

Permutation importance: a corrected feature importance measure

(2010) André Altmann et al.   BIOINFORMATICS

RC beams strengthened with NSM CFRP rods and modeling of peeling-off failure

(2010) Firas Al-Mahmoud et al.   COMPOSITE STRUCTURES

Experimental performances of RC beams strengthened with FRP materials

(2010) F. Ceroni   CONSTRUCTION AND BUILDING MATERIALS

Multi expression programming: a new approach to formulation of soil classification

(2009) Amir Hossein Alavi et al.   ENGINEERING WITH COMPUTERS