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RESEARCH PAPER · Architecture Structures and Construction · 2021

Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences

Mohannad Zeyad Naser, Amir H. Alavi

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Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and SciencesOriginalNeural networks for predicting shear strength of CFS channels with slotted webs64Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences111Classifying bridges for the risk of fire hazard via competitive machine learning24Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy1An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil104Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata74StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains83Mapping functions: A physics-guided, data-driven and algorithm-agnostic machine learning approach to discover causal and descriptive expressions of engineering phenomena14Fast Rule-Based Clutter Detection in Automotive Radar Data22Use of machine learning for automatic Rockwell adhesion test classification based on descriptive and quantitative features12Reverse designs of doubly reinforced concrete beams using Gaussian process regression models enhanced by sequence training/designing technique based on feature selection algorithms5Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams20An opinion piece on the dos and don’ts of artificial intelligence in civil engineering and charting a path from data-driven analysis to causal knowledge discovery8Development of a Mobile Application to Buy Books through Visual Recognition1High-efficient low-cost characterization of materials properties using domain-knowledge-guided self-supervised learning0Deriving mapping functions to tie anthropometric measurements to body mass index via interpretable machine learning8Assessment of Modulus Attenuation of Cement and Lime-Fly Ash Semi-Rigid Road Base Materials1A Comparison of Machine Learning Algorithms for Emotional Intelligence Measure2A Comparative Study of LASSO and ANN Regressions for the Prediction of the Direct Tensile Behavior of UHPFRC20Hiding in plain sight: What can interpretable unsupervised machine learning and clustering analysis tell us about the fire behavior of reinforced concrete columns?20Machine learning algorithms for monitoring pavement performance140Experimental and intelligent modelling for predicting the amplitude of footing resting on geocell-reinforced soil bed under vibratory load32A guideline to document occupant behavior models for advanced building controls40Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling65Interpretable ensemble machine-learning models for strength activity index prediction of iron ore tailings22CLEMSON: An Automated Machine-Learning Virtual Assistant for Accelerated, Simulation-Free, Transparent, Reduced-Order, and Inference-Based Reconstruction of Fire Response of Structural Members11Study of Different Types of Evaluation Methods in Classification and Regression1Prediction and uncertainty quantification of ultimate bond strength between UHPC and reinforcing steel bar using a hybrid machine learning approach57Discovering Graphical Heuristics on Fire-Induced Spalling of Concrete Through Explainable Artificial Intelligence15Auto-tuning deep forest for shear stiffness prediction of headed stud connectors14Metrics for Measuring Error Extents of Machine Learning Classifiers4Machine learning for wildfire classification: Exploring blackbox, eXplainable, symbolic, and SMOTE methods23Machine Learning-Based Models for Shear Strength Prediction of UHPFRC Beams22Machine Learning-Based Fragility Assessment of Reinforced Concrete Buildings14Causality in structural engineering: discovering new knowledge by tying induction and deduction via mapping functions and explainable artificial intelligence7Artificial Neural Network–Based Predictive Tool for Modeling of Self-Centering Endplate Connections with SMA Bolts13BSC-Net: Background Suppression Algorithm for Stray Lights in Star Images22Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture106High-efficient low-cost characterization of composite material properties using domain-knowledge-guided self-supervised learning10An Overview of Machine Learning Techniques for Evaluation of Pavement Condition8Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning47GEP-based models for estimating the elastic shear buckling and ultimate loads of cold-formed steel channels with staggered slotted web perforations in shear7In-network placement of delay-constrained computing tasks in a softwarized intelligent edge12Dynamic Modeling of Intrinsic Self-Healing Polymers Using Deep Learning21Design of concrete-filled steel tubular columns using data-driven methods23Reliable Computationally Efficient Behavioral Modeling of Microwave Passives Using Deep Learning Surrogates in Confined Domains34Using GA - BP Coupling Algorithm to Predict the High-performance Concrete Mechanical Property23Determination of Best Criteria for Evaluation of Liquefaction Potential of Soil31Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data6Mapas de melanina e oxiemoglobina para auxiliar redes neurais na classificação de imagens de retina0Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models31Reliability-based design shear resistance of headed studs in solid slabs predicted by machine learning models13Machine learning applications to predict the axial compression capacity of concrete filled steel tubular columns: a systematic review15Mechanical properties of hybrid fiber reinforced ternary-blended alkali-activated materials9Spatial Decision Support Systems with Automated Machine Learning: A Review37A Robust Tuned Random Forest Classifier Using Randomized Grid Search to Predict Coronary Artery Diseases5Adaptive Prüfplanung/Adaptive inspection planning – Consideration of uncertainties in machining1Design of doubly reinforced concrete beams based on artificial neural network (deep learning) and regression models (machine learning)0Evaluating Machine Learning Models for Sub-Field Maize Yield Predictions in Precision Agriculture0Fire Resistance Analysis Through Synthetic Fire Tests0Force Sensitive Resistors-Based Real-Time Posture Detection System Using Machine Learning Algorithms6PROBABILISTIC SHORT TERM SOLAR DRIVER FORECASTING WITH NEURAL NETWORK ENSEMBLES0Structural Damage Identification System Suitable for Old Arch Bridge in Rural Regions: Random Forest Approach12Structural mechanism-based 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for Depression Detection2Simple Visual Aids for Predicting Fire Response of RC Columns: Nomograms via Machine Learning0Predicting automobile insurance fraud using classical and machine learning models14Intellectualization of the Pavement Defect Recognition Process0Methodology for Selecting Neural Network Architecture for Recognizing Pavement Defects1Complex-Phase Steel Microstructure Segmentation Using UNet: Analysis across Different Magnifications and Steel Types13Study on the relationship of design parameters and damage modes for RC slabs subjected to large-scale hard missile impacts base on task-driven approach10Evaluating Familiarity Ratings of Domain Concepts with Interpretable Machine Learning: A Comparative Study5Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases14Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible 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Machine Learning Method in Modern Sports3Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series4Designing AI-Based Non-invasive Method for Automatic Detection of Bovine Mastitis3Enhanced Potato Pest Identification: A Deep Learning Approach for Identifying Potato Pests24Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique1Interpretability in Materials AI — What “Explanation” Means and How It Should Be Evaluated Conceptually0LogiTriBlend: A Novel Hybrid Stacking Approach for Enhanced Phishing Email Detection Using ML Models and Vectorization Approach10Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concrete Elements: A Comprehensive Review13Novel Perceptual Mach Band-Based Deep Attention Network for Cyclone Intensity Estimation5Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts5VerifAI: Framework for Functional Verification of AI based Systems in the Maritime Domain0Federated learning for 5G and beyond, a blessing and a curse- an experimental study on intrusion detection systems24Railway obstacle intrusion warning mechanism integrating YOLO-based detection and risk assessment51Complexidade versus dificuldade: Uma análise da sua correlação em questões de programação em juízes on-line0Automatic Detection of Personal Protective Equipment in Construction Sites Using Metaheuristic Optimized YOLOv524Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning19CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection36

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  40. An Overview of Machine Learning Techniques for Evaluation of Pavement Condition

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  41. Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning

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  42. GEP-based models for estimating the elastic shear buckling and ultimate loads of cold-formed steel channels with staggered slotted web perforations in shear

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  44. Dynamic Modeling of Intrinsic Self-Healing Polymers Using Deep Learning

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  45. Design of concrete-filled steel tubular columns using data-driven methods

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  47. Using GA - BP Coupling Algorithm to Predict the High-performance Concrete Mechanical Property

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  50. Mapas de melanina e oxiemoglobina para auxiliar redes neurais na classificação de imagens de retina

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