Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

Cited by (7,175)

Items 101–200 of 7,175

1. Spatial Predictions and Associated Uncertainty of Annual Soil Respiration at the Global Scale
   Daniel L. Warner, Ben Bond‐Lamberty, Jinshi Jian, Emma Stell, Rodrigo Vargas · 2019 · Global Biogeochemical Cycles
2. Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
   Ramendra Prasad, Ravinesh Chand Deo, Yan Li, Tek Maraseni · 2019 · CATENA
3. A Comprehensive Survey of Regression-Based Loss Functions for Time Series Forecasting
   Aryan Jadon, Avinash Patil, Shruti Jadon · 2024 · Lecture notes in networks and systems
4. Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
   Halit Apaydın, Mohammad Taghi Sattari, Kambiz Falsafian, Ramendra Prasad · 2021 · Journal of Hydrology
5. Measuring and Modeling Stable Isotopes of Mobile and Bulk Soil Water
   Matthias Sprenger, Doerthe Tetzlaff, Jim M. Buttle · 2018 · Vadose Zone Journal
6. Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches
   Navid Kardani, Annan Zhou, Majidreza Nazem, Shui‐Long Shen · 2019 · Geotechnical and Geological Engineering
7. Streamflow Prediction Using Deep Learning Neural Network: Case Study of Yangtze River
   Darong Liu, Wenchao Jiang, Lin Mu, Si Wang · 2020 · IEEE Access
8. Improving daily streamflow simulations for data-scarce watersheds using the coupled SWAT-LSTM approach
   Shengyue Chen, Jinliang Huang, Jr-Chuan Huang · 2023 · Journal of Hydrology
9. How important is to detect systematic error in predictions and understand statistical applicability domain of QSAR models?
   Kunal Roy, Pravin Sundarao Ambure, Rahul Balasaheb Aher · 2017 · Chemometrics and Intelligent Laboratory Systems
10. A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
    Hoang Nguyen, Xuan-Nam Bui, Bui Hoang Bac · 2018 · Neural Computing and Applications
11. Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change
    Qigen Lin, Stefan Steger, Massimiliano Pittore, Jiahui Zhang, Leibin Wang, Tong Jiang, Ying Wang · 2022 · The Science of The Total Environment
12. Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data
    Taifeng Dong, Jiangui Liu, Budong Qian et al. · 2020 · ISPRS Journal of Photogrammetry and Remote Sensing
13. Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
    Xiaohu Wen, Qi Feng, Ravinesh Chand Deo, Min Wu, Zhenliang Yin, Linshan Yang, Vijay P. Singh · 2019 · Journal of Hydrology
14. Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
    Maha A. Thafar, Arwa Bin Raies, Somayah Albaradei, Magbubah Essack, Vladimir B. Bajić · 2019 · Frontiers in Chemistry
15. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes
    Ana Paula Dalla Côrte, Deivison Venicio Souza, Franciel Eduardo Rex, Carlos Roberto Sanquetta, Midhun Mohan, Carlos Alberto Silva, Angélica M. Almeyda Zambrano, Gabriel Atticciati Prata, Danilo Roberti Alves de Almeida, Jonathan William Trautenmüller et al. · 2020 · Computers and Electronics in Agriculture
16. Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
    A. A. Masrur Ahmed, Ravinesh Chand Deo, Qi Feng, Afshin Ghahramani, Nawin Raj, Zhenliang Yin, Linshan Yang · 2021 · Journal of Hydrology
17. Wind speed and wind direction forecasting using echo state network with nonlinear functions
    Mohammad Amin Chitsazan, M. Sami Fadali, A.M. Trzynadlowski · 2018 · Renewable Energy
18. Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment
    Mudassir Iqbal, Daxu Zhang, Fazal E. Jalal · 2021 · Ocean Engineering
19. A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
    Erick Axel Martinez-Ríos, Luis Montesinos, Mariel Alfaro-Ponce, Leandro Pecchia · 2021 · Biomedical Signal Processing and Control
20. Dynamic detection of water surface area of Ebinur Lake using multi-source satellite data (Landsat and Sentinel-1A) and its responses to changing environment
    Jingzhe Wang, Jianli Ding, Guannan Li · 2019 · CATENA
21. Measuring sustainability through ecological sustainability and human sustainability: A machine learning approach
    Mehrbakhsh Nilashi, Parveen Fatemeh Rupani, Mohammad Mobin Rupani, Hesam Kamyab, Weilan Shao, Hossein Ahmadi, Tarik Ahmed Rashid, Nahla Aljojo · 2019 · Journal of Cleaner Production
22. Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System
    Nan Yang, Cong Yang, Lei Wu, Xun Shen, Junjie Jia, Zhengmao Li, Daojun Chen, Binxin Zhu, Songkai Liu · 2021 · IEEE Transactions on Industrial Informatics
23. Camera system considerations for geomorphic applications of SfM photogrammetry
    Adam R. Mosbrucker, Jon J. Major, Kurt R. Spicer · 2016 · Earth Surface Processes and Landforms
24. Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
    Rashid Jahangir, Ying Wah Teh, Henry Friday Nweke, Ghulam Mujtaba, Mohammed Ali Al-Garadi, Ihsan Ali · 2021 · Expert Systems with Applications
25. The Impact of Feature Selection on Defect Prediction Performance: An Empirical Comparison
    Xu Zhou, Jin Liu, Zijiang Yang · 2016 · IEEE International Symposium on Software Reliability Engineering (ISSRE)
26. Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
    Mohammad Ali Ghorbani, Ravinesh Chand Deo, Vahid Karimi · 2017 · Stochastic Environmental Research and Risk Assessment
27. Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
    Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Narges Kariminejad, Adrian L. Collins · 2020 · Geoscience Frontiers
28. Employing long short-term memory and Facebook prophet model in air temperature forecasting
    Toni Toharudin, Resa Septiani Pontoh, Rezzy Eko Caraka, Solichatus Zahroh, Youngjo Lee, Rung-Ching Chen · 2021 · Communications in Statistics - Simulation and Computation
29. Predicting Missing Values in Spatio-Temporal Remote Sensing Data
    Florian Gerber, Rogier de Jong, Michael E. Schaepman · 2018 · IEEE Transactions on Geoscience and Remote Sensing
30. An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
    Shuang Zhu, Xiangang Luo, Xiaohui Yuan · 2020 · Stochastic Environmental Research and Risk Assessment
31. Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia
    Suraj Kumar Bhagat, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 2020 · Journal of Hazardous Materials
32. Using machine learning as a surrogate model for agent-based simulations
    Claudio Angione, Eric Silverman, Elisabeth Yaneske · 2022 · PLoS ONE
33. CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method
    Khan Muhammad, Jamil Ahmad, Naeem Ur Rehman · 2016 · Multimedia Tools and Applications
34. Is it possible to improve the quality of predictions from an “intelligent” use of multiple QSAR/QSPR/QSTR models?
    Kunal Roy, Pravin Sundarao Ambure, Supratik Kar, Probir Kumar Ojha · 2018 · Journal of Chemometrics
35. Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
    Zheng Chen, Mengmeng Sun, Xing Shu, Renxin Xiao, Jiangwei Shen · 2018 · Applied Sciences
36. Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran
    Mohammad Ali Ghorbani, Reza Kazempour, Kwok‐wing Chau · 2018 · Engineering Applications of Computational Fluid Mechanics
37. Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making
    Minwoo Lee, Wooseok Kwon, Ki‐Joon Back · 2021 · International Journal of Contemporary Hospitality Management
38. Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
    Ravinesh Chand Deo, Mohammad Ali Ghorbani, Saeed Samadianfard · 2017 · Renewable Energy
39. Quantifying and evaluating the impacts of cooperation in transboundary river basins on the Water-Energy-Food nexus: The Blue Nile Basin
    Mohammed Basheer, Kevin Wheeler, Lars Ribbe · 2018 · The Science of The Total Environment
40. Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mazen Ismaeel Ghareb, Isa Ebtehaj, Hossein Bonakdari, Ridwan Siddique, Salim Heddam, Ali A. Yusif, Ravinesh Chand Deo · 2017 · Water Resources Management
41. Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
    Gaoyang Li, Haoran Wang, Mingzi Zhang, Simon Tupin, Aike Qiao, Youjun Liu, Makoto Ohta, Hitomi Anzai · 2021 · Communications Biology
42. Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines
    Thaddeus M. Carvajal, Katherine M. Viacrusis, Lara Fides T. Hernandez, Howell T. Ho, Divina Amalin, Kozo Watanabe · 2018 · BMC Infectious Diseases
43. Predicting missing values in spatio-temporal remote sensing data
    Florian Gerber, Rogier de Jong, Michael E. Schaepman · 2018 · Zurich Open Repository and Archive (University of Zurich)
44. A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping
    Omid Ghorbanzadeh, Hashem Rostamzadeh, Thomas Blaschke · 2018 · Natural Hazards
45. Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer
    Omid Moztarzadeh, Mohammad Behdad Jamshidi, Saleh Sargolzaei, Alireza Jamshidi, Nasimeh Baghalipour, Mona Malekzadeh, Lukáš Hauer · 2023 · Bioengineering
46. A Large-Scale Study of the Impact of Feature Selection Techniques on Defect Classification Models
    Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan · 2017 · IEEE/ACM International Conference on Mining Software Repositories (MSR)
47. Time series model for forecasting the number of new admission inpatients
    Lingling Zhou, Ping Zhao, Dongdong Wu · 2018 · BMC Medical Informatics and Decision Making
48. Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
    Khabat Khosravi, Prasad Daggupati, Mohammad Taghi Alami, Salih Muhammad Awadh, Mazen Ismaeel Ghareb, Mehdi Panahi, Binh Thai Pham, Fatemeh Rezaie, Chongchong Qi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 2019 · Computers and Electronics in Agriculture
49. Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods
    Mehmet Timur Cihan · 2019 · Advances in Civil Engineering
50. Evaluation of complete-arch implant scanning with 5 different intraoral scanners in terms of trueness and operator experience
    Griffin Revell, Botond Simon, Anthony S. Mennito · 2021 · Journal of Prosthetic Dentistry
51. A review of model evaluation metrics for machine learning in genetics and genomics
    Catriona Miller, Theo Portlock, Denis M. Nyaga, Justin Martin O'Sullivan · 2024 · Frontiers in Bioinformatics
52. Untitled work
    Zhang · 2020 · 10.1145/3432192
53. Recommendation system techniques and related issues: a survey
    Pushpendra Kumar, Ramjeevan Singh Thakur · 2018 · International Journal of Information Technology
54. A comparative analysis of similarity measures akin to the Jaccard index in collaborative recommendations: empirical and theoretical perspective
    Vijay Kumar Verma, Rajesh Kumar Aggarwal · 2020 · Social Network Analysis and Mining
55. A robust deep learning framework for short-term wind power forecast of a full-scale wind farm using atmospheric variables
    Rajitha Meka, Adel Alaeddini, Kiran Bhaganagar · 2021 · Energy
56. Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms
    Shang Tian, Hongwei Guo, Xu Wang, Xiaotong Zhu, Bo Wang, Qinghuai Zeng, Youquan Mai, Jinhui Jeanne Huang‬‬‬‬ · 2022 · Environmental Science and Pollution Research
57. Time series decomposition of remotely sensed land surface temperature and investigation of trends and seasonal variations in surface urban heat islands
    Jinling Quan, Wenfeng Zhan, Yunhao Chen, Mengjie Wang, Jinfei Wang · 2016 · Journal of Geophysical Research Atmospheres
58. Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models
    Hai‐Bang Ly, Binh Thai Pham, Lei Lü, Tien-Thinh Le, Minh Vuong Le, Panagiotis G. Asteris · 2020 · Neural Computing and Applications
59. Groundwater Prediction Using Machine-Learning Tools
    Eslam A. Hussein, Christopher Thron, Mehrdad Ghaziasgar · 2020 · Algorithms
60. Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors
    Ze kun Yang, Wang Gao · 2022 · Advanced Science
61. AI-assisted knowledge assessment techniques for adaptive learning environments
    Sein Minn · 2022 · Computers and Education: Artificial Intelligence
62. Missing value imputation for the analysis of incomplete traffic accident data
    Rupam Deb, Alan Wee‐Chung Liew · 2016 · Information Sciences
63. Enhancing the Applicability of Satellite Remote Sensing for PM 2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States
    Hyung Joo Lee, Robert B. Chatfield, Anthony W. Strawa · 2016 · Environmental Science & Technology
64. A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling
    Binh Thai Pham, Indra Prakash, Khabat Khosravi · 2018 · Geocarto International
65. SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network
    Peng Sun, Azzedine Boukerche, Yanjie Tao · 2020 · Computer Communications
66. Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam
    Zhaoqiu Lyu, Yang Yu, Bijan Samali, Maria Rashidi, Masoud Mohammadi, Thuc Nhu Nguyen, Andy Nguyễn · 2022 · Materials
67. Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs
    Mohsen Yoosefzadeh-Najafabadi, Mohsen Hesami, Milad Eskandari · 2023 · Genes
68. Evaluation of reference evapotranspiration methods for the northeastern region of India
    Pankaj Kumar Pandey, Parmendra P. Dabral, Vanita Pandey · 2016 · International Soil and Water Conservation Research
69. Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields
    Mehdi Hosseini, Heather E. McNairn · 2017 · International Journal of Applied Earth Observation and Geoinformation
70. Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization
    Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flávio de Melo, Sylvio Barbon · 2019 · EURASIP Journal on Image and Video Processing
71. The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature
    G. Parady, D. Ory, Joan L. Walker · 2021 · Journal of Choice Modelling
72. High-speed railway seismic response prediction using CNN-LSTM hybrid neural network
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73. A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
    Omid Ghorbanzadeh, Thomas Blaschke, Jagannath Aryal · 2018 · Journal of Spatial Science
74. Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM
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75. Building life-span prediction for life cycle assessment and life cycle cost using machine learning: A big data approach
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76. A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam
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77. Validation of satellite based precipitation over diverse topography of Pakistan
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78. Smart Water Quality Monitoring with IoT Wireless Sensor Networks
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79. Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models
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80. Large-scale water quality prediction with integrated deep neural network
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81. Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis
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82. EVDHM-ARIMA-Based Time Series Forecasting Model and Its Application for COVID-19 Cases
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83. Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line -- based on nighttime light data and cellular automata
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84. Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach
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85. A critical review on selecting performance evaluation metrics for supervised machine learning models in wastewater quality prediction
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86. Regression-based models for the prediction of unconfined compressive strength of artificially structured soil
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87. The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction
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88. Estimating spatio-temporal air temperature in London (UK) using machine learning and earth observation satellite data
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89. Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh
    Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mumtaz Ali, Ahmad Sharafati, Nadhir Abbas Al-Ansari, Shamsuddin Shahid · 2021 · Scientific Reports
90. Prediction in HRM research–A gap between rhetoric and reality
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91. Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models
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92. Real‐time biomechanics using the finite element method and machine learning: Review and perspective
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93. Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems
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94. Can DEM time series produced by UAV be used to quantify diffuse erosion in an agricultural watershed?
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95. A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
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96. Intelligent design of shear wall layout based on graph neural networks
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97. Assessment of different techniques for 3D superimposition of serial digital maxillary dental casts on palatal structures
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98. Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation
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99. Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel
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100. Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
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