Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-5481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
U.S. Geological Survey Central Midwest Water Science Center, Urbana, IL, USA
Viewed
Total article views: 14,084 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Mar 2022)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
9,591 | 4,367 | 126 | 14,084 | 179 | 95 |
- HTML: 9,591
- PDF: 4,367
- XML: 126
- Total: 14,084
- BibTeX: 179
- EndNote: 95
Total article views: 10,622 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Jul 2022)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
7,209 | 3,310 | 103 | 10,622 | 165 | 84 |
- HTML: 7,209
- PDF: 3,310
- XML: 103
- Total: 10,622
- BibTeX: 165
- EndNote: 84
Total article views: 3,462 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Mar 2022)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,382 | 1,057 | 23 | 3,462 | 14 | 11 |
- HTML: 2,382
- PDF: 1,057
- XML: 23
- Total: 3,462
- BibTeX: 14
- EndNote: 11
Viewed (geographical distribution)
Total article views: 14,084 (including HTML, PDF, and XML)
Thereof 13,040 with geography defined
and 1,044 with unknown origin.
Total article views: 10,622 (including HTML, PDF, and XML)
Thereof 9,857 with geography defined
and 765 with unknown origin.
Total article views: 3,462 (including HTML, PDF, and XML)
Thereof 3,183 with geography defined
and 279 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
102 citations as recorded by crossref.
- LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement S. Zhang et al. 10.1016/j.eswa.2023.122546
- Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting D. Kontogiannis et al. 10.3390/electricity3040025
- Optimized segmented regression models for the transition period of intervention effects X. Zhang et al. 10.1186/s41256-023-00312-3
- Predictive Modeling of Urban Lake Water Quality Using Machine Learning: A 20-Year Study T. Miller et al. 10.3390/app132011217
- A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance M. Bhushan et al. 10.1007/s13198-023-02160-3
- Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression X. Wang et al. 10.1007/s11063-023-11424-9
- BenchMetrics Prob: benchmarking of probabilistic error/loss performance evaluation instruments for binary classification problems G. Canbek 10.1007/s13042-023-01826-5
- Enhancing DSS Exploitation Based on VGI Quality Assessment: Conceptual Framework and Experimental Evaluation T. Sboui & S. Aissi 10.3390/systems11080393
- Optimizing Data Security with Hybrid Scheme Based on LSB and DWT S. Abdullah & S. Fleyeh Nawaf 10.25130/tjes.30.3.17
- Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF H. Darwish & A. Al-Quraan 10.3390/su15043270
- Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. 10.5194/tc-17-2965-2023
- Prediction and Analysis of Blood Glucose Levels based on Tabnet H. Yang 10.54691/sjt.v5i7.5288
- Reproducing computational processes in service-based geo-simulation experiments Z. Zhu et al. 10.1016/j.jag.2023.103520
- Pitfalls and potential of high-throughput plant phenotyping platforms H. Poorter et al. 10.3389/fpls.2023.1233794
- FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading O. Abramovich et al. 10.1016/j.cmpb.2023.107522
- Damage detection of spent nuclear fuel canisters using frequency response functions M. Aghagholizadeh et al. 10.1016/j.anucene.2023.109707
- Accuracy Assessment of High-Resolution Globally Available Open-Source DEMs Using ICESat/GLAS over Mountainous Areas, A Case Study in Yunnan Province, China M. Li et al. 10.3390/rs15071952
- Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models B. Mothemela et al. 10.1044/2023_AJA-22-00206
- Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment S. Moe et al. 10.1109/ACCESS.2023.3320716
- Development of Adaptive Neuro-Fuzzy Inference System for Assessing Industry Leadership in Accident Situations I. Cerqueira et al. 10.1109/ACCESS.2022.3206766
- Machine learning approach for predicting yield strength of nitrogen-doped CoCrFeMnNi high entropy alloys at selective thermomechanical processing conditions M. Veeresham et al. 10.1016/j.jmrt.2023.03.146
- Predicción de la presión de burbujeo utilizando aprendizaje automático O. Gil 10.48168/innosoft.s11.a82
- Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN W. He et al. 10.3389/fpls.2023.1181322
- Accuracy and Performance of Machine Learning Methodologies: Novel Assessments of Country Pandemic Vulnerability Based on Non-Pandemic Predictors M. Vlajnic & S. Simske 10.1109/ACCESS.2023.3307495
- The Centroid Method for the Calibration of a Sectorized Digital Twin of an Arch Dam E. Conde López et al. 10.3390/w14193051
- Assessing the Influence of a Bias Correction Method on Future Climate Scenarios Using SWAT as an Impact Model Indicator T. Brighenti et al. 10.3390/w15040750
- Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model D. Ugli et al. 10.3390/s23052869
- A Modeling Design Method for Complex Products Based on LSTM Neural Network and Kansei Engineering J. Duan et al. 10.3390/app13020710
- Development of Regression Models for COVID-19 Trends in Malaysia S. Mutalib et al. 10.37394/23209.2023.20.42
- A real-time automated bone age assessment system based on the RUS-CHN method C. Yang et al. 10.3389/fendo.2023.1073219
- A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al. 10.1021/acsestengg.3c00043
- Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data R. Shi et al. 10.1038/s41598-023-46021-2
- A hybrid four-stage detection model to pre-identify the sustainable manufacturing process of Li-ion battery pack Y. Chen et al. 10.1007/s11227-023-05757-4
- Analysis of annual and monthly precipitation trends based on long-term data (Case study: Zohreh–Jirahi Basin in Iran) A. Bidgoli et al. 10.1007/s12040-023-02157-3
- Modelling and control of hydrogen production processes based on electrolysis E. Mironov 10.14498/tech.2023.2.6
- Application of Machine Learning Models in Systemic Lupus Erythematosus F. Ceccarelli et al. 10.3390/ijms24054514
- Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination H. Archer et al. 10.1007/s00256-023-04502-5
- VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin L. Dang et al. 10.3390/plants12142647
- Future area expansion outweighs increasing drought risk for soybean in Europe C. Nendel et al. 10.1111/gcb.16562
- A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits R. Fernandes et al. 10.3390/su151411161
- A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
- Anomaly detection with a container-based stream processing framework for Industrial Internet of Things R. Wang et al. 10.1016/j.jii.2023.100507
- Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrids M. Hartani et al. 10.1016/j.energy.2023.127703
- Development and Application of a Predictive Model for Estimating Refinery Shutdown Duration and Resilience Impacts Due to Hurricane Hazards K. Capshaw & J. Padgett 10.1115/1.4062681
- Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks C. Kang et al. 10.3390/app13064019
- Modeling the effects of speed limit cameras (SLCs) on air quality and traffic flow on access-controlled highways D. Akin et al. 10.1016/j.apr.2023.101920
- Three-dimensional Reverse Modeling and Hydraulic Analysis of the Intake Structure of Pumping Stations on Sediment-laden Rivers C. Xu et al. 10.1007/s11269-022-03385-w
- An Optimized Workflow for Digital Surface Model Series Generation Based on Historical Aerial Images: Testing and Quality Assessment in the Beach-Dune System of Sa Ràpita-Es Trenc (Mallorca, Spain) C. Mestre-Runge et al. 10.3390/rs15082044
- Physiological equivalent temperature-based and universal thermal climate index-based adaptive-rational outdoor thermal comfort models S. Zhang et al. 10.1016/j.buildenv.2022.109900
- An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles F. Sanghavi et al. 10.3390/s23177418
- Novel solar forecasting scheme modelled by mixer dual path network and based on sky images T. Zhu et al. 10.1016/j.prime.2023.100315
- Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics R. Ota & F. Yamashita 10.1016/j.jconrel.2022.11.014
- Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method Y. Chen et al. 10.1109/ACCESS.2023.3305398
- Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review A. ZhuParris et al. 10.3390/s23115243
- Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks G. Montanaro et al. 10.34133/plantphenomics.0061
- Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products J. Pendiuk et al. 10.3390/hydrology10070146
- Soil total suction sensing using fiber-optic technology J. Guo et al. 10.1016/j.geoderma.2023.116687
- Review of Segmentation Methods for Coastline Detection in SAR Images M. Ciecholewski 10.1007/s11831-023-10000-7
- KE: A Knowledge Enhancing Framework for Machine Learning Models Y. Wang et al. 10.1021/acs.jpca.3c04076
- Machine learning prediction of biochar yield based on biomass characteristics J. Ma et al. 10.1016/j.biortech.2023.129820
- Grey-box model for model predictive control of buildings P. Klanatsky et al. 10.1016/j.enbuild.2023.113624
- Optimizing the Ultrashort Laser Pulses for In Situ Nanostructure Generation Technique for High-Performance Supercapacitor Electrodes Using Artificial Neural Networks and Simulated Annealing Algorithms K. Khosravinia & A. Kiani 10.1021/acsomega.3c01676
- Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions F. Wang et al. 10.1016/j.resourpol.2023.103747
- Age estimation in fishes using epigenetic clocks: Applications to fisheries management and conservation biology F. Piferrer & D. Anastasiadi 10.3389/fmars.2023.1062151
- Age estimation through facial images using Deep CNN Pretrained Model and Particle Swarm Optimization N. Muliawan et al. 10.1051/e3sconf/202342601041
- Estimation of the deep drainage for irrigated cropland based on satellite observations and deep neural networks H. Yu et al. 10.1016/j.rse.2023.113819
- U-Patch GAN: A Medical Image Fusion Method Based on GAN C. Fan et al. 10.1007/s10278-022-00696-7
- Achieving Reliability in Cloud Computing by a Novel Hybrid Approach M. Shahid et al. 10.3390/s23041965
- Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny L. Ma et al. 10.3390/agronomy13051419
- The Multi-Objective Optimization of Low-Impact Development Facilities in Shallow Mountainous Areas Using Genetic Algorithms H. Sun et al. 10.3390/w14192986
- A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy Y. Hao et al. 10.1016/j.precisioneng.2023.09.007
- Curve-Aware Model Predictive Control (C-MPC) Trajectory Tracking for Automated Guided Vehicle (AGV) over On-Road, In-Door, and Agricultural-Land S. Manikandan et al. 10.3390/su141912021
- Adaptive LASSO estimation for functional hidden dynamic geostatistical models P. Maranzano et al. 10.1007/s00477-023-02466-5
- PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al. 10.3390/rs15194646
- Forecasting of Successful Completion of University Study Programs: Data Pre-processing and Optimization of LAMA BPO Algorithm A. Iurasov & A. Iurasov 10.57005/ab.2022.1.5
- Dental implant brand and angle identification using deep neural networks B. Tiryaki et al. 10.1016/j.prosdent.2023.07.022
- Machine Learning and Artificial Intelligence in Surgical Research S. Srinivas & A. Young 10.1016/j.suc.2022.11.002
- Establishing a Berry Sensory Evaluation Model Based on Machine Learning M. Liu et al. 10.3390/foods12183502
- Optimization of machine learning classifier using multispectral data in assessment of Ganoderma basal stem rot (BSR) disease in oil palm plantation M. Baharim et al. 10.1007/s41870-023-01483-5
- Explainable Data-Driven Method Combined with Bayesian Filtering for Remaining Useful Lifetime Prediction of Aircraft Engines Using NASA CMAPSS Datasets F. Maulana et al. 10.3390/machines11020163
- A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction A. Bressane et al. 10.3390/w15061126
- Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation K. Lee et al. 10.3390/app13179818
- New indices to quantify patterns of relative errors produced by spatial interpolation models – A comparative study by modelling soil properties U. Bronowicka-Mielniczuk & J. Mielniczuk 10.1016/j.ecolind.2023.110551
- Linking error measures to model questions B. Jacobs et al. 10.1016/j.ecolmodel.2023.110562
- Acoustic Source Tracking Based on Probabilistic Data Association and Distributed Cubature Kalman Filtering in Acoustic Sensor Networks Y. Chen et al. 10.3390/s22197160
- Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm M. Asim Shahid et al. 10.1371/journal.pone.0284209
- Cable Broken Wire Signal Recognition Based on Convolutional Neural Network W. Zhu et al. 10.3390/electronics12092138
- Deep neural network for prediction and control of permeability decline in single pass tangential flow ultrafiltration in continuous processing of monoclonal antibodies N. Jesubalan et al. 10.3389/fceng.2023.1182817
- Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor S. Zahir et al. 10.1016/j.saa.2023.123273
- Direct and non-contact measurement of liquid fraction in unconstrained encapsulated PCM melting A. Boroojerdian et al. 10.1016/j.energy.2023.129359
- Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia K. Tareke & A. Awoke 10.1016/j.heliyon.2023.e13287
- OSA onset: An algorithm for determining the onset and duration of obstructive sleep apnea (OSA) M. Olaithe et al. 10.1016/j.sleep.2023.08.027
- Documentation strategy for facilitating the reproducibility of geo-simulation experiments Z. Zhu et al. 10.1016/j.envsoft.2023.105687
- Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach R. Nakamoto et al. 10.3390/computers12110217
- Rapid Estimation of Contact Stresses in Imageless Total Knee Arthroplasty J. Kim et al. 10.3390/math11163527
- Development of Regression Model for Predicting the Maximum Static Friction Force of Tractors with a Front-End Loader S. Kim et al. 10.1007/s42853-023-00194-w
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. 10.3390/w14192998
- Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion A. Untadi et al. 10.3390/axioms12060524
- Parameter recommendation for injection molding based on similarity analysis of injection molded parts J. Volke et al. 10.1016/j.jmapro.2023.03.072
- Geospatial modeling of heterogeneous geotechnical data using conventional and enhanced conception of modified Shepard method-based IDW algorithms: application and appraisal Z. Ijaz et al. 10.1007/s10064-023-03435-6
- Assessment of the impact of climate change and flooding on bridges and surrounding area B. Habeeb & E. Bastidas-Arteaga 10.3389/fbuil.2023.1268304
- Siyah Alaca Sığırlarda Farklı Büyüme ve Gelişme Dönemlerindeki Vücut Ölçülerinden Canlı Ağırlık Tahmininde Kullanılan Veri Madenciliği Algoritmalarının Karşılaştırılması G. COŞKUN et al. 10.33724/zm.1092837
99 citations as recorded by crossref.
- LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement S. Zhang et al. 10.1016/j.eswa.2023.122546
- Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting D. Kontogiannis et al. 10.3390/electricity3040025
- Optimized segmented regression models for the transition period of intervention effects X. Zhang et al. 10.1186/s41256-023-00312-3
- Predictive Modeling of Urban Lake Water Quality Using Machine Learning: A 20-Year Study T. Miller et al. 10.3390/app132011217
- A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance M. Bhushan et al. 10.1007/s13198-023-02160-3
- Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression X. Wang et al. 10.1007/s11063-023-11424-9
- BenchMetrics Prob: benchmarking of probabilistic error/loss performance evaluation instruments for binary classification problems G. Canbek 10.1007/s13042-023-01826-5
- Enhancing DSS Exploitation Based on VGI Quality Assessment: Conceptual Framework and Experimental Evaluation T. Sboui & S. Aissi 10.3390/systems11080393
- Optimizing Data Security with Hybrid Scheme Based on LSB and DWT S. Abdullah & S. Fleyeh Nawaf 10.25130/tjes.30.3.17
- Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF H. Darwish & A. Al-Quraan 10.3390/su15043270
- Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. 10.5194/tc-17-2965-2023
- Prediction and Analysis of Blood Glucose Levels based on Tabnet H. Yang 10.54691/sjt.v5i7.5288
- Reproducing computational processes in service-based geo-simulation experiments Z. Zhu et al. 10.1016/j.jag.2023.103520
- Pitfalls and potential of high-throughput plant phenotyping platforms H. Poorter et al. 10.3389/fpls.2023.1233794
- FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading O. Abramovich et al. 10.1016/j.cmpb.2023.107522
- Damage detection of spent nuclear fuel canisters using frequency response functions M. Aghagholizadeh et al. 10.1016/j.anucene.2023.109707
- Accuracy Assessment of High-Resolution Globally Available Open-Source DEMs Using ICESat/GLAS over Mountainous Areas, A Case Study in Yunnan Province, China M. Li et al. 10.3390/rs15071952
- Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models B. Mothemela et al. 10.1044/2023_AJA-22-00206
- Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment S. Moe et al. 10.1109/ACCESS.2023.3320716
- Development of Adaptive Neuro-Fuzzy Inference System for Assessing Industry Leadership in Accident Situations I. Cerqueira et al. 10.1109/ACCESS.2022.3206766
- Machine learning approach for predicting yield strength of nitrogen-doped CoCrFeMnNi high entropy alloys at selective thermomechanical processing conditions M. Veeresham et al. 10.1016/j.jmrt.2023.03.146
- Predicción de la presión de burbujeo utilizando aprendizaje automático O. Gil 10.48168/innosoft.s11.a82
- Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN W. He et al. 10.3389/fpls.2023.1181322
- Accuracy and Performance of Machine Learning Methodologies: Novel Assessments of Country Pandemic Vulnerability Based on Non-Pandemic Predictors M. Vlajnic & S. Simske 10.1109/ACCESS.2023.3307495
- The Centroid Method for the Calibration of a Sectorized Digital Twin of an Arch Dam E. Conde López et al. 10.3390/w14193051
- Assessing the Influence of a Bias Correction Method on Future Climate Scenarios Using SWAT as an Impact Model Indicator T. Brighenti et al. 10.3390/w15040750
- Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model D. Ugli et al. 10.3390/s23052869
- A Modeling Design Method for Complex Products Based on LSTM Neural Network and Kansei Engineering J. Duan et al. 10.3390/app13020710
- Development of Regression Models for COVID-19 Trends in Malaysia S. Mutalib et al. 10.37394/23209.2023.20.42
- A real-time automated bone age assessment system based on the RUS-CHN method C. Yang et al. 10.3389/fendo.2023.1073219
- A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al. 10.1021/acsestengg.3c00043
- Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data R. Shi et al. 10.1038/s41598-023-46021-2
- A hybrid four-stage detection model to pre-identify the sustainable manufacturing process of Li-ion battery pack Y. Chen et al. 10.1007/s11227-023-05757-4
- Analysis of annual and monthly precipitation trends based on long-term data (Case study: Zohreh–Jirahi Basin in Iran) A. Bidgoli et al. 10.1007/s12040-023-02157-3
- Modelling and control of hydrogen production processes based on electrolysis E. Mironov 10.14498/tech.2023.2.6
- Application of Machine Learning Models in Systemic Lupus Erythematosus F. Ceccarelli et al. 10.3390/ijms24054514
- Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination H. Archer et al. 10.1007/s00256-023-04502-5
- VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin L. Dang et al. 10.3390/plants12142647
- Future area expansion outweighs increasing drought risk for soybean in Europe C. Nendel et al. 10.1111/gcb.16562
- A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits R. Fernandes et al. 10.3390/su151411161
- A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
- Anomaly detection with a container-based stream processing framework for Industrial Internet of Things R. Wang et al. 10.1016/j.jii.2023.100507
- Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrids M. Hartani et al. 10.1016/j.energy.2023.127703
- Development and Application of a Predictive Model for Estimating Refinery Shutdown Duration and Resilience Impacts Due to Hurricane Hazards K. Capshaw & J. Padgett 10.1115/1.4062681
- Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks C. Kang et al. 10.3390/app13064019
- Modeling the effects of speed limit cameras (SLCs) on air quality and traffic flow on access-controlled highways D. Akin et al. 10.1016/j.apr.2023.101920
- Three-dimensional Reverse Modeling and Hydraulic Analysis of the Intake Structure of Pumping Stations on Sediment-laden Rivers C. Xu et al. 10.1007/s11269-022-03385-w
- An Optimized Workflow for Digital Surface Model Series Generation Based on Historical Aerial Images: Testing and Quality Assessment in the Beach-Dune System of Sa Ràpita-Es Trenc (Mallorca, Spain) C. Mestre-Runge et al. 10.3390/rs15082044
- Physiological equivalent temperature-based and universal thermal climate index-based adaptive-rational outdoor thermal comfort models S. Zhang et al. 10.1016/j.buildenv.2022.109900
- An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles F. Sanghavi et al. 10.3390/s23177418
- Novel solar forecasting scheme modelled by mixer dual path network and based on sky images T. Zhu et al. 10.1016/j.prime.2023.100315
- Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics R. Ota & F. Yamashita 10.1016/j.jconrel.2022.11.014
- Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method Y. Chen et al. 10.1109/ACCESS.2023.3305398
- Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review A. ZhuParris et al. 10.3390/s23115243
- Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks G. Montanaro et al. 10.34133/plantphenomics.0061
- Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products J. Pendiuk et al. 10.3390/hydrology10070146
- Soil total suction sensing using fiber-optic technology J. Guo et al. 10.1016/j.geoderma.2023.116687
- Review of Segmentation Methods for Coastline Detection in SAR Images M. Ciecholewski 10.1007/s11831-023-10000-7
- KE: A Knowledge Enhancing Framework for Machine Learning Models Y. Wang et al. 10.1021/acs.jpca.3c04076
- Machine learning prediction of biochar yield based on biomass characteristics J. Ma et al. 10.1016/j.biortech.2023.129820
- Grey-box model for model predictive control of buildings P. Klanatsky et al. 10.1016/j.enbuild.2023.113624
- Optimizing the Ultrashort Laser Pulses for In Situ Nanostructure Generation Technique for High-Performance Supercapacitor Electrodes Using Artificial Neural Networks and Simulated Annealing Algorithms K. Khosravinia & A. Kiani 10.1021/acsomega.3c01676
- Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions F. Wang et al. 10.1016/j.resourpol.2023.103747
- Age estimation in fishes using epigenetic clocks: Applications to fisheries management and conservation biology F. Piferrer & D. Anastasiadi 10.3389/fmars.2023.1062151
- Age estimation through facial images using Deep CNN Pretrained Model and Particle Swarm Optimization N. Muliawan et al. 10.1051/e3sconf/202342601041
- Estimation of the deep drainage for irrigated cropland based on satellite observations and deep neural networks H. Yu et al. 10.1016/j.rse.2023.113819
- U-Patch GAN: A Medical Image Fusion Method Based on GAN C. Fan et al. 10.1007/s10278-022-00696-7
- Achieving Reliability in Cloud Computing by a Novel Hybrid Approach M. Shahid et al. 10.3390/s23041965
- Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny L. Ma et al. 10.3390/agronomy13051419
- The Multi-Objective Optimization of Low-Impact Development Facilities in Shallow Mountainous Areas Using Genetic Algorithms H. Sun et al. 10.3390/w14192986
- A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy Y. Hao et al. 10.1016/j.precisioneng.2023.09.007
- Curve-Aware Model Predictive Control (C-MPC) Trajectory Tracking for Automated Guided Vehicle (AGV) over On-Road, In-Door, and Agricultural-Land S. Manikandan et al. 10.3390/su141912021
- Adaptive LASSO estimation for functional hidden dynamic geostatistical models P. Maranzano et al. 10.1007/s00477-023-02466-5
- PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al. 10.3390/rs15194646
- Forecasting of Successful Completion of University Study Programs: Data Pre-processing and Optimization of LAMA BPO Algorithm A. Iurasov & A. Iurasov 10.57005/ab.2022.1.5
- Dental implant brand and angle identification using deep neural networks B. Tiryaki et al. 10.1016/j.prosdent.2023.07.022
- Machine Learning and Artificial Intelligence in Surgical Research S. Srinivas & A. Young 10.1016/j.suc.2022.11.002
- Establishing a Berry Sensory Evaluation Model Based on Machine Learning M. Liu et al. 10.3390/foods12183502
- Optimization of machine learning classifier using multispectral data in assessment of Ganoderma basal stem rot (BSR) disease in oil palm plantation M. Baharim et al. 10.1007/s41870-023-01483-5
- Explainable Data-Driven Method Combined with Bayesian Filtering for Remaining Useful Lifetime Prediction of Aircraft Engines Using NASA CMAPSS Datasets F. Maulana et al. 10.3390/machines11020163
- A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction A. Bressane et al. 10.3390/w15061126
- Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation K. Lee et al. 10.3390/app13179818
- New indices to quantify patterns of relative errors produced by spatial interpolation models – A comparative study by modelling soil properties U. Bronowicka-Mielniczuk & J. Mielniczuk 10.1016/j.ecolind.2023.110551
- Linking error measures to model questions B. Jacobs et al. 10.1016/j.ecolmodel.2023.110562
- Acoustic Source Tracking Based on Probabilistic Data Association and Distributed Cubature Kalman Filtering in Acoustic Sensor Networks Y. Chen et al. 10.3390/s22197160
- Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm M. Asim Shahid et al. 10.1371/journal.pone.0284209
- Cable Broken Wire Signal Recognition Based on Convolutional Neural Network W. Zhu et al. 10.3390/electronics12092138
- Deep neural network for prediction and control of permeability decline in single pass tangential flow ultrafiltration in continuous processing of monoclonal antibodies N. Jesubalan et al. 10.3389/fceng.2023.1182817
- Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor S. Zahir et al. 10.1016/j.saa.2023.123273
- Direct and non-contact measurement of liquid fraction in unconstrained encapsulated PCM melting A. Boroojerdian et al. 10.1016/j.energy.2023.129359
- Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia K. Tareke & A. Awoke 10.1016/j.heliyon.2023.e13287
- OSA onset: An algorithm for determining the onset and duration of obstructive sleep apnea (OSA) M. Olaithe et al. 10.1016/j.sleep.2023.08.027
- Documentation strategy for facilitating the reproducibility of geo-simulation experiments Z. Zhu et al. 10.1016/j.envsoft.2023.105687
- Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach R. Nakamoto et al. 10.3390/computers12110217
- Rapid Estimation of Contact Stresses in Imageless Total Knee Arthroplasty J. Kim et al. 10.3390/math11163527
- Development of Regression Model for Predicting the Maximum Static Friction Force of Tractors with a Front-End Loader S. Kim et al. 10.1007/s42853-023-00194-w
- Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al. 10.3390/w14192998
- Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion A. Untadi et al. 10.3390/axioms12060524
- Parameter recommendation for injection molding based on similarity analysis of injection molded parts J. Volke et al. 10.1016/j.jmapro.2023.03.072
3 citations as recorded by crossref.
- Geospatial modeling of heterogeneous geotechnical data using conventional and enhanced conception of modified Shepard method-based IDW algorithms: application and appraisal Z. Ijaz et al. 10.1007/s10064-023-03435-6
- Assessment of the impact of climate change and flooding on bridges and surrounding area B. Habeeb & E. Bastidas-Arteaga 10.3389/fbuil.2023.1268304
- Siyah Alaca Sığırlarda Farklı Büyüme ve Gelişme Dönemlerindeki Vücut Ölçülerinden Canlı Ağırlık Tahmininde Kullanılan Veri Madenciliği Algoritmalarının Karşılaştırılması G. COŞKUN et al. 10.33724/zm.1092837
Latest update: 27 Nov 2023
Executive editor
This is a beautifully written exposition of the properties of two key statistics used in the evalution of models. Everyone working with models should read this paper.
This is a beautifully written exposition of the properties of two key statistics used in the...
Short summary
The task of evaluating competing models is fundamental to science. Models are evaluated based on an objective function, the choice of which ultimately influences what scientists learn from their observations. The mean absolute error (MAE) and root-mean-squared error (RMSE) are two such functions. Both are widely used, yet there remains enduring confusion over their use. This article reviews the theoretical justification behind their usage, as well as alternatives for when they are not suitable.
The task of evaluating competing models is fundamental to science. Models are evaluated based on...