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1809.03006
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Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology
9 September 2018
A. Botchkarev
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Papers citing
"Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology"
32 / 32 papers shown
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Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
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MEMS Gyroscope Multi-Feature Calibration Using Machine Learning Technique
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Zhenming Liu
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The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement
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Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
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Yulan Hu
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25 Jun 2024
A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework
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Sarah S. Sharif
Yaser M. Banad
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04 Jun 2024
How many samples are needed to train a deep neural network?
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26 May 2024
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On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
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Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities
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M. T. Saeed
Marya Jabeen Zia
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Mian Ilyas Ahmed
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23 Mar 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer
Zhaoyang Chen
Lina Siltala-Li
Mikko Lassila
Pekka Malo
Eeva Vilkkumaa
T. Saaresranta
A. Virkki
69
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Predicting mental health using social media: A roadmap for future development
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S. A. Edalatpanah
Ali Sorourkhah
AI4MH
56
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A case study of spatiotemporal forecasting techniques for weather forecasting
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Ivan Oseledets
62
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Artificial intelligence system based on multi-value classification of fully connected neural network for construction management
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R. Akselrod
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35
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Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
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Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
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Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
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Marko Njirjak
Dario Jozinović
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Ivan Štajduhar
AI4TS
46
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12 Jan 2022
Deciphering Environmental Air Pollution with Large Scale City Data
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47
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Data-driven Small-signal Modeling for Converter-based Power Systems
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150
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Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
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Adam Sobey
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Modelling the COVID-19 virus evolution with Incremental Machine Learning
Andrés L. Suárez-Cetrulo
Ankit Kumar
Luis Miralles-Pechuán
36
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14 Apr 2021
Computation Resource Allocation Solution in Recommender Systems
Xun Yang
Yunli Wang
Cheng Chen
Qing Tan
Chuan Yu
Jian Xu
Xiaoqiang Zhu
11
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Predicting the Mechanical Properties of Biopolymer Gels Using Neural Networks Trained on Discrete Fiber Network Data
Yue Leng
Vahidullah Tac
S. Calve
A. B. Tepole
86
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23 Jan 2021
A critical analysis of metrics used for measuring progress in artificial intelligence
Kathrin Blagec
Georg Dorffner
M. Moradi
Matthias Samwald
76
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06 Aug 2020
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models
Arko Barman
AI4TS
16
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Insights into Performance Fitness and Error Metrics for Machine Learning
M. Z. Naser
A. Alavi
52
288
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17 May 2020
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
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73
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26 Mar 2020
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
Lorenz Braun
S. Nikas
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Vincent Heuveline
Holger Fröning
37
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20 Jan 2020
System Identification with Time-Aware Neural Sequence Models
Thomas Demeester
57
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1