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Performance Metrics (Error Measures) in Machine Learning Regression,
  Forecasting and Prognostics: Properties and Typology

Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology

9 September 2018
A. Botchkarev
ArXiv (abs)PDFHTML

Papers citing "Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology"

32 / 32 papers shown
Title
Adaptive Machine Learning for Resource-Constrained Environments
Adaptive Machine Learning for Resource-Constrained Environments
Sebastián A. Cajas Ordóñez
Jaydeep Samanta
Andrés L. Suárez-Cetrulo
Ricardo Simón Carbajo
180
0
0
24 Mar 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
Guang Lin
D. Nguyen
Zerui Tao
Konstantinos Slavakis
Toshihisa Tanaka
Qibin Zhao
AAML
110
1
0
25 Feb 2025
A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
Matteo Esposito
Mikel Robredo
Murali Sridharan
Guilherme Horta Travassos
Rafael Peñaloza
Valentina Lenarduzzi
92
0
0
22 Jan 2025
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Firas Bayram
Bestoun S. Ahmed
OOD
60
2
0
28 Oct 2024
MEMS Gyroscope Multi-Feature Calibration Using Machine Learning
  Technique
MEMS Gyroscope Multi-Feature Calibration Using Machine Learning Technique
Yaoyao Long
Zhenming Liu
Cong Hao
Farrokh Ayazi
14
1
0
10 Oct 2024
The Monetisation of Toxicity: Analysing YouTube Content Creators and
  Controversy-Driven Engagement
The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement
Jian Li
Bowen Xu
Sören Schwertfeger
37
4
0
01 Aug 2024
Preserving Node Distinctness in Graph Autoencoders via Similarity
  Distillation
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation
Ge Chen
Yulan Hu
Sheng Ouyang
Yong Liu
Cuicui Luo
87
0
0
25 Jun 2024
A Comparative Study of Sampling Methods with Cross-Validation in the
  FedHome Framework
A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework
Arash Ahmadi
Sarah S. Sharif
Yaser M. Banad
FedML
36
2
0
04 Jun 2024
How many samples are needed to train a deep neural network?
How many samples are needed to train a deep neural network?
Pegah Golestaneh
Mahsa Taheri
Johannes Lederer
76
4
0
26 May 2024
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
Md Abrar Jahin
Asef Shahriar
Md Al Amin
AI4TS
79
5
0
24 May 2024
On the Performance of Imputation Techniques for Missing Values on
  Healthcare Datasets
On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
Luke Oluwaseye Joel
Wesley Doorsamy
B. Paul
AI4TS
55
7
0
13 Mar 2024
Advancing Fluid-Based Thermal Management Systems Design: Leveraging
  Graph Neural Networks for Graph Regression and Efficient Enumeration
  Reduction
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction
Saeid Bayat
N. Shahmansouri
Satya RT Peddada
Alex Tessier
Adrian Butscher
James T. Allison
15
1
0
24 Nov 2023
Reimagining Application User Interface (UI) Design using Deep Learning
  Methods: Challenges and Opportunities
Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities
Subtain Malik
M. T. Saeed
Marya Jabeen Zia
S. Rasool
Liaquat A. Khan
Mian Ilyas Ahmed
AI4TSAI4CE
36
3
0
23 Mar 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic
  Healthcare Records with Transformer
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
5
0
28 Jan 2023
Predicting mental health using social media: A roadmap for future
  development
Predicting mental health using social media: A roadmap for future development
R. Safa
S. A. Edalatpanah
Ali Sorourkhah
AI4MH
56
11
0
25 Jan 2023
A case study of spatiotemporal forecasting techniques for weather
  forecasting
A case study of spatiotemporal forecasting techniques for weather forecasting
Shakir Showkat Sofi
Ivan Oseledets
62
4
0
29 Sep 2022
Artificial intelligence system based on multi-value classification of
  fully connected neural network for construction management
Artificial intelligence system based on multi-value classification of fully connected neural network for construction management
Tetyana Honcharenko
R. Akselrod
A. Shpakov
O. Khomenko
35
0
0
19 Jun 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
96
90
0
10 Feb 2022
Intra-domain and cross-domain transfer learning for time series data --
  How transferable are the features?
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
Erik Otović
Marko Njirjak
Dario Jozinović
G. Mauša
A. Michelini
Ivan Štajduhar
AI4TS
46
44
0
12 Jan 2022
Deciphering Environmental Air Pollution with Large Scale City Data
Deciphering Environmental Air Pollution with Large Scale City Data
Mayukh Bhattacharyya
Sayan Nag
Udita Ghosh
AI4CE
47
5
0
09 Sep 2021
Data-driven Small-signal Modeling for Converter-based Power Systems
Data-driven Small-signal Modeling for Converter-based Power Systems
F. Rossi
E. Prieto‐Araujo
M. Cheah‐Mane
O. Gomis‐Bellmunt
37
0
0
30 Aug 2021
A Look at the Evaluation Setup of the M5 Forecasting Competition
A Look at the Evaluation Setup of the M5 Forecasting Competition
Hansika Hewamalage
Pablo Montero-Manso
Christoph Bergmeir
Rob J. Hyndman
150
3
0
08 Aug 2021
Towards Error Measures which Influence a Learners Inductive Bias to the
  Ground Truth
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth
A. I. Parkes
Adam Sobey
D. Hudson
UQCV
43
1
0
04 May 2021
Modelling the COVID-19 virus evolution with Incremental Machine Learning
Modelling the COVID-19 virus evolution with Incremental Machine Learning
Andrés L. Suárez-Cetrulo
Ankit Kumar
Luis Miralles-Pechuán
45
4
0
14 Apr 2021
Computation Resource Allocation Solution in Recommender Systems
Computation Resource Allocation Solution in Recommender Systems
Xun Yang
Yunli Wang
Cheng Chen
Qing Tan
Chuan Yu
Jian Xu
Xiaoqiang Zhu
11
7
0
03 Mar 2021
Predicting the Mechanical Properties of Biopolymer Gels Using Neural
  Networks Trained on Discrete Fiber Network Data
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
32
0
23 Jan 2021
A critical analysis of metrics used for measuring progress in artificial
  intelligence
A critical analysis of metrics used for measuring progress in artificial intelligence
Kathrin Blagec
Georg Dorffner
M. Moradi
Matthias Samwald
76
34
0
06 Aug 2020
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and
  ARIMA Models
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models
Arko Barman
AI4TS
18
12
0
05 Jun 2020
Insights into Performance Fitness and Error Metrics for Machine Learning
Insights into Performance Fitness and Error Metrics for Machine Learning
M. Z. Naser
A. Alavi
52
288
0
17 May 2020
Representations of molecules and materials for interpolation of
  quantum-mechanical simulations via machine learning
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
AI4CE
73
99
0
26 Mar 2020
A Simple Model for Portable and Fast Prediction of Execution Time and
  Power Consumption of GPU Kernels
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
Lorenz Braun
S. Nikas
Chen Song
Vincent Heuveline
Holger Fröning
39
39
0
20 Jan 2020
System Identification with Time-Aware Neural Sequence Models
System Identification with Time-Aware Neural Sequence Models
Thomas Demeester
57
12
0
21 Nov 2019
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