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Time for a change: a tutorial for comparing multiple classifiers through
  Bayesian analysis

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis

14 June 2016
A. Benavoli
Giorgio Corani
J. Demšar
Marco Zaffalon
    BDL
ArXivPDFHTML

Papers citing "Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis"

50 / 60 papers shown
Title
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals
J. Díez-Pastor
Francisco Javier Gonzalez-Moya
Pedro Latorre-Carmona
Francisco Javier Perez-Barbería
Ludmila I.Kuncheva
Antonio Canepa-Oneto
Alvar Arnaiz-González
C. García-Osorio
79
0
0
16 Apr 2025
Sorting the Babble in Babel: Assessing the Performance of Language Detection Algorithms on the OpenAlex Database
Sorting the Babble in Babel: Assessing the Performance of Language Detection Algorithms on the OpenAlex Database
Maxime Holmberg Sainte-Marie
Diego Kozlowski
Lucía Céspedes
Vincent Larivière
85
0
0
05 Feb 2025
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework
Esteban Garces Arias
Hannah Blocher
Julian Rodemann
Meimingwei Li
Christian Heumann
Matthias Aßenmacher
28
1
0
24 Oct 2024
Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics
Kyunghun Lee
Lauren M. Henry
Eleanor Hansen
Elizabeth Tandilashvili
Lauren S. Wakschlag
Elizabeth Norton
Daniel S. Pine
Melissa A. Brotman
Francisco Pereira
30
0
0
11 Oct 2024
A Tutorial on the Design, Experimentation and Application of
  Metaheuristic Algorithms to Real-World Optimization Problems
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
E. Osaba
Esther Villar-Rodriguez
Javier Del Ser
Antonio J. Nebro
Daniel Molina
A. Latorre
Ponnuthurai Nagaratnam Suganthan
Carlos A. Coello Coello
Francisco Herrera
59
257
0
04 Oct 2024
Absolute Ranking: An Essential Normalization for Benchmarking
  Optimization Algorithms
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms
Yunpeng Jinng
Qunfeng Liu
23
0
0
06 Sep 2024
Generalizability of experimental studies
Generalizability of experimental studies
Federico Matteucci
Vadim Arzamasov
Jose Cribeiro-Ramallo
Marco Heyden
Konstantin Ntounas
Klemens Bohm
55
0
0
25 Jun 2024
Best practices for machine learning in antibody discovery and
  development
Best practices for machine learning in antibody discovery and development
Leonard Wossnig
Norbert Furtmann
Andrew Buchanan
Sandeep Kumar
Victor Greiff
25
7
0
13 Dec 2023
Random Forest Kernel for High-Dimension Low Sample Size Classification
Random Forest Kernel for High-Dimension Low Sample Size Classification
Lucca Portes Cavalheiro
Simon Bernard
J. P. Barddal
L. Heutte
13
7
0
23 Oct 2023
Semi-supervised Clustering with Two Types of Background Knowledge:
  Fusing Pairwise Constraints and Monotonicity Constraints
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints
Germán González-Almagro
Juan-Luis Suárez
Pablo Sánchez-Bermejo
J. Cano
Salvador García
14
4
0
25 Feb 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions
  Despite Fluctuations
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
26
1
0
02 Feb 2023
Differentially-Private Data Synthetisation for Efficient
  Re-Identification Risk Control
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
Tânia Carvalho
Nuno Moniz
Luís Antunes
Nitesh Chawla
34
3
0
01 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Efrén Rama-Maneiro
Pablo Monteagudo-Lago
J. Vidal
Manuel Lama
35
1
0
29 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport
Prabhant Singh
Joaquin Vanschoren
OOD
46
3
0
01 Nov 2022
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Sami U Hamdan
Bradley C. Love
G. V. Polier
Susanne Weis
H. Schwender
Simon B. Eickhoff
K. Patil
24
8
0
17 Oct 2022
TASKED: Transformer-based Adversarial learning for human activity
  recognition using wearable sensors via Self-KnowledgE Distillation
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Sungho Suh
Vitor Fortes Rey
P. Lukowicz
35
55
0
14 Sep 2022
Autism spectrum disorder classification based on interpersonal neural
  synchrony: Can classification be improved by dyadic neural biomarkers using
  unsupervised graph representation learning?
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning?
C. Gerloff
K. Konrad
Jana A. Kruppa
M. Schulte-Rüther
Vanessa Reindl
27
4
0
17 Aug 2022
A Bayesian Bradley-Terry model to compare multiple ML algorithms on
  multiple data sets
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets
Jacques Wainer
23
10
0
09 Aug 2022
Differential testing for machine learning: an analysis for
  classification algorithms beyond deep learning
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Steffen Herbold
Steffen Tunkel
36
4
0
25 Jul 2022
Investigating the Impact of Independent Rule Fitnesses in a Learning
  Classifier System
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
27
5
0
12 Jul 2022
Automated Imbalanced Classification via Layered Learning
Automated Imbalanced Classification via Layered Learning
Vítor Cerqueira
Luís Torgo
Paula Branco
C. Bellinger
21
4
0
05 May 2022
Handling Imbalanced Classification Problems With Support Vector Machines
  via Evolutionary Bilevel Optimization
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
Alejandro Rosales-Pérez
S. García
Francisco Herrera
24
15
0
21 Apr 2022
deep-significance - Easy and Meaningful Statistical Significance Testing
  in the Age of Neural Networks
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks
Dennis Ulmer
Christian Hardmeier
J. Frellsen
48
42
0
14 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders
Statistical Model Criticism of Variational Auto-Encoders
Claartje Barkhof
Wilker Aziz
DRL
27
3
0
06 Apr 2022
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach
Etor Arza
Josu Ceberio
Ekhine Irurozki
A. Pérez
33
5
0
15 Mar 2022
Learning Cluster Patterns for Abstractive Summarization
Learning Cluster Patterns for Abstractive Summarization
Sung-Guk Jo
Jeong-Jae Kim
Byung-Won On
24
3
0
22 Feb 2022
Separating Rule Discovery and Global Solution Composition in a Learning
  Classifier System
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
Michael Heider
Helena Stegherr
Jonathan Wurth
Roman Sraj
J. Hähner
4
10
0
03 Feb 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for
  Predictive Monitoring
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
Efrén Rama-Maneiro
J. Vidal
Manuel Lama
GNN
22
15
0
17 Dec 2021
Unsupervised Feature Ranking via Attribute Networks
Unsupervised Feature Ranking via Attribute Networks
U. Primozic
Blaž Škrlj
S. Džeroski
Matej Petković
22
2
0
25 Nov 2021
Data structure > labels? Unsupervised heuristics for SVM hyperparameter
  estimation
Data structure > labels? Unsupervised heuristics for SVM hyperparameter estimation
M. Cholewa
M. Romaszewski
P. Głomb
26
0
0
03 Nov 2021
How to avoid machine learning pitfalls: a guide for academic researchers
How to avoid machine learning pitfalls: a guide for academic researchers
M. Lones
VLM
FaML
OnRL
62
76
0
05 Aug 2021
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge
  Integration
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan
Hejie Cui
Carl Yang
78
40
0
11 Jul 2021
Test for non-negligible adverse shifts
Test for non-negligible adverse shifts
Vathy M. Kamulete
20
3
0
07 Jul 2021
Retweet communities reveal the main sources of hate speech
Retweet communities reveal the main sources of hate speech
Bojan Evkoski
Andraz Pelicon
I. Mozetič
Nikola Ljubesic
Petra Kralj Novak
21
20
0
31 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
29
263
0
05 May 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Lukasz Korycki
Bartosz Krawczyk
24
40
0
20 Apr 2021
A Comparative Evaluation of Quantification Methods
A Comparative Evaluation of Quantification Methods
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
MQ
41
13
0
04 Mar 2021
Learning Abstract Task Representations
Learning Abstract Task Representations
Mikhail M. Meskhi
A. Rivolli
R. G. Mantovani
R. Vilalta
30
7
0
19 Jan 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
37
67
0
02 Dec 2020
Early Anomaly Detection in Time Series: A Hierarchical Approach for
  Predicting Critical Health Episodes
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
Vítor Cerqueira
Luís Torgo
Carlos Soares
AI4TS
19
8
0
22 Oct 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji
Padhraic Smyth
M. Steyvers
39
45
0
19 Oct 2020
VEST: Automatic Feature Engineering for Forecasting
VEST: Automatic Feature Engineering for Forecasting
Vítor Cerqueira
Nuno Moniz
Carlos Soares
OOD
AI4TS
6
23
0
14 Oct 2020
Deep Learning for Predictive Business Process Monitoring: Review and
  Benchmark
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
Efrén Rama-Maneiro
J. Vidal
Manuel Lama
19
74
0
24 Sep 2020
Time series forecasting with Gaussian Processes needs priors
Time series forecasting with Gaussian Processes needs priors
Giorgio Corani
A. Benavoli
Marco Zaffalon
GP
AI4TS
20
28
0
17 Sep 2020
Deep Learning modeling of Limit Order Book: a comparative perspective
Deep Learning modeling of Limit Order Book: a comparative perspective
Antonio Briola
J. Turiel
T. Aste
34
24
0
12 Jul 2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Propositionalization and Embeddings: Two Sides of the Same Coin
Nada Lavrac
Blaž Škrlj
Marko Robnik-Šikonja
21
26
0
08 Jun 2020
Skew Gaussian Processes for Classification
Skew Gaussian Processes for Classification
A. Benavoli
Dario Azzimonti
Dario Piga
GP
35
19
0
26 May 2020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and
  Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
Jacinto Carrasco
S. García
M. Rueda
Swagatam Das
Francisco Herrera
14
408
0
21 Feb 2020
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Carola Doerr
Furong Ye
Naama Horesh
Hao Wang
O. M. Shir
Thomas Bäck
15
71
0
19 Dec 2019
The Prevalence of Errors in Machine Learning Experiments
The Prevalence of Errors in Machine Learning Experiments
M. Shepperd
Yuchen Guo
Ning Li
Mahir Arzoky
A. Capiluppi
S. Counsell
Giuseppe Destefanis
S. Swift
A. Tucker
Leila Yousefi
8
9
0
10 Sep 2019
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