Single-trial subject dependent and subject independent AdaBoost classifier performance on identical input features.

Train and test accuracy for selected classifiers for different projection methods.

Gizem Dursun (14573519)
Dunja Bijelić (10168685)
Neşe Ayşit (14573522)
Burcu Kurt Vatandaşlar (14573525)
Lidija Radenović (524480)
Abdulkerim Çapar (14573528)
Bilal Ersen Kerman (14573531)
Pavle R. Andjus (8859230)
Andrej Korenić (529339)
Ufuk Özkaya (14573534)

February 2023

Train and test accuracy for selected classifiers for different projection methods.</p

Classification accuracies for the individually trained classifier and the classifier trained across subjects.

Jeroen Geuze (397463)
Marcel A. J. van Gerven (397464)
Jason Farquhar (397465)
Peter Desain (397466)

April 2013

Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p

Comparison of classification accuracies of dataset 2 with different classifiers.

Rabia Avais Khan (16955056)
Nasir Rashid (16891509)
Muhammad Shahzaib (16955059)
Umar Farooq Malik (16955062)
Arshia Arif (16955065)
Javaid Iqbal (326024)
Mubasher Saleem (16955068)
Umar Shahbaz Khan (16955071)
Mohsin Tiwana (11741765)

September 2023

Comparison of classification accuracies of dataset 2 with different classifiers.</p

Single-trial subject dependent and subject independent SVM classifier performance on identical input features.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Single-trial subject dependent and subject independent SVM classifier performance on identical in...

Performance of the subject-dependent classifiers for single-trial ERP data.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Performance of the subject-dependent classifiers for single-trial ERP data.</p

The performance of the AdaBoost classifier with 6 selected features using the Leave-one-subject-out cross-validation method.

Rui Cao (800989)
Amir M. Rahmani (10090518)
Karen L. Lindsay (8395599)

September 2022

The performance of the AdaBoost classifier with 6 selected features using the Leave-one-subject-out ...

Binary SVM and AdaBoost classifier performance for average-ERP data using identical input features.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Binary SVM and AdaBoost classifier performance for average-ERP data using identical input feature...

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cross validation.

Lina Zhang (112887)
Chengjin Zhang (548663)
Rui Gao (247606)
Runtao Yang (697712)
Qing Song (77132)

September 2016

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...

Results obtained from the AdaBoost classifier using colour models independently.

M. Milagro Fernández-Carrobles (820011)
Gloria Bueno (773393)
Oscar Déniz (2206690)
Jesús Salido (820012)
Marcial García-Rojo (820013)
Lucía González-López (820014)

October 2015

Results obtained from the AdaBoost classifier using colour models independently.</p

The performance of different classifiers associated with the attribute selection methods assessed.

Camila Viana Vieira Farhate (4827780)
Zigomar Menezes de Souza (4827795)
Stanley Robson de Medeiros Oliveira (4827789)
Rose Luiza Moraes Tavares (4919512)
João Luís Nunes Carvalho (4827792)

March 2018

The performance of different classifiers associated with the attribute selection methods assessed...

Overall performance comparison against each classifier for Drebin Dataset.

Ahmad Karim (616265)
Rosli Salleh (3179472)
Muhammad Khurram Khan (684737)

March 2016

Overall performance comparison against each classifier for Drebin Dataset.</p

The testing accuracies and execution time for six classifiers on different-scale datasets with noise.

Maoxiang Chu (6368858)
Xiaoping Liu (240534)
Rongfen Gong (6368861)
Jie Zhao (49409)

February 2019

The testing accuracies and execution time for six classifiers on different-scale datasets with noise...

Comparison of classification accuracies of dataset 1 with different classifiers.

Rabia Avais Khan (16955056)
Nasir Rashid (16891509)
Muhammad Shahzaib (16955059)
Umar Farooq Malik (16955062)
Arshia Arif (16955065)
Javaid Iqbal (326024)
Mubasher Saleem (16955068)
Umar Shahbaz Khan (16955071)
Mohsin Tiwana (11741765)

September 2023

Comparison of classification accuracies of dataset 1 with different classifiers.</p

Performance comparison of a species-specific predictor using the test dataset.

Md. Mehedi Hasan (755447)
Hiroyuki Kurata (35718)

October 2018

Performance comparison of a species-specific predictor using the test dataset.</p

Performance of sparse and non-sparse discriminant models in internal validation compared on the same dataset.

Osamu Matsuda (756159)
Yoshinori Ohara (17014574)

September 2023

Performance of sparse and non-sparse discriminant models in internal validation compared on the same...

Train and test accuracy for selected classifiers for different projection methods.

Gizem Dursun (14573519)
Dunja Bijelić (10168685)
Neşe Ayşit (14573522)
Burcu Kurt Vatandaşlar (14573525)
Lidija Radenović (524480)
Abdulkerim Çapar (14573528)
Bilal Ersen Kerman (14573531)
Pavle R. Andjus (8859230)
Andrej Korenić (529339)
Ufuk Özkaya (14573534)

February 2023

Train and test accuracy for selected classifiers for different projection methods.</p

Classification accuracies for the individually trained classifier and the classifier trained across subjects.

Jeroen Geuze (397463)
Marcel A. J. van Gerven (397464)
Jason Farquhar (397465)
Peter Desain (397466)

April 2013

Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p

Comparison of classification accuracies of dataset 2 with different classifiers.

Rabia Avais Khan (16955056)
Nasir Rashid (16891509)
Muhammad Shahzaib (16955059)
Umar Farooq Malik (16955062)
Arshia Arif (16955065)
Javaid Iqbal (326024)
Mubasher Saleem (16955068)
Umar Shahbaz Khan (16955071)
Mohsin Tiwana (11741765)

September 2023

Comparison of classification accuracies of dataset 2 with different classifiers.</p

Single-trial subject dependent and subject independent SVM classifier performance on identical input features.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Single-trial subject dependent and subject independent SVM classifier performance on identical in...

Performance of the subject-dependent classifiers for single-trial ERP data.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Performance of the subject-dependent classifiers for single-trial ERP data.</p

The performance of the AdaBoost classifier with 6 selected features using the Leave-one-subject-out cross-validation method.

Rui Cao (800989)
Amir M. Rahmani (10090518)
Karen L. Lindsay (8395599)

September 2022

The performance of the AdaBoost classifier with 6 selected features using the Leave-one-subject-out ...

Binary SVM and AdaBoost classifier performance for average-ERP data using identical input features.

Dhanya Menoth Mohan (849848)
Parmod Kumar (2563381)
Faisal Mahmood (815679)
Kian Foong Wong (849849)
Abhishek Agrawal (849850)
Mohamed Elgendi (459412)
Rohit Shukla (849851)
Natania Ang (849852)
April Ching (849853)
Justin Dauwels (677854)
Alice H. D. Chan (172767)

February 2016

Binary SVM and AdaBoost classifier performance for average-ERP data using identical input feature...

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cross validation.

Lina Zhang (112887)
Chengjin Zhang (548663)
Rui Gao (247606)
Runtao Yang (697712)
Qing Song (77132)

September 2016

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...

Results obtained from the AdaBoost classifier using colour models independently.

M. Milagro Fernández-Carrobles (820011)
Gloria Bueno (773393)
Oscar Déniz (2206690)
Jesús Salido (820012)
Marcial García-Rojo (820013)
Lucía González-López (820014)

October 2015

Results obtained from the AdaBoost classifier using colour models independently.</p

The performance of different classifiers associated with the attribute selection methods assessed.

Camila Viana Vieira Farhate (4827780)
Zigomar Menezes de Souza (4827795)
Stanley Robson de Medeiros Oliveira (4827789)
Rose Luiza Moraes Tavares (4919512)
João Luís Nunes Carvalho (4827792)

March 2018

The performance of different classifiers associated with the attribute selection methods assessed...

Overall performance comparison against each classifier for Drebin Dataset.

Ahmad Karim (616265)
Rosli Salleh (3179472)
Muhammad Khurram Khan (684737)

March 2016

Overall performance comparison against each classifier for Drebin Dataset.</p

The testing accuracies and execution time for six classifiers on different-scale datasets with noise.

Maoxiang Chu (6368858)
Xiaoping Liu (240534)
Rongfen Gong (6368861)
Jie Zhao (49409)

February 2019

The testing accuracies and execution time for six classifiers on different-scale datasets with noise...

Comparison of classification accuracies of dataset 1 with different classifiers.

Rabia Avais Khan (16955056)
Nasir Rashid (16891509)
Muhammad Shahzaib (16955059)
Umar Farooq Malik (16955062)
Arshia Arif (16955065)
Javaid Iqbal (326024)
Mubasher Saleem (16955068)
Umar Shahbaz Khan (16955071)
Mohsin Tiwana (11741765)

September 2023

Comparison of classification accuracies of dataset 1 with different classifiers.</p

Performance comparison of a species-specific predictor using the test dataset.

Md. Mehedi Hasan (755447)
Hiroyuki Kurata (35718)

October 2018

Performance comparison of a species-specific predictor using the test dataset.</p

Performance of sparse and non-sparse discriminant models in internal validation compared on the same dataset.

Osamu Matsuda (756159)
Yoshinori Ohara (17014574)

September 2023

Performance of sparse and non-sparse discriminant models in internal validation compared on the same...

Train and test accuracy for selected classifiers for different projection methods.

Gizem Dursun (14573519)
Dunja Bijelić (10168685)
Neşe Ayşit (14573522)
Burcu Kurt Vatandaşlar (14573525)
Lidija Radenović (524480)
Abdulkerim Çapar (14573528)
Bilal Ersen Kerman (14573531)
Pavle R. Andjus (8859230)
Andrej Korenić (529339)
Ufuk Özkaya (14573534)

February 2023

Train and test accuracy for selected classifiers for different projection methods.</p

Classification accuracies for the individually trained classifier and the classifier trained across subjects.

Jeroen Geuze (397463)
Marcel A. J. van Gerven (397464)
Jason Farquhar (397465)
Peter Desain (397466)

April 2013

Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p

Comparison of classification accuracies of dataset 2 with different classifiers.

Rabia Avais Khan (16955056)
Nasir Rashid (16891509)
Muhammad Shahzaib (16955059)
Umar Farooq Malik (16955062)
Arshia Arif (16955065)
Javaid Iqbal (326024)
Mubasher Saleem (16955068)
Umar Shahbaz Khan (16955071)
Mohsin Tiwana (11741765)

September 2023

Comparison of classification accuracies of dataset 2 with different classifiers.</p

Single-trial subject dependent and subject independent AdaBoost classifier performance on identical input features.

Abstract

Extracted data

Single-trial subject dependent and subject independent AdaBoost classifier performance on identical input features.

Abstract

Extracted data

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