Confusion matrix showing the results of the testing phase for the LeNet neural network.

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

Confusion matrix of a classifier based on the gold standard of class labels.

Xiaoqian Jiang (124514)
Aditya Menon (124518)
Shuang Wang (46453)
Jihoon Kim (10090)
Lucila Ohno-Machado (3907)

November 2012

Confusion matrix of a classifier based on the gold standard of class labels.</p

Confusion matrix obtained with 10-fold cross-validation for the back-propagation neural network model for the studied days after inoculation (dai).

Piotr Baranowski (715522)
Malgorzata Jedryczka (715523)
Wojciech Mazurek (715524)
Danuta Babula-Skowronska (715525)
Anna Siedliska (715526)
Joanna Kaczmarek (715527)

March 2015

The upper number in each entry of the matrix is the average number of actual recognised classes i...

Confusion matrix showing the results of the testing phase for the AlexNet neural network.

Daniel Motta (6204464)
Alex Álisson Bandeira Santos (6204467)
Ingrid Winkler (6204470)
Bruna Aparecida Souza Machado (657245)
Daniel André Dias Imperial Pereira (6204473)
Alexandre Morais Cavalcanti (6204476)
Eduardo Oyama Lins Fonseca (6204479)
Frank Kirchner (6204482)
Roberto Badaró (6204485)

January 2019

Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p

Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.

Daniel Motta (6204464)
Alex Álisson Bandeira Santos (6204467)
Ingrid Winkler (6204470)
Bruna Aparecida Souza Machado (657245)
Daniel André Dias Imperial Pereira (6204473)
Alexandre Morais Cavalcanti (6204476)
Eduardo Oyama Lins Fonseca (6204479)
Frank Kirchner (6204482)
Roberto Badaró (6204485)

January 2019

Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p

The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network.

Emmanuel Adetiba (832176)
Oludayo O. Olugbara (832177)

December 2015

The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...

The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural network.

Emmanuel Adetiba (832176)
Oludayo O. Olugbara (832177)

December 2015

The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...

A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .

Li-Pang Chen (9747423)

September 2022

A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p

Confusion matrix using resting data as test.

Javier Rasero (4591531)
Hannelore Aerts (5954783)
Marlis Ontivero Ortega (219375)
Jesus M. Cortes (5649547)
Sebastiano Stramaglia (307387)
Daniele Marinazzo (307376)

November 2018

Confusion matrix for the best classification model, which corresponded to a neural network with four...

Confusion matrix of the result of the support vector machine classifier for the diagnosis.

Paul Blanc-Durand (4246504)
Axel Van Der Gucht (747946)
Eric Guedj (3484715)
Mukedaisi Abulizi (4246510)
Mehdi Aoun-Sebaiti (4246501)
Lionel Lerman (4246513)
Antoine Verger (4246507)
François-Jérôme Authier (747953)
Emmanuel Itti (747948)

July 2017

Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p

A 14 × 14 confusion matrix: Prediction based on the LR-HeteNet method for the testing data .

Li-Pang Chen (9747423)

September 2022

A 14 × 14 confusion matrix: Prediction based on the LR-HeteNet method for the testing data .</p

Confusion matrix of the classification results after automated correction.

Richa Batra (111078)
Nathalie Harder (110094)
Sina Gogolin (111083)
Nicolle Diessl (111086)
Zita Soons (111090)
Christina Jäger-Schmidt (111095)
Christian Lawerenz (111098)
Roland Eils (90)
Karl Rohr (41937)
Frank Westermann (41848)
Rainer König (16201)

December 2012

Confusion matrix of the classification results after automated correction.</p

The confusion matrix of multi-scale segmentation and supervised classification result.

Hongchun Zhu (3162150)
Lijie Cai (3162153)
Haiying Liu (135547)
Wei Huang (36889)

June 2016

The confusion matrix of multi-scale segmentation and supervised classification result.</p

Confusion matrix of each model with different proportions of the training set.

Qiao Sun (208432)
Jigan Wang (16949351)
Hao Zhang (15339)
Ting Wen (367995)

September 2023

Confusion matrix of each model with different proportions of the training set.</p

Confusion matrix of cell classification task performed by the convolutional neural network using model b.

Ronald Wihal Oei (6454058)
Guanqun Hou (6416799)
Fuhai Liu (6416801)
Jin Zhong (9647)
Jiewen Zhang (5461778)
Zhaoyi An (6416802)
Luping Xu (6454061)
Yujiu Yang (6416805)

March 2019

Confusion matrix of cell classification task performed by the convolutional neural network using mod...

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

Confusion matrix of a classifier based on the gold standard of class labels.

Xiaoqian Jiang (124514)
Aditya Menon (124518)
Shuang Wang (46453)
Jihoon Kim (10090)
Lucila Ohno-Machado (3907)

November 2012

Confusion matrix of a classifier based on the gold standard of class labels.</p

Confusion matrix obtained with 10-fold cross-validation for the back-propagation neural network model for the studied days after inoculation (dai).

Piotr Baranowski (715522)
Malgorzata Jedryczka (715523)
Wojciech Mazurek (715524)
Danuta Babula-Skowronska (715525)
Anna Siedliska (715526)
Joanna Kaczmarek (715527)

March 2015

The upper number in each entry of the matrix is the average number of actual recognised classes i...

Confusion matrix showing the results of the testing phase for the AlexNet neural network.

Daniel Motta (6204464)
Alex Álisson Bandeira Santos (6204467)
Ingrid Winkler (6204470)
Bruna Aparecida Souza Machado (657245)
Daniel André Dias Imperial Pereira (6204473)
Alexandre Morais Cavalcanti (6204476)
Eduardo Oyama Lins Fonseca (6204479)
Frank Kirchner (6204482)
Roberto Badaró (6204485)

January 2019

Confusion matrix showing the results of the testing phase for the AlexNet neural network.</p

Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.

Daniel Motta (6204464)
Alex Álisson Bandeira Santos (6204467)
Ingrid Winkler (6204470)
Bruna Aparecida Souza Machado (657245)
Daniel André Dias Imperial Pereira (6204473)
Alexandre Morais Cavalcanti (6204476)
Eduardo Oyama Lins Fonseca (6204479)
Frank Kirchner (6204482)
Roberto Badaró (6204485)

January 2019

Confusion matrix showing the results of the testing phase for the GoogLeNet neural network.</p

The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network.

Emmanuel Adetiba (832176)
Oludayo O. Olugbara (832177)

December 2015

The confusion matrix of the computational method based on the Z-curve, HOG and MLP neural network...

The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural network.

Emmanuel Adetiba (832176)
Oludayo O. Olugbara (832177)

December 2015

The confusion matrix of the computational method based on the tetrahedron, HOG and MLP neural net...

A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .

Li-Pang Chen (9747423)

September 2022

A 14 × 14 confusion matrix: Prediction based on the MLR-HomoNet method for the testing data .</p

Confusion matrix using resting data as test.

Javier Rasero (4591531)
Hannelore Aerts (5954783)
Marlis Ontivero Ortega (219375)
Jesus M. Cortes (5649547)
Sebastiano Stramaglia (307387)
Daniele Marinazzo (307376)

November 2018

Confusion matrix for the best classification model, which corresponded to a neural network with four...

Confusion matrix of the result of the support vector machine classifier for the diagnosis.

Paul Blanc-Durand (4246504)
Axel Van Der Gucht (747946)
Eric Guedj (3484715)
Mukedaisi Abulizi (4246510)
Mehdi Aoun-Sebaiti (4246501)
Lionel Lerman (4246513)
Antoine Verger (4246507)
François-Jérôme Authier (747953)
Emmanuel Itti (747948)

July 2017

Confusion matrix of the result of the support vector machine classifier for the diagnosis.</p

A 14 × 14 confusion matrix: Prediction based on the LR-HeteNet method for the testing data .

Li-Pang Chen (9747423)

September 2022

A 14 × 14 confusion matrix: Prediction based on the LR-HeteNet method for the testing data .</p

Confusion matrix of the classification results after automated correction.

Richa Batra (111078)
Nathalie Harder (110094)
Sina Gogolin (111083)
Nicolle Diessl (111086)
Zita Soons (111090)
Christina Jäger-Schmidt (111095)
Christian Lawerenz (111098)
Roland Eils (90)
Karl Rohr (41937)
Frank Westermann (41848)
Rainer König (16201)

December 2012

Confusion matrix of the classification results after automated correction.</p

The confusion matrix of multi-scale segmentation and supervised classification result.

Hongchun Zhu (3162150)
Lijie Cai (3162153)
Haiying Liu (135547)
Wei Huang (36889)

June 2016

The confusion matrix of multi-scale segmentation and supervised classification result.</p

Confusion matrix of each model with different proportions of the training set.

Qiao Sun (208432)
Jigan Wang (16949351)
Hao Zhang (15339)
Ting Wen (367995)

September 2023

Confusion matrix of each model with different proportions of the training set.</p

Confusion matrix of cell classification task performed by the convolutional neural network using model b.

Ronald Wihal Oei (6454058)
Guanqun Hou (6416799)
Fuhai Liu (6416801)
Jin Zhong (9647)
Jiewen Zhang (5461778)
Zhaoyi An (6416802)
Luping Xu (6454061)
Yujiu Yang (6416805)

March 2019

Confusion matrix of cell classification task performed by the convolutional neural network using mod...

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

Confusion matrix of a classifier based on the gold standard of class labels.

Xiaoqian Jiang (124514)
Aditya Menon (124518)
Shuang Wang (46453)
Jihoon Kim (10090)
Lucila Ohno-Machado (3907)

November 2012

Confusion matrix of a classifier based on the gold standard of class labels.</p

Confusion matrix obtained with 10-fold cross-validation for the back-propagation neural network model for the studied days after inoculation (dai).

Piotr Baranowski (715522)
Malgorzata Jedryczka (715523)
Wojciech Mazurek (715524)
Danuta Babula-Skowronska (715525)
Anna Siedliska (715526)
Joanna Kaczmarek (715527)

March 2015

The upper number in each entry of the matrix is the average number of actual recognised classes i...

Confusion matrix showing the results of the testing phase for the LeNet neural network.

Abstract

Extracted data

Confusion matrix showing the results of the testing phase for the LeNet neural network.

Abstract

Extracted data

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