Comparative of classification performance between our Convolutional Neural Network (CNN) model and the Inception v3 model.

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in classifying colonies on the basis of their morphological, textural, and combined features.

Muthu Subash Kavitha (3392144)
Takio Kurita (180160)
Soon-Yong Park (3597461)
Sung-Il Chien (3597464)
Jae-Sung Bae (1532254)
Byeong-Cheol Ahn (441259)

December 2017

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in c...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparison of our own model (convolutional neural network) and the Inception v3 model.

Jin Mo Ahn (6014141)
Sangsoo Kim (2998)
Kwang-Sung Ahn (6014144)
Sung-Hoon Cho (6014147)
Kwan Bok Lee (6014150)
Ungsoo Samuel Kim (6014153)

November 2018

Comparison of our own model (convolutional neural network) and the Inception v3 model.</p

Classification performances obtained with four CNN models for the real-world testing dataset.

Qiang Zhai (7524455)
Chun Ye (265823)
Shuang Li (146392)
Jizhong Liu (4068124)
Zhiming Guo (6519626)
Ruzhi Chang (14159863)
Jing Hua (198347)

November 2022

Classification performances obtained with four CNN models for the real-world testing dataset.</p

Performance comparison of CNN models with different region sizes and other baseline models.

Hong-Jie Dai (36448)
Jitendra Jonnagaddala (5859893)

October 2018

Performance comparison of CNN models with different region sizes and other baseline models.</p

Comparison of achieved F1-scores across all tested phenotypes.

Sebastian Gehrmann (343359)
Franck Dernoncourt (4856734)
Yeran Li (408768)
Eric T. Carlson (4856737)
Joy T. Wu (4856728)
Jonathan Welt (4856725)
John Foote Jr. (4856731)
Edward T. Moseley (4856746)
David W. Grant (4856740)
Patrick D. Tyler (4856743)
Leo A. Celi (4856749)

February 2018

The left three models directly classify from text, the right two models are concept-extraction ba...

Comparison metrics among CNN, Inception-V3 with a single image, and Inception-V3 with multiple images.

Chanki Yu (4919437)
Sejung Yang (793510)
Wonoh Kim (4919434)
Jinwoong Jung (4919431)
Kee-Yang Chung (3129555)
Sang Wook Lee (433729)
Byungho Oh (3129564)

March 2018

Inception-V3 (s) corresponds to Inception-V3 with a single image and Inception-V3 (m) corresponds...

Deep learning model performance.

Michael Caiola (6157100)
Avaneesh Babu (16503054)
Meijun Ye (6809189)

July 2023

ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...

Performance of the V-CNN model with regard to accuracy and loss.

Muthu Subash Kavitha (3392144)
Takio Kurita (180160)
Soon-Yong Park (3597461)
Sung-Il Chien (3597464)
Jae-Sung Bae (1532254)
Byeong-Cheol Ahn (441259)

December 2017

The model’s performance in classifying the colonies was based on (A) morphological, (B) textural,...

Comparison of experimental results of four convolutional neural networks in direct training mode and fine-tuning training mode.

Le Bu (419370)
Caiping Hu (652532)
Xiuliang Zhang (1819558)

January 2024

Comparison of experimental results of four convolutional neural networks in direct training mode and...

Correspondence between model dissimilarities and biological dissimilarities (IT responses and human judgement-based dissimilarities) for the shape groups.

Ioannis Kalfas (5900219)
Kasper Vinken (5900222)
Rufin Vogels (338339)

November 2018

(A, B). Gray curves show the Pearson correlation coefficients between the mean neural distances and ...

Comparison between the general convolutional neural network and the proposed model.

Takeshi Ishida (11113536)

August 2021

Comparison between the general convolutional neural network and the proposed model.</p

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Validation scores on trained convolutional neural network models for TF and TI classification tasks.

Matthew C. Kim (6320942)
Kazunori Okada (137906)
Alexander M. Ryner (6320945)
Abdou Amza (106575)
Zerihun Tadesse (325347)
Sun Y. Cotter (5628527)
Bruce D. Gaynor (106612)
Jeremy D. Keenan (106608)
Thomas M. Lietman (106610)
Travis C. Porco (116223)

February 2019

Validation scores on trained convolutional neural network models for TF and TI classification tasks....

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in classifying colonies on the basis of their morphological, textural, and combined features.

Muthu Subash Kavitha (3392144)
Takio Kurita (180160)
Soon-Yong Park (3597461)
Sung-Il Chien (3597464)
Jae-Sung Bae (1532254)
Byeong-Cheol Ahn (441259)

December 2017

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in c...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparison of our own model (convolutional neural network) and the Inception v3 model.

Jin Mo Ahn (6014141)
Sangsoo Kim (2998)
Kwang-Sung Ahn (6014144)
Sung-Hoon Cho (6014147)
Kwan Bok Lee (6014150)
Ungsoo Samuel Kim (6014153)

November 2018

Comparison of our own model (convolutional neural network) and the Inception v3 model.</p

Classification performances obtained with four CNN models for the real-world testing dataset.

Qiang Zhai (7524455)
Chun Ye (265823)
Shuang Li (146392)
Jizhong Liu (4068124)
Zhiming Guo (6519626)
Ruzhi Chang (14159863)
Jing Hua (198347)

November 2022

Classification performances obtained with four CNN models for the real-world testing dataset.</p

Performance comparison of CNN models with different region sizes and other baseline models.

Hong-Jie Dai (36448)
Jitendra Jonnagaddala (5859893)

October 2018

Performance comparison of CNN models with different region sizes and other baseline models.</p

Comparison of achieved F1-scores across all tested phenotypes.

Sebastian Gehrmann (343359)
Franck Dernoncourt (4856734)
Yeran Li (408768)
Eric T. Carlson (4856737)
Joy T. Wu (4856728)
Jonathan Welt (4856725)
John Foote Jr. (4856731)
Edward T. Moseley (4856746)
David W. Grant (4856740)
Patrick D. Tyler (4856743)
Leo A. Celi (4856749)

February 2018

The left three models directly classify from text, the right two models are concept-extraction ba...

Comparison metrics among CNN, Inception-V3 with a single image, and Inception-V3 with multiple images.

Chanki Yu (4919437)
Sejung Yang (793510)
Wonoh Kim (4919434)
Jinwoong Jung (4919431)
Kee-Yang Chung (3129555)
Sang Wook Lee (433729)
Byungho Oh (3129564)

March 2018

Inception-V3 (s) corresponds to Inception-V3 with a single image and Inception-V3 (m) corresponds...

Deep learning model performance.

Michael Caiola (6157100)
Avaneesh Babu (16503054)
Meijun Ye (6809189)

July 2023

ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...

Performance of the V-CNN model with regard to accuracy and loss.

Muthu Subash Kavitha (3392144)
Takio Kurita (180160)
Soon-Yong Park (3597461)
Sung-Il Chien (3597464)
Jae-Sung Bae (1532254)
Byeong-Cheol Ahn (441259)

December 2017

The model’s performance in classifying the colonies was based on (A) morphological, (B) textural,...

Comparison of experimental results of four convolutional neural networks in direct training mode and fine-tuning training mode.

Le Bu (419370)
Caiping Hu (652532)
Xiuliang Zhang (1819558)

January 2024

Comparison of experimental results of four convolutional neural networks in direct training mode and...

Correspondence between model dissimilarities and biological dissimilarities (IT responses and human judgement-based dissimilarities) for the shape groups.

Ioannis Kalfas (5900219)
Kasper Vinken (5900222)
Rufin Vogels (338339)

November 2018

(A, B). Gray curves show the Pearson correlation coefficients between the mean neural distances and ...

Comparison between the general convolutional neural network and the proposed model.

Takeshi Ishida (11113536)

August 2021

Comparison between the general convolutional neural network and the proposed model.</p

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Validation scores on trained convolutional neural network models for TF and TI classification tasks.

Matthew C. Kim (6320942)
Kazunori Okada (137906)
Alexander M. Ryner (6320945)
Abdou Amza (106575)
Zerihun Tadesse (325347)
Sun Y. Cotter (5628527)
Bruce D. Gaynor (106612)
Jeremy D. Keenan (106608)
Thomas M. Lietman (106610)
Travis C. Porco (116223)

February 2019

Validation scores on trained convolutional neural network models for TF and TI classification tasks....

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in classifying colonies on the basis of their morphological, textural, and combined features.

Muthu Subash Kavitha (3392144)
Takio Kurita (180160)
Soon-Yong Park (3597461)
Sung-Il Chien (3597464)
Jae-Sung Bae (1532254)
Byeong-Cheol Ahn (441259)

December 2017

Five-fold cross-validation of the performance of the proposed V-CNN model and SVM classifier in c...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparison of convolutional neural network model pose predictions on different datasets: Convolutional neural network models trained on different datasets and average pose prediction scores on real data from the three experiments combined.

Aniket Ravan (3174171)
Ruopei Feng (6041111)
Martin Gruebele (667686)
Yann R. Chemla (17028453)

October 2023

Comparison of convolutional neural network model pose predictions on different datasets: Convolution...

Comparative of classification performance between our Convolutional Neural Network (CNN) model and the Inception v3 model.

Abstract

Extracted data

Comparative of classification performance between our Convolutional Neural Network (CNN) model and the Inception v3 model.

Abstract

Extracted data

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