Glaucoma classification via deep learning ensembles

2017 ◽

Vol 164 ◽

pp. 16-26 ◽

Cited By ~ 8

Author(s):

Andrew Holliday ◽

Mohammadamin Barekatain ◽

Johannes Laurmaa ◽

Chetak Kandaswamy ◽

Helmut Prendinger

Keyword(s):

Deep Learning ◽

Semantic Segmentation ◽

Compression Technique ◽

Model Compression ◽

Learning Ensembles

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Single Trial P300 Classification Using Convolutional LSTM and Deep Learning Ensembles Method

Intelligent Human Computer Interaction - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04021-5_1 ◽

2018 ◽

pp. 3-15 ◽

Cited By ~ 5

Author(s):

Raviraj Joshi ◽

Purvi Goel ◽

Mriganka Sur ◽

Hema A. Murthy

Keyword(s):

Deep Learning ◽

Single Trial ◽

Learning Ensembles ◽

Convolutional Lstm

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Deep Learning Ensembles for Hate Speech Detection

2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai50040.2020.00087 ◽

2020 ◽

Author(s):

Safa Alsafari ◽

Samira Sadaoui ◽

Malek Mouhoub

Keyword(s):

Deep Learning ◽

Hate Speech ◽

Speech Detection ◽

Learning Ensembles

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Proactive Process Adaptation Using Deep Learning Ensembles

Advanced Information Systems Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21290-2_34 ◽

2019 ◽

pp. 547-562 ◽

Cited By ~ 5

Author(s):

Andreas Metzger ◽

Adrian Neubauer ◽

Philipp Bohn ◽

Klaus Pohl

Keyword(s):

Deep Learning ◽

Process Adaptation ◽

Learning Ensembles

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Distillation of Deep Learning Ensembles as a Regularisation Method

Advances in Hybridization of Intelligent Methods - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-319-66790-4_6 ◽

2017 ◽

pp. 97-118 ◽

Cited By ~ 1

Author(s):

Alan Mosca ◽

George D. Magoulas

Keyword(s):

Deep Learning ◽

Learning Ensembles ◽

Regularisation Method

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D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation

10.1109/cvprw53098.2021.00203 ◽

2021 ◽

Author(s):

Zahra Mirikharaji ◽

Kumar Abhishek ◽

Saeed Izadi ◽

Ghassan Hamarneh

Keyword(s):

Deep Learning ◽

Skin Lesion ◽

Lesion Segmentation ◽

Learning Ensembles

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Deduplication of Advertisement Assets Using Deep Learning Ensembles

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) ◽

10.1109/icmla51294.2020.00145 ◽

2020 ◽

Author(s):

Abhijith Chakiat ◽

Nishant Oli ◽

Varun Kumar Modi

Keyword(s):

Deep Learning ◽

Learning Ensembles

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Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors

IEEE Access ◽

10.1109/access.2017.2724555 ◽

2017 ◽

Vol 5 ◽

pp. 14797-14806 ◽

Cited By ~ 48

Author(s):

Raja Majid Mehmood ◽

Ruoyu Du ◽

Hyo Jong Lee

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Human Brain ◽

Emotion Recognition ◽

Optimal Feature Selection ◽

Learning Ensembles ◽

Optimal Feature

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Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

IEEE Access ◽

10.1109/access.2020.3003810 ◽

2020 ◽

Vol 8 ◽

pp. 115041-115050 ◽

Cited By ~ 13

Author(s):

Sivaramakrishnan Rajaraman ◽

Jenifer Siegelman ◽

Philip O. Alderson ◽

Lucas S. Folio ◽

Les R. Folio ◽

...

Keyword(s):

Deep Learning ◽

X Rays ◽

Learning Ensembles

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EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8913944 ◽

2019 ◽

Author(s):

Besher Alhalabi ◽

Mohamed Medhat Gaber ◽

Shadi Basurra

Keyword(s):

Deep Learning ◽

Learning Ensembles

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Glaucoma classification via deep learning ensembles

Speedup of deep learning ensembles for semantic segmentation using a model compression technique

Single Trial P300 Classification Using Convolutional LSTM and Deep Learning Ensembles Method

Deep Learning Ensembles for Hate Speech Detection

Proactive Process Adaptation Using Deep Learning Ensembles

Distillation of Deep Learning Ensembles as a Regularisation Method

D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation

Deduplication of Advertisement Assets Using Deep Learning Ensembles

Optimal Feature Selection and Deep Learning Ensembles Method for Emotion Recognition From Human Brain EEG Sensors

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles

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