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

Computer Vision and Image Understanding ◽

10.1016/j.cviu.2017.05.004 ◽

2017 ◽

Vol 164 ◽

pp. 16-26 ◽

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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Glaucoma classification via deep learning ensembles

10.1109/inista52262.2021.9548439 ◽

2021 ◽

Author(s):

Ali Serener ◽

Sertan Serte

Keyword(s):

Deep Learning ◽

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 ◽

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 ◽

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 ◽

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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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 ◽

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 ◽

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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