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ORCIDHandbook of Deep Learning Applications, 2019
- Valentina Emilia Balas, Sanjiban Sekhar Roy
, Dharmendra Sharma, Pijush Samui:
Handbook of Deep Learning Applications. Springer 2019, ISBN 978-3-030-11478-7 - Alcides Fonseca, Bruno Cabral:
Designing a Neural Network from Scratch for Big Data Powered by Multi-node GPUs. 1-19 - Uzair Nadeem, Syed Afaq Ali Shah, Ferdous Sohel, Roberto Togneri, Mohammed Bennamoun:
Deep Learning for Scene Understanding. 21-51 - Sana Saeed, Saeeda Naz, Muhammad Imran Razzak:
An Application of Deep Learning in Character Recognition: An Overview. 53-81 - Cameron Hodges, Senjian An, Hossein Rahmani, Mohammed Bennamoun:
Deep Learning for Driverless Vehicles. 83-99 - Mehran Kamkarhaghighi, Eren Gultepe, Masoud Makrehchi:
Deep Learning for Document Representation. 101-110 - Sanjit Maitra, Ratul Ghosh, Kuntal Ghosh:
Applications of Deep Learning in Medical Imaging. 111-127 - Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Deep Learning for Marine Species Recognition. 129-145 - Peng Jiang, Serkan Saydam, Hamed Lamei Ramandi, Alan Crosky, Mojtaba Maghrebi:
Deep Molecular Representation in Cheminformatics. 147-159 - Çagri Kaymak, Aysegül Uçar:
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving. 161-200 - Kaustuv Mishra, Rachana Sathish, Debdoot Sheet:
Phase Identification and Workflow Modeling in Laparoscopy Surgeries Using Temporal Connectionism of Deep Visual Residual Abstractions. 201-217 - G. Gopakumar, Gorthi R. K. Sai Subrahmanyam:
Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines. 219-257 - Alper Bastürk, Hasan Badem, Abdullah Çaliskan, Mehmet Emin Yüksel:
Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets. 259-292 - Seyyede Zohreh Seyyedsalehi, Seyyed Ali Seyyedsalehi:
Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning? 293-318 - Peter Wlodarczak:
Springer: Deep Learning in eHealth. 319-331 - Ankita Bose, Sanjiban Sekhar Roy, Valentina Emilia Balas, Pijush Samui:
Deep Learning for Brain Computer Interfaces. 333-344 - Arindam Chaudhuri, Soumya K. Ghosh:
Reducing Hierarchical Deep Learning Networks as Game Playing Artefact Using Regret Matching. 345-362 - Dinesh Kumar, Dharmendra Sharma:
Deep Learning in Gene Expression Modeling. 363-383
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