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ORCID1st DeLTA 2020: Paris, France
- Ana Fred, Kurosh Madani:
Proceedings of the 1st International Conference on Deep Learning Theory and Applications, DeLTA 2020, Lieusaint, Paris, France, July 8-10, 2020. ScitePress 2020, ISBN 978-989-758-441-1
Invited Speakers
- Petia Radeva:
Uncertainty Modeling within an End-to-end Framework for Food Image Analysis. DeLTA 2020: 5 - Vincent Lepetit:
3D Scene Understanding from a Single Image. DeLTA 2020: 7
Papers
- Jason Uhlemann, Oisín Cawley, Thomais Kakouli-Duarte:
Nematode Identification using Artificial Neural Networks. 13-22 - Amir Hossein Panahi, Reza Askari Moghadam, Kurosh Madani:
Deep Learning Residual-like Convolutional Neural Networks for Optic Disc Segmentation in Medical Retinal Images. 23-29 - Sheela Raju Kurupathi, Pramod Murthy, Didier Stricker:
Generation of Human Images with Clothing using Advanced Conditional Generative Adversarial Networks. 30-41 - Zhi-Chen Yan, Stephanie A. Yu:
Attention-based Text Recognition in the Wild. 42-49 - Hadi Niknam Shirvan, Reza Askari Moghadam, Kurosh Madani:
Retinal Vessel Segmentation by Inception-like Convolutional Neural Networks. 53-58 - Silvan Mertes, Andreas Margraf, Christoph Kommer, Steffen Geinitz
, Elisabeth André:
Data Augmentation for Semantic Segmentation in the Context of Carbon Fiber Defect Detection using Adversarial Learning. 59-67 - Naeem Ayoub, Peter Schneider-Kamp:
Real-time On-board Detection of Components and Faults in an Autonomous UAV System for Power Line Inspection. 68-75 - Bruno Georgevich Ferreira, Bruno Gabriel Cavalcante Lima, Tiago Figueiredo Vieira:
Visual Inspection of Collective Protection Equipment Conditions with Mobile Deep Learning Models. 76-83 - Constantin Rieder, Markus Germann, Samuel Mezger, Klaus-Peter Scherer:
Technical Sound Event Classification Applying Recurrent and Convolutional Neural Networks. 84-88 - Pu Chen, Hung-Hsuan Chen:
Accelerating Matrix Factorization by Overparameterization. 89-97 - Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen:
Multi-channel ConvNet Approach to Predict the Risk of in-Hospital Mortality for ICU Patients. 98-102 - Derek Reiman, Yang Dai:
Using Conditional Generative Adversarial Networks to Boost the Performance of Machine Learning in Microbiome Datasets. 103-110 - Boriharn Kumnunt, Ohm Sornil:
Detection of Depression in Thai Social Media Messages using Deep Learning. 111-118
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