Open Science Research Excellence

ICDLA 2020 : International Conference on Deep Learning and Applications

Lisbon, Portugal
February 6 - 7, 2020

Conference Code: 20PT02ICDLA

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICDLA 2020 has teamed up with the Special Journal Issue on Deep Learning and Applications. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 30, 2020
Conference Dates   February 6 - 7, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Vision-Based Collision Avoidance for Unmanned Aerial Vehicles by Recurrent Neural Networks
Yao-Hong Tsai
2) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
3) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
4) Classification Based on Deep Neural Cellular Automata Model
Yasser F. Hassan
5) Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
6) Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
Adrià Arbués-Sangüesa, Coloma Ballester, Gloria Haro
7) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
8) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
9) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
10) An Intelligent Baby Care System Based on IoT and Deep Learning Techniques
Chinlun Lai, Lunjyh Jiang
11) Automatic Classification of Periodic Heart Sounds Using Convolutional Neural Network
Jia Xin Low, Keng Wah Choo
12) Deep Learning for Renewable Power Forecasting: An Approach Using LSTM Neural Networks
Fazıl Gökgöz, Fahrettin Filiz
13) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
14) Semi-Supervised Outlier Detection Using a Generative and Adversary Framework
Jindong Gu, Matthias Schubert, Volker Tresp
15) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz

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