Open Science Research Excellence

ICDLTIF 2022 : International Conference on Deep Learning Techniques for Information Fusion

Prague, Czechia
September 6 - 7, 2022

Conference Code: 22CZ09ICDLTIF

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

ICDLTIF 2022 has teamed up with the Special Journal Issue on Deep Learning Techniques for Information Fusion. 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   March 16, 2021
Notification of Acceptance/Rejection   April 1, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 5, 2022
Conference Dates   September 6 - 7, 2022

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) Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
2) Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang
3) Facial Emotion Recognition with Convolutional Neural Network Based Architecture
Koray U. Erbas
4) Bayesian Deep Learning Algorithms for Classifying COVID-19 Images
I. Oloyede
5) A Context-Centric Chatbot for Cryptocurrency Using the Bidirectional Encoder Representations from Transformers Neural Networks
Qitao Xie, Qingquan Zhang, Xiaofei Zhang, Di Tian, Ruixuan Wen, Ting Zhu, Ping Yi, Xin Li
6) Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman
7) Malaria Parasite Detection Using Deep Learning Methods
Kaustubh Chakradeo, Michael Delves, Sofya Titarenko
8) Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
9) A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
10) Automatic Number Plate Recognition System Based on Deep Learning
T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
11) A Survey of Sentiment Analysis Based on Deep Learning
Pingping Lin, Xudong Luo, Yifan Fan
12) Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting
13) A Survey of Response Generation of Dialogue Systems
Yifan Fan, Xudong Luo, Pingping Lin
14) NANCY: Combining Adversarial Networks with Cycle-Consistency for Robust Multi-Modal Image Registration
Mirjana Ruppel, Rajendra Persad, Amit Bahl, Sanja Dogramadzi, Chris Melhuish, Lyndon Smith
15) A Deep-Learning Based Prediction of Pancreatic Adenocarcinoma with Electronic Health Records from the State of Maine
Xiaodong Li, Peng Gao, Chao-Jung Huang, Shiying Hao, Xuefeng B. Ling,Yongxia Han, Yaqi Zhang, Le Zheng, Chengyin Ye, Modi Liu, Minjie Xia, Changlin Fu, Bo Jin, Karl G. Sylvester, Eric Widen

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