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ICMLDAR 2021: 15. International Conference on Machine Learning for Document Analysis and Recognition

时间：2021-08-12 至 2021-08-13

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ICMLDAR 2021: 15. International Conference on Machine Learning for Document Analysis and Recognition
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ICMLDAR 2021: 15. International Conference on Machine Learning for Document Analysis and Recognition
会议时间：2021-08-12 至 2021-08-13
会议地点： Venice, Italy,Venice,Italy 周边酒店预订

发票类型： 不支持开票
参会凭证：其它

门票信息
Participation Type Early Registration Ticket Fees Registration Ticket Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICMLDAR 2021: 15. International Conference on Machine Learning for Document Analysis and Recognition aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning for Document Analysis and Recognition. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning for Document Analysis and Recognition

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning for Document Analysis and Recognition are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

Guidelines for Authors

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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

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

ICMLDAR 2021 has teamed up with the Special Journal Issue on Machine Learning for Document Analysis and Recognition. 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.

Application Forms

Selected Papers

  1. Feature Analysis of Predictive Maintenance Models
    Zhaoan Wang
  2. Performance Analysis of Traffic Classification with Machine Learning
    Htay Htay Yi, Zin May Aye
  3. A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
    Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
  4. Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
    Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
  5. An Application for Risk of Crime Prediction Using Machine Learning
    Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
  6. Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
    Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
  7. Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development Process
    Jan Stodt, Christoph Reich
  8. Improving Fake News Detection Using K-means and Support Vector Machine Approaches
    Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
  9. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  10. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  11. Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
    Mohammad H. Taheri, David J. Brown, Nasser Sherkat
  12. Development of Fake News Model Using Machine Learning through Natural Language Processing
    Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
  13. A Survey of Sentiment Analysis Based on Deep Learning
    Pingping Lin, Xudong Luo, Yifan Fan
  14. Uplink Throughput Prediction in Cellular Mobile Networks
    Engin Eyceyurt, Josko Zec
  15. Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
    Anne-Lena Kampen, Øivind Kure
Nasim Fallahi Polytechnic University of Turin, IT
Sajjad Ahmed University of Camerino, IT
Walaa Khalaf Università della Calabria, IT
Chee Seng Chan University of Portsmouth, UK
Rushit Dave University Of Wisconsin, Eau Claire, US
Akansha Kumar Texas A&M University, US
Mohammad Shekaramiz Utah Valley University, US
Chung Hyun Goh University of Texas at Tyler, US
Akilesh Rajavenkatanarayanan The University of Texas at Arlington, US
Mahdi Imani George Washington University, US
Arash Mahyari Florida Institute For Human and Machine Cognition, US
Samir Iqbal University of Texas Rio Grande Valley, US
Nagdev Amruthnath Western Michigan University, US
Sergio Davalos University of Washington Tacoma, US
Ayush Singhal University of Minnesota, Twin Cities, US
Naga Usha Gayathri Lokala Wright State University, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Elnaz Lashgari California State University and Claremont Graduate University, US
Shanshan Tuo xAd Inc, US
Mohammed Korayem CareerBuilder, LLC., US
Yu Zhang EMC Corporation, US
Victor Sheng University of Central Arkansas, US
Jing Hu Franklin & Marshall College, US
Jung Hun Oh Washington University in St. Louis, US
Zhi Wei New Jersey Institute of Technology, US
Jacqueline Fairley Emory University, US
Asli Celikyilmaz University of California at Berkeley, US
Mariofanna Milanova University of Arkansas at Little Rock, US
Feng Niu Automated Precision Inc., US
Kiymet Tabak Kızgın Yıldız Technical University, TR
会议日程
Abstracts/Full-Text Paper Submission Deadline   April 01, 2021
Notification of Acceptance/Rejection   April 15, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 13, 2021
Conference Dates   August 12-13, 2021
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