ICMLBRD 2021: 15. International Conference on Machine Learning-Based Response and Defense
- 会议时间：2021-04-29 至 2021-04-30
- 会议地点： Jerusalem, Israel,Jerusalem,Israel 周边酒店预订
发票类型：
不支持开票
参会凭证：其它
| Participation Type | Early Registration Ticket Fees | Registration Ticket Fees |
|---|---|---|
| Non-Student Oral/Poster Presenter Registration | € 350 | € 400 |
| Student Oral/Poster Presenter Registration | € 300 | € 350 |
| Listener Registration | € 250 | € 300 |
| Additional Paper Publication | € 100 | |
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.
ICMLBRD 2021: 15. International Conference on Machine Learning-Based Response and Defense 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-Based Response and Defense. 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-Based Response and Defense
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning-Based Response and Defense are cordially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
ICMLBRD 2021 has teamed up with the Special Journal Issue on Machine Learning-Based Response and Defense. 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
- Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam - Feature Analysis of Predictive Maintenance Models
Zhaoan Wang - Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye - Affective Approach to Selected Ingmar Bergman Films
Grzegorz Zinkiewicz - Facial Emotion Recognition with Convolutional Neural Network Based Architecture
Koray U. Erbas - Deep Learning Based 6D Pose Estimation for Bin-Picking Using 3D Point Clouds
Hesheng Wang, Haoyu Wang, Chungang Zhuang - A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier - Bayesian Deep Learning Algorithms for Classifying COVID-19 Images
I. Oloyede - 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 - Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi - Malaria Parasite Detection Using Deep Learning Methods
Kaustubh Chakradeo, Michael Delves, Sofya Titarenko - An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento - Image Ranking to Assist Object Labeling for Training Detection Models
Tonislav Ivanov, Oleksii Nedashkivskyi, Denis Babeshko, Vadim Pinskiy, Matthew Putman - 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 - Machine Learning Development Audit Framework: Assessment and Inspection of Risk and Quality of Data, Model and Development Process
Jan Stodt, Christoph Reich
| Malik Yousef | Safed Academic College, IL |
| 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 |
| Pouria Karimi Shahri | University of North Carolina at Charlotte, 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 |
| Wei Zhang | University of Virginia, US |
| Marcos Paul Gerardo Castro | Ford Greenfield Labs, US |
| Nagdev Amruthnath | Western Michigan University, US |
| Edward John Holupka | Harvard 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 |
| Jim Blanchard | UAS Academy, US |
| Gloria Melara | California State University, Northridge, US |
| Victor Sheng | University of Central Arkansas, US |
| Kamran Mohseni | University of Colorado, US |
| Jing Hu | Franklin & Marshall College, US |
| Jung Hun Oh | Washington University in St. Louis, US |
| Zhi Wei | New Jersey Institute of Technology, US |
| Abstracts/Full-Text Paper Submission Deadline | March 16, 2021 | |
| Notification of Acceptance/Rejection | April 01, 2021 | |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline | March 29, 2021 | |
| Conference Dates | April 29-30, 2021 |
