The 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO), December 13-14, 2021 (Submission Deadline extended to July 15, 2021)

July 8th, 2021 Daniela Lopez de Luise

 

Fourth International conference on

Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2021) 

December 13-14, 2021, Hanoi, Vietnam

 

Homepage: https://mco2021.event.univ-lorraine.fr/

 

The 4th international conference on Modelling, Computation and Optimization in Information Systems and Management Sciences (MCO 2021) will be held on December 13-14, 2021, in Hanoi, Vietnam.

MCO 2021 is co-organized by Computer Science and Applications Department (IA), LGIPM, University of Lorraine, France, Academy of Cryptography Techniques, Vietnam, Data science and Optimization of complex systems (DataOpt) Laboratory, International School, Vietnam National University, Hanoi, Vietnam, and Vietnam National University, Hanoi, Vietnam.

MCO 2021 covers several fields of Management Sciences and Information Systems: Computer Sciences, Information Technology, Mathematical Programming, Optimization & Operations Research, and related areas. The conference offers an excellent forum for researchers and practitioners to share their ideas and experience, and to discuss recent developments, trends, challenges in models and solutions methods for decision making in Engineering and Information Systems. MCO 2021 will be composed of several plenary lectures, invited sessions, and contributed sessions.

 

If the situation of Covid-19 does not allow the physical attendance, MCO 2021 will be held online or in hybrid format (with both physical and virtual attendance). We will constantly keep you informed about the eventual new situations.

 

 

PUBLICATIONS

 

The conference proceedings will be published in the series Advances in Intelligent Systems and Computing of Springer-Verlag and indexed by ISI Proceedings, DBLP, Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink.


Special Issues in SCI journals for the post-conference publication are planned (more details will be announced on the conference website).

 

PLENARY LECTURES (to be completed)

 

Prof. Panos M. Pardalos – Artificial Intelligence, Data Sciences, and Optimization in Economics and Finance

 

 

VENUE

 

Hanoi is Vietnam's capital and second largest city in the country. Throughout the thousand years of its eventful history, Hanoi is known as the cultural center of the country, where every dynasty has left its mark.

 

Consistently ranked among the world's top 20 destinations by TripAdvisor, Hanoi has everything you need for a great stay.

 

IMPORTANT DATES

 

Special session proposal: April 30, 2021

Paper submission deadline (extended): July 15, 2021

Author notification: August 30, 2021

Camera-ready submission: September 28, 2021

Author registration / Early registration: September 28, 2021

Conference dates: December 13-14, 2021

 

 

CONFERENCE CHAIRS

 

Hoai-An Le-Thi, University of Lorraine, France.

Huu-Hung Nguyen, Academy of Cryptography Techniques, Vietnam.

 

HONORARY CHAIR

 

Nam-Hai Nguyen, Vietnam Government Information Security Commission, Vietnam

 

 

INTERNATIONAL SCIENTIFIC COMMITTEE

 

The committee consists of more than 80 members of about 20 countries all the world over.

 

Chairs: Hoai-An Le-Thi, University of Lorraine, France

Tao Pham-Dinh, National Institute for Applied Sciences, Rouen, France

 

CALL FOR PAPER

 

MCO 2021 invites all researchers and practitioners to submit a paper (limited to 12 pages, using LNCS/LNAI style) for consideration. We encourage all types of contributions including theory, algorithms, and applications, particularly in emergent domains such as Artificial Intelligence, Data Science, Big Data, Security, Healthcare, Robotics, etc.

 

Topics include (but not limited to):

1 – Optimization and Decision Making

  • Continuous Optimization and Applications
  • Discrete Optimization, Integer Programming and Applications
  • Multiobjective Optimization, Multilevel Programming
  • Novel opportunities of Optimization for Industry and Finance: Network, Logistic, Energy, Robotics, Economics, etc.

2 – Machine Learning & Big Data

  • Machine Learning – models and methods: active learning, online learning, reinforcement learning, semi-supervised learning, unsupervised learning, etc.
  • Deep Learning
  • Big Data, Cloud Computing, etc.
  • Optimization & Huge-Scale Optimization in Machine Learning
  • Applications in Electronic Commerce, Bioinformatics, Computer Security, Web Intelligence, Intelligent Learning Database Systems, Finance, Marketing, Healthcare, Telecommunications, and other fields

3 – Computer Vision and Image Processing

  • Computed Tomography
  • Pattern Recognition
  • Audio, Image, Video Processing
  • Medical Image Processing
  • Optimization Techniques for Image Processing
  • Multimedia Computing Systems and Appliances

4 – Computer Communications and Networks

  • Cross-Layer Design and Optimization
  • Communications & Information Theory
  • Signal Processing for Communications
  • Networking Algorithms and Performance Evaluation

5 – Security, Reliability, Trust

  • Intrusion detection
  • Cryptography, Cryptanalysis
  • Security protocols
  • Quality of Services
  • Trust Management
  • Software Validation and Verification

We look forward to seeing you in MCO 2021, Hanoi, Vietnam.

 

Sincerely yours,

On behalf of MCO 2021 Organizing Chair

 

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Congreso Matemático de las Américas 2021

July 8th, 2021 Daniela Lopez de Luise
En los próximos días se desarrollará el Congreso Matemático de las Américas 2021 en formato virtual.

El MCA es el evento más destacado en la disciplina matemática de la región, del que participarán los y las principales especialistas. Esta edición es organizada por el Departamento de Matemática de la Facultad y por el Instituto de Investigaciones Matemáticas Luis Santaló (FCEN UBA CONICET).

9 de julio: Ceremonia de Premiación MCA 2021
12 al 16 de julio: Sesiones
19 al 23 de julio: Sesiones Principales

Toda la información sobre el MCA en https://www.mca2021.org

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ICCV workshop + IJCV Special Issue (TradiCV)

July 8th, 2021 Daniela Lopez de Luise

Please find attached  the Call for Papers for the 

1st International Workshop on Traditional Computer Vision in the Age of Deep Learning (TradiCV), 

which will be held (virtually) in conjunction with the International Conference on Computer Vision (ICCV). Selected papers published at the workshop will be invited to submit an extended version to a Special Issue on IJCV (stay tuned for details)

All the following information is also available at https://sites.google.com/view/tradicv

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About TradiCV

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In the last 5-10 years we have witnessed that deep learning has revolutionized Computer Vision, conquering the main scene in most vision conferences. However, a number of problems and topics for which deep-learned solutions are currently not preferable over classical ones exist, that typically involve a strong mathematical model (e.g., camera calibration and structure-from-motion).

This workshop concentrates on algorithms and methodologies that address Computer Vision problems in a “traditional” or “classic” way, in the sense that analytical/explicit models are deployed, as opposed to learned/neural ones. A particular focus will be given to traditional approaches that perform better than neural ones (for instance, in terms of generalization across different domains) or that, although performing sub-par, provide clear advantages with respect to deep learning solutions (for instance, in terms of efforts to collect data, computational requirements, power consumption or model compactness).

This workshop also encourages critical discussions about preferring a traditional solution rather than a deep learning approach and also explores relevant questions about how to bridge the gap between learning and classic knowledge. We also expect an insightful discussion about ethical implications of traditional vision in comparison to deep learning approaches.

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Call for Papers

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All the Computer Vision topics are welcome as long as the proposed method does not solely consist in training an end-to-end neural model. Neural networks are not excluded, though: the workshop welcomes learning solutions that exploit traditional computer vision as their core  or hybrid approaches that combine deep networks with classical pipelines.

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Submission

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Two types of submissions are allowed:

  • REGULAR PAPERS are meant for original, unpublished works. These papers will be limited to 8 pages (excluding references) and should follow the ICCV guidelines, including the double blind policy. These papers will undergo peer-reviewing and will be published in the workshop proceedings in case of acceptance. Papers will be selected based on the relevance to the workshop, significance and novelty of results, technical merit, and clarity of presentation.

  • PRESENTATION PAPERS are meant for papers that have been already accepted at the main conference. These papers will undergo a soft reviewing process by the chairs to assess their relevance to the workshop and won't be included in the workshop proceedings.

Submission site: https://cmt3.research.microsoft.com/TradiCV2021  

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Important Dates

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Submission opening: ~ Early July, 2021

Paper submission deadline: July 26, 2021

Notification of acceptance: August 10, 2021

Camera-ready deadline: August 17, 2021

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Invited Speakers

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Hongdong Li, Australian National University

Venu Madhav Govindu, Indian Institute of Science

Kathlén Kohn, KTH Stockholm

David Suter, Edith Cowan University

 

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Organizing Team

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Matteo Poggi, University of Bologna, Italy

Federica Arrigoni, University of Trento, Italy

Andrea Fusiello, University of Udine, Italy

Stefano Mattoccia, University of Bologna, Italy

Adrien Bartoli, Université Clermont Auvergne, France

Torsten Sattler, Czech Technical University in Prague, Czech Republic

Tomas Pajdla, Czech Technical University in Prague, Czech Republic

  

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Call for Chapter Proposals in IGI-Global Book Project: AI Applications for Disease Diagnosis and Treatment

July 8th, 2021 Daniela Lopez de Luise

I hope this e-mail finds you well! 

Currently, I am in the process of editing a forthcoming publication entitled “AI Applications for Disease Diagnosis and Treatment”, to be published by IGI Global, an international publisher of progressive academic research. I would like to take this opportunity to cordially invite you to submit your work for consideration in this publication.

I am familiar with your research interests and expertise in Machine and deep learning, and I am certain that your contribution on this topic and/or other related research areas would make an excellent addition to this publication.

Please visit https://www.igi-global.com/publish/call-for-papers/call-details/5413 

for more details regarding this publication and to submit your work. You can also find detailed manuscript formatting and submission guidelines at http://www.igi-global.com/publish/contributor-resources/before-you-write/. 

If you have any questions or concerns, please do not hesitate to contact me. 

Thank you very much for your consideration of this invitation, and I hope to hear from you by July 28, 2021!

Best wishes,

Rajae El Ouazzani

Editor

AI Applications for Disease Diagnosis and Treatment

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International Journal of Web & Semantic Technology (IJWesT)

July 7th, 2021 Daniela Lopez de Luise

ISSN: 0975 – 9026 ( Online ) 0976- 2280 ( Print )

https://ijwestjournal.tumblr.com/

Scope & Topics

International journal of Web & Semantic Technology (IJWesT) is a quarterly open access peer- reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of web & semantic technology. The growth of the World- Wide Web today is simply phenomenal. It continues to grow rapidly and new technologies, applications are being developed to support end users modern life. Semantic Technologies are designed to extend the capabilities of information on the Web and enterprise databases to be networked in meaningful ways. Semantic web is emerging as a core discipline in the field of Computer Science & Engineering from distributed computing, web engineering, databases, social networks, Multimedia, information systems, artificial intelligence, natural language processing, soft computing, and human-computer interaction. The adoption of standards like XML, Resource Description Framework and Web Ontology Language serve as foundation technologies to advancing the adoption of semantic technologies.

doc icon Call_for_papers_July_Issue_International.docx
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