Machine Learning – Livestream Seminar

Statistical Horizons presents Machine Learning, a 4-day seminar taught by Kevin Grimm on December 6-9.

If you would like to effectively explore your data through machine learning methods, this seminar is an excellent introduction.

You will learn the skills to:

  • Use k-fold cross-validation to select optimal tuning parameters.
  • Select variables to optimize prediction using best subsets regression, forward selection, and lasso regression.
  • Fit support vector machines and classification trees for categorization problems.
  • Optimize ensemble methods, such as bootstrap aggregation (bagging), random forests, and boosting to improve prediction at the cost of explanation.
This 4-day livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.

Please share this information with any colleagues, grad students, or others who may be interested. Email ashley@statisticalhorizons.com with any questions.

Thanks,
Ashley

CFP: 18th International conference on machine vision applications

CALL FOR PAPERS

 

18TH INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS

 

 

The eighteenth International Conference on Machine Vision Applications will be held at ACT CITY Hamamatsu, Shizuoka, Japan from July 23 through 25, 2023. The conference is sponsored by the MVA Organization, co-organized by IEICE PRMU and IPSJ SIG-CVIM, and endorsed by IAPR.

 

The aim of this conference is to bring together researchers and practitioners from both academia and industry, and to stimulate the exchange of knowledge through intensive discussions on the cutting-edge research topics.

 

Topics-of-interest include, but are not limited to, sensing, algorithms, and applications (Factory automation and robotics, Intelligent Transport Systems, Human computer interaction, biomedical, multimedia, and life) concerning the image media.

 

Papers should be prepared in the designated format in four pages, and submitted electronically by the deadline.

 

Accepted papers will be presented in English either as an oral presentation or a poster presentation.

 

Note that at least one author of an accepted paper must present their work at the conference.

Also we are considering allowing you to participate online as well.

 

Details can be found in the following Web site:

http://www.mva-org.jp/mva2023/

 

Important Dates:

– Full Paper (4 pages) Submission Deadline: March 31, 2023

– Notification of Acceptance: June 13, 2023

 

Contact:

MVA2023 Organizing Committee (mva2023-sec-AT-mva-org.jp)

 

General Chairs

– Kyoko Sudo (Toho University)

– Shunsuke Kudo (The University of Electro-Communications)

   

Program Chairs

– Ichiro Ide (Nagoya University)

– Wei-Ta Chu (National Cheng Kung University)

 

 

Special Issue “Game-Based Learning, Gamification in Education and Serious Games 2023”

Special Issue “Game-Based Learning, Gamification in Education and
Serious Games 2023″
Deadline for manuscript submissions: 30 June 2023
Guest Editor:
Dr. Carlos Vaz de Carvalho
Instituto Superior de Engenharia do Porto, Instituto Politécnico do
Porto, 4200-072 Porto, Portugal

Dr. Hariklia Tsalapatas
Department of Electrical and Computer Engineering, University of
Thessaly, 38333 Volos, Greece

Prof. Dr. Ricardo Baptista
INESC TEC – Instituto de Engenharia de Sistemas e Computadores,
Tecnologia e Ciência, ISCE Douro – Instituto Superior de Ciências da
Educação do Douro, Universidade Aberta, 1269-001 Lisboa, Portugal

Website:
https://www.mdpi.com/journal/computers/special_issues/0731GC5T5P

Dear Colleagues,

Video games are highly immersive applications that keep the players in a
state of focused motivation as they are always looking to overcome
challenges and reach goals. Video games have a huge impact on many
social, cultural, and economic aspects of our society, far beyond their
intrinsic entertainment value—new forms of interaction and communication
in online multiplayer games, the millions of viewers of professional
e-sport competitions, the huge following of gaming streamers on social
channels such as Twitch, the communities of players that are formed
around a specific title, and the size of the industry itself are just
some examples of the impact of games in modern life.

Serious games explore the impact of games and the inherent motivation
and immersion of players for other “serious” objectives, such as
education, marketing, social awareness, health and care, research, etc.
Education and training are the areas with more (successful) examples of
the use of serious games (designated more commonly as educational
games). The term game-based learning refers precisely to pedagogical
processes based on the design, development, and use of games created to
accomplish specific learning objectives. Gamification, understood as the
application of game principles, elements and mechanics in other non-game
contexts has also been extensively used in education to reinforce the
motivation of learners.

This Special Issue aims to present and discuss new advances in
game-based learning, gamification in education and serious games in
general that can enhance the effectiveness and outreach of education,
advertising, social awareness, health, policies, etc. We invite
publications referring to new scientific approaches, results from
experiments, and real-life applications. Topics of interest include but
are not limited to the following:

Serious games;
Game-based learning;
Gamification in education;
Advergames;
Exergames;
Pervasive games;
Awareness-raising games;
Models and practices with serious games;
New technologies for serious games:
Assessment and evaluation of serious games;
The psychology of serious games;
Social and collaborative games;
Security and confidentiality in serious games;
Case studies in serious games.

Dr. Carlos Vaz de Carvalho
Dr. Hariklia Tsalapatas
Prof. Dr. Ricardo Baptista
Guest Editors

CFP for Special Issue “Artificial Intelligence for Hyper and Multi-spectral Remote Sensing Image Processing”

“>The detail of the special issue is available at: https://www.grss-ieee.org/publications/call-for-papers/jstars-special-issues/

 

 

The topics of interest include the use of artificial intelligence in the following applications, but not limited to them:

·         Change detection for disaster management and assessment

·         Land use and land cover analysis

·         Environmental monitoring and assessment

·         Segmentation of RSIs

·         Processing of noisy spatial and spectral data for effective RSI analysis

·         Improving deep learning-based RSI classification using GAN

·         Object Detection in hyper spectral and multispectral images

·         Object tracking in RSI

·         Optimizing deep learning models for efficient and accurate RSI classification

 

Submission Date Start: 01 Nov 2022

Submission Date End: 31 May 2023

 

Guest Editors:

Dr. Priti Bansal, Netaji Subhas University of Technology, India, priti.bansal@nsut.ac.in

Prof. Vasile Palade, Coventry University, UK, ab5839@coventry.ac.uk

Prof. Vincenzo Piuri, University of Milan, Italy, vincenzo.piuri@unimi.it

 

 

 Regards

Dr. Priti Bansal

Special Stream in IEEE GRSL: Machine Learning in Remote Sensing towards SDGs

The Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE GRSS invite contributions for the special stream on 'Machine Learning in Remote Sensing towards Sustainable Development Goals (SDGs)” in IEEE Geoscience and Remote Sensing Letters (Impact Factor: 5.34) . The special issue will include, but will not be limited to, the following topics:

● Zero Hunger (SDG 2): Monitoring of agricultural lands, Crop Type Mapping, Delineation of agriculture field boundaries, crop classification, Estimating crop yield, Land Use – Land Cover Classification, Land use –Land cover change detection
● Good Health and Well-Being (SDG 3): Forecast/Monitoring the spread of diseases, such as malaria, dengue, etc, Eradication of Diseases in Poor Countries, and actions for reaching Global Health based on machine learning and remote sensing techniques
● Sustainable Cities and Communities (SDG 11): Monitoring Urban Settlements through Multi-modal Remote Sensing Image Analysis, Building Segmentation, Road Network Extraction, and Coastal Plain Wetland Classification.
● Climate Action (SDG 13): Machine Learning for climate change mitigation, Machine learning for climate change adaptation
● Life on Land (SDG 15): Sustainable forest management, detection, monitoring, and forecasting of natural disasters (Wildfires, Floods, Landslides, etc.)., wildlife conservation.
● Any other application of machine learning for remote sensing images with a clear contribution to one of the SDGs

All submissions will be peer-reviewed according to the IEEE GRSL guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript on mc.manuscriptcentral.com/grsl, using the Manuscript Central interface, and select the “Special Stream on Machine Learning in Remote Sensing towards the Sustainable Development Goals” manuscript type.

The submission deadline is 15th January 2023. 

We look forward to hearing from you. 
Kind Regards,
Ujjwal Verma, Dalton Lunga, Ronny 
Hänsch, Silvia Liberata Ullo and Claudio Persello (Guest Editors)
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