Call for Papers – 5th Int. Workshop on Multimedia Content Analysis in Sports (MMSports’22) @ ACM Multimedia 2022

;word-spacing:0px”>5th International Workshop on Multimedia Content Analysis in Sports (MMSports'22) @ ACM Multimedia, October 10-14, 2022, Lisbon, Portugal

 

We'd like to invite you to submit your paper proposals for the 5th International Workshop on Multimedia Content Analysis in Sports to be held in Lisbon, Portugal together with ACM Multimedia 2022. The ambition of this workshop is to bring together researchers and practitioners from different disciplines to share ideas on current multimedia/multimodal content analysis research in sports. We welcome multimodal-based research contributions as well as best-practice contributions focusing on the following (and similar, but not limited to) topics:

 

– annotation and indexing in sports 

– tracking people/ athlete and objects in sports

– activity recognition, classification, and evaluation in sports

– event detection and indexing in sports

– performance assessment in sports

– injury analysis and prevention in sports

– data driven analysis in sports

– graphical augmentation and visualization in sports

– automated training assistance in sports

– camera pose and motion tracking in sports

– brave new ideas / extraordinary multimodal solutions in sports

– personal virtual (home) trainers/coaches in sports

– datasets in sports 

 

Submissions can be of varying length from 4 to 8 pages, plus additional pages for the reference pages. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of their paper. All papers will undergo the same review process and review period.

 

Please refer to the workshop website for further information: 

http://mmsports.multimedia-computing.de/mmsports2022/index.html

 

IMPORTANT DATES

Submission Due:                            July 4, 2022 

Acceptance Notification:             July 29, 2022

Camera Ready Submission:         August 21, 2022 

Workshop Date:                            TBA; either Oct 10 or Oct 14, 2022

 

 

Challenges

Second CFP – IEEE Transactions on Emerging Topics in Computing Special Issue on “Emerging Trends and Advances in Graph-based Methods and Applications”

we would like to invite  you to submit a paper to the Special Section on “Emerging Trends and Advances in Graph-based Methods and Applications”  to be published in IEEE Transactions on Emerging Topics in Computing (ISSN 21686750, IF 7.691)

 

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TOPICS OF INTEREST

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– Advances in computing and learning on graphs

– Graph Neural Networks (GNNs)

               – Graph data fusion methods and graph embedding techniques

– Efficient, parallel, and distributed processing frameworks for big graphs

– Novel dynamic, spatial, and temporal graphs for recognition and learning

– Emerging graph-based methods in computer vision

– Interactivity, explainability, and trust in graph-based learning methods

– Applications of GNNs

– Human behavior and scene understanding using graphs

– Benchmarks for GNNs

– Graph signal processing

– Application of graph data processing in biology, healthcare, transportation, natural language processing, social networks, etc.

 

For further details please visit the special issue website:

https://www.computer.org/digital-library/journals/ec/graph-based-methods

 

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IMPORTANT DATES

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Submission deadline: 30 June 2022  

First review notification: 30 November 2022

Revision submission: 15 February 2023

Second review notification: 30 April 2023 

Journal publication: first half of 2023

 

Should you have any further enquiry please do not hesitate to contact us.

 

Best regards,

 

Donatello Conte, Université de Tours, Laboratoire d’Informatique Fondamentale et Appliquée de Tours, France

Alessandro D’Amelio, Università degli Studi di Milano, Dipartimento di Informatica, Italy

Raffaella Lanzarotti, Università degli Studi di Milano, Dipartimento di Informatica, Italy

Jianyi Lin, Università Cattolica del Sacro Cuore, Dipartimento di Scienze Statistiche, Italy

Jean-Yves Ramel, Université de Tours, Laboratoire d’Informatique Fondamentale et Appliquée de Tours, France

(Guest Editors)

 

The 5th international workshop on machine learning in clinical neuroimaging

Call for Papers

The International Workshop of Machine Learning in Clinical Neuroimaging (MLCN 2022), a satellite event of MICCAI (MICCAI 2022), calls for original papers in the field of clinical neuroimaging data analysis with machine learning. The two tracks of the workshop include methodological innovations as well as clinical applications. This highly interdisciplinary topic provides an excellent platform to connect researchers of varying disciplines and to collectively advance the field in multiple directions.

In the machine learning track, we seek novel contributions that address current methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous clinical neuroscientific data using stable, scalable, and interpretable machine learning models. Topics of interest include but are not limited to:

·       Big data

·       Spatio-temporal brain data analysis

·       Structural data analysis

·       Graph theory and complex network analysis

·       Longitudinal data analysis

·       Model stability and interpretability

·       Model scalability in large neuroimaging datasets

·       Multi-source data integration and multi-view learning

·       Multi-site data analysis, from preprocessing to modeling

·       Domain adaptation, data harmonization, and transfer learning in neuroimaging

·       Unsupervised methods for stratifying brain disorders

·       Deep learning in clinical neuroimaging

·       Model uncertainty in clinical predictions

·       

In the clinical neuroimaging track, the applications of existing machine learning algorithms are evaluated to move towards precision medicine for complex brain disorders. The discovery of biological markers in medicine is an important challenge across different fields and various experimental procedures and designs are used to detect biological signatures that can be utilized for improvement in diagnostic, treatment, or for other beneficial ends. However, for most complex brain disorders, we do not have reliable biomarkers today. The application of advanced machine learning methods may help to reach this goal. Therefore, we invite the community to submit conference contributions on machine learning approaches with the goal to improve our understanding of complex brain disorders, moving the field closer to precision medicine. Topics of interest include but are not limited to:

·       Biomarker discovery 

·       Refinement of nosology and diagnostics 

·       Biological validation of clinical syndromes 

·       Treatment outcome prediction 

·       Course prediction 

·       Analysis of wearable sensors

·       Neurogenetics and brain imaging genetics

·       Mechanistic modeling

·       Brain aging

·       The presentation of clinical neuroimaging databases to stimulate developments in machine learning

·       


Submission Process:

The workshop seeks high-quality, original, and unpublished work that addresses one or more challenges described above. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (see this link for detailed author guidelines) using the CMT system here. The page limit is 8-pages (text, figures, and tables) plus up to 2-pages of references. We review the submissions in a double-blind process. Please make sure that your submission is anonymous. Accepted papers will be published in a joint proceeding with the MICCAI 2022 conference.


MLCN Special Issue at the MELBA journal:

We will invite the top accepted papers to submit an extended version of their contribution to the MLCN special issue at the Journal of Machine Learning for Biomedical Imaging (MELBA). The invited papers will go through an independent review process by the journal.

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Donders Best Paper Award:

The MLCN’s best paper award is sponsored by Donders Institute. All MLCN accepted papers will be eligible for the best paper award. The recipient of the award will be chosen by the MLCN scientific committee based on the scientific quality, novelty, and clarity of contributions. The winner will be announced at the end of the workshop and will receive a 500 USD honorarium.


Important Dates:

·       Paper submission deadline: June 25, 2022

·       Notification of Acceptance: July 23, 2022

·       Camera-ready Submission: Aug 6, 2022

·       Workshop Date: September 18, 2022

CFP: 2022 OkIP Intl Conf on Automated and Intelligent Systems, Oct 3-6, Oklahoma City, OK, USA

2022 OkIP International Conference on Automated and Intelligent Systems (CAIS)
Downtown Oklahoma City, OK, USA & Online
October 3-6, 2022
OkIP Published & SCOPUS/WoS Indexed
Submission Deadline: July 11, 2022
CAIS aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies.
CAIS will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journal publication.
>> AI, Machine Learning (ML), and Applications
– General ML | Active/Supervised Learning
– Clustering/Unsupervised Learning
– Online Learning | Learning to rank 
– Reinforcement Learning | Deep Learning(DL)
– Semi/Self Supervised Learning
– Time Series Analysis | Prediction/Forecasting
– DL Architectures/Generative-Models 
– Deep Reinforcement Learning
– Computational Learning Theory
– Bandit/Game/Statistical-Learning Theory
– Optimization Methods and Techniques
– Convex/Non-Convex Optimization
– Matrix/Tensor Methods
– Stochastic/Online Optimizations
– Non-Smooth/Composite Optimization
– Probabilistic Inference | Graphical Models
– Bayesian/Monte-Carlo Methods
– Trustworthy Machine Learning
– ML Accountability/Causality
– ML Fairness/Privacy/Robustness
– Healthcare/DNA/Transportation
– Digital-Economy | Ecommerce Security
– Sustainability | Energy | Green Technology
– Language | Image  
– Recommendation Systems
>> Agent-based, Automated, and Distributed Supports
– Multi-Agent Systems | Software Agents
– Decentralized/Distributed Intelligence
– Context-Aware Computing
– Group Decision Support Systems
– Intelligent Structures/Networks
– Design/Automation Approaches
– Sensor Networks Architectures
– Complex Manufacturing Processes
– Analytical Models | Path Planning
– Multistage Assembly Line
– Automated Inspection
>> Intelligent Systems and Applications
– Medical Nanorobotics | 
– Sensory/Embedded Systems
– Embedded Systems | Digital Manufacturing
– Optimization/Evolutionary Algorithms
– Bioinformatics/Biotechnology Applications
– Computer-Vision Applications
– Sensor-Networks Applications
– Intelligent Design | Fuzzy Systems
– Soft/Ubiquitous Computing
– Pervasive/Wearable Computing
– Intelligence Manufacturing | Microsatellite
– Cyber-physical Systems | Kinematics
>> Knowledge-based and Control Supports
– Expert/Complex Systems
– Decision-Support Systems
– Intelligent Control/Supervision Systems
– Knowledge Engineering
– Neural Networks  | Structural Optimization
– Intelligent Teleoperation
– Intelligent Shopfloor
– Collision Avoidance | Fault Diagnosis
– Object Detection and Tracking | Path Planning
– Position/Quality/Motion Control
– Predictive Control
– Preventive Maintenance | Defect Detection
>> Robotics and Vehicles
– Unmanned Vehicles/Robots
– Autonomous Vehicles/Robots
– Human-Robot Interfaces
– Human-Robot Interactions
– Intelligent Telerobotics | Service Robots
– Robotic Manipulators/Arms
– Robotic Applications
– Self-Driving Vehicles | Cloud-based Driving
– Vehicular ad hoc Networks |Traffic Detection
– Vehicle-to-Vehicle Communication
– Vehicle Platooning | Steering Systems
– Vehicle dynamics | Traffic Computing
>> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed
– Full Paper: Accomplished research results (10 pages)
– Short Paper: Work in progress/fresh developments (6 pages)
– Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages)
>> Important Dates:
– Submission Deadline: July 11, 2022
– Notification Due: August 01, 2022
– Camera-ready Due:  August 22, 2022
>> Technical Program Committee
Please feel free to contact us for any inquiries at: info@okipublishing.com

CPS&IoT’2022 Summer School and Conference: Call for Participation

You are encouraged to participate in a very special event: CPS&IoT’2022 Summer Schoolthe 3rd Summer School on Cyber-Physical Systems and Internet-of-Things that will be held in the Conference Venue: Hotel Budva, Budva, Montenegro, and online, June 7-11, 2022

 

Special Focus: Green CPS&IoT for Green World 

 

Special Theme of CPS&IoT’2022: Artificial Intelligence, Edge Computing, Architectures, Methods and Tools for Autonomous Robots, Vehicles, Assistive, Environmental and other advanced CPS&IoT 

 

CPS&IoT’2022 Summer School is collocated with: 

 

The registration to CPS&IoT’2022 Summer School entitles to free participation in CPS&IoT’2022 Conference and MECO’2022 Conference sessions

 

The two Conferences and Summer School constitute a major European conference event in CPS, IoT and embedded computing. For more information consult please the conference event web-site: 

 https://mecoconference.me/ 

 

The CPS&IoT’2022 Summer School is prepared in collaboration with IEEE, EUROMICRO, and MANT, and is possible thanks to involvement of many outstanding researchers and developers from numerous European projects and countries. 

 

A distinguishing feature of the CPS&IoT’2022 Summer School is that its lectures, demonstrations, and practical hands-on sessions

  • are based on results from numerous currently running or recently finished European R&D projects in Cyber-Physical Systems (CPS), Internet-of-Things (IoT) and Artificial Intelligence (AI), as: BRAINE, BRAIN-IoT, Comp4Drones, CPS4EU, Cybereng, EPI, InSecTT, IoT4CPS, MPM4CPS, PANORAMA, SMART4ALL, VALU3S, and several others, 

and 

  • will be given by top specialists in particular CPS, IoT and AI fields form European industry and academia, and will deliver very fresh advanced knowledge

 

The School gives a unique opportunity

  • to interact with outstanding specialists in the CPS, IoT and AI area, 

and 

  • to get acquainted with huge opportunities and impact of CPS, IoT and AI, serious issues and challenges of their development, as well as, newest concepts, advanced knowledge and modern design tools created in numerous ongoing and recently finished European R&D projects in CPS, IoT and AI. 

 

The idea of the CPS&IoT’2022 Summer School is to be a lively discussion and collaboration forum for researchers, developers and decision-makers working in the field of cyber-physical and embedded systems through serving the following main purposes

  • dissemination and discussion of project results from European projects in CPS, IoT, AI and ES; 
  • exchange of knowledge and collaboration among European projects in CPS, IoT, AI and ES; 
  • advanced training of industrial and academic researchers, developers, engineers and decision-makers in CPS, IoT, AI and ES; 
  • facilitation of international contacts and collaboration among the Summer School participants. 

 

General Program of the CPS&IoT2022 Summer School

1. Introduction 

2. Green CPS and IoT 

3. Computing and communication technologies for CPS and IoT 

4. Machine Learning and Edge Computing 

5. Modelling, design and implementation of CPS and IoT 

6. Trustworthy CPS and IoT: reliability, security and safety 

7. Energy efficient computing for CPS and IoT 

8. Closing of the CPS&IoT2022 Summer School 

 

Keynotes

Luca Benini, Integrated Systems Lab, ETH Zürich, CH 

PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration 

Letizia Jaccheri, Fac. Information Techn. and Electrical Eng., NTNU, NO 

Software for a Better Society 

Roberto Giorgi, Dept. of Information Engineering, University of Siena, IT   

Extending Performance and Reliability via Modular FPGA Clusters 

Dimitrios Serphanos and Stavros Koubias, U. Patras and ISI, Christos Koulamas, ISI, GR 

Synthesis of Runtime Monitors for Safe and Secure Industrial Systems 

 

Preliminary (yet incomplete) List of Tutorials and Presenters, and more information on the CPS&IoT’2022 Summer School can be found in the Call for Participation attached to this e-mail and on the web-page: https://mecoconference.me/ss-cpsiot2022/. 

 

Both industrial participation and academic participation are encouraged

 

Only a limited number of participants will be admitted

  

Register as soon as possible

  

To register follow the instructions at the CPS&IoT’2022 Summer School web-page: 

https://mecoconference.me/ss-cpsiot2022/#registration 

After submitting your application you will receive a report informing you on acceptance/rejection of your application. Please make the fee payment after receiving the acceptance report. 

  

In case of any problem or question related to the registration or fee payment please do not hesitate to contact Radovan Stojanović (stox@ac.me). In case of questions related to the CPS&IoT’2021 Summer School program please contact Lech Jóźwiak (L.Jozwiak@tue.nl). 

 

Please distribute this Call for Participation in the CPS&IoT’2022 Summer School within your project consortia, and among your colleagues and students

 

Best regards, 

 

Lech Jóźwiak 

Program Chairman of the CPS&IoT’2022 Summer School 

Eindhoven University of Technology, The Netherlands 

and 

Radovan Stojanović 

Organizing Chairman of the CPS&IoT’2022 Summer School 

University of Montenegro, Montenegro 

 

If you do not want to receive emails on the CPS&IoT Summer School and related events, please reply to this email or send an email to L.Jozwiak@tue.nl with subject: unsubscribe and/or body: unsubscribe. 

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