Registration for the 2023 IEEE Conference on Games opened (21-24 August 2023, Boston, USA)
July 5th, 2023 
Daniela Lopez de Luise 
CfP – ACM MMSports’23 @ ACM Multimedia, Oct 29 – Nov 3, 2023, Ottawa, Canada
July 5th, 2023 Daniela Lopez de Luise Digital Data Processing 2023
July 5th, 2023 Daniela Lopez de Luise Third International Conference on Digital Data Processing
University of Bedfordshire
Luton. UK
November 27-29, 2023
Hybrid mode- Virtual/Physical
www.socio.org.uk/ddp
IEEE CPS will publish the proceedings
Data grows voluminously and exponentially with heterogeneity and complexity. A single organisation or industry processes over a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyse and process data more efficiently, where Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. Data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies is a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements.
Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyse voluminous datasets. Analysing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from data analysis can enable the production of critical information for several domains.
Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration.
The proposed conference will discuss topics not limited to
Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data Ecosystem
Business Analytics
New data analytics techniques
Physical and management challenges
Privacy and Security
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
Machine learning
Network optimization
Data in Biomedical Engineering
Data in Materials science and mechanics
Data handling and applications in domains
Wireless Networking Data Management
Data of Electronic & Embedded Systems
Multi-media Systems Data
Artificial Intelligence Models and Systems Data
E-Computing Data
Renewable Energies Data
Publications
The IEEE Xplore will publish the DDP papers. Besides modified versions of the papers will appear in the following journals.
1. Journal on Data Semantics
2. Technologies
3. Data Technologies and Applications
4. Journal of Digital Information Management
5. International Journal of Computational Linguistics
6. Journal of Computational Methods in Sciences and Engineering
Important Dates
Full Paper Submission: September 10, 2023
Notification of Acceptance/Rejection: October 10, 2023
Registration Due: November 10, 2023
Camera Ready Due: November 10, 2023
Workshops/Tutorials/Demos: November 28, 2023
Main conference: November 27-29, 2023
Post-conference proceedings: December 20, 2023
General Chair
Ezendu Ariwa, Chair UK& RI IEEE TEMS, UK
Program Chairs
Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, Portugal
Simon Fong, University of Macau, Macau
Program Co-Chairs
Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico –
Dion Goh, Nanyang Technological University, Singapore
Publicity Chair
Hathairat Ketmaneechairat, King Mongkut’s University of Technology, North Bangkok, Thailand
Paper Submission: http://socio.org.uk/ddp/paper-submission/
Contact: stm@socio.org.uk
Computer Vision and Machine Learning (CVML) email list www page: https://lists.auth.gr/sympa/info/cvml
1) To post a message (in English) to CVML please: send an email to cvml@lists.auth.gr with subject: [Topic] Your_subject
[Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News].
2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please:
send an empty email to sympa@lists.auth.gr with subject: subscribe cvml@lists.auth.gr your_name
3) To unsubscribe any time, send an empty email to sympa@lists.auth.gr with subject: unsubscribe cvml@lists.auth.gr
4) If you have any questions related to CVML list please contact: koroniioanna@csd.auth.gr List moderation is supervised by Prof. I.Pitas (pitas@csd.auth.gr).
AI4DH: Artificial Intelligence for Digital Humanities Workshop (in conjunction with ICIAP 2023) – Deadline Extended to July 7th!
July 5th, 2023 Daniela Lopez de Luise ********************************
Call for Papers
“AI4DH: Artificial Intelligence for Digital Humanities”
International Workshop at ICIAP 2023
https://sites.google.com/view/ai4dh2023
********************************
=== DEADLINE EXTENDED to July 7th! ====
(11:59 p.m. AoE)
Apologies for multiple posting
Please distribute this call to interested parties
AIMS AND SCOPE
===============
Researchers have explored the benefits and applications of modern Artificial Intelligence (AI) algorithms in different scenarios. Digital Humanities (DH) is a newly-emerging field that brings together humanities, social, and computer scientists to work both on fundamental and applied research in humanities. The large-scale cultural and societal implications of these changes and the ethical questions that raise offer an important challenge as techniques in Artificial Intelligence and Data Learning have matured. Thus, there has been a wide range of computational tools, methods, and models that have enabled humanities to conduct research at a scale once thought impossible.
The goal of this workshop is to encourage and highlight novel strategies and original research in applying Artificial Intelligence techniques in digital humanities research such as data discovery, digital data creation, management, data analytics (including text mining, image mining and data visualization) in literature, linguistics, culture heritage, media, social science, history, music and acoustics, and Artificial Intelligence for Digital Humanities in pedagogy and academic curricula. This Workshop aims not only to serve as a venue for presenting work in this area but also to build a community and share information in this new field.
TOPICS
=======
The workshop calls for submissions addressing, but not limited to, the following topics:
-
AI for Visual DH
-
Artworks cross-modal retrieval
-
AI for art generation
-
Automatic metadata extraction from artworks
-
AI for video analysis
-
AI for artistic images analysis
-
AI for DH Preservation and Enhancement
-
AI in virtual systems for education and tourism
-
AI in museums and cultural tourism
-
Museum and Service Robotics
-
Music and visual art-induced emotion recognition
-
Automatic storytelling of art
-
Fundation AI Applications to DH
-
AI in digital cultural content/object analysis
-
AI in content–based classification and retrieval
-
AI in Semantics and Knowledge Representation
-
Intelligent methods in Spatial and Temporal Analysis
-
Intelligent crowdsourcing approaches
-
AI & Extended reality (XR) for DH
-
XR platforms for Education purposes and edu-/infotainment
-
XR interfaces for Cultural Heritage dissemination
-
Collaborative XR interfaces
-
Metaverse, Avatars, Agents and NFT
-
Ethics & social implications
IMPORTANT DATES
=================
-
Paper Submission Deadline (extended to): June 23th, 2023 July 7th, 2023
-
Decision to Authors: July 30th, 2023
-
Camera ready papers due: August 15th, 2023
-
Workshop date: September 11th, 2023
SUBMISSION GUIDELINES
======================
All the papers should be submitted at: https://cmt3.research.microsoft.com/ICIAPDHH2023, selecting the “AI for Digital Humanities (AI4DH)” track.
The maximum number of pages is 12 including references. Papers will be selected through a double-blind review process, taking into account originality, significance, clarity, soundness, relevance and technical contents.
Authors can find complete instructions of how to format their papers at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Accepted papers will be included in the ICIAP 2023 Workshop Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS).
Each accepted paper must be covered by at least one registered author. Registration can be either for the full event at a regular rate or just for workshops and tutorials.
WORKSHOP MODALITY
====================
The workshop will be held in conjunction with the International Conference on Image Analysis and Processing (ICIAP 2023).
ORGANIZING COMMITTEE
======================
-
Lorenzo Baraldi, University of Modena and Reggio Emilia, Italy
-
Silvia Cascianelli, University of Modena and Reggio Emilia, Italy
-
Marcella Cornia, University of Modena and Reggio Emilia, Italy
-
Francesca Matrone, Politecnico di Torino, Italy
-
Marina Paolanti, University of Macerata, Italy
-
Roberto Pierdicca, Università Politecnica delle Marche, Italy
3rd International Joint Conference on Learning and Reasoning (IJCLR 2023), Bari (Italy), 13-15 November 2023 (EXTENDED DEADLINES)
July 5th, 2023 Daniela Lopez de Luise 3rd International Joint Conference on Learning and Reasoning (IJCLR 2023)
13-15 November 2023, Bari, Italy
https://ijclr2023.di.uniba.it/
The rapid progress in machine learning has been the primary reason for a fresh look
in the transformative potential of AI as a whole during the past decade.
A crucial milestone for taking full advantage of this potential is the endowment of
algorithms that learn from experience with the ability to consult existing
knowledge and reason with what has already been learned.
Integrating learning and reasoning constitutes one of the key open questions in AI,
and holds the potential of addressing many of the shortcomings of contemporary AI
approaches, including the black-box nature and the brittleness of deep learning,
and the difficulty to adapt knowledge representation models in the light of new
data.
Integrating learning and reasoning calls for approaches that combine knowledge
representation and machine reasoning techniques with learning algorithms from the
fields of neural, statistical and relational learning.
Three international conferences and workshops addressing such research topics join
forces in the 3rd International Conference on Learning & Reasoning (IJCLR 2023):
– The 32nd International Conference on Inductive Logic Programming (ILP)
– The 13th International Workshop on Approaches and Applications of Inductive
Programming (AAIP)
– The 1st International Workshop on Cognitive AI (CogAI)
IJCLR aims at bringing together researchers and practitioners working on various
aspects of learning & reasoning, via presentation of cutting-edge research on
topics of special interest to the participating conferences/workshops. In addition
to each of the three events' individual programs, which will be held in parallel,
IJCLR aims to promote collaboration and cross-fertilization between different
approaches and methodologies to integrating learning & reasoning, via joint plenary
keynotes/invited talks, panel discussions and poster sessions.
IJCLR 2023 sincerely invite your paper submissions to one of the following tracks:
Journal Track