IUKM 2023 — deadline extended to June 15!

June 6th, 2023 Daniela Lopez de Luise

 

IUKM 2023: The Tenth International Symposium on INTEGRATED

UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING

 

Kanazawa, JAPAN, November 02-04, 2023

 

Conference website:

https://www.jaist.ac.jp/IUKM/IUKM2023/

 

Submission link:

https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FIUKM2023

 

Submission deadline: June 15, 2023 — extended!

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The International Symposium on Integrated Uncertainty in Knowledge

Modelling and Decision Making (IUKM) aims to provide a forum for

exchanges of research results, ideas for and experience of

application among researchers and practitioners involved with all

aspects of uncertainty management and application.

 

The Tenth International Symposium on Integrated Uncertainty in

Knowledge Modelling and Decision Making (IUKM 2023) will be held in

Kanazawa, Japan during 02-04 November, 2023, and be jointly

organized by Japan Advanced Institute of Science and Technology

(JAIST), University of Science (Vietnam National University Ho Chi

Minh City), Vietnam, and Osaka University, Japan.

 

Submission Guidelines:

 

All papers must be original and not simultaneously submitted to

another journal or conference. The authors are invited to submit

their full papers by May 15, 2023. The submissions will be

peer-reviewed for originality and scientific quality. Authors are

requested to prepare their papers in the Springer format.

Submissions should not exceed 12 pages and must be submitted as PDF

electronically through the conference's CMT submission page.

 

List of Topics

 

Relevant topics for the IUKM 2023 Symposium include (but are not

limited to) the following:

 

— Theory and Methodology

 

• Uncertainty formalisms: Bayesian probability, Dempster-Shafer

theory, imprecise probability, random sets, rough sets, fuzzy sets

and interval methods

 

• Modelling uncertainty and inconsistency in big data

 

• Learning and reasoning with uncertainty

 

• Logics for reasoning under uncertainty

 

• Uncertainty modelling in machine learning and deep learning

 

• Information fusion and knowledge integration in uncertain

environments

 

• Decision making under various types of uncertainty

 

• Aggregation operators for decision making

 

• Copulas for dependence modelling

 

• Granular and soft computing

 

• Computational intelligence

 

— Application

 

• Data mining and knowledge discovery

 

• Multi-agent reinforcement learning

 

• Ontology engineering and Semantic Web

 

• Privacy preserving data analysis

 

• Intelligent data analysis and modelling

 

• Agents and argumentation

 

• Natural language processing

 

• Medical informatics and bioinformatics

 

• Ranking and recommendation systems

 

• Big data and cloud computing

 

• Social network analysis and mining

 

• Sensor fusion

 

• System identification and modelling

 

• Diagnosis and reliability

 

• Decision support systems

 

• Kansei/affective engineering

 

• Service computing

 

• Engineering management

 

• Supply chain management

 

• Environmental management

 

• Economics and econometrics

 

• Statistics and Applications

 

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Publication

 

As done in previous editions, the proceedings of IUKM 2023 will be

published by Springer-Verlag in the Lecture Notes in Artificial

Intelligence series, and be available at the Conference.

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General Chairs:

 

Masahiro Inuiguchi (Osaka University, Japan)

 

Youji Kohda (Japan Advanced Institute of Science and Technology,

Japan)

 

Program Chairs:

 

Van-Nam Huynh (Japan Advanced Institute of Science and Technology,

Japan)

 

Bac H. Le (University of Science, Vietnam National University

(VNU)-Ho Chi Minh City, Vietnam)

 

Katsuhiro Honda (Osaka Prefecture University, Japan)

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Workshop on DeepFake Analysis and Detection at ICCV 2023

June 6th, 2023 Daniela Lopez de Luise
********************************
ICCV 2023 Workshop on DeepFake Analysis and Detection
********************************
Organized in conjunction with ICCV 2023
=== SUBMISIONS ARE OPEN!!! ====
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BigDat 2023 Summer: early registration June 19

June 6th, 2023 Daniela Lopez de Luise
7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://bigdat.irdta.eu/2023su

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Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice – IRDTA
Brussels/London

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Early registration: June 19, 2023

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FRAMEWORK:

BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested.

SCOPE:

BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 1 keynote lecture, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKER:

Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange

PROFESSORS AND COURSES:

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data

Marcelo Bertalmío (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks

Gianluca Bontempi (Université Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference

Altan Çakir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark

Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis

Ravi Kumar (Google), [intermediate/advanced] Differential Privacy

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences

José M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning

Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks

Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics

Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning

Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data

Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science

Sebastián Ventura (University of Córdoba), [intermediate] Supervised Descriptive Pattern Mining

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Aridane González González (Las Palmas de Gran Canaria)
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://bigdat.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://bigdat.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria – Fundación Parque Científico Tecnológico

Universitat Rovira i Virgili

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3rd Int. Joint Conference on Learning and Reasoning (IJCLR 2023), 13-15 November 2023, Bari, Italy

June 6th, 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
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CFP: 32nd International Conference on Inductive Logic Programming

June 6th, 2023 Daniela Lopez de Luise

Call for Papers: 32nd International Conference on Inductive Logic Programming, ILP @IJCLR2023.

The Conference will be held within The third International Joint Conference on Learning & Reasoning (IJCLR2023) at the University of Bari “Aldo Moro”, Bari, Italy,13-15 November 2023.

https://ilp2023.unife.it/

We solicit submissions in all areas of learning in logic and multi-relational data mining. Areas of interest include, but are not limited to:

  • Theory of ILP, foundations of logical & relational learning, computational learning theory.

  • Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.

  • Statistical relational learning, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural-symbolic learning.

  • Meta-interpretive learning & predicate invention.

  • Semi-supervised & unsupervised relational learning.

  • Methods for scaling-up ILP, parallel & distributed relational learning.

  • Incremental & online relational learning, learning from data streams.

  • Applications of ILP.

We solicit three types of submissions:

  1. Conference papers, describing original work with appropriate experimental evaluation and/or a self-contained theoretical contribution. Submitted conference papers should not have been published, or be under review for a journal, or another conference with published proceedings. Conference papers may be either long papers, of up to 15 pages, including references, or short papers of up to 6-9 pages, including references. Long papers should contain a substantial contribution that justifies their length, e.g. proofs of extensive experimental studies. Accepted conference papers will be published by the Springer LNAI conference proceedings.

  2. Late-breaking abstracts, briefly outlining novel ideas and proposals that the authors would like to present at the conference. These could include e.g. original work in progress without conclusive experimental findings, or other relevant work, not yet ready for publication. Submissions of late-breaking abstracts will be accepted/rejected on the grounds of relevance. Accepted late-breaking abstracts will be published on the conference website. Late-breaking abstracts must not exceed 4 pages, including references.

  3. Recently published papers relevant to ILP, or papers recently accepted for publication by a first-class conference such as ECML/PKDD, ICML, KDD, ICDM, AAAI, IJCAI, etc. or journal such as MLJ, DMKD, JMLR etc. These will be accepted/rejected on the grounds of relevance and quality of the original publication venue. For papers of this category a link to the original work will be published on the conference website. Authors should submit the abstract and the PDF file of the original submission, specifying in the abstract the original venue where the paper was accepted in addition to the acceptance date. Authors submitting a recently published paper should submit it through IJCLR’s “Recently Published Papers Track” option from the submission page.


All accepted papers will be assigned a presentation slot at the conference. Long conference papers will be assigned an extended slot, while short conference papers, late-breaking abstracts and recently published papers will be assigned a reduced slot.

Additionally, authors of accepted papers will have the opportunity to present their papers during the joint poster sessions. At least one of the authors of accepted papers/late-breaking abstracts must register for the conference and present their work.

SUBMISSIONS

Submissions will be handled by EasyChair. To submit a paper to ILP, authors are invited to follow the submission link and select the ILP track. For recently published papers please use the “Recently Published Papers Track”.

Submissions must be in Springer LNCS format, according to the Springer LNCS author instructions. Already published papers should be submitted in their original format and the authors should indicate the original publication venue.

IMPORTANT DATES

Abstract submission (long & short conference papers) 26th June 2023

Paper submission (long & short conference papers) 3rd July 2023

Author notification 25th August 2023

Camera-ready due 8th September 2023

Late-breaking abstracts &

already published papers 8th September 2023

Author notification 22nd September 2023

ILP Conference 13-15th November 2023

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