IEEE Computational Intelligence Society: webinar

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Thursday, 2 February 2023

Live Webinar: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐖𝐫𝐢𝐭𝐞 𝐓𝐡𝐞𝐦

𝐔𝐩𝐜𝐨𝐦𝐢𝐧𝐠 𝐈𝐄𝐄𝐄 𝐂𝐈𝐒 𝐖𝐞𝐛𝐢𝐧𝐚𝐫:

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐯𝐞 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐚𝐧𝐝 𝐇𝐨𝐰 𝐭𝐨 𝐖𝐫𝐢𝐭𝐞 𝐓𝐡𝐞𝐦
Thu, Feb 9, 2023 9:00 AM - 10:00 AM EST
Register: https://bit.ly/3wCg9kT

In this webinar, we will introduce a new type of article to be integrated with IEEE Xplore, the immersive article. Based on a web framework, it will allow readers to directly engage with the content. JavaScript and WebGL components will enable you, to make your paper truly interactive. Ever thought about showing a simulation in your paper, letting readers test out various parameters themselves, or getting a hands-on view of the data? Immersive articles will make it possible!

The webinar introduces the immersive article template, shows how to set up your environment for writing and testing, and goes over some of the most popular tools for interactive web visualizations. While this technology enables us to create new types of content, it also requires us to adapt the way we write and share ideas to realize its full potential. Therefore, this webinar will provide an overview of best practices for writing interactive web components, as they are already common practice in digital journalism, human-computer interaction, information visualization, and many other fields. We hope this webinar will prepare you to produce your own immersive articles in no time.

Speaker Bio:
Alexander Dockhorn is Junior professor for Computer Science at the Institute for Information Processing of the Leibniz University Hannover. His research is focused on the topics of machine learning, decision-making, AI in games, and game development. 

He is an active member of the Institute of Electrical and Electronics Engineers (IEEE) and serves as the chair of the IEEE CIS Games Technical Committee and the Summer Schools Subcommittee. 

Previously, he has been the Chair of the IEEE CIS Competitions Subcommittee and organized the Hearthstone AI competition as well as several other competitions. Motivated by the idea to explain AI to a broader audience he has been proposing and driving forward the integration of interactive articles at the IEEE Computational Intelligence Society.

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Monday, 22 August 2022

IEEE CIS launches the Resource Center

CIS members: Access conference materials, webinars, interviews and more resources through the CIS Resource Center, for low or no-cost! Topics range across industries and address the theory, design, application, and development of biologically and linguistically motivated computational paradigms, as well as hybrid intelligent systems. https://resourcecenter.cis.ieee.org/

Friday, 18 March 2022

Upcoming IEEE CIS Webinar: Generation Hyper-Heuristics for Automated Design, Configuration and Selection

Upcoming IEEE CIS Webinar: Generation Hyper-Heuristics for Automated Design, Configuration and Selection Registration: https://bit.ly/34D3R1s Tue, Mar 22, 2022 7:00 AM - 8:00 AM EDT Abstract: Automated #algorithm design, configuration and selection of #machinelearning and search algorithms (AutoDes) has made an impact on computational intelligence contributing to the advancement of the field. Generation hyper-heuristics, while in some ways still in their infancy, have proven to be effective for #AutoDes. The application of generation hyper-heuristics in AutoDes range from creating new heuristics and operators to generating components of algorithms. The webinar will present an overview of generation hyper-heuristics in AutoDes, highlighting the advances and challenges. The webinar will also highlight future research directions in this field.

Thursday, 21 October 2021

𝗜𝗘𝗘𝗘 𝗖𝗜𝗦 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

𝗜𝗘𝗘𝗘 𝗖𝗜𝗦 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 Fri, Nov 12, 2021 10:00 AM - 11:00 AM EST Registration: https://register.gotowebinar.com/register/3512292456264990224 Abstract: The below citation from J. Pearl’s works expresses the current trend in Computational Intelligence (CI) well: “Causal reasoning is an indispensable component of human thought that should be formalized ... toward achieving human-level machine intelligence”. Causal reasoning is, perhaps, the most advanced type of inference used in decision support systems. It currently amalgamates the evolution of inference which started with a rule-based reasoning and continued to the case-based and probabilistic reasoning. It has emerged from a Bayesian approach, and advanced to efficient representation such as Bayesian belief networks. Their role in multiple CI applications will be reviewed in this talk. Most recently, the much-developed area of pattern recognition, also known as machine learning, and its most advanced implementation, ‘deep learning’, have come to understanding of importance of ‘relations’ in pattern recognition, and even created the term ‘deep reasoning’. In this talk, we will focus on examples of causal reasoning for biometric-enabled decision support, and for the performance assessment of decision support systems. Biography: Dr. Svetlana Yanushkevich (SM IEEE 2004) is a full professor in the Department of Electrical & Software Engineering at Schulich School of Engineering (SSE), University of Calgary (UofC). She holds a Dr. Habilitated in Tech. Sci. (1999) from the Technical University of Warsaw, and joined the UofC in 2001. She is a founder of the Biometric Technologies Laboratory at the UofC. With her team in the Biometric Technologies Laboratory, she is developing novel decision support and risk assessment strategies based on machine reasoning, with applications to biometric-enabled access control and healthcare monitoring and diagnostics. She authored a monograph "Inverse Biometric Systems" (Taylor&Francis) and five other monographs and textbooks on the CI and digital design. She is also currently an Associate Dean, Equity, Diversity & Inclusion, and Research in the SSE at UofC.

Monday, 31 August 2015

Webinar: When are evolutionary algorithms provably efficient? Runtime analysis of population-based evolutionary algorithms

Date: September 18, 2015 3:00pm (UK time)
Registration: https://attendee.gotowebinar.com/register/555560504610023682
Speaker: Dr. Per Kristian Lehre, School of Computer Science, University of Nottingham, UK

Abstract:

Populations are at the heart of evolutionary algorithms (EAs). They provide the genetic variation which selection acts upon. A complete picture of EAs and their efficiency can only be obtained if we understand their population dynamics. A rich theory on runtime analysis (also called time-complexity analysis) of EAs has been developed over the last 20 years. The goal of this theory is to show, via rigorous mathematical means, how the efficiency of EAs depends on their parameter settings and the characteristics of the underlying fitness landscapes. Initially, runtime analysis of EAs was mostly restricted to simplified EAs that do not employ large populations, such as the (1+1) EA.

This webinar introduces recent, and easy to use techniques that make runtime analysis of complex, population-based evolutionary algorithms possible. It first offers an overview of population-based evolutionary algorithms. In particular, it defines common stochastic selection mechanisms and explains how to measure their selective pressure. The main part of the webinar covers in detail widely applicable techniques tailored to the analysis of populations, in particular drift analysis and level-based analysis.

To illustrate the application of these techniques, we consider several fundamental questions: When are populations necessary for efficient optimisation with EAs? What is the appropriate balance between exploration and exploitation and how does this depend on relationships between mutation and selection rates? What determines an EA's tolerance for uncertainty, e.g. in form of noisy or partially available fitness?

The webinar is aimed at students and researchers who wish to gain a deeper theoretical understanding of evolutionary algorithms, and possibly initiate their own research in runtime analysis. No more than a basic knowledge of probability theory will be required.

Biography:

Per Kristian Lehre received MSc and PhD degrees in Computer Science from the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. He finished the PhD in 2006 under the supervision of Prof Pauline Haddow, and joined the School of Computer Science at The University of Birmingham, UK, as a Research Fellow in January 2007 with Prof Xin Yao. He was a Post Doctoral Fellow at DTU Informatics, Technical University of Denmark in Lyngby, Denmark from April 2010. He is since September 2011 a Lecturer in the School of Computer Science at the University of Nottingham, UK.

Dr Lehre's research interests are in theoretical aspects of nature-inspired search heuristics, in particular runtime analysis of population-based evolutionary algorithms. His research has won numerous best paper awards, including GECCO (2013, 2010, 2009, 2006) and ICSTW (2008). He is vice-chair of IEEE Task Force on Theoretical Foundations of Bio-inspired Computation, and a member of the editorial board of Evolutionary Computation. He has guest-edited special issues of Theoretical Computer Science and IEEE Transaction on Evolutionary Computation on theoretical foundations of evolutionary computation. Dr Lehre has given many tutorials on evolutionary computation in summer schools (UK: 2007, France: 2009, 2010, and 2011, Estonia: 2010), as well as major conferences and workshops (GECCO 2013, 2014, 2015, CEC 2013, and 2015, ThRaSH 2013). He is the main coordinator of the 2M euro EU-funded project SAGE which brings together theory of evolutionary
computation and population genetics.

Sunday, 16 August 2015

Webinar Competition Call for Submissions

IEEE CIS invites students and young professionals (those within fifteen years from their first degree) to submit their entries to the 2015 Webinar Competition. The aim of the webinar will be to explain either a real world application of computational intelligence or an emerging topic in computational intelligence. Submissions are in two phases:

Phase 1: the participants should submit the title and abstract of their intended webinars. The abstract should contain no more than 500 words.
Phase 2: shortlisted participants will prepare a 30-min talk and submit it to YouTube.

Prizes

1st Place: 500 USD
2nd Place: 300 USD
3rd Place: 200 USD
The IEEE CIS reserves the right to award less than three prizes, including no prize, should that be judged appropriate. The decisions made by the competition organizing committee are final.

Each prize winner will also receive an official IEEE Computational Intelligence Society prize certificate.

Important Dates

Phase 1 deadline: ~~10th August 2015~~ 24th August 2015
Phase 2 deadline: ~~30th August 2015~~ 13th September 2015

Judgement criteria for shortlisting and selecting the winners of the competition

Novelty of the real world application or the emerging topic being explained
Soundness
Relevance (there should be a clear justification of why the entry can be considered an emerging topic or a real world application of computational intelligence)
Popularity (number of “likes” vs “dislikes” and comments in YouTube) – note that these will be counted only until 27th September 2015
Presentation and clarity

Eligibility

The submission must be made by a single author who must be over the age of 18 (under 18s must provide parental consent).
Proof that the author qualifies as a student or young professional at the deadline of phase 1 should be provided. This will be a letter from the University confirming that the author is a student, a BSc diploma, or equivalent.

Winners must sign a video collection form giving IEEE the right to include their video at the IEEE CIS Education Website.

Format

Phase 1: abstract submissions should be in English. The abstract should have no more than 500 words.
Phase 2: videos must be narrated in English and be available through YouTube. The video should take no more than 30 min. At the beginning of the video, a disclaimer of "This video is submitted to the Webinar Competition 2015 supported by IEEE CIS" should be shown.

Submission

Phase 1: submit your title + abstract at
https://easychair.org/conferences/?conf=webicomp2015

Phase 2: submit the link to your YouTube video at the beginning of your abstract at
https://easychair.org/conferences/?conf=webicomp2015

Organization

IEEE CIS
Webinars Subcommittee
Student Subcommittee
Young Professionals Subcommittee
Education Committee

Albert Lam <ayslam@gmail.com>
Leandro Minku <L.L.Minku@cs.bham.ac.uk>
Manuel Roveri <manuel.roveri@polimi.it>

Monday, 20 July 2015

2015 Webinar Competition for Students and Young Professionals-Real World Applications and Emerging Topics in Computational Intelligence

We invite students and young professionals who are members of IEEE CIS to submit their entries to the 2015 webinars competition and get the chance to win prizes of up to 500 USD! We welcome submissions on the topics of real world applications and emerging topics in computational intelligence. The deadline for abstracts submission is 10th August 2015. Please find the call for submissions here:

http://cis.ieee.org/images/files/Documents/GOLD/WebinarCompetition_CFS_v2.pdf

Monday, 4 May 2015

IEEE CIS Junior Webinar Series: Webinar by Pietro Consoli

Speaker: Pietro Consoli
School of Computer Science, University of Birmingham, UK
http://www.cs.bham.ac.uk/~pac265/

Title: Adaptive Crossover Operator Selection Based on Online Learning and Fitness Landscape Metrics
Date: May 14, 2015 5:00 PM BST

Register at:

https://attendee.gotowebinar.com/register/8162182053911206146

Abstract:
Self-adaptive mechanisms for the identification of the most suitable variation operator in evolutionary meta-heuristics rely almost exclusively on the measurement of the fitness of the offspring, which may not be sufficient to assess the optimality of an operator (e.g., in a landscape with a high degree of neutrality). In this talk, I will present a novel Adaptive Operator Selection mechanism which uses a set of four Fitness Landscape Analysis techniques and an online learning algorithm, Dynamic Weighted Majority, to provide more detailed information about the search space in order to better determine the most suitable crossover operator to use on a set of Capacitated Arc Routing Problem (CARP) instances. Extensive comparison with a state of the art approach has proved that this technique is able to produce comparable results on the set of benchmark problems and that, in some cases, it can outperform the results achieved adopting the fitness based approach.

This webinar is part of the IEEE CIS Junior Webinar Series.

After registering, you will receive a confirmation email containing information about joining the webinar.

Monday, 21 October 2013

Webinar: So you want to be an Academic? Some Tips and Tricks

Professor Bob John of University of Nottingham, United Kingdom, will give a live webinar to our IEEE CIS members and friends. The information of the webinar is shown below:

Webinar arrangement

Topic:

So you want to be an Academic? Some Tips and Tricks

Date and time:

2:00 PM, Oct 23, 2013, BST (London Time)

9:00 AM, Oct 23, 2013, EDT (New York Time)

9:00 PM, Oct 23, 2013, HKT (Hong Kong Time)

Webinar ID:

112-059-947

Registration

The webinar is free-of-charge. We only have limited seats. First come first served.

Please register for "So you want to be an Academic? Some Tips and Tricks" on Oct 23, 2013 2:00 PM BST at:

https://attendee.gotowebinar.com/register/5187699622185856768

Webinar information

Speaker:

Professor Bob John, Automated Scheduling, Optimisation and Planning Group (ASAP), University of Nottingham, United Kingdom

Abstract:

This webinar will be given by Bob John who has led two highly successful computational intelligence research groups (www.cci.dmu.ac.uk and www.asap.ac.uk) for more than 12 years. He will give his personal views, based on his experiences, of what's needed to become an academic. Although based in the United Kingdom the points he makes will broadly translate to other countries. He will discuss your best strategies for producing publications, the role of networking, looking for funding and generally how to get on the academic career ladder.

Speaker's Biography:

Bob has a BSc Mathematics, a MSc in Statistics and a PhD in Fuzzy Logic. He worked in industry for 10 years as a mathematician and knowledge engineer developing knowledge based systems for British Gas and the financial services industry. Bob spent 24 years at De Montfort University in various roles including Head of Department, Head of School and Deputy Dean. He led the Centre for Computational Intelligence research group from 2001 until 2012. He has over 150 research publications of which about 50 are in international journals. Bob joined the University of Nottingham this year where he heads up the Automated Scheduling, Optimisation and Planning (ASAP) research group in the School of Computer Science. The ASAP research group carries out multi-disciplinary research into mathematical models and algorithms for a variety of real-world optimisation problems. ASAP has 8 academic staff, 9 researchers and over 30 PhD students.

Only limited seats are available. Please register as soon as possible.

After registering, you will receive a confirmation email containing information about joining the webinar.

Tuesday, 3 September 2013