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IEEE CIS Newsletter, Issue 99, April 2021
 
 
 
 
 
 
Announcements
 
 
 
 

Call for Nominations for Various Officers’ Positions and ADCOM Members-at-Large

Dear Members,

The IEEE Computational Intelligence Society (CIS) is seeking nominations for the following key leadership positions (terms are in parentheses):

Vice President for Conferences (2022-2023),

Vice President for Finances (2022-2023),

Vice President for Technical Activities (2022-2023), and

Five ADCOM Members-at-Large (2022-2024).

According to the CIS Bylaws, ARTICLE XI – GOVERNANCE AND ADMINISTRATION, Section 32 Schedule for ADCOM Elections:

"Five ADCOM Members-at-Large are elected each year, plus any vacated positions."

"The election of Vice President for Conferences, Vice President for Finances, and Vice President for Technical Activities shall take place in odd-numbered years."

Eligibility requirements are defined in the CIS Bylaws, ARTICLE XIII – NOMINATIONS, ELECTIONS AND APPOINTMENTS. The nomination will close 15 May 2021.

For more information on eligibility, submission requirements, and deadlines please visit our website for the official call for nominations.

CIS Nominations Committee

 
 
 
 

Call for IEEE CIS Conference Participation Grants

Two types of Conference Participation Grants:

  • IEEE CIS Outstanding Student-Paper Participation Grants is a program that offers a limited number of participation grants to assist IEEE-CIS Student Members presenting papers at IEEE CIS conferences with financial sponsorship (including for conference registrations).
  • IEEE CIS Conference Participation Grant Program for Researchers from Developing Countries is a program that offers a very limited number of participation grants to assist IEEE-CIS Members of any grade higher than Student presenting papers at IEEE CIS conferences with financial sponsorship (including for conference registrations).

For full instruction on how to apply, please visit IEEE CIS Outstanding Student-Paper Participation Grants - Instructions.

Video regarding Conference Participation Grants

For more information, please view this video that describes the various conference participation grants, including student interviews describing their personal experiences.

Instructions for Applying for IEEE Participation Grants

  • Visit the IEEE CIS Participation Grant Application
  • Follow the instructions and fill all the data in the form. Note that, after acceptance, each nominee will be asked to provide a proof of student status and recommendation letter (for students), or a funding justification letter and a letter confirming the percentage of involvement (for young professionals). We will request these documents in a second step. They cannot be uploaded in this form.
  • Finally press “Submit” to complete your application!
 
 
 
 

Proposals to Organize CIS Flagship Conferences in 2024

We are looking for organizers for the IEEE CIS World Congress on Computational Intelligence (WCCI) and the IEEE CIS Symposium Series in Computational Intelligence (SSCI), both to take place in 2024. The proposals must be submitted by 31 May 2021. Please inform Marley Vellasco ([email protected]) and Gui DeSouza ([email protected]) of your intention to prepare a bid as soon as you decide to do so. Policies, procedures and budget worksheet for such proposals are available on our website.

Getting Involved in the Organization of CIS Conferences

Also, if you want to get involved in the organization of new or current CIS conferences, or if your industry wants to get involved in the CIS conferences in general or any particular one (e.g., co-sponsor, set booths, etc), please also contact Marley Vellasco ([email protected]) and Gui DeSouza ([email protected]). The CIS sponsors eleven small conferences and five mid-to-large conferences in topics ranging from CI in cyber security and defense, to smart world and robotics, not to mention the fundamentals of CI. For a list of past and upcoming CIS conferences, please check our conference calendar and keep in mind that the deadline for submitting proposals for small CIS conferences in 2023 is 30 September, 2021.

 
 
 
 

Call for Nominations / Applications for the position of
Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems

The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) publishes technical articles that deal with the theory, design, and applications of neural networks and related learning systems.  Details about the current state of this publication can be found at on our website.

The IEEE CIS Executive Committee has formed an Adhoc Search Committee to invite nominations/applications for the position of Editor-in-Chief for TNNLS. The Editor-in-Chief appointment is for a 2-year term starting 1 January 2022. Nominees/applicants should be dedicated volunteers with outstanding research profiles and extensive editorial experience. The nomination/application package should include complete CV along with a separate description (max 300 words/topic) on each of the following items:

  • Vision Statement
  • Editorial Experience
  • Summary of publishing experience in IEEE journals/magazines
  • IEEE Volunteer Experience
  • Institutional Support
  • Current service and administrative commitments
  • Networking with the Community
  • Challenges, if any, faced by the publication, and how to deal with them
  • Why the candidate considers himself/herself fit for this position?


The nomination/application package should be sent as a single PDF file through email to both Prof. Kay Chen Tan ([email protected]) and Jo-Ellen Snyder ([email protected]) by 15 May 2021.

 
 
 
 

Call for Nominations / Applications for the position of Editor-in-Chief of the IEEE Transactions on Cognitive and  Developmental Systems 

The IEEE Transactions on Cognitive and Developmental Systems (TCDS) focuses on advances in the study of development and cognition in natural (humans, animals) and artificial (robots, agents) systems. It welcomes contributions from multiple related disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and  developmental psychology. Details about the current state of this publication can be found on our website

The IEEE CIS Executive Committee has formed an Adhoc Search Committee to invite nominations/applications for the position of Editor-in-Chief for TCDS. The Editor-in-Chief appointment is for a 2-year term starting 1 January 2022. Nominees/applicants should be dedicated volunteers with outstanding research profiles and extensive editorial experience. The nomination/application package should include complete CV along with a separate description (max 300 words/topic) on each of the following items: 

  • Vision Statement
  • Editorial Experience
  • Summary of publishing experience in IEEE journals/magazines
  • IEEE Volunteer Experience
  • Institutional Support
  • Current service and administrative commitments
  • Networking with the Community
  • Challenges, if any, faced by the publication, and how to deal with them
  • Why the candidate considers himself/herself fit for this position?

The nomination/application package should be sent as a single PDF file through email to both Prof.  Kay Chen Tan ([email protected]) and Jo-Ellen Snyder (j[email protected]) by 15 May 2021

 
 
 
 
Research Frontier
 
 
 
 

Cascaded Correlation Refinement for Robust Deep Tracking

arieal photo of a 4 lane highwayRecent deep trackers have shown superior performance in visual tracking. In this article, we propose a cascaded correlation refinement approach to facilitate the robustness of deep tracking. The core idea is to address accurate target localization and reliable model update in a collaborative way. To this end, our approach cascades multiple stages of correlation refinement to progressively refine target localization. Read More

IEEE Transactions on Neural Networks and Learning Systems, March. 2021

 
 
 
 

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment


neurla networks Uncertainty and distributed nature inherently exist in the big data environment. Distributed fuzzy neural network (D-FNN) that not only employs fuzzy logics to alleviate the uncertainty problem but also deal with data in a distributed manner, is effective and crucial for big data. Existing D-FNNs always avoided consensus for their antecedent layer due to computational difficulty. Hence such D-FNNs are not really distributed since a single model can not be agreed by multiple agents. This article proposes a true D-FNN model to handle the uncertainty and distributed challenges in the big data environment. Read More


IEEE Transactions on Emerging Topics in Computational Intelligence, Feb. 2021

 
 
 
 

Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations


wooden blocks with people stampsDominance relations exist extensively in decision-making problems. Dominance-based neighborhood rough sets (DNRS) using fuzzy preference relations (FPRs) are presented in this article to deal with attribute reduction in large-scale decision-making problems. In this model, FPR is elicited to quantify the dominance-based rough set model, which can efficiently deal with the under-fitting problem of classical dominance-based rough sets. Read More


IEEE Transactions on Fuzzy Systems, March. 2021

 
 
 
 

A Multifaceted Surrogate Model for Search-Based Procedural Content Generation


the word content with arrows pointing at itThis paper proposes a framework for the procedural generation of level and rule set components of games via a surrogate model that assesses their quality and complementarity. The surrogate model combines level and ruleset elements as input and gameplay outcomes as output, thus constructing a mapping between three different facets of games. Using this model as a surrogate for expensive gameplay simulations, a search-based generator can adapt content toward a target gameplay outcome. Using a shooter game as the target domain, this paper explores how parameters of the players’ character classes can be mapped to both the level's representation and the gameplay outcomes of balance and match duration. Read More


IEEE Transactions on Games, March. 2021

 
 
 
 

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification


a wooden scale leaning right with pegs on top Cost-sensitive learning is a popular approach to addressing the problem of class imbalance for many classification algorithms in machine learning. However, most cost-sensitive algorithms are dependent on manually designed cost matrices. Unfortunately, in many cases, it is often not easy for humans, even experts, to accurately specify misclassification costs for different mistakes due to the lack of domain knowledge related to actual situations in some complex unbalanced problems. As a result, these cost-sensitive algorithms cannot be directly applied. This paper proposes a new genetic programming based approach to developing cost-sensitive classifiers that are independent of manually designed cost matrices. Read More


IEEE Computational Intelligence Magazine, February. 2021

 
 
 
 
Member Activities
 
 
 
 

Meet IEEE CIS Members

jim-keller.JPG


Meet: Jim Keller, President-elect



What is your title, and place of work? ( or Technical Field of Research)?

Curators’ Distinguished Professor Emeritus

Electrical Engineering and Computer Science Department

University of Missouri

Columbia, MO 65203 USA



How long have you been a member of CIS and what was the reason you chose to join IEEE CIS?

I think since the Jurassic Period.  I joined the Neural Networks Council (NNC), the predecessor of CIS, shortly after its creation and became a volunteer as a reviewer for the first FUZZ-IEEE and an AE for TFS when it was created. I had been a member of IEEE SMC for much longer, and since SMC was one of the founding Societies for NNC, it was a natural association for me.



What Computational Intelligence society committee do you serve?

I just finished my second 4 year tour as VP of Pubs, and now I am the President-elect, but I’ve had many roles over the years.



What are some of the challenges you've faced as a volunteer?

I see many more opportunities than challenges in volunteering for CIS (and for IEEE at the Institute level).  In one sense, I believe in giving back – I’ve been blessed in my life- but the truth is that I get so much more satisfaction and friendship from my interactions with all the friends I’ve made with folks around the world. 



What have you learned from your experience and how has it helped you professionally?

Better appreciation of the talents and expertise of the plethora of really smart people I get to associate with.



What has been the most fun/rewarding thing about being a volunteer for the IEEE Computational Intelligence Society? What have you enjoyed the most?

What have I enjoyed the most?  Obviously, all the people I’ve got to meet as a CIS volunteer.  And, of course, for a guy who grew up in a working class neighborhood in St. Louis, being able to visit so many cool places on the planet. 



Tell us something about you that we don't know.

When I was in High School, working in a grocery store, I contemplated working for the grocery chain as my full-time job after graduating. In my neighborhood, the focus was on “getting a job.”  I had an Assistant Manager of our store tell me to get a couple of years of college and apply for the management training program.  Thankfully, I loved college, but even there, at the Bachelors and Masters levels, I still wanted to get a job.  Turns out I resisted that urge, and the rest is history.


Jim Keller 2021 Rosenblatt Award


 
 
 
 

Live Webinar

Active Learning by Learning

Date: Tuesday, 20 April 2021
Time: 9:30 PM - 10:30 PM EDT

Abstract:

Active learning is an important technique that helps reduce labeling efforts in machine learning applications. Previously, most active learning strategies are constructed based on some human-designed philosophy; that is, they reflect what human beings assume to be "good labeling questions." However, given that a single human-designed philosophy is unlikely to work on all scenarios, choosing and blending those strategies under different scenarios is an important but challenging practical task.

This paper tackles this task by letting the machines adaptively "learn" from the performance of a set of given strategies on a particular data set. More specifically, we design a learning algorithm that connects active learning with the well-known multi-armed bandit problem. Further, we postulate that, given an appropriate choice for the multi-armed bandit learner, it is possible to estimate the performance of different strategies on the fly. Extensive empirical studies of the resulting algorithm confirm that it performs better than strategies that are based on human-designed philosophy. We release an open-source package libact that includes the algorithm to make active learning more realistic for general users.
 
 
 

Featured Speaker

 
prof-lin.JPG
Prof. Hsuan-Tien Lin

Prof. Hsuan-Tien Lin received a B.S. in Computer Science and Information Engineering from National Taiwan University in 2001, an M.S. and a Ph.D. in Computer Science from California Institute of Technology in 2005 and 2008, respectively.

 
 
 
 
 

Live Webinar

Understanding the Complexity of Financial Systems of Systems

Date: Thursday, 20 May 2021
Time: 11:00 AM - 12:00 PM EDT

Abstract:

Why are the financial markets so problematical? One reason is that financial markets consist of many systems – having other complex systems as components – that interact in complicated ways. The focus of this webinar is to explain the complexity of several financial systems in terms of several properties that are characteristic of large, diverse, complex systems. We distill this framework for financial systems of systems to include properties describing interactions among other system components; properties relating to interactions within the system environment; and properties relating to interactions with time. In this webinar, we discuss how these properties impact financial systems involved with high frequency trading (connectivity vs. latency arbitrage); market fragmentation (autonomy vs. regulatory-induced feedback); and credit (model diversity vs. copula model risk).
 
 
 

Featured Speaker

 
Roy-Freedman.JPG
Prof. Roy S. Freedman

Dr. Freedman received a BS and MS in Mathematics, an MS in Electrical Engineering, and a PhD in Mathematics, all from the NYU Tandon School of Engineering (formerly Polytechnic University)

 
 
 
 
 
Journal Special Issues
 
 
 
 
 
 
 
 
CIS Conferences
 
 
 
 
Due to the outbreak of the COVID-19 pandemic, dates and details of CIS sponsored conferences should be monitored closely.

The situation is changing very quickly. Please consult the conference web pages frequently to obtain the latest information.

You can find the most recent announcements and updates from all of our Society’s conferences and events at https://cis.ieee.org/volunteer-resources/covid-19-notice as our organizers make decisions.
 
 

* Denotes a CIS-Sponsored Conference

∆ Denotes a CIS Technical Co-Sponsored Conference


* 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2021)

18-20 June 2021

Place: Virtual

General Co-Chairs: Yong Hu, Guanglin Li, Angelo Genovese 

Website: https://civemsa2021.ieee-ims.org/

 

* 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)

28 June - 1 July 2021

Place: Kraków, Poland

General Co-Chairs: Jacek Mańdziuk and Hussein Abbass

Website: https://cec2021.mini.pw.edu.pl

Will be a virtual conference

 

* 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)

11-14 July 2021

Place: Luxembourg, Luxembourg

General Co-Chairs: Christian Wagner and Holger Voos

Website: https://attend.ieee.org/fuzzieee-2021/

Will be a virtual conference



* 2021 IEEE International Conference on Development and Learning (ICDL)

23-26 August 2021

Place: Beijing, China

General Co-Chairs: Dingsheng Luo and Angelo Cangelosi

Website: https://icdl-2021.org



* 2021 IEEE Conference on Games (IEEE CoG 2021)

17-20 August 2021

Place: Copenhagen, Denmark

General Co-Chairs: Miguel Sicart & Paolo Burelli

Website: https://ieee-cog.org/2021/index.html

Full paper submission deadline: 9 April 2021


∆ 2nd International Conference on Industrial Artifical Intelligence (IAI2021)

20-22 August 2021

Place: Shenyang, China

General Chair: Yaochu Jin

Website: TBC



∆ 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2021)

25-27 August 2021

Place: Hyderabad, India

General Chair: Atul Negi, Naresh Mallenahalli, Akira Hirose

Website: http://ietcint.com


∆ 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA CECNSM 2021)

24-26 September 2021

Place: Preveza, Greece

General Co-Chairs: Markos G. Tsipouras, Alexandros T. Tzallas, Michael F. Dossis 


* 2021 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2021)

6-9 October 2021

Place: Porto, Portugal

General Co-Chairs: João Gama & Francisco Herrera

Website: https://dsaa2021.dcc.fc.up.pt/

Full paper submission deadline: 23 May 2021


* 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

13-15 October 2021

Place: Melbourne, Australia

General Chairs: Madhu Chetty

 

* 2021 IEEE Smart World Conference (IEEE SWC 2021)

18-21 October 2021

Place: Atlanta, USA

General Co-Chairs: Yi Pan, Rajshekhar Sunderraman, Yanqing Zhang

Website: http://ieeesmartworld.org/

Full paper submission deadline: 30 April 2021

 

∆ 2021 International Conference on Process Mining (ICPM 2021)

31 October - 4 November 2021

Place: Campus of Eindhoven University of Technology, The Netherland

General Co-Chairs: Boudewijn van Dongen 

 

* 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)

2-5 November 2021

Place: Temuco, Chile

General Co-Chairs: Millaray Curilem and Doris Saez

Website: http://la-cci.org/

Full paper submission deadline: 30 April 2021

  

* 2021 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021)

5-8 December 2021

Place: Orlando, FL, USA

General Co-Chairs: Sanaz Mostaghim and Keeley Crockett

Website: https://attend.ieee.org/ssci-2021/

 
 
 
CIS sponsors and co-sponsors a number of conferences across the globe. 
 
 
 
 
 
 
Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: [email protected]

 
 
 
 
 
 
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