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IEEE CIS Newsletter, Issue 121, February 2023
Member Activities

Live Webinar

Introducing Immersive Articles and How to Write Them

Date: Thursday, 9 February 2023
Time: 9:00 AM - 10:00 AM EST

List of things related to webinar:

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.
Have you 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!

Featured Speaker



Professor Alexander Dockhorn
Alexander Dockhorn is Junior professor for Computer Science at the Institute for Information Processing of the Leibniz University Hannover

Educational Activities
2023 Graduate Student Research Grants: Call for Applications
The IEEE Computational Intelligence Society (CIS) funds scholarships for deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. The primary intent of these scholarships is to cover the expenses related to a visit to another university, institute, or research agency for collaboration with an identified researcher in the field of interest of the applicant. Funds can be used to cover travel expenses as well as certain living expenses (such as housing). The field of interest of applicants is open but should be connected with an identifiable component of the CIS (neural networks, fuzzy systems, or evolutionary computation).
The call for the next round of applications will be announced soon and will have a deadline for submission of 15 March 2023. More information on the scheme can be found on the CIS Graduate Student Research Grants webpage.
2023 Call For Summer School Proposals
You are encouraged to submit a proposal to hold a CIS summer school in Computational Intelligence from April to December 2023. If the proposal is approved, and upon request, CIS will provide a financial contribution to support the initiative. The amount of the financial support from CIS depends on the available budget, the number of financed proposals and the soundness of the school budget. Organizers can take advantage of other initiatives, e.g., the CIS Distinguished Lecture Program to further support the school (related regulations apply).
Important Dates:
  • Eligible period: 1 April 2023 to 31 December 2023
  • Deadline for submitting the proposal: 1 April 2023 (late submissions may also be considered, but subject to the availability of the budget balance)
  • Notification of the outcome of the review process: 15 April 2023
For more information visit the IEEE CIS Summer Schools webpage
Research Frontier

Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods

This tutorial paper surveys provably optimal alternatives to end-to-end backpropagation (E2EBP) — the de facto standard for training deep architectures. Modular training refers to strictly local training without both the forward and the backward pass, i.e., dividing a deep architecture into several nonoverlapping modules and training them separately without any end-to-end operation. Between the fully global E2EBP and the strictly local modular training, there are weakly modular hybrids performing training without the backward pass only. Read More

IEEE Computational Intelligence Magazine, November 2022


On Mixed-Initiative Content Creation for Video Games

young girl with headphones on sitting at a desktop computer

In this article, we present a survey of mixed-initiative methods for the creation of content for video games. We also propose a definition of what mixed initiative implies, as the term lacks a clear specification. The survey includes works not directly aimed at video games but which create content that can potentially be used in games, such as art programs utilizing mixed initiative. Furthermore, we highlight research areas that overlap wholly or partly with mixed initiative, such as casual creators, explainable artificial intelligence, or interactive evolutionary computation. Read More

IEEE Transactions on Games, December 2022


FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis


Graph Convolutional Networks (GCNs) are widely used in medical images diagnostic research, because they can automatically learn powerful and robust feature representations. However, their performance might be significantly deteriorated by trivial or corrupted medical features and samples. Moreover, existing methods cannot simultaneously interpret the significant features and samples. To overcome these limitations, in this paper, we propose a novel dual interpretable graph convolutional network, namely FSNet, to simultaneously select significant features and samples, so as to boost model performance for medical diagnosis and interpretation. Read More

IEEE Transactions on Emerging Topics in Computational Intelligence, July 2022


Anytime Performance Assessment in Blackbox Optimization Benchmarking

Spectacular performance, in a positive message.

We present concepts and recipes for the anytime performance assessment when benchmarking optimization algorithms in a blackbox scenario. We consider runtime—oftentimes measured in the number of blackbox evaluations needed to reach a target quality—to be a universally measurable cost for solving a problem. Starting from the graph that depicts the solution quality versus runtime, we argue that runtime is the only performance measure with a generic, meaningful, and quantitative interpretation. Hence, our assessment is solely based on runtime measurements. Read More

IEEE Transactions on Evolutionary Computation, December 2022


The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems


The trustworthiness of robots and autonomous systems (RASs) has taken a prominent position on the way toward full autonomy. This work is the first to systematically explore the key facets of human-centered AI (HAI) for trustworthy RAS (TRAS). We identified five key properties of a TRAS, i.e., RAS must be: 1) safe in any uncertain and dynamic environment; 2) secure, i.e., protect itself from cyber threats; 3) healthy and fault tolerant; 4) trusted and easy to use to enable effective human–machine interaction (HMI); and 5) compliant with the law and ethical expectations. Read More

IEEE Transactions on Cognitive and Developmental Systems, December 2022


Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning


Twin support vector machines (TSVMs) have been successfully employed for binary classification problems. With the advent of machine learning algorithms, data have proliferated and there is a need to handle or process large-scale data. TSVMs are not successful in handling large-scale data due to the following: 1) the optimization problem solved in the TSVM needs to calculate large matrix inverses, which makes it an ineffective choice for large-scale problems; 2) the empirical risk minimization principle is employed in the TSVM and, hence, may suffer due to overfitting; and 3) the Wolfe dual of TSVM formulation involves positive-semidefinite matrices, and hence, singularity issues need to be resolved manually. Read More

IEEE Transactions on Fuzzy Systems, November 2022


An Improved Explainable Point Cloud Classifier (XPCC)


Classification of objects from 3-D point clouds has become an increasingly relevant task across many computer-vision applications. However, few studies have investigated explainable methods. In this article, a new prototype-based and explainable classification method called eXplainable point cloud classifier (XPCC) is proposed. The XPCC method offers several advantages over previous explainable and nonexplainable methods. Read More

IEEE Transactions on Artificial Intelligence, February 2023

Journal Special Issues

FUZZ-IEEE 2023 Call for Papers

fuzz 2023.JPG

The Annual IEEE International Conference on Fuzzy Systems, well known as FUZZ-IEEE, is one of the premier international conferences in the field of fuzzy sets and systems. FUZZ-IEEE 2023 will be held in the Songdo International City which is a Free Economic Zone located approximately 15 minutes away by car from the Incheon International Airport and an hour from Seoul, making it a pleasant and convenient venue for business as well as for touring the Seoul metropolitan area. It is rising as one of the hottest places in Korea in terms of tourism, culture, leisure, MICE (Meeting, Incentive trip, Convention, Exhibition & Event), and shopping. This complex cultural space provides sharing of happiness to all visitors. Access all submission details here.


IEEE CAI 2023 Call for Papers

CAI23-400x100-email-signature-cfp-1x (2).jpg

The IEEE Conference on Artificial Intelligence (IEEE CAI) will take place in Santa Clara, CA, USA on 5-6 June 2023. This new conference series emphasizes AI applications in specific verticals that impact industrial technology and innovation. Key verticals include Energy, Healthcare and Life Science, Transportation and Aerospace, Earth Systems Decision Support, Industrial AI, and Ethical and Societal Implications of AI. IEEE CAI seeks original, high-quality poster papers describing the research and results that contribute to advancements in AI applications. Access all submission details here.

By Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil
Leandro Minku, University of Birmingham, UK

* Denotes a CIS-Sponsored Conference
∆ Denotes a CIS Technical Co-Sponsored Conference
∆ 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023)
22-24 February 2023
Place: Lisbon, Portugal
General Chair: Ana Fred
∆ 15th International Conference on Agents and Artificial Intelligence (ICAART 2023)
22-24 February 2023
Place: Lisbon, Portugal
General Chair: Jaap van den Herik
∆ 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023)
23-24 March 2023
Delhi, India
General Chair: Manoj Kumar Pandey
* 2023 IEEE Conference on Artificial Intelligence (IEEE CAI 2023)
7-8 June 2023
Place: Santa Clara Valley, USA
General Chairs: Gary Fogel and Piero Bonissone
* IEEE Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2023)
12-14 June 2023
Place: Tunis, Tunisia
General Chair: Adel M. Alimi
∆ 2023 International Joint Conference on Neural Networks (IJCNN 2023)
18-23 June 2023
Place: Gold Coast, Australia
General Chairs: Brijesh Verma and Nik Kasabov
* 2023 IEEE Swiss Conference on Data Science (IEEE SDS 2023)
22-23 June 2023
Place: Zurich, Switzerland
General Chair: Melanie Geiger
* 2023 IEEE Congress on Evolutionary Computation (IEEE CEC 2023)
2-5 July 2023
Place: Chicago, USA
General Chair: Gui DeSouza
* 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2023)
13-17 August 2023
Place: Incheon, Korea
General Co-Chairs: Frank Chung-Hoon Rhee and Byung-Jae Choi
* 2023 IEEE Conference on Games (IEEE CoG 2023)
21-24 August 2023
Place: Boston, USA
General chairs: Casper Harteveld and Jialin Liu
* 2023 IEEE Smart World Congress (IEEE SWC 2023)
25-28 August 2023
Place: Portsmouth, UK
General chairs: Hui Yu and Man Lin
* IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2023)
29-31 August 2023
Place: Eindhoven, Netherlands
General Chair: Marco S. Nobile
* 2023 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023)
2-6 October 2023
Place: Thessaloniki, Greece
General Chair: Yannis Manolopoulos
Website: TBA
* IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI 2023)
29 October to 1 November 2023
Place: Porto de Galinhas, Brazil
General Chairs: Diego Pinheiro and Rodrigo Monteiro
Website: TBA
* 2023 IEEE International Conference on Development and Learning (ICDL 2023)
9-11 November 2023
Place: Macau, China
General Chair: Zhijun Li
* 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023)
6-8 December 2023
Place: Mexico City, Mexico
General Chair: Wen Yu
* 2024 IEEE International Conference on Development and Learning (IEEE ICDL 2024)
20-23 May 2024
Place: Austin, TX, USA
General chair: Chen Yu
Website: TBA
* 2024 IEEE Evolving and Adaptive Intelligent Systems Conference (IEEE EAIS 2024)
23-24 May 2024
Place: Madrid, Spain
General Chairs: Jose Iglesias and Rashmi Baruah
Website: TBA
* 2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (IEEE CIVEMSA 2024)
15-15 June 2024
Place: Xi'an, China
General Chairs: Yong Hu, Xiaodong Zhang and Yi Zhang
Website: TBA
* 2024 IEEE International Conference on Artificial Intelligence (IEEE CAI 2024)
25-27 June 2024
Place: Singapore
General Chairs: Ivor Tsang, Ong Yew Soon, Hussein Abbass
Website: TBA
* 2024 IEEE World Congress on Computational Intelligence (IEEE WCCI 2024)
30 June – 5 July 2024
Place: Yokohama, Japan
General Chairs: Akira Hirose, Hisao Ishibuchi
* 2024 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2024)
27-29 August 2024
Place: Natal, Brazil
General Chairs: Renan Moioli
Website: TBA

Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: [email protected]

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