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IEEE CIS Newsletter, Issue 118, November 2022
2022 IEEE Computational Intelligence Society Election


Current IEEE CIS members are eligible to vote in the upcoming election Election of Members to the Administrative Committee for a Three-Year Term: 1 January 2023 - 31 December 2025. 

Voting must be completed no later than 17 November 2022

To view candiates biographies and cast your vote, please visit IEEE CIS ADCOM Election
Member Activities

Live Webinar with Professor Anna Wilbik

The Explainability Challenge in Descriptive Analytics: Do We Understand the Data?

Wednesday, 16 November 2022
8:00 AM - 9:00 AM EST

Nowadays, ever more data is collected, for instance in the healthcare domain. The amount of patients’ data has doubled in the previous two years. This exponential growth creates a data flood that is hard to handle by decision makers. In many domains, humans are collaborating with machines for decision making purposes to cope with the resulting data complexity and size. This collaboration can be realized through machine learning, visual analytics, or online analytical processing, where a machine is just a tool – but often used to take important decisions. Read more

Anna Wilbik is currently Professor in Data Fusion and Intelligent Interaction in the Department of Advanced Computing Sciences of Maastricht University, in the Netherlands. Currently she is also a chair of The Fuzzy Systems Technical Committee (FSTC) within IEEE CIS. 

Research Frontier

Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization

covid19 illustrationThe SARS-CoV-2 pandemic demonstrates the vulnerability of societies in a globalized world. As pathogens spread at exponential rates, rapid development of appropriate medical treatments and distribution of vaccinations are major challenges. Under these circumstances, authorities employ non-pharmaceutical interventions (NPIs) against the spread, which can impact the economy strongly. Hence, there is a need for strategies that help minimize infection without sacrificing the economy’s wellbeing. This study explores the inherent trade-off characteristics of optimal control strategies by utilizing the well-known SEIR (susceptible, exposed, infectious, recovered) pandemic model with an integrated economic compartment. Read More

IEEE Computational Intelligence Magazine, August 2022


Wavefront-Based Multiple Rumor Sources Identification by Multi-Task Learning

illustration of woman with many arms multitaskingIdentifying rumor sources in social networks is one of the key tasks for defeating rumors automatically. Many efforts have been devoted to locating rumor sources with an assumption that the infected status of each node is known in advance, while other efforts focus on identifying sources with partial infection knowledge, such as wavefront, sparse observers, and snapshots. Wavefront is a set of nodes that are infected at the latest propagation in social networks, which is originally defined for analyzing the SARS epidemic, and shows considerable importance in information source locating task. Read More

Transactions on Emerging Topics in Computational Intelligence, October 2022


What Causes Wrong Sentiment Classifications of Game Reviews?

illustration of happy sad and neutral facesSentiment analysis is a popular technique to identify the sentiment of a piece of text. Several different domains have been targeted by sentiment analysis research, such as Twitter, movie reviews, and mobile app reviews. Although several techniques have been proposed, the performance of current sentiment analysis techniques is still far from acceptable, mainly when applied in domains on which they were not trained. In addition, the causes of wrong classifications are not clear. In this article, we study how sentiment analysis performs on game reviews. Read More

IEEE Transactions on Games, September 2022


Multiagent Meta-Reinforcement Learning for Adaptive Multipath Routing Optimization

routingIn this article, we investigate the routing problem of packet networks through multiagent reinforcement learning (RL), which is a very challenging topic in distributed and autonomous networked systems. In specific, the routing problem is modeled as a networked multiagent partially observable Markov decision process (MDP). Since the MDP of a network node is not only affected by its neighboring nodes’ policies but also the network traffic demand, it becomes a multitask learning problem. Inspired by recent success of RL and metalearning, we propose two novel model-free multiagent RL algorithms, named multiagent proximal policy optimization (MAPPO) and multiagent metaproximal policy optimization (meta-MAPPO), to optimize the network performances under fixed and time-varying traffic demand, respectively. Read More

IEEE Transactions on Neural Networks and Learning Systems, October 2022


An End-to-End Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation

robot armsLearning to adapt one’s gait with environmental changes plays an essential role in the locomotion of legged robots which remains challenging for constrained computing resources and energy budget, as in the case of edge-robots. Recent advances in bio-inspired vision with dynamic vision sensors (DVSs) and associated neuromorphic processing can provide promising solutions for end-to-end sensing, cognition, and control tasks. However, such bio-mimetic closed-loop robotic systems based on event-based visual sensing and actuation in the form of spiking neural networks (SNNs) have not been well explored.Read More

IEEE Transactions on Cognitive and Developmental Systems, September 2022


Cross-Domain Modality Fusion for Dense Video Captioning

illustration of black arrowsDense video captioning requires localization and description of multiple events in long videos. Prior works detect events in videos solely relying on the visual content and completely ignore the semantics (captions) related to the events. This is undesirable because human-provided captions often also describe events that are visually nonpresent or subtle to detect. In this research, we propose to capitalize on this natural kinship between events and their human-provided descriptions. Read More

IEEE Transactions on Artificial Intelligence, October 2022

Journal Special Issues

Call For Papers for IEEE Computational Intelligence Magazine (CIM) special issue on Artificial Intelligence eXplained (AI-X)

AI solutions have demonstrated excellent performances in different fields and applications and attracted numerous people of studying. Hence, the need to explain the ideas and methods of AI to a broad audience arises. This special issue focuses on web-based interactive articles to explain AI concepts or methods, demonstrate the outcome of AI systems, and introduce non-experts to the field of AI.

This is a new type of publication, supported by IEEE Xplore. Interactive components (WebGL, Javascript) can be used for interactively analyzing a data set or a learned model. In this way, the audiences will gain access to immersive learning experiences for better understanding the methods.

Authors are required to submit a 2-page extended abstract, which describes the main concepts or methods the authors want to explain to the readers. In addition, the authors need to build a webpage to publish the full article on IEEE Xplore where they explain the concepts or methods of AI to the readers through interactive approaches.

Deadline for paper submission is 31 January 2023. For more information, please refer to CIM Information for Authors.


IEEE 2023 Congress on Evolutionary Computation 

IEEE CEC 2023 is a world-class conference that brings together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. The conference program includes plenary lectures, regular and special sessions, tutorials, competitions, workshops and panel discussions. Currently calls includes:

Competition Proposals Deadline: 11 December 2022
Paper Submission: 13 January 2023
Paper Reviews: 3 March 2023
Paper Re-submissions: 24 March 2023
Paper Final Notifications: 31 March 2023
Print-Ready Manuscripts: 15 April 2023

More details can be seen at IEEE 2023 Congress on Evolutionary Computation.
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 IEEE CIS COVID-19 Notice page as our organizers make decisions.

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

∆ The 17th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2022)
3-4 November 2022
Place: Virtual
General Co-Chairs: Phivos Mylonas and Katia-Lida Kermanidou

* IEEE Latin-America Conference on Computational Intelligence (IEEE LA-CCI 2022)
23-25 November 2022
Place: Montevideo, Urugay
General Chair: Martin Pedemonte and Hector Cancela

* 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022)
4-7 December 2022
Place: Singapore
General Chairs: Ah-Hwee Tan, Dipti Srinivasan and Chunyan Miao

* 2022 IEEE Smart World Conference (IEEE SWC 2022)
16-18 December 2022
Place: Haikou, China
General Chair: Laurence T. Yang

∆ 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
Website: TBA

* 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

* 2022 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

* 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 World Congress on Computational Intelligence (IEEE WCCI 2024)
30 June - 5 July 2024
Place: Yokohama, Japan
General Chairs: Akira Hirose and Hisao Ishibuchi
Editor Bing Xue
Victoria University of Wellington, New Zealand
Email: [email protected]

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