Sunday, 28 March 2021

Call for Nominations

We are looking for keen members ready for tackling our key leadership positions. If you have a passion for conferences, finance, or our technical activities, we want to hear from you. Get your applications in by 15 May 2021 https://cis.ieee.org/getting-involved/cfnominations

Saturday, 20 February 2021

Neural Networks and Learning Systems

For a comprehensive review of Graph #NeuralNetworks, check out this survey article in @ieee Transactions on Neural Networks and Learning Systems

Thursday, 18 February 2021

Congratulations to the Class of 2021 IEEE Fellows

We congratulate our Class of 2021 IEEE Fellows, including Huang De Shuang, Joao Gama, Jonathan Garibaldi, Lise Getoor, Xiafeng Liao, Jose Lozano, Bal-lian Lu, Vincent Tesng, and Ganesh Venayagamoorthy. https://cis.ieee.org/professional-development/fellows Nominations for the 2022 class are due 1 March 2021

Thursday, 4 February 2021

Lotfi Zadeh Centenary Celebration

The IEEE Computational Intelligence Society (IEEE CIS) and the International Fuzzy Systems Association (IFSA) have decided to jointly celebrate the centenary of Lotfi A. Zadeh (1921-2017), to pay tribute to the creator of fuzzy set theory, an active member of both our societies.

Please visit our page dedicated to Lofti Zadeh work and life: https://cis.ieee.org/about/history/lotfi-zadeh-s-centenary-birthday-celebration

Sunday, 31 January 2021

IEEE ICDL Call for Paper

IEEE ICDL is ready for your conference paper on #cognitive and #development learning in fields of computer science, robotics, and psychology. Submit before 15 Feb https://www.icdl-2021.org/

Thursday, 21 January 2021

𝐈𝐄𝐄𝐄 𝐂𝐈𝐒 𝐖𝐞𝐛𝐢𝐧𝐚𝐫: 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐈𝐦𝐚𝐠𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬


Thu, Feb 11, 2021 9:30 PM - 10:30 PM EST Registration: https://register.gotowebinar.com/register/8556870490711324942 Abstract: Medical imaging inherently entails imperfection, and is therefore an appropriate domain for involving computational intelligence. We introduce the concepts of quantitative imaging and radiomics, followed by a discussion on segmentation by clustering. Next we describe an automated and fast detection algorithm for brain tumor in MRI, and its efficient segmentation. Visual saliency is utilized for a fast localization and detection of the tumor. Use of just a single user-provided seed for an efficient delineation of the GBM tumor is also elaborated. The role of neuro-fuzzy feature selection in brain tumor detection and its classification is also detailed. Finally a discussion on Radiogenomics, and Personalized Medicine concludes the talk. #Webinar #Biomedical #PersonalizedMedicine #radiomics

Tuesday, 19 January 2021

𝟐𝟎𝟐𝟏 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 Mar 2021.

More information on the scheme can be found on the CIS Graduate Student Research Grants webpage.

Tuesday, 12 January 2021

Machine Learning in a Data-Driven Business Environment

Do you comprehend diverse enterprise data sources for machine learning? Learn about it with the course Machine Learning in a Data-Driven Business Environment, available on the IEEE Learning Network.#ML #MachineLearning https://bit.ly/2Xz8YZj
Instructor: Dr. Scott is a Senior Member of the IEEE Computational Intelligence Society and the IEEE Geoscience Remote Sensing Society.