Connectionists: CFP: FLAIRS38, Neural Network Special Track, Daytona Beach, FL, May 20-23

[David B]

*Neural Networks and Data Mining Special Track*
<http://flairs-38.s3-website.us-east-2.amazonaws.com/>

*at the * *38th International FLAIRS Conference*
<https://www.flairs-38.info/home>

Abstract submission deadline:  January 20, 2025
Paper submission deadline: January 27, 2025
Paper Acceptance Notification: March 10, 2025



*Daytona Beach, Florida, USA, May 20-23, 2025Call for Papers*

The Florida Artificial Intelligence Research Symposium (FLAIRS) is a
medium-sized interdisciplinary AI conference which is noted for its
double-blind reviewing, free tutorials, and beautiful venues.

This special track will be devoted to neural networks and data mining with
the aim of presenting new and important contributions in these areas.
Papers and contributions are encouraged for any work related to neural
networks, data mining, or the intersection thereof.

Topics of interest may include (but are not limited to):

Applications such as Pattern Recognition, Applications, Generative AI
methods and applications, Control and Process Monitoring, Biomedical
Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems,
Signal Processing; Intelligence analysis, medical and health applications,
text, video, and multi-media mining, E-commerce and web data, financial
data analysis, cybersecurity, remote sensing, earth sciences,
bioinformatics, and astronomy.

Neural networks such as new developments in Back Propagation, RBF, SVM,
Deep Learning, Ensemble Methods, Kernel Approaches; Hybrid approaches such
as Neural Networks/Genetic Algorithms, Causal Nets trained with
Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural
network models via software or hardware.

Other modeling algorithms such as hidden Markov models, decision trees,
statistical methods, or probabilistic methods; case studies in areas of
application, or over different algorithms and approaches; graph modeling,
pattern discovery, and anomaly detection; feature extraction and selection;
post-processing techniques such as visualization, summarization, or
trending; preprocessing and data reduction;and knowledge engineering or
warehousing.

*Submission Guidelines*
 Papers must follow the FLAIRS template guidelines (
https://www.flairs-38.info/call-for-papers) and be submitted as a PDF
through the EasyChair conference system. (Do NOT use a fake name for your
EasyChair login; your EasyChair account information is hidden from
reviewers.)

FLAIRS will not accept any paper which, at the time of submission, is under
review for or has already been published or accepted for publication in a
journal or another conference. Authors are also required not to submit
their papers else where during FLAIRS's review period. These restrictions
apply only to journals and conferences, not to workshops and similar
specialized presentations with a limited audience and without archival
proceedings. Authors will be required to confirm that their submissions
conform to these requirements at the time of submission.

*Conference Proceedings*
Papers will be refereed and all accepted papers will appear in the
conference proceedings.

*Track Co-chairs:*
David Bisant, Central Security Svcs, bisant at umbc.edu
Steven Gutstein, Booz Allen Hamilton, s.m.gutstein at gmail.com
Lenin Mookiah, eBay, lenin.world at gmail.com

*Program Committee Members:*
Martin Atzmueller(University of Kassel, Germany)
Juan Banda (Montana State University, USA)
Lori Bogren (SomaLogic, USA)
Chiranjit Dutta (eBay, USA)
Sirisha Velampalli (Brane Enterprise, India)
Tomasz Palczewski (SAP, USA)
Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation)
Sheikh Rabiul Islam (University of Hartford, USA)
Lawrence Holder (Washington State University, USA)
Diane Cook (Washington State University, USA)
Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA)
Katrina Kutchko (Verizon Business Solutions, USA)
Roberto Santana (University of Basque Country, Spain)
Hujun Yin (University of Manchester, UK)
Prabin Lamichhane (Mastercard)
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