Open Science Research Excellence

ICBMCS 2020 : International Conference on Bayesian Models for Cognitive Science

Lisbon, Portugal
February 6 - 7, 2020

Conference Code: 20PT02ICBMCS

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICBMCS 2020 has teamed up with the Special Journal Issue on Bayesian Models for Cognitive Science. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 30, 2020
Conference Dates   February 6 - 7, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) A Generalized Sparse Bayesian Learning Algorithm for Near-Field Synthetic Aperture Radar Imaging: By Exploiting Impropriety and Noncircularity
Pan Long, Bi Dongjie, Li Xifeng, Xie Yongle
2) Role-Governed Categorization and Category Learning as a Result from Structural Alignment: The RoleMap Model
Yolina A. Petrova, Georgi I. Petkov
3) Human Action Recognition Using Variational Bayesian HMM with Dirichlet Process Mixture of Gaussian Wishart Emission Model
Wanhyun Cho, Soonja Kang, Sangkyoon Kim, Soonyoung Park
4) FEM Models of Glued Laminated Timber Beams Enhanced by Bayesian Updating of Elastic Moduli
L. Melzerová, T. Janda, M. Šejnoha, J. Šejnoha
5) Generalized Mean-field Theory of Phase Unwrapping via Multiple Interferograms
Yohei Saika
6) Establishing a Probabilistic Model of Extrapolated Wind Speed Data for Wind Energy Prediction
Mussa I. Mgwatu, Reuben R. M. Kainkwa
7) Production Throughput Modeling under Five Uncertain Variables Using Bayesian Inference
Amir Azizi, Amir Yazid B. Ali, Loh Wei Ping
8) Bayesian Inference for Phase Unwrapping Using Conjugate Gradient Method in One and Two Dimensions
Yohei Saika, Hiroki Sakaematsu, Shota Akiyama
9) Maximizer of the Posterior Marginal Estimate of Phase Unwrapping Based On Statistical Mechanics of the Q-Ising Model
Yohei Saika, Tatsuya Uezu
10) Estimation of Bayesian Sample Size for Binomial Proportions Using Areas P-tolerance with Lowest Posterior Loss
H. Bevrani, N. Najafi
11) Learning a Song: an ACT-R Model
Belkacem Chikhaoui, Helene Pigot, Mathieu Beaudoin,Guillaume Pratte, Philippe Bellefeuille, Fernando Laudares
12) Stochastic Learning Algorithms for Modeling Human Category Learning
Toshihiko Matsuka, James E. Corter

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