Random Generation of Bayesian Networks. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (SBIA, 2002)

Generating Random Bayesian Networks with Constraints on Induced Width. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman; Fabio Tozeto Ramos (ECAI, 2004)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat. - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (UAI, 2004)

Approximate Inference in Credal Networks by Variational Mean Field Methods. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (ISIPTA, 2005)

Binarization Algorithms for Approximate Updating in Credal Nets. - Alessandro Antonucci 001; Marco Zaffalon; Jaime Shinsuke Ide; Fábio Gagliardi Cozman (STAIRS, 2006)

Robust Brain Registration Using Adaptive Probabilistic Atlas. - Jaime S. Ide; Rong Chen 005; Dinggang Shen; Edward Herskovits (MICCAI (2), 2008)

Approximate algorithms for credal networks with binary variables. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2008)

Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering. - Fabio A. M. Cappabianco; Jaime S. Ide; Alexandre X. Falcão; Chiang-shan Ray Li (ICIP, 2011)

A cerebellar thalamic cortical circuit for error-related cognitive control. - Jaime S. Ide; Chiang-shan Ray Li (NeuroImage, 2011)

Unraveling the Compromise between Skull Stripping and Inhomogeneity Correction in 3T MR Images. - Fabio A. M. Cappabianco; Paulo A. V. de Miranda; Jaime S. Ide; Clarissa L. Yasuda; Alexandre X. Falcão (SIBGRAPI, 2012)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (CoRR, 2012)

A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images. - Paulo A. V. Miranda; Fabio A. M. Cappabianco; Jaime S. Ide (ICIP, 2013)

Bayesian network models in brain functional connectivity analysis. - Jaime S. Ide; Sheng Zhang 005; Chiang-shan Ray Li (Int. J. Approx. Reason., 2014)

Resting state functional connectivity of the basal nucleus of Meynert in humans: In comparison to the ventral striatum and the effects of age. - Chiang-shan Ray Li; Jaime S. Ide; Sheng Zhang 005; Sien Hu; Herta H. Chao; Laszlo Zaborszky (NeuroImage, 2014)

Anticipating conflict: Neural correlates of a Bayesian belief and its motor consequence. - Sien Hu; Jaime S. Ide; Sheng Zhang 005; Chiang-shan Ray Li (NeuroImage, 2015)

Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study. - Fabio A. M. Cappabianco; Lucas Santana Lellis; Paulo A. V. Miranda; Jaime S. Ide; Lilianne R. Mujica-Parodi (CIARP, 2016)

Information fusion for cocaine dependence recognition using fMRI. - Fábio Augusto Faria; Fabio A. M. Cappabianco; Chiang-shan R. Li; Jaime S. Ide (ICPR, 2016)

Introduction to Research in Magnetic Resonance Imaging. - Fabio Augusto Menocci Cappabianco; Claudio Saburo Shida; Jaime Shinsuke Ide (SIBGRAPI Tutorials, 2016)

Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. - Jeferson S. Santos; Ricardo Manhães Savii; Jaime S. Ide; Chiang-shan R. Li; Marcos G. Quiles; Márcio P. Basgalupp (ICCSA (1), 2017)

Detrended Partial Cross Correlation for Brain Connectivity Analysis. - Jaime S. Ide; Fabio Augusto Cappabianco; Fábio Augusto Faria; Chiang-shan R. Li (NIPS, 2017)

Problem Drinking, Alcohol Expectancy, and Thalamic Resting-State Functional Connectivity in Nondependent Adult Drinkers. - Simon Zhornitsky; Jaime S. Ide; Wuyi Wang; Herta H. Chao; Sheng Zhang 005; Sien Hu; John H. Krystal; Chiang-shan R. Li (Brain Connect., 2018)

Time scale properties of task and resting-state functional connectivity: Detrended partial cross-correlation analysis. - Jaime S. Ide; Chiang-shan R. Li (NeuroImage, 2018)

Oxytocin attenuates trust as a subset of more general reinforcement learning, with altered reward circuit functional connectivity in males. - Jaime S. Ide; Sanja Nedic; Kin F. Wong; Shmuel L. Strey; Elizabeth A. Lawson; Bradford C. Dickerson; Lawrence L. Wald; Giancarlo La Camera; Lilianne R. Mujica-Parodi (NeuroImage, 2018)

Non-Local Operational Anisotropic Diffusion Filter. - Fábio A. M. Cappabianco; Sergio Ronaldo Barros dos Santos; Jaime S. Ide; Petrus P. C. E. da Silva (ICIP, 2019)

Model testing for distinctive functional connectivity gradients with resting-state fMRI data. - Jonathan F. O'Rawe; Jaime S. Ide; Hoi-Chung Leung (NeuroImage, 2019)

Gray matter volumetric correlates of behavioral activation and inhibition system traits in children: An exploratory voxel-based morphometry study of the ABCD project data. - Jaime S. Ide; Huey-Ting Li; Yu Chen 045; Thang M. Le; Clara S. P. Li; Simon Zhornitsky; Chiang-shan Ray Li (NeuroImage, 2020)

An egg image noise model for digital visual counting processing. - Carlos Alberto Ramirez Behaine; Jaime S. Ide (SIBGRAPI, 2021)

Hierarchical Reinforcement Learning for Air-to-Air Combat. - Adrian P. Pope; Jaime S. Ide; Daria Micovic; Henry Díaz; David Rosenbluth; Lee Ritholtz; Jason C. Twedt; Thayne T. Walker; Kevin Alcedo; Daniel Javorsek (CoRR, 2021)

Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications. - Wanlin Xie; Jaime S. Ide; Daniel Izadi; Sean Banger; Thayne T. Walker; Ryan Ceresani; Dylan Spagnuolo; Christopher Guagliano; Henry Díaz; Jason C. Twedt (CoRR, 2021)

Soft Actor-Critic with Inhibitory Networks for Faster Retraining. - Jaime S. Ide; Daria Micovic; Michael J. Guarino; Kevin Alcedo; David Rosenbluth; Adrian P. Pope (CoRR, 2022)

Multi-Agent Reinforcement Learning with Epistemic Priors. - Thayne T. Walker; Jaime S. Ide; Minkyu Choi 001; Michael J. Guarino; Kevin Alcedo (CoDIT, 2023)

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. - Adrian P. Pope; Jaime S. Ide; Daria Micovic; Henry Díaz; Jason C. Twedt; Kevin Alcedo; Thayne T. Walker; David Rosenbluth; Lee Ritholtz; Daniel Javorsek (IEEE Trans. Artif. Intell., 2023)

Hierarchical Multi-agent Reinforcement Learning with Epistemic Priors for Scalable Communicationless Coordination of Teamable Agents. - Thayne T. Walker; Jaime S. Ide (IEA/AIE (1), 2025)