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ORCID13th Brain Informatics 2020: Padua, Italy
- Mufti Mahmud
, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong:
Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science 12241, Springer 2020, ISBN 978-3-030-59276-9
Cognitive and Computational Foundations of Brain Science
- Sophie van't Hof, Arja Rydin, Jan Treur, Paul Enzlin:
An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder. 3-15 - Fakhra Jabeen, Charlotte Gerritsen, Jan Treur:
Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence. 16-28 - Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data. 29-40 - Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games. 41-49 - Ryan Sharpe, Mufti Mahmud:
Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition. 50-61
Investigations of Human Information Processing Systems
- Bin Zhao, Gaoyan Zhang, Jianwu Dang:
Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception. 65-74 - Sukesh Das, Anil Kumar Sao, Bharat B. Biswal:
Precise Estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition. 75-84 - Juan Ruiz, Mufti Mahmud, Md. Modasshir, M. Shamim Kaiser:
3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease. 85-96 - Rohan Gandhi, Arun Garimella, Petri Toiviainen, Vinoo Alluri:
Dynamic Functional Connectivity Captures Individuals' Unique Brain Signatures. 97-106 - Vishnu Moorthigari, Emily Carlson, Petri Toiviainen, Elvira Brattico, Vinoo Alluri:
Differential Effects of Trait Empathy on Functional Network Centrality. 107-117 - Brian O'Leary, Chia-Hao Shih, Tian Chen, Hong Xie, Andrew S. Cotton, Kevin S. Xu, Rajendra A. Morey, Xin Wang:
Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses - Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup. 118-127 - C. Naveena, Poornachandra Sandur, V. N. Manjunath Aradhya:
Segmentation of Brain Tumor Tissues in Multi-channel MRI Using Convolutional Neural Networks. 128-137
Brain Big Data Analytics, Curation and Management
- Aref EshghiShargh, Kathleen Gray, Scott C. Kolbe:
Resolving Neuroscience Questions Using Ontologies and Templates. 141-150 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources. 151-162 - Marlen Sofía Muñoz, Camilo Ernesto Sarmiento Torres, Diego M. López, Ricardo Salazar Cabrera, Rubiel Vargas-Cañas:
Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning. 163-172 - Md. Sakibur Rahman Sajal, Md. Tanvir Ehsan, Ravi Vaidyanathan, Shouyan Wang, Tipu Z. Aziz, Khondaker Abdullah Al Mamun:
UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones. 173-182 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis. 183-193 - Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson:
A Machine Learning Based Fall Detection for Elderly People with Neurodegenerative Disorders. 194-203 - Md. Nahiduzzaman, Moumitu Tasnim, Nishat Tasnim Newaz, M. Shamim Kaiser, Mufti Mahmud:
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion. 204-214
Informatics Paradigms for Brain and Mental Health Research
- Bas Chatel, Atke Visser, Nimat Ullah:
A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies. 217-226 - Brian Penchina, Avirath Sundaresan, Sean Cheong, Adrien Martel:
Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents with Autism. 227-238 - Shelia Rahman, Tanusree Sharma, Mufti Mahmud:
Improving Alcoholism Diagnosis: Comparing Instance-Based Classifiers Against Neural Networks for Classifying EEG Signal. 239-250 - Md. Hasan Al Banna, Tapotosh Ghosh, Kazi Abu Taher, M. Shamim Kaiser, Mufti Mahmud:
A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. 251-262 - Sabrina Jesmin, M. Shamim Kaiser, Mufti Mahmud:
Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. 263-274 - M. Jaber Al Nahian, Tapotosh Ghosh, Mohammed Nasir Uddin, Md. Maynul Islam, Mufti Mahmud, M. Shamim Kaiser:
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. 275-286 - Sharif Noor Zisad, Mohammad Shahadat Hossain, Karl Andersson:
Speech Emotion Recognition in Neurological Disorders Using Convolutional Neural Network. 287-296 - Md. Shahriare Satu, Shelia Rahman, Md. Imran Khan, Mohammad Zoynul Abedin, M. Shamim Kaiser, Mufti Mahmud:
Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network. 297-306
Brain-Machine Intelligence and Brain-Inspired Computing
- Taweesak Emsawas, Tsukasa Kimura, Ken-ichi Fukui, Masayuki Numao:
Comparative Study of Wet and Dry Systems on EEG-Based Cognitive Tasks. 309-318 - Nikolaos Andreakos, Shigang Yue, Vassilis Cutsuridis:
Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus. 319-328 - Qiang Li, Jesus Malo:
Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation. 329-337 - Hao Lan Zhang, Sanghyuk Lee, Jing He:
An Optimized Self-adjusting Model for EEG Data Analysis in Online Education Processes. 338-348 - Leo Kozachkov, Konstantinos P. Michmizos:
Sequence Learning in Associative Neuronal-Astrocytic Networks. 349-360 - Abdullah Al-Mamun Bulbul, Md. Abdul Awal, Kumar Debjit:
EEG Based Sleep-Wake Classification Using JOPS Algorithm. 361-371
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