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ORCID14th Brain Informatics 2021: Virtual Event
- Mufti Mahmud
, M. Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong:
Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings. Lecture Notes in Computer Science 12960, Springer 2021, ISBN 978-3-030-86992-2
Cognitive and Computational Foundations of Brain Science
- Pablo Martínez-Cañada, Shahryar Noei, Stefano Panzeri:
Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram Measures. 3-12 - Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov:
Intrinsic Motivation to Learn Action-State Representation with Hierarchical Temporal Memory. 13-24 - Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players' Behavior in Divergent Interest Tacit Coordination Games. 25-34 - Mai Gamal, Eslam Mounier, Seif Eldawlatly:
On the Extraction of High-Level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study. 35-45 - Marisol Roldán-Palacios, Aurelio López-López:
Disfluency as an Indicator of Cognitive-Communication Disorder Through Learning Methods. 46-56 - Qiang Li:
Bidirected Information Flow in the High-Level Visual Cortex. 57-66 - Laila van Ments, Jan Treur, Jan Klein, Peter Roelofsma:
A Computational Network Model for Shared Mental Models in Hospital Operation Rooms. 67-78 - Paola Di Maio:
System Level Knowledge Representation for Metacognition in Neuroscience. 79-88 - Pankaj Pandey, Pragati Gupta, Krishna Prasad Miyapuram:
Brain Connectivity Based Classification of Meditation Expertise. 89-98 - Hongzhi Kuai, Jianhui Chen, Xiaohui Tao, Kazuyuki Imamura, Peipeng Liang, Ning Zhong:
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications. 99-111
Investigations of Human Information Processing Systems
- Pablo Martínez-Cañada, Stefano Panzeri:
Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters. 115-123 - Hadri Hussain, Chee-Ming Ting, Muhammad Arif Jalil, Kanad Ray, Syed Zuhaib Haider Rizvi, Jacob Kavikumar, Fuad M. Noman, Ahmad Zubaidi Ahmad Zubaidi, Yin Fen Low, Sh-Hussain, Mufti Mahmud, M. Shamim Kaiser, Jalil Ali:
Identifying Individuals Using EEG-Based Brain Connectivity Patterns. 124-135 - Yan Li, Haolan Zhang, Yifan Lu, Huiming Tang:
A Novel Hybrid Model for Brain Functional Connectivity Based on EEG. 136-145 - Muhammad Atif, Valentina Franzoni, Alfredo Milani:
Emojis Pictogram Classification for Semantic Recognition of Emotional Context. 146-156 - Shamim Al Mamun, M. Shamim Kaiser, Mufti Mahmud:
An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. 157-169 - Gulmira Bekmanova, Banu Zh. Yergesh, Altynbek Sharipbay:
Sentiment Analysis Model Based on the Word Structural Representation. 170-178 - James J. Deng, Clement H. C. Leung:
Towards Learning a Joint Representation from Transformer in Multimodal Emotion Recognition. 179-188 - Valentina Franzoni, Niccolò Di Marco, Giulio Biondi, Alfredo Milani:
Virtual Reality for Enhancement of Emotional Mindset in the First Lockdown of United Kingdom for the Covid-19 Pandemics. 189-198 - Jiajing Li, Jie Bai, Ziying Li, Yang Yang, Xiuya Lei:
Study on the Influencing Factors of Short Video Users' Subjective Well-Being. 199-210 - Marco Zorzi, Michele De Filippo De Grazia, Elvio Blini, Alberto Testolin:
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes. 211-222
Brain Big Data Analytics, Curation and Management
- Paola Di Maio:
System Level Knowledge Analysis and Keyword Extraction in Neuroscience. 225-234 - Ashika Sharma, Jaikishan Jayakumar, Namrata Sankaran, Partha P. Mitra, Sutanu Chakraborti, P. Sreenivasa Kumar:
ConnExt-BioBERT: Leveraging Transfer Learning for Brain-Connectivity Extraction from Neuroscience Articles. 235-244 - Tapotosh Ghosh, Md. Hasan Al Banna, Tazkia Mim Angona, M. Jaber Al Nahian, Mohammed Nasir Uddin, M. Shamim Kaiser, Mufti Mahmud:
An Attention-Based Mood Controlling Framework for Social Media Users. 245-256 - Aref EshghiShargh, Kathleen Gray:
Analysing, Representing and Classifying Neuroscience Questions Using Ontologies. 257-266 - Dhananjay Sonawane, Pankaj Pandey, Dyutiman Mukhopadhyay, Krishna Prasad Miyapuram:
Movie Identification from Electroencephalography Response Using Convolutional Neural Network. 267-276 - Sara L. Ludvigsen, Emma H. Buøen, Andrés Felipe Soler, Marta Molinas:
Searching for Unique Neural Descriptors of Primary Colours in EEG Signals: A Classification Study. 277-286 - Sumit Chakravarty, Ying Xie, Linh Le, John Johnson, Michael Hales:
Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network. 287-298 - Lianfang Ma, Jianhui Chen, Ning Zhong:
An Image-Enhanced Topic Modeling Method for Neuroimaging Literature. 299-309 - Ziwei Wang, Paolo Mengoni:
Frequency Bands Selection for Seizure Classification and Forecasting Using NLP, Random Forest and SVM Models. 310-320 - Rozaliya Amirova, Gcinizwe Dlamini, Vladimir Ivanov, Sergey Masyagin, Aldo Spallone, Giancarlo Succi, Herman Tarasau:
Using Tools for the Analysis of the Mental Activity of Programmers. 321-337
Informatics Paradigms for Brain and Mental Health Research
- Alessia Sarica, Andrea Quattrone, Aldo Quattrone:
Explainable Boosting Machine for Predicting Alzheimer's Disease from MRI Hippocampal Subfields. 341-350 - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals. 351-365 - Md. Mahmodul Hasan, Md. Asaduzzaman, Mohammad Motiur Rahman, Mohammad Shahadat Hossain, Karl Andersson:
D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets. 366-377 - Afsana Binte Rakib, Esika Arifin Rumky, Ananna J. Ashraf, Md. Monsur Hillas, Muhammad Arifur Rahman:
Mental Healthcare Chatbot Using Sequence-to-Sequence Learning and BiLSTM. 378-387 - Shafkat Raihan, Sharif Noor Zisad, Raihan Ul Islam, Mohammad Shahadat Hossain, Karl Andersson:
A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson's Disease Diagnosis. 388-400 - Tania Akter, Mohammad Hanif Ali, Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud:
Towards Autism Subtype Detection Through Identification of Discriminatory Factors Using Machine Learning. 401-410 - Milon Biswas, Ashiqur Rahman, M. Shamim Kaiser, Shamim Al Mamun, K. Shayekh Ebne Mizan, Mohammad Shahidul Islam, Mufti Mahmud:
Indoor Navigation Support System for Patients with Neurodegenerative Diseases. 411-422 - Sean A. Knox, Tianhua Chen, Pan Su, Grigoris Antoniou:
A Parallel Machine Learning Framework for Detecting Alzheimer's Disease. 423-432 - Nanziba Basnin, Tahmina Akter Sumi, Mohammad Shahadat Hossain, Karl Andersson:
Early Detection of Parkinson's Disease from Micrographic Static Hand Drawings. 433-447 - Milon Biswas, M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun, Mohammad Shahadat Hossain, Muhammad Arifur Rahman:
An XAI Based Autism Detection: The Context Behind the Detection. 448-459
Brain-Machine Intelligence and Brain-Inspired Computing
- Jianzhuo Yan, Jinnan Li, Hongxia Xu, Yongchuan Yu, Lexin Pan, Xuerui Cheng, Shaofeng Tan:
EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network. 463-473 - Yonghao Ren, Shuo Zhang, Jing Wang, Runzhi Li:
TSC-MI: A Temporal Spatial Convolution Neural Network Fused with Mutual Information for Motor Imagery Based EEG Classification. 474-485 - Kushpal Singh Yadav, Krishna Prasad Miyapuram:
A Novel Approach Towards Early Detection of Alzheimer's Disease Using Deep Learning on Magnetic Resonance Images. 486-495 - Nazmun Nahar, Ferdous Ara, Md. Arif Istiek Neloy, Anik Biswas, Mohammad Shahadat Hossain, Karl Andersson:
Feature Selection Based Machine Learning to Improve Prediction of Parkinson Disease. 496-508 - Saima Akbar, Ana María Martínez Enríquez, Muhammad Aslam, Rabeeya Saleem:
Feature Analysis of EEG Based Brain-Computer Interfaces to Detect Motor Imagery. 509-518 - Youpeng Yang, Haolan Zhang, Sanghyuk Lee:
EEG Signal Discrimination with Permutation Entropy. 519-528 - Xingsen Li, Haibin Pi, Haolan Zhang:
Human-Computer Interaction Model for Brainstorming Based on Extenics. 529-535 - Nanziba Basnin, Nazmun Nahar, Fahmida Ahmed Anika, Mohammad Shahadat Hossain, Karl Andersson:
Deep Learning Approach to Classify Parkinson's Disease from MRI Samples. 536-547 - Yifan Lu, Guanghui Song, Haolan Zhang:
Automatic Pose and Shape Initialization via Multiview Silhouette Images. 548-557 - Sajeev Kunjan, Tyler S. Grummett, Kenneth J. Pope, David M. W. Powers, Sean P. Fitzgibbon, Tarun Bastiampillai, Malcolm Battersby, Trent W. Lewis:
The Necessity of Leave One Subject Out (LOSO) Cross Validation for EEG Disease Diagnosis. 558-567
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