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ORCID15th Brain Informatics 2022: Padua, Italy
- Mufti Mahmud, Jing He, Stefano Vassanelli, André Van Zundert, Ning Zhong:
Brain Informatics - 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13406, Springer 2022, ISBN 978-3-031-15036-4
Cognitive and Computational Foundations of Brain Science
- Marco Celotto
, Stefan Lemke, Stefano Panzeri:
Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity. 3-14 - Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier:
From Concrete to Abstract Rules: A Computational Sketch. 15-26 - Marcos I. Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fassolato:
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning. 27-39 - R. Narendra, M. Suresha, V. N. Manjunatha Aradhya:
COSLETS: Recognition of Emotions Based on EEG Signals. 40-49 - Tanu Wadhera, Mufti Mahmud:
Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach. 50-61
Investigations of Human Information Processing Systems
- Dor Mizrahi, Inon Zuckerman, Ilan Laufer:
Analysis of Alpha Band Decomposition in Different Level-k Scenarios with Semantic Processing. 65-73 - Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou:
Toward the Study of the Neural-Underpinnings of Dyslexia During Final-Phoneme Elision: A Machine Learning Approach. 74-85 - Qihang Yao, Manoj Chandrasekaran, Constantine Dovrolis:
Root-Cause Analysis of Activation Cascade Differences in Brain Networks. 86-98 - Bilyana Genova, Nadejda Bocheva, Miroslava Stefanova:
Unstructured Categorization with Probabilistic Feedback: Learning Accuracy Versus Response Time. 99-113
Brain Big Data Analytics, Curation and Management
- Jacopo Bonato, Sebastiano Curreli, Tommaso Fellin, Stefano Panzeri:
Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. 117-128 - Alessia Sarica, Andrea Quattrone, Aldo Quattrone:
Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson's Disease. 129-139 - Delfina Irarte, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. 140-151 - Shivam Chaudhary, Pankaj Pandey, Krishna Prasad Miyapuram, Derek Lomas:
Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation. 152-163 - Yinhu Yu, Junhua Li:
Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification. 164-174 - Meng Jiao, Feng Liu, Onur Asan, Roshanak Nilchiani, Xinglong Ju, Jing Xiang:
Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features. 175-183 - Yu Cao, Hongzhi Kuai, Guanqiao Peng:
Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction. 184-194 - Muhammad Arifur Rahman, David J. Brown, Nicholas Shopland, Matthew C. Harris, Zakia Batool Turabee, Nadja Heym, Alexander Sumich, Brad Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew M. Burton, James Lewis, Mufti Mahmud:
Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data. 195-209 - Kashfia Sailunaz, Deniz Bestepe, Sleiman Alhajj, Tansel Özyer, Jon G. Rokne, Reda Alhajj:
Convex Hull in Brain Tumor Segmentation. 210-225
Informatics Paradigms for Brain and Mental Health Research
- Ruchi Holker, Seba Susan:
Computer-Aided Diagnosis Framework for ADHD Detection Using Quantitative EEG. 229-240 - Jasiya Fairiz Raisa, M. Shamim Kaiser, Mufti Mahmud:
A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh. 241-252 - Md. Arif Istiek Neloy, Anik Biswas, Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson:
Epilepsy Detection from EEG Data Using a Hybrid CNN-LSTM Model. 253-263 - Tahmina Akter Sumi, Tanuja Nath, Nazmun Nahar, Mohammad Shahadat Hossain, Karl Andersson:
Classifying Brain Tumor from MRI Images Using Parallel CNN Model. 264-276 - Noushath Shaffi, Faizal Hajamohideen, Mufti Mahmud, Abdelhamid Abdesselam, Karthikeyan Subramanian, Arwa Al Sariri:
Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer's Disease. 277-287 - Marisol Roldán-Palacios, Aurelio López-López:
Understanding Syntax Structure of Language After a Head Injury. 288-300 - Shafkat Raihan, Mumtahina Ahmed, Angel Sharma, Mohammad Shahadat Hossain, Raihan Ul Islam, Karl Andersson:
A Belief Rule Based Expert System to Diagnose Alzheimer's Disease Using Whole Blood Gene Expression Data. 301-315 - Changwei Gong, Changhong Jing, Junren Pan, Yishan Wang, Shuqiang Wang:
Feature-Selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. 316-326
Brain-Machine Intelligence and Brain-Inspired Computing
- Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. 329-342 - Ege de Bruin, Matthijs Weier, Jan Treur:
A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning. 343-358 - Yifeng Sun, Hao Lan Zhang, Yifan Lu, Yun Xue:
EEG Signal Classification Using Shallow FBCSP ConvNet with a New Cropping Strategy. 359-368 - Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole:
Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. 369-383
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