• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 227 matches

• 2024
• 
  Navneet Agarwal, Gaël Dias, Sonia Dollfus:
  Multi-view graph-based interview representation to improve depression level estimation. Brain Informatics 11(1): 14 (2024)
• 
  Atefe Aghaei, Mohsen Ebrahimi Moghaddam:
  Brain age gap estimation using attention-based ResNet method for Alzheimer's disease detection. Brain Informatics 11(1): 16 (2024)
• 
  Muhammad Atta Othman Ahmed, Yasser AbdelSatar, Eed M. Darwish, Elnomery Allam Zanaty:
  Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics. Brain Informatics 11(1): 3 (2024)
• 
  Rajdeep Bhadra, Pawan Kumar Singh, Mufti Mahmud:
  HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals. Brain Informatics 11(1): 21 (2024)
• 
  Keerthi S. Chandran, Kuntal Ghosh:
  A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus. Brain Informatics 11(1): 18 (2024)
• 
  Yoon Kyoung Choi, Linqing Feng, Won-Ki Jeong, Jinhyun Kim:
  Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity. Brain Informatics 11(1): 15 (2024)
• 
  J. Farineau, Rémy Lestienne:
  Cortical dynamics of perception as trains of coherent gamma oscillations, with the pulvinar as central coordinator. Brain Informatics 11(1): 20 (2024)
• 
  Ilaria Gigi, Rosa Senatore, Angelo Marcelli:
  The onset of motor learning impairments in Parkinson's disease: a computational investigation. Brain Informatics 11(1): 4 (2024)
• 
  Jamie L. Hanson, Dorthea J. Adkins, Eva Bacas, Peiran Zhou:
  Examining the reliability of brain age algorithms under varying degrees of participant motion. Brain Informatics 11(1): 9 (2024)
• 
  Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao, Shuqiang Wang:
  Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. Brain Informatics 11(1): 1 (2024)
• 
  Md. Fazlul Karim Khondakar, Md. Hasib Sarowar, Mehdi Hasan Chowdhury, Sumit Majumder, Md. Azad Hossain, M. Ali Akber Dewan, Quazi Delwar Hossain:
  A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques. Brain Informatics 11(1): 17 (2024)
• 
  Rene Lehmann, Bodo Vogt:
  Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach. Brain Informatics 11(1): 19 (2024)
• 
  Kaida Ning, Pascale B. Cannon, Jiawei Yu, Srinesh Shenoi, Lu Wang, Joydeep Sarkar:
  3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores. Brain Informatics 11(1): 5 (2024)
• 
  Pragati Patel, Sivarenjani Balasubramanian, Ramesh Naidu Annavarapu:
  Cross subject emotion identification from multichannel EEG sub-bands using Tsallis entropy feature and KNN classifier. Brain Informatics 11(1): 7 (2024)
• 
  Wei Pei, Yan Li, Peng Wen, Fuwen Yang, Xiaopeng Ji:
  An automatic method using MFCC features for sleep stage classification. Brain Informatics 11(1): 6 (2024)
• 
  Sharan J. Prakash, Kimberly M. Van Auken, David P. Hill, Paul W. Sternberg:
  Correction: Semantic representation of neural circuit knowledge in Caenorhabditis elegans. Brain Informatics 11(1): 13 (2024)
• 
  Diah Risqiwati, Adhi Dharma Wibawa, Evi Septiana Pane, Eko Mulyanto Yuniarno, Wardah Rahmatul Islamiyah, Mauridhi Hery Purnomo:
  Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation. Brain Informatics 11(1): 12 (2024)
• 
  Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico:
  Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders. Brain Informatics 11(1): 2 (2024)
• 
  Andrés Felipe Soler, Eduardo Giraldo, Marta Molinas:
  EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels. Brain Informatics 11(1): 11 (2024)
• 
  Viswan Vimbi, Noushath Shaffi, Mufti Mahmud:
  Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection. Brain Informatics 11(1): 10 (2024)
• 
  Xiaojia Wang, Yanchao Liu, Chunfeng Yang:
  Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy. Brain Informatics 11(1): 22 (2024)
• 
  Shihao Yang, Meng Jiao, Jing Xiang, Neel Fotedar, Hai Sun, Feng Liu:
  Rejuvenating classical brain electrophysiology source localization methods with spatial graph Fourier filters for source extents estimation. Brain Informatics 11(1): 8 (2024)
• 2023
• 
  Sophie Adama, Martin Bogdan:
  Assessing consciousness in patients with disorders of consciousness using soft-clustering. Brain Informatics 10(1): 16 (2023)
• 
  Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakrabarti, Tulika Chakrabarti, Ahmed A. Elngar, Ali-Mohammad Kamali, Mohammad Nami:
  A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Informatics 10(1): 17 (2023)
• 
  Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain:
  Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023)
• 
  Puskar Bhattarai, Ahmed Taha, Bhavin Soni, Deepa S. Thakuri, Erin Ritter, Ganesh B. Chand:
  Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning. Brain Informatics 10(1): 33 (2023)
• 
  Andrea Bianconi, Luca Francesco Rossi, Marta Bonada, Pietro Zeppa, Elsa Nico, Raffaele De Marco, Paola Lacroce, Fabio Cofano, Francesco Bruno, Giovanni Morana, Antonio Melcarne, Roberta Ruda, LuLuca T. Mainardi, Pietro Fiaschi, Diego Garbossa, Lia Morra:
  Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. Brain Informatics 10(1): 26 (2023)
• 
  Tianhua Chen:
  Investigating the mental health of university students during the COVID-19 pandemic in a UK university: a machine learning approach using feature permutation importance. Brain Informatics 10(1): 27 (2023)
• 
  Jetli Chung, Jason Teo:
  Single classifier vs. ensemble machine learning approaches for mental health prediction. Brain Informatics 10(1): 1 (2023)
• 
  Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera, Mauricio O. Nava-Mesa:
  BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals. Brain Informatics 10(1): 12 (2023)

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