default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBrain Informatics, Volume 10
Volume 10, Number 1, December 2023
- Jetli Chung, Jason Teo
:
Single classifier vs. ensemble machine learning approaches for mental health prediction. 1 - Changwei Gong, Xinyi Chen, Bushra Mughal, Shuqiang Wang:
Addictive brain-network identification by spatial attention recurrent network with feature selection. 2 - Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang:
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. 3 - Kirill Milintsevich, Kairit Sirts, Gaël Dias:
Towards automatic text-based estimation of depression through symptom prediction. 4 - Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Arwa Al Sariri, Viswan Vimbi, Abdelhamid Abdesselam:
Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function. 5 - Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah J. Marzi, Nathan G. Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn:
Harnessing the potential of machine learning and artificial intelligence for dementia research. 6 - Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das:
Machine learning determination of applied behavioral analysis treatment plan type. 7 - Shaoyu Wei, Ruiling Zheng, Rui Li, Minghui Shi, Junsong Zhang:
Measuring cognitive load of digital interface combining event-related potential and BubbleView. 8 - Isabella Kahhale, Nicholas J. Buser, Christopher R. Madan, Jamie L. Hanson:
Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer. 9 - Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya, Yuefeng Li:
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment. 10 - Christian Goelz, Eva-Maria Reuter, Stephanie Fröhlich, Julian Rudisch, Ben Godde, Solveig Vieluf, Claudia Voelcker-Rehage:
Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan. 11 - 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. 12 - Francisco Salto, Carmen Requena, Paula Alvarez-Merino, Víctor Rodríguez, Jesús Poza, Roberto Hornero:
Electrical analysis of logical complexity: an exploratory eeg study of logically valid/invalid deducive inference. 13 - Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew C. Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew M. Burton, James Lewis:
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. 14 - Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak:
Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. 15 - Sophie Adama, Martin Bogdan:
Assessing consciousness in patients with disorders of consciousness using soft-clustering. 16 - 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. 17 - 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. 18 - Hui-Yen Yap, Yun-Huoy Choo, Zeratul Izzah Mohd Yusoh, Wee-How Khoh:
An evaluation of transfer learning models in EEG-based authentication. 19 - Baraka Jacob Maiseli, Abdi T. Abdalla, Libe V. Massawe, Mercy Mbise, Khadija Mkocha, Nassor Ally Nassor, Moses Ismail, James Michael, Samwel Kimambo:
Brain-computer interface: trend, challenges, and threats. 20 - Siaw-Hong Liew, Yun-Huoy Choo, Yin Fen Low, Fadilla 'Atyka Nor Rashid:
Distraction descriptor for brainprint authentication modelling using probability-based Incremental Fuzzy-Rough Nearest Neighbour. 21 - Jie Pan, Zilong Zhang, Steven Ray Peters, Shabnam Vatanpour, Robin L. Walker, Seungwon Lee, Elliot A. Martin, Hude Quan:
Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing. 22 - Patricia Maraver, Carolina Tecuatl, Giorgio A. Ascoli:
Automatic identification of scientific publications describing digital reconstructions of neural morphology. 23 - Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton, Hans W. Guesgen:
Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. 24 - Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi:
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. 25 - 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. 26 - 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. 27 - Abinaya Gopalakrishnan, Raj Gururajan, Revathi Venkataraman, Xujuan Zhou, Ka Ching Chan, Arul Saravanan, Maitrayee Sen:
Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media. 28 - Lena Kopnarski, Laura Lippert, Julian Rudisch, Claudia Voelcker-Rehage:
Predicting object properties based on movement kinematics. 29 - Sharan J. Prakash, Kimberly M. Van Auken, David P. Hill, Paul W. Sternberg:
Semantic representation of neural circuit knowledge in Caenorhabditis elegans. 30 - Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Fulvia Arcuri, Andrea Quattrone, Aldo Quattrone:
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. 31 - Giacomo Serra, Francesca Mainas, Bruno Golosio, Alessandra Retico, Piernicola Oliva:
Effect of data harmonization of multicentric dataset in ASD/TD classification. 32 - 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. 33 - Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri:
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. 34
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-07 20:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
