David McAlpine

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All published works

Action	Title	Year	Authors
+ PDF Chat	Latency correction in sparse neuronal spike trains with overlapping global events	2024	Andrea Mariani Federico Senocrate Jason Mikiel‐Hunter David McAlpine Barbara Beiderbeck Michael Pecka Kevin Lin Thomas Kreuz
+ PDF Chat	Graph Neural Networks for Brain Graph Learning: A Survey	2024	Xuexiong Luo Jia Wu Jian Yang Shan Xue Amin Beheshti Quan Z. Sheng David McAlpine Paul F. Sowman Alexis Giral Philip S. Yu
+ PDF Chat	Graph Neural Networks for Brain Graph Learning: A Survey	2024	Xuexiong Luo Jia Wu Jian Yang Shan Xue Amin Beheshti Quan Z. Sheng David McAlpine Paul F. Sowman Alexis Giral Philip S. Yu
+ PDF Chat	Cortical haemodynamic responses predict individual ability to recognise vocal emotions with uninformative pitch cues but do not distinguish different emotions	2023	Ryssa Moffat Deniz Başkent Robert Luke David McAlpine Lindsey Van Yper
+	Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI	2023	Hengjin Ke Dan Chen Quanming Yao Yunbo Tang Jia Wu Jessica J. M. Monaghan Paul F. Sowman David McAlpine
+ PDF Chat	Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis	2022	Yun Li Zhe Liu Lina Yao Jessica J. M. Monaghan David McAlpine
+ PDF Chat	1482 Prognostic accuracy of triage tools for adults with suspected COVID-19 in a middle-income setting	2022	Carl Marincowitz Laura Sbaffi Peter Hodkinson David McAlpine Madina Hasan Gordon Fuller Steve Goodacre Yasein Omer Peter A. Bath
+	Cortical haemodynamic responses predict individual ability to recognise vocal emotions with uninformative pitch cues but do not distinguish different emotions	2022	Ryssa Moffat Deniz Başkent Robert Luke David McAlpine Lindsey Van Yper
+ PDF Chat	Deep reinforcement learning guided graph neural networks for brain network analysis	2022	Xusheng Zhao Jia Wu Hao Peng Amin Beheshti Jessica J. M. Monaghan David McAlpine Heivet Hernández-Pérez Mark Dras Qiong Dai Yangyang Li
+	Deep reinforcement learning guided graph neural networks for brain network analysis	2022	Xusheng Zhao Jia Wu Hao Peng Amin Beheshti Jessica J. M. Monaghan David McAlpine Heivet Hernández-Pérez Mark Dras Qiong Dai Yangyang Li
+	Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis	2022	Yun Li Zhe Liu Lina Yao Jessica J. M. Monaghan David McAlpine
+ PDF Chat	A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers	2020	Xiang Zhang Lina Yao Xianzhi Wang Jessica J. M. Monaghan David McAlpine Yu Zhang
+	A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.	2019	Xiang Zhang Lina Yao Xianzhi Wang Jessica J. M. Monaghan David McAlpine
+	A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers	2019	Xiang Zhang Lina Yao Xianzhi Wang Jessica J. M. Monaghan David McAlpine Yu Zhang

Common Coauthors

Coauthor	Papers Together
Jessica J. M. Monaghan	8
Lina Yao	5
Jia Wu	5
Amin Beheshti	4
Philip S. Yu	4
Xianzhi Wang	3
Paul F. Sowman	3
Xusheng Zhao	2
Deniz Başkent	2
Heivet Hernández-Pérez	2
Xuexiong Luo	2
Mark Dras	2
Robert Luke	2
Lindsey Van Yper	2
Ryssa Moffat	2
Lifang He	2
Quan Z. Sheng	2
Alexis Giral	2
Xiang Zhang	2
Yu Zhang	2
Qiong Dai	2
Jian Yang	2
Shan Xue	2
Hao Peng	1
Michael Pecka	1
Zhe Liu	1
Madina Hasan	1
Quanming Yao	1
Federico Senocrate	1
Andrea Mariani	1
Barbara Beiderbeck	1
Hengjin Ke	1
Yunbo Tang	1
Yun Li	1
Thomas Kreuz	1
Peter A. Bath	1
Yangyang Li	1
Yangyang Li	1
Hao Peng	1
Xiang Zhang	1
Laura Sbaffi	1
Yasein Omer	1
Zhe Liu	1
Kevin Lin	1
Dan Chen	1
Steve Goodacre	1
Jason Mikiel‐Hunter	1
Peter Hodkinson	1
Carl Marincowitz	1
Gordon Fuller	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis	2017	Xiang Zhang Lina Yao Dalin Zhang Xianzhi Wang Quan Z. Sheng Tao Gu	3
+ PDF Chat	Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding	2018	Kay Gregor Hartmann Robin Tibor Schirrmeister Tonio Ball	2
+ PDF Chat	Deep learning for neuroimaging: a validation study	2014	Sergey M. Plis Devon Hjelm Ruslan Salakhutdinov Elena A. Allen H. Jeremy Bockholt Jeffrey D. Long Hans J. Johnson Jane S. Paulsen Jessica A. Turner Vince D. Calhoun	2
+ PDF Chat	Interpretable deep neural networks for single-trial EEG classification	2016	Irene Sturm Sebastian Lapuschkin Wojciech Samek Klaus‐Robert Müller	2
+ PDF Chat	Internet of Things Meets Brain–Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity	2018	Xiang Zhang Lina Yao Shuai Zhang Salil S. Kanhere Quan Z. Sheng Yunhao Liu	2
+	Adversarial Variational Embedding for Robust Semi-supervised Learning	2019	Xiang Zhang Lina Yao Yuan Feng	2
+ PDF Chat	Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography	2017	Chuanqi Tan Fuchun Sun Wenchang Zhang Jianhua Chen Chunfang Liu	2
+	Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding	2018	Xiang Zhang Lina Yao Chaoran Huang Salil S. Kanhere Dalin Zhang	2
+	Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction	2017	Mohammad-Parsa Hosseini Hamid Soltanian‐Zadeh Kost Elisevich Dario Pompili	2
+	Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection	2014	JT Turner Adam Page Tinoosh Mohsenin Tim Oates	2
+ PDF Chat	Deep Learning Human Mind for Automated Visual Classification	2017	Concetto Spampinato Simone Palazzo Isaak Kavasidis Daniela Giordano Nasim Souly Mubarak Shah	2
+ PDF Chat	A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series	2018	Stanislas Chambon Mathieu Galtier Pierrick J. Arnal Gilles Wainrib Alexandre Gramfort	2
+ PDF Chat	An automated system for epilepsy detection using EEG brain signals based on deep learning approach	2018	Ihsan Ullah Muhammad Hussain Emad-ul-Haq Qazi Hatim Aboalsamh	2
+ PDF Chat	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces	2018	Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon Chou P. Hung Brent J. Lance	2
+ PDF Chat	Applications of Deep Learning and Reinforcement Learning to Biological Data	2018	Mufti Mahmud M. Shamim Kaiser Amir Hussain Stefano Vassanelli	2
+ PDF Chat	The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks	2018	Joos Behncke Robin Tibor Schirrmeister Wolfram Burgard Tonio Ball	2
+	Deep Architectures for Automated Seizure Detection in Scalp EEGs	2017	Meysam Golmohammadi Saeedeh Ziyabari Vinit Shah Silvia Lopez de Diego Iyad Obeid J. Picone	2
+	Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials	2018	Nicholas R. Waytowich Vernon J. Lawhern Javier O. Garcia Jennifer Cummings Josef Faller Paul Sajda Jean M. Vettel	2
+ PDF Chat	Brain tumor segmentation with Deep Neural Networks	2016	Mohammad Havaei Axel Davy David Warde-Farley Antoine Biard Aaron Courville Yoshua Bengio Chris Pal Pierre-Marc Jodoin Hugo Larochelle	2
+	Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks	2015	Pouya Bashivan Irina Rish Mohammed Yeasin Noel Codella	2
+ PDF Chat	Optimizing channel selection for seizure detection	2017	V. Shah Meysam Golmohammadi Saeedeh Ziyabari Eva von Weltin Iyad Obeid J. Picone	2
+ PDF Chat	MindID	2018	Xiang Zhang Lina Yao Salil S. Kanhere Yunhao Liu Tao Gu Kaixuan Chen	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+ PDF Chat	Deep transfer learning for error decoding from non-invasive EEG	2018	Martin A. Volker Robin Tibor Schirrmeister Lukas D. J. Fiederer Wolfram Burgard Tonio Ball	2
+	Mental State Recognition via Wearable EEG	2016	Pouya Bashivan Irina Rish Steve Heisig	2
+ PDF Chat	Deep learning in bioinformatics	2016	Seonwoo Min Byunghan Lee Sungroh Yoon	2
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	2
+	Multi-modality Sensor Data Classification with Selective Attention	2018	Xiang Zhang Lina Yao Chaoran Huang Sen Wang Mingkui Tan Guodong Long Can Wang	2
+	How to capitalize on a priori contrasts in linear (mixed) models: A tutorial	2019	Daniel J. Schad Shravan Vasishth Sven Hohenstein Reinhold Kliegl	2
+ PDF Chat	Mixed Neural Network Approach for Temporal Sleep Stage Classification	2017	Hao Dong Akara Supratak Wei Pan Chao Wu Paul M. Matthews Yike Guo	2
+ PDF Chat	Feature learning from incomplete EEG with denoising autoencoder	2015	Junhua Li Zbigniew R. Struzik Liqing Zhang Andrzej Cichocki	2
+	Comparison of Training Methods for Deep Neural Networks.	2015	Patrick Glauner	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+ PDF Chat	DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG	2017	Akara Supratak Hao Dong Chao Wu Yike Guo	2
+ PDF Chat	Online SSVEP-based BCI using Riemannian geometry	2016	Emmanuel Kalunga Sylvain Chevallier Quentin Barthélemy Karim Djouani Éric Monacelli Yskandar Hamam	2
+	Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions	2018	Yuri Gordienko Sergii Stirenko Yuriy Kochura Oleg Alienin Michail Novotarskiy Nikita Gordienko	2
+ PDF Chat	Spatial–Temporal Recurrent Neural Network for Emotion Recognition	2018	Tong Zhang Wenming Zheng Zhen Cui Yuan Zong Yang Li	2
+	Deep learning-based electroencephalography analysis: a systematic review	2019	Yannick Roy Hubert Banville Isabela Albuquerque Alexandre Gramfort Tiago H. Falk Jocelyn Faubert	2
+	Information-Theoretic Analysis of Refractory Effects in the P300 Speller	2017	Vaishakhi Mayya Boyla O. Mainsah Galen Reeves	2
+ PDF Chat	Machine learning for neuroimaging with scikit-learn	2014	Alexandre Abraham Fabian Pedregosa Michael Eickenberg Philippe Gervais Andreas Mueller Jean Kossaifi Alexandre Gramfort Bertrand Thirion Gaël Varoquaux	2
+	Deep Recurrent Neural Networks for seizure detection and early seizure detection systems	2017	Sachin S. Talathi	2
+	Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams	2017	Lei Chu Robert C. Qiu Haichun Liu Zenan Ling Tianhong Zhang Jijun Wang	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+ PDF Chat	Deep learning with convolutional neural networks for decoding and visualization of EEG pathology	2017	Robin Tibor Schirrmeister Lukas Gemein Katharina Eggensperger Frank Hutter Tonio Ball	2
+	Intent Recognition in Smart Living Through Deep Recurrent Neural Networks	2017	Xiang Zhang Lina Yao Chaoran Huang Quan Z. Sheng Xianzhi Wang	2
+	Deep Feature Learning for EEG Recordings	2015	Sebastian Stober Avital Sternin Adrian M. Owen Jessica A. Grahn	2
+ PDF Chat	Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals	2018	Xiang Zhang Lina Yao Quan Z. Sheng Salil S. Kanhere Tao Gu Dalin Zhang	2
+	emmeans: Estimated Marginal Means, aka Least-Squares Means	2017	Russell V. Lenth	2