Abstract is missing.
- p Distance-based Optimal TransportQi Wang, Ievgen Redko, Sylvain Takerkart. 1-4 [doi]
- Using decoding error patterns to trace the neural signature of auditory scene perceptionYaelan Jung, Bart Larsen, Dirk B. Walther. 1-4 [doi]
- Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEGJiancong He, GuoXu Zhou, Hongtao Wang, Evangelos Sigalas, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li. 1-4 [doi]
- Dynamic Whole Brain Polarity Regimes Strongly Distinguish Controls from Schizophrenia PatientsRobyn L. Miller, Vince D. Calhoun. 1-4 [doi]
- Controlling a confound in predictive models with a test set minimizing its effectDarya Chyzhyk, Gaël Varoquaux, Bertrand Thirion, Michael P. Milham. 1-4 [doi]
- The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET DataMartin Norgaard, Douglas N. Greve, Claus Svarer, Stephen C. Strother, Gitte Moos Knudsen, Melanie Ganz. 1-4 [doi]
- Emergence of Chimera-like States in Prefrontal-Cortex Macaque Intracranial RecordingsEvangelos Sigalas, Junhua Li, Anastasios Bezerianos, Chris G. Antonopoulos. 1-4 [doi]
- Domain adaptation with optimal transport improves EEG sleep stage classifiersStanislas Chambon, Mathieu N. Galtier, Alexandre Gramfort. 1-4 [doi]
- Multivariate and predictive modelling of neural variability in mild cognitive impairmentValeria Kebets, Mitsouko van Assche, Jonas Richiardi, Rachel Goldstein, Reto Meuli, Tobias Kober, Frédéric Assal, Dimitri Van De Ville. 1-4 [doi]
- Testing group differences in state transition structure of dynamic functional connectivity modelsSøren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup. 1-4 [doi]
- Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationshipsF. S. Ferreira, Maria J. Rosa, Michael Moutoussis, Ray Dolan, John Shawe-Taylor, John Ashburner, Janaina Mourão Miranda. 1-4 [doi]
- Automatic detection of motion artifacts on MRI using Deep CNNIrene Fantini, Letícia Rittner, Clarissa Yasuda, Roberto de Alencar Lotufo. 1-4 [doi]
- Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo. 1-4 [doi]
- A Class Imbalance Ordinal Method for Alzheimer's Disease ClassificationRicardo Cruz, Margarida Silveira, Jaime S. Cardoso. 1-4 [doi]
- 3D convolutional neural network for feature extraction and classification of fMRI volumesHanh Vu, Hyun-Chul Kim, Jong-Hwan Lee. 1-4 [doi]
- Quantifying cognitive aging and performance with at-home gamified mobile EEGBrian Murphy, Andrea Aleni, Brahim Belaoucha, John Dyer, Hugh Nolan. 1-4 [doi]
- Modeling Alzheimer's disease progression using deep recurrent neural networksMinh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo. 1-4 [doi]
- Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsityAmicie de Pierrefeu, Tommy Löfstedt, Charles Laidi, Fouad Hadj-Selem, Marion Leboyer, Philippe Ciuciu, Josselin Houenou, Edouard Duchesnay. 1-4 [doi]
- Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?Jessica Schrouff, Janaina Mourão Miranda. 1-4 [doi]
- Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based ApproachFermín Segovia, Juan Manuel Górriz, J. Ramirez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, R. Sanchez-Vano, P. Sopena-Novales, Manuel Gómez-Río. 1-4 [doi]