Kaustubh Raosaheb Patil
Kaustubh Raosaheb Patil
Jülich Research Center, Heinrich-Heine-Universität Düsseldorf
Verified email at mit.edu
TitleCited byYear
Taxonomic metagenome sequence assignment with structured output models
KR Patil, P Haider, PB Pope, PJ Turnbaugh, M Morrison, T Scheffer, ...
Nature methods 8 (3), 191-192, 2011
The PhyloPythiaS web server for taxonomic assignment of metagenome sequences
KR Patil, L Roune, AC McHardy
PloS one 7 (6), 2012
Optimal teaching for limited-capacity human learners
KR Patil, J Zhu, Ł Kopeć, BC Love
Advances in neural information processing systems, 2465-2473, 2014
Text summarization: Using centrality in the pathfinder network
K Patil, P Brazdil
Int. J. Comput. Sci. Inform. Syst [online] 2 (18-32), 2007
Predicting personality from network-based resting-state functional connectivity
AD Nostro, VI Müller, DP Varikuti, RN Pläschke, F Hoffstaedter, R Langner, ...
Brain Structure and Function 223 (6), 2699-2719, 2018
Evaluation of non-negative matrix factorization of grey matter in age prediction
DP Varikuti, S Genon, A Sotiras, H Schwender, F Hoffstaedter, KR Patil, ...
Neuroimage 173, 394-410, 2018
A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data
G Collell, D Prelec, KR Patil
Neurocomputing 275, 330-340, 2018
Alignment-free genome tree inference by learning group-specific distance metrics
KR Patil, AC McHardy
Genome biology and evolution 5 (8), 1470-1484, 2013
Integration and segregation of default mode network resting-state functional connectivity in transition-age males with high-functioning autism spectrum disorder: a proof-of …
G Joshi, S Arnold Anteraper, KR Patil, M Semwal, RL Goldin, SL Furtak, ...
Brain connectivity 7 (9), 558-573, 2017
A putative gene located at the MHC class I region around the D6S105 marker contributes to the setting of CD8+ T‐lymphocyte numbers in humans
J Vieira, CS Cardoso, J Pinto, K Patil, P Brazdil, E Cruz, C Mascarenhas, ...
International journal of immunogenetics 34 (5), 359-367, 2007
Multimodal parcellations and extensive behavioral profiling tackling the hippocampus gradient
A Plachti, SB Eickhoff, F Hoffstaedter, KR Patil, AR Laird, PT Fox, ...
Cerebral cortex 29 (11), 4595-4612, 2019
Sex classification by resting state brain connectivity
S Weis, K Patil, F Hoffstaedter, A Nostro, BTT Yeo, SB Eickhoff
bioRxiv, 627711, 2019
Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission
C Rubbert, KR Patil, K Beseoglu, C Mathys, R May, MG Kaschner, B Sigl, ...
European radiology 28 (12), 4949-4958, 2018
Reviving threshold-moving: a simple plug-in bagging ensemble for binary and multiclass imbalanced data
G Collell, D Prelec, K Patil
arXiv preprint arXiv:1606.08698, 2016
A simple visualization technique to understand the system dynamics in bioreactors
KR Patil, AJ Kulkarni
Biotechnology progress 23 (5), 1101-1105, 2007
Kernel-enabled methods for subspace regression and efficient control
K Patil, A Kulkarni
International Journal of Modelling, Identification and Control 5 (2), 136-145, 2008
Automatic text summarization using pathfinder network scaling
KR Patil
University of Porto, 2007
A Connectivity-based Psychometric Prediction Framework for Brain-behavior Relationship Studies
J Wu, SB Eickhoff, F Hoffstaedter, KR Patil, H Schwender, S Genon
bioRxiv, 2020
Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An …
J Chen, KR Patil, S Weis, K Sim, T Nickl-Jockschat, J Zhou, A Aleman, ...
Biological psychiatry, 2019
Rank Selection in Non-negative Matrix Factorization: systematic comparison and a new MAD metric
L Muzzarelli, S Weis, SB Eickhoff, KR Patil
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
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Articles 1–20