Kaustubh Raosaheb Patil

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Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität DüsseldorfVerified email at uni-duesseldorf.de
Susanne WeisGroup Leader, Brain & Behaviour (INM-7), Research Centre JülichVerified email at fz-juelich.de
Sarah GenonForschungszentrum JülichVerified email at fz-juelich.de
Robert LangnerInstitute of Systems Neuroscience, Heinrich Heine University DüsseldorfVerified email at uni-duesseldorf.de
Alice Carolyn McHardyHelmholtz Centre for Infection Research, GermanyVerified email at helmholtz-hzi.de
B.T. Thomas YeoNational University of SingaporeVerified email at nus.edu.sg
Juergen DukartProf. for Digital Biomarkers, Group Leader Biomarker Development, Research Center Jülich, INM-7Verified email at fz-juelich.de
Alessandra D. NostroPost Doc, Netherlands Institute for NeuroscienceVerified email at nin.knaw.nl
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonVerified email at ucl.ac.uk
Kiran Raosaheb PatilMRC Toxicology Unit, University of CambridgeVerified email at cam.ac.uk
Drazen PrelecVerified email at mit.edu
Peter TurnbaughUniversity of California, San FranciscoVerified email at ucsf.edu
Phil B. PopeProfessor, Centre for Microbiome Research, Queensland University of TechnologyVerified email at qut.edu.au
Tobias SchefferUniversity of Potsdam, GermanyVerified email at cs.uni-potsdam.de
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Lukasz KopecUniversity College LondonVerified email at ucl.ac.uk
Sheeba Arnold AnteraperMassachusetts Institute of TechnologyVerified email at mit.edu
Pedro CamposLIAAD INESC TECVerified email at fep.up.pt
abhijit kulkarniPune University, India
Prakash ShelokarEuropean Centre for Soft Computing, Spain

Kaustubh Raosaheb Patil

Forschungszentrum Jülich, Heinrich Heine Universität Düsseldorf

Verified email at fz-juelich.de

machine learning data mining bioinformatics cognitive science


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Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020	966	2020
Polarization of microbial communities between competitive and cooperative metabolism D Machado, OM Maistrenko, S Andrejev, Y Kim, P Bork, KR Patil, KR Patil Nature ecology & evolution 5 (2), 195-203, 2021	181	2021
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	166	2018
Sex classification by resting state brain connectivity S Weis, KR Patil, F Hoffstaedter, A Nostro, BTT Yeo, SB Eickhoff Cerebral cortex 30 (2), 824-835, 2020	161	2020
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, 2699-2719, 2018	151	2018
The PhyloPythiaS web server for taxonomic assignment of metagenome sequences KR Patil, L Roune, AC McHardy PloS one 7 (6), e38581, 2012	135	2012
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	132	2011
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	119	2018
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 87 (3), 282-293, 2020	88	2020
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity J Li, D Bzdok, J Chen, A Tam, LQR Ooi, AJ Holmes, T Ge, KR Patil, ... Science advances 8 (11), eabj1812, 2022	85	2022
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	84	2019
Optimal teaching for limited-capacity human learners KR Patil, J Zhu, Ł Kopeć, BC Love Advances in neural information processing systems 27, 2014	82	2014
Sumgraph: Text summarization using centrality in the pathfinder network K Patil, P Brazdil International Journal on Computer Science and Information Systems 2 (1), 18-32, 2007	59	2007
Imaging evolution of the primate brain: the next frontier? P Friedrich, SJ Forkel, C Amiez, JH Balsters, O Coulon, L Fan, A Goulas, ... NeuroImage 228, 117685, 2021	58	2021
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, 4949-4958, 2018	53	2018
Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture J Chen, VI Müller, J Dukart, F Hoffstaedter, JT Baker, AJ Holmes, ... Biological psychiatry 89 (3), 308-319, 2021	52	2021
Brain-age prediction: A systematic comparison of machine learning workflows S More, G Antonopoulos, F Hoffstaedter, J Caspers, SB Eickhoff, KR Patil, ... NeuroImage 270, 119947, 2023	47	2023
A too-good-to-be-true prior to reduce shortcut reliance N Dagaev, BD Roads, X Luo, DN Barry, KR Patil, BC Love Pattern recognition letters 166, 164-171, 2023	46	2023
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	44	2016
Confound removal and normalization in practice: A neuroimaging based sex prediction case study S More, SB Eickhoff, J Caspers, KR Patil Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021	42	2021

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