Sreejita Ghosh

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Kerstin BunteRosalind Franklin Fellow at the University of GroningenVerified email at rug.nl
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at cs.bham.ac.uk
Michael BiehlUniversity of Groningen, Bernoulli InstituteVerified email at rug.nl
J.J.G. (Gert-Jan) de VriesPhilips ResearchVerified email at philips.com
Rick van VeenUniversity of GroningenVerified email at rug.nl
Tulay GuranMarmara University Department of Pediatric Endocrinology and DiabetesVerified email at marmara.edu.tr
Angela Elizabeth Taylor ORCID 0000-...University of BirminghamVerified email at bham.ac.uk
Lorna GilliganSteroid Metabolome Analysis Core, IMSR, University of BirminghamVerified email at bham.ac.uk
jelle vlaanderenAssociate Professor, Utrecht UniversityVerified email at uu.nl
Amand Floriaan SchmidtUCL; Amsterdam UMCVerified email at ucl.ac.uk
R.C.H. VermeulenUtrecht University, The NetherlandsVerified email at uu.nl

Sreejita Ghosh

TU Eindhoven

Verified email at tue.nl - Homepage

Machine Learning in human centric applications Computer-aided-diagnosis XAI


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Positive and Negative Parenting in Conduct Disorder with High versus Low Levels of Callous-Unemotional Traits R Pauli, P Tino, JC Rogers, R Baker, R Clanton, P Birch, A Brown, ... Development and Psychopathology, 2020	23	2020
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders S Ghosh, ES Baranowski, R van Veen, GJ de Vries, M Biehl, W Arlt, ... 25th European Symposium on Artificial Neural Networks, Computational …, 2017	14	2017
Visualisation and knowledge discovery from interpretable models S Ghosh, P Tino, K Bunte 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020	10	2020
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets S Ghosh, ES Baranowski, M Biehl, W Arlt, P Tino, K Bunte arXiv preprint arXiv:2206.02056, 2022	7	2022
Intrinsically Interpretable Machine Learning In Computer Aided Diagnosis S Ghosh	4	2021
Steroid metabolomics: a rapid computational approach for accurate differentiation of inborn disorders of steroidogenesis ES Baranowski, S Ghosh, CHL Shackleton, AE Taylor, BA Hughes, ... Endocrine Abstracts 63, 2019	1	2019
Stacking multiple prediction models to optimise performance in local settings: exemplars in cardiometabolic disease S Ghosh, J Gratton, RCH Vermeulen, FW Asselbergs, JJ Vlaanderen, ... medRxiv, 2023.06. 16.23291489, 2023		2023
Asthma Data Analysis using a Probabilistic Variant of Random Forest CA Diaconu		2019
Steroid Metabolomics: A Powerful Technique for Differentiating Inborn Disorders of Steroidogenesis ES Baranowski, S Ghosh, CHL Shackleton, AE Taylor, BA Hughes, ...		2018
Heart failure severity prediction from medical records S Ghosh, GJ de Vries, M Biehl, RJ Renken Faculty of Science and Engineering, 2016		2016
Computer aided diagnosis of inborn steroidogenic disorders S Ghosh, ES Baranowski, M Biehl, W Arlt, P Tino, K Bunte MiWoCI Workshop-2017, 6, 0
Computer aided diagnosis under the influence of heterogeneous data and imbalanced classes S Ghosh, ES Baranowski, R van Veen, GJ de Vries, M Biehl, W Arlt, ...

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