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Panagiotis Mandros
Panagiotis Mandros
Department of Biostatistics @ Harvard
Bestätigte E-Mail-Adresse bei hsph.harvard.edu
Titel
Zitiert von
Zitiert von
Jahr
Discovering Reliable Approximate Functional Dependencies
P Mandros, M Boley, J Vreeken
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
512017
Universal dependency analysis
HV Nguyen, P Mandros, J Vreeken
Proceedings of the 2016 SIAM International Conference on Data Mining, 792-800, 2016
192016
Discovering reliable dependencies from data: Hardness and improved algorithms
P Mandros, M Boley, J Vreeken
2018 IEEE international conference on data mining (ICDM), 317-326, 2018
162018
Discovering functional dependencies from mixed-type data
P Mandros, D Kaltenpoth, M Boley, J Vreeken
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
102020
Discovering dependencies with reliable mutual information
P Mandros, M Boley, J Vreeken
Knowledge and Information Systems 62 (11), 4223-4253, 2020
92020
Discovering approximate functional dependencies using smoothed mutual information
F Pennerath, P Mandros, J Vreeken
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
72020
Discovering Reliable Correlations in Categorical Data
P Mandros, M Boley, J Vreeken
2019 IEEE International Conference on Data Mining (ICDM), 1252-1257, 2019
42019
Gene regulatory Networks Reveal Sex Difference in Lung Adenocarcinoma
E Saha, MB Guebila, V Fanfani, J Fischer, KH Shutta, P Mandros, ...
bioRxiv, 2023
32023
BONOBO: Bayesian Optimized Sample-Specific Networks Obtained by Omics Data
E Saha, V Fanfani, P Mandros, M Ben-Guebila, J Fischer, KH Shutta, ...
International Conference on Research in Computational Molecular Biology, 328-331, 2024
2024
Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)
E Saha, V Fanfani, P Mandros, M Ben-Guebila, J Fischer, K Hoff-Shutta, ...
bioRxiv, 2023
2023
Discovering robust dependencies from data
P Mandros
Saarländische Universitäts-und Landesbibliothek, 2020
2020
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