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Selim Mimaroglu
Selim Mimaroglu
Director of Data Science and Machine Learning at Oracle
Verified email at oracle.com - Homepage
Title
Cited by
Cited by
Year
Combining multiple clusterings using similarity graph
S Mimaroglu, E Erdil
Pattern Recognition 44 (3), 694-703, 2011
1052011
DICLENS: Divisive clustering ensemble with automatic cluster number
S Mimaroglu, E Aksehirli
IEEE/ACM transactions on computational biology and bioinformatics 9 (2), 408-420, 2011
572011
CLICOM: Cliques for combining multiple clusterings
S Mimaroglu, M Yagci
Expert Systems With Applications 39 (2), 1889-1901, 2012
262012
Improving DBSCAN’s execution time by using a pruning technique on bit vectors
S Mimaroglu, E Aksehirli
Pattern Recognition Letters 32 (13), 1572-1580, 2011
232011
An efficient and scalable family of algorithms for combining clusterings
S Mimaroglu, E Erdil
Engineering Applications of Artificial Intelligence 26 (10), 2525-2539, 2013
222013
Obtaining better quality final clustering by merging a collection of clusterings
S Mimaroglu, E Erdil
Bioinformatics 26 (20), 2645-2646, 2010
182010
Approximate Computation of Object Distances by Locality-Sensitive Hashing.
S Mimaroglu, DA Simovici
DMIN, 714-718, 2008
172008
A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings
S Mimaroglu, AM Yagci
Proceedings of the 2nd International Conference on Interaction Sciences …, 2009
152009
ASOD: Arbitrary shape object detection
S Mimaroglu, E Erdil
Engineering Applications of Artificial Intelligence 24 (7), 1295-1299, 2011
122011
Bit sequences and biclustering of text documents
S Mimaroglu, K Uehara
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007
82007
Clustering and Approximate Identification of Frequent Item Sets.
S Mimaroglu, DA Simovici
FLAIRS, 502-506, 2007
72007
Approximative distance computation by random hashing
S Mimaroglu, M Yagci, DA Simovici
The Journal of Supercomputing 61, 572-589, 2012
22012
Mining Approximate Descriptions Using Rough Sets and Genetic Algorithms.
S Mimaroglu
Journal of Multiple-Valued Logic & Soft Computing 20, 2013
12013
Mining frequent item sets efficiently by using compression techniques
S Mimaroglu, C Cubukcu, E Aksehirli, E Erdil
Proceedings of the International Conference on Data Science (ICDATA), 1, 2011
12011
Mining Approximative Descriptions of Sets Using Rough Sets
DA Simovici, S Mimaroglu
2009 39th International Symposium on Multiple-Valued Logic, 66-71, 2009
12009
Trained models for discovering target device presence
S Mimaroglu, O Benjamin, A Gunel, S Anqi, F Ziran
US Patent 11,893,487, 2024
2024
Machine Learning Models Trained to Generate Household Predictions Using Energy Data
S Mimaroglu, S Anqi, O Benjamin, A Gunel, D Fradkin, F Ziran, Z Yang
US Patent App. 18/055,054, 2023
2023
Non-Intrusive Load Monitoring Using Machine Learning and Processed Training Data
S Mimaroglu, A Gunel, O Benjamin, S Anqi
US Patent App. 18/296,048, 2023
2023
NON-INTRUSIVE LOAD MONITORING USING MACHINE LEARNING AND PROCESSED TRAINING DATA
S Mimaroglu
US Patent 11,636,356, 2023
2023
NON-INTRUSIVE LOAD MONITORING USING MACHINE LEARNING
S Mimaroglu
US Patent 11,593,645, 2023
2023
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