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2020 – today
- 2024
[j20]Serhat Kiliçarslan
, Mete Celik:
Parametric RSigELU: a new trainable activation function for deep learning. Neural Comput. Appl. 36(13): 7595-7607 (2024)- 2022
- [j19]Fatma Ozge Ozkok, Mete Celik:
A hybrid CNN-LSTM model for high resolution melting curve classification. Biomed. Signal Process. Control. 71(Part): 103168 (2022) - [j18]Serhat Kiliçarslan, Mete Celik:
KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks. Neural Comput. Appl. 34(16): 13909-13923 (2022) - [j17]Murat Tasyurek, Mete Celik:
4D-GWR: geographically, altitudinal, and temporally weighted regression. Neural Comput. Appl. 34(17): 14777-14791 (2022) - 2021
- [j16]Serhat Kiliçarslan, Mete Celik, Safak Sahin:
Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification. Biomed. Signal Process. Control. 63: 102231 (2021) - [j15]Fatma Ozge Ozkok, Mete Celik:
Convolutional neural network analysis of recurrence plots for high resolution melting classification. Comput. Methods Programs Biomed. 207: 106139 (2021) - [j14]Serhat Kiliçarslan, Mete Celik:
RSigELU: A nonlinear activation function for deep neural networks. Expert Syst. Appl. 174: 114805 (2021) - [j13]Fatma Ozge Ozkok, Mete Celik:
A Hybrid Validity Index to Determine K Parameter Value of k-Means Algorithm for Time Series Clustering. Int. J. Inf. Technol. Decis. Mak. 20(6): 1615-1636 (2021) - 2020
- [j12]Ahmet Sakir Dokuz, Mete Celik:
Cloud Computing-Based Socially Important Locations Discovery on Social Media Big Datasets. Int. J. Inf. Technol. Decis. Mak. 19(2): 469-497 (2020) - [j11]Murat Tasyurek, Mete Celik:
RNN-GWR: A geographically weighted regression approach for frequently updated data. Neurocomputing 399: 258-270 (2020) - [j10]Nuh Azginoglu, Zafer Aydin, Mete Celik:
Structural profile matrices for predicting structural properties of proteins. J. Bioinform. Comput. Biol. 18(4): 2050022:1-2050022:20 (2020) - [j9]Irfan Yildirim, Mete Celik:
Mining High-Average Utility Itemsets with Positive and Negative External Utilities. New Gener. Comput. 38(1): 153-186 (2020)
2010 – 2019
- 2019
- [j8]Irfan Yildirim, Mete Celik:
An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset. IEEE Access 7: 144245-144263 (2019) - [j7]Zafer Aydin, Nuh Azginoglu, Halil Ibrahim Bilgin, Mete Celik:
Developing structural profile matrices for protein secondary structure and solvent accessibility prediction. Bioinform. 35(20): 4004-4010 (2019) - 2018
- [j6]Mete Celik, Ahmet Sakir Dokuz:
Discovering socially similar users in social media datasets based on their socially important locations. Inf. Process. Manag. 54(6): 1154-1168 (2018) - 2017
- [j5]Ahmet Sakir Dokuz, Mete Celik:
Discovering socially important locations of social media users. Expert Syst. Appl. 86: 113-124 (2017) - [j4]Mete Celik, Ahmet Sakir Dokuz:
Discovering socio-spatio-temporal important locations of social media users. J. Comput. Sci. 22: 85-98 (2017) - 2016
- [j3]Mete Celik, Fehim Köylü, Dervis Karaboga:
CoABCMiner: An Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony. Int. J. Artif. Intell. Tools 25(1): 1550028:1-1550028:50 (2016) - 2015
- [j2]Mete Celik:
Partial spatio-temporal co-occurrence pattern mining. Knowl. Inf. Syst. 44(1): 27-49 (2015) - 2013
- [c8]Fehim Köylü, Mete Celik, Dervis Karaboga:
Performance analysis of ABCMiner algorithm with different objective functions. SIU 2013: 1-5 - 2012
- [b1]Baris M. Kazar, Mete Celik:
Spatial AutoRegression (SAR) Model - Parameter Estimation Techniques. Springer Briefs in Computer Science, Springer 2012, ISBN 978-1-4614-1841-2, pp. i-x, 1-73
2000 – 2009
- 2008
- [j1]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine:
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining. IEEE Trans. Knowl. Data Eng. 20(10): 1322-1335 (2008) - [c7]Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, Betsy George, Ned Levine, Mete Celik:
Should SDBMS support a join index?: a case study from CrimeStat. GIS 2008: 37 - [p1]Shashi Shekhar, Ranga Raju Vatsavai, Mete Celik:
Spatial and Spatiotemporal Data Mining. Next Generation of Data Mining 2008 - 2007
- [c6]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, James M. Kang:
Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results. ICDE Workshops 2007: 565-574 - [c5]Mete Celik, James M. Kang, Shashi Shekhar:
Zonal Co-location Pattern Discovery with Dynamic Parameters. ICDM 2007: 433-438 - 2006
- [c4]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo:
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results. ICDM 2006: 119-128 - [c3]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine:
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results. ICTAI 2006: 106-115 - [c2]Jin Soung Yoo, Shashi Shekhar, Sangho Kim, Mete Celik:
Discovery of Co-evoluting Spatial Co-located Event Sets. SDM 2006: 306-315 - 2005
- [c1]Jin Soung Yoo, Shashi Shekhar, Mete Celik:
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results. ICDM 2005: 813-816
Coauthor Index
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