Mete Celik

According to our database, Mete Celik authored at least 30 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parametric RSigELU: a new trainable activation function for deep learning.

Serhat Kiliçarslan, Mete Celik

Neural Comput. Appl., May, 2024

2022

4D-GWR: geographically, altitudinal, and temporally weighted regression.

Murat Tasyurek, Mete Celik

Neural Comput. Appl., 2022

KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks.

Serhat Kiliçarslan, Mete Celik

Neural Comput. Appl., 2022

A hybrid CNN-LSTM model for high resolution melting curve classification.

Fatma Ozge Ozkok, Mete Celik

Biomed. Signal Process. Control., 2022

2021

A Hybrid Validity Index to Determine K Parameter Value of k-Means Algorithm for Time Series Clustering.

Fatma Ozge Ozkok, Mete Celik

Int. J. Inf. Technol. Decis. Mak., 2021

RSigELU: A nonlinear activation function for deep neural networks.

Serhat Kiliçarslan, Mete Celik

Expert Syst. Appl., 2021

Convolutional neural network analysis of recurrence plots for high resolution melting classification.

Fatma Ozge Ozkok, Mete Celik

Comput. Methods Programs Biomed., 2021

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification.

Serhat Kiliçarslan, Mete Celik, Safak Sahin

Biomed. Signal Process. Control., 2021

2020

Mining High-Average Utility Itemsets with Positive and Negative External Utilities.

Irfan Yildirim, Mete Celik

New Gener. Comput., 2020

Structural profile matrices for predicting structural properties of proteins.

Nuh Azginoglu, Zafer Aydin, Mete Celik

J. Bioinform. Comput. Biol., 2020

RNN-GWR: A geographically weighted regression approach for frequently updated data.

Murat Tasyurek, Mete Celik

Neurocomputing, 2020

Cloud Computing-Based Socially Important Locations Discovery on Social Media Big Datasets.

Ahmet Sakir Dokuz, Mete Celik

Int. J. Inf. Technol. Decis. Mak., 2020

2019

Developing structural profile matrices for protein secondary structure and solvent accessibility prediction.

Zafer Aydin, Nuh Azginoglu, Halil Ibrahim Bilgin, Mete Celik

Bioinform., 2019

An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset.

Irfan Yildirim, Mete Celik

IEEE Access, 2019

2018

Discovering socially similar users in social media datasets based on their socially important locations.

Mete Celik, Ahmet Sakir Dokuz

Inf. Process. Manag., 2018

2017

Discovering socio-spatio-temporal important locations of social media users.

Mete Celik, Ahmet Sakir Dokuz

J. Comput. Sci., 2017

Discovering socially important locations of social media users.

Ahmet Sakir Dokuz, Mete Celik

Expert Syst. Appl., 2017

2016

CoABCMiner: An Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony.

Mete Celik, Fehim Köylü, Dervis Karaboga

Int. J. Artif. Intell. Tools, 2016

2015

Partial spatio-temporal co-occurrence pattern mining.

Mete Celik

Knowl. Inf. Syst., 2015

2013

Performance analysis of ABCMiner algorithm with different objective functions.

Fehim Köylü, Mete Celik, Dervis Karaboga

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

Spatial AutoRegression (SAR) Model - Parameter Estimation Techniques.

Baris M. Kazar, Mete Celik

Springer Briefs in Computer Science, Springer, ISBN: 978-1-4614-1842-9, 2012

2008

Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining.

Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine

IEEE Trans. Knowl. Data Eng., 2008

Should SDBMS support a join index?: a case study from CrimeStat.

Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, Betsy George, Ned Levine, Mete Celik

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Spatial and Spatiotemporal Data Mining.

Shashi Shekhar, Ranga Raju Vatsavai, Mete Celik

Proceedings of the Next Generation of Data Mining., 2008

2007

Zonal Co-location Pattern Discovery with Dynamic Parameters.

Mete Celik, James M. Kang, Shashi Shekhar

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results.

Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, James M. Kang

Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

2006

Discovery of Co-evoluting Spatial Co-located Event Sets.

Jin Soung Yoo, Shashi Shekhar, Sangho Kim, Mete Celik

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results.

Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results.

Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results.

Jin Soung Yoo, Shashi Shekhar, Mete Celik

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005