429 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS50 papers
- Koç UniversityTR46 papers
- Feza Gürsey InstituteTR30 papers
- Boğaziçi UniversityTR28 papers
- Middle East Technical UniversityTR25 papers
- University of CambridgeGB22 papers
- University of OxfordGB21 papers
- University of ManchesterGB20 papers
- Fermi National Accelerator LaboratoryUS19 papers
- Kansas State UniversityUS19 papers
- University of ChicagoUS19 papers
- Columbia UniversityUS18 papers
8 papers · 1 filter
Suzaku Analysis of the Supernova Remnant G306.3-0.9 and the Gamma-ray View of Its Neighborhood
Aytap Sezer, Tulun Ergin, Ryo Yamazaki
We present an investigation of the supernova remnant (SNR) G306.30.9 using archival multi-wavelength data. The Suzaku spectra are well described by two-component thermal plasma…
Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber
MicroBooNE collaboration, R. Acciarri, C. Adams +136
We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms stu…
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang, Zhizhong Li, Chen Change Loy +1
A number of studies have shown that increasing the depth or width of convolutional networks is a rewarding approach to improve the performance of image recognition. In our study, h…
How Transferable are CNN-based Features for Age and Gender Classification?
Gökhan Özbulak, Yusuf Aytar, Hazım Kemal Ekenel
Age and gender are complementary soft biometric traits for face recognition. Successful estimation of age and gender from facial images taken under real-world conditions can contri…
Still Wrong Use of Pairings in Cryptography
Mehmet Sabir Kiraz, Osmanbey Uzunkol
Several pairing-based cryptographic protocols are recently proposed with a wide variety of new novel applications including the ones in emerging technologies like cloud computing,…
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
Ferhat Özgür Çatak
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of…
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM
Ferhat Özgür Çatak
In machine learning area, as the number of labeled input samples becomes very large, it is very difficult to build a classification model because of input data set is not fit in a…
Classification with Boosting of Extreme Learning Machine Over Arbitrarily Partitioned Data
Ferhat Özgür Çatak
Machine learning based computational intelligence methods are widely used to analyze large scale data sets in this age of big data. Extracting useful predictive modeling from these…