Sort by:

• Highly Influential Citations
• Citations
• Acceleration
• Velocity
• Recency

Learn More

Effect of rabbit duodenal mRNA on phosphate transport in Xenopus laevis oocytes: dependence on 1,25-dihydroxy-vitamin-D3

• A. Murat Yagci, Andreas Werner, Heini Murer, Juerg Biber
• Pflügers Archiv
• 1992

Expression of Na+-dependent transport of phosphate (Pi) was analysed in Xenopus laevis oocytes after injection of poly(A)-rich RNA isolated from the duodenal mucosa of rabbits with increased levels… (More)

CLICOM: Cliques for combining multiple clusterings

• Selim Mimaroglu, A. Murat Yagci
• Expert Syst. Appl.
• 2012

A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation

• Ertunc Erdil, A. Murat Yagci, +4 authors Devrim Ünay
• 2012 3rd International Conference on Image…
• 2012

We propose an image processing pipeline for dendritic spine detection in two-photon fluorescence microscopy images. Spines of interest to neuroscientists often contain high intensity regions with… (More)

An ensemble approach for multi-label classification of item click sequences

• A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
• RecSys Challenge
• 2015

In this paper, we describe our approach to RecSys 2015 challenge problem. Given a dataset of item click sessions, the problem is to predict whether a session results in a purchase and which items are… (More)

Approximative distance computation by random hashing

• Selim Mimaroglu, A. Murat Yagci, Dan A. Simovici
• The Journal of Supercomputing
• 2011

We propose an approximate computation technique for inter-object distances of binary data sets. Our approach is based on locality sensitive hashing. We randomly select a number of projections of the… (More)

Biomedical image time series registration with particle filtering

• A. Murat Yagci, Ertunc Erdil, +4 authors Fikret S. Gürgen
• 2013 21st Signal Processing and Communications…
• 2013

We propose a family of methods for biomedical image time series registration based on Particle filtering. The first method applies an intensity-based information-theoretic approach to calculate… (More)

Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream

• A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
• Eng. Appl. of AI
• 2017

A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings

• Selim Mimaroglu, A. Murat Yagci
• Int. Conf. Interaction Sciences
• 2009

In this paper, we introduce a novel binary method for fast computation of an objective function to measure inter and intra class similarities, which is used for combining multiple clusterings. Our… (More)

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems

• A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
• RecSys
• 2017

Learning to rank with pairwise loss functions has been found useful in collaborative filtering recommender systems. At web scale, the optimization is often based on matrix factorization with… (More)

Balanced random forest for imbalanced data streams

• A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen
• 2016 24th Signal Processing and Communication…
• 2016

Data with highly imbalanced class distributions are common in real life. Machine learning application domains such as e-commerce, risk management, environmental, and health monitoring often suffer… (More)

• ‹
• 1
• ›