activity
20112022
most citedTowards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges

76 citations · 96 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SP20221 cited

Reliable Extraction of Semantic Information and Rate of Innovation Estimation for Graph Signals

Mert Kalfa, Sadik Yagiz Yetim, Arda Atalik +6

Semantic signal processing and communications are poised to play a central part in developing the next generation of sensor devices and networks. A crucial component of a semantic…

cs.LG202219 cited

Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks

Fatih Cagatay Akyon, Yasar Kemal Alp, Gokhan Gok +1

Detection and classification of radars based on pulses they transmit is an important application in electronic warfare systems. In this work, we propose a novel deep-learning based…

eess.SP202176 cited

Towards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges

Mert Kalfa, Mehmetcan Gok, Arda Atalik +3

Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their…

math.OC2019

M-IHS: An Accelerated Randomized Preconditioning Method Avoiding Costly Matrix Decompositions

Ibrahim Kurban Ozaslan, Mert Pilanci, Orhan Arikan

Momentum Iterative Hessian Sketch (M-IHS) techniques, a group of solvers for large scale regularized linear Least Squares (LS) problems, are proposed and analyzed in detail. Propos…

math.OC2018

Steklov Regularization and Trajectory Methods for Univariate Global Optimization

Orhan Arıkan, Regina S. Burachik, C. Yalçın Kaya

We introduce a new regularization technique, using what we refer to as the Steklov regularization function, and apply this technique to devise an algorithm that computes a global m…

cs.NE2011

Symmetry Breaking in Neuroevolution: A Technical Report

Onay Urfalioglu, Orhan Arikan

Artificial Neural Networks (ANN) comprise important symmetry properties, which can influence the performance of Monte Carlo methods in Neuroevolution. The problem of the symmetries…