44 citations
- Boğaziçi UniversityTR3 papers
- Istanbul Technical UniversityTR2 papers
- École PolytechniqueFR1 paper
- Hong Kong University of Science and TechnologyHK1 paper
- Johannes Kepler University of LinzAT1 paper
- Koç UniversityTR1 paper
- KU LeuvenBE1 paper
- Laboratoire des Sciences du Numérique de NantesFR1 paper
- Lancaster UniversityGB1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Nantes UniversitéFR1 paper
- Sabancı ÜniversitesiTR1 paper
13 papers
Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
Serap Kırbız
In this paper, a deep learning framework is proposed for automatic facial emotion based on deep convolutional networks. In order to increase the generalization ability and the robu…
TALICS: Tape Library Cloud Storage System Simulator
Suayb S. Arslan, James Peng, Turguy Goker
High performance computing data is surging fast into the exabyte-scale world, where tape libraries are the main platform for long-term durable data storage besides high-cost DNA. T…
Enhanced primordial gravitational waves from a stiff post-inflationary era due to an oscillating inflaton
Chao Chen, Konstantinos Dimopoulos, Cem Eröncel +1
We investigate two classes of inflationary models, which lead to a stiff period after inflation that boosts the signal of primordial gravitational waves (GWs). In both families of…
An overview of time series point and interval forecasting based on similarity of trajectories, with an experimental study on traffic flow forecasting
İlker Arslan, Can Hakan Dağıdır, Ümit Işlak
The purpose of this paper is to give an overview of the time series forecasting problem based on similarity of trajectories. Various methodologies are introduced and studied, and d…
Benders decomposition algorithms for minimizing the spread of harmful contagions in networks
Kübra Tanınmış, Necati Aras, Evren Güney +1
The COVID-19 pandemic has been a recent example for the spread of a harmful contagion in large populations. Moreover, the spread of harmful contagions is not only restricted to an…
Fault-Tolerant Strassen-Like Matrix Multiplication
Osman B. Guney, Suayb S. Arslan
In this study, we propose a simple method for fault-tolerant Strassen-like matrix multiplications. The proposed method is based on using two distinct Strassen-like algorithms inste…