Search Results - "Keceli, Ali Seydi"

Deep operational audio-visual emotion recognition by Aktürk, Kaan, Keçeli, Ali Seydi

“…Emotions play a large role in interpersonal communication, marketing, healthcare and the service industry. For this reason, much research has been carried out…”
Get full text

Viewpoint projection based deep feature learning for single and dyadic action recognition by Keçeli, Ali Seydi

“…•A method that can be used for single and dyadic action recognition is proposed.•Depth sequences are concatenated to construct a 3D isosurface.•Different views…”
Get full text

Violent activity classification with transferred deep features and 3d-Cnn by Keceli, Ali Seydi, Kaya, Aydin

“…Recognition of violent activities is a sub-problem of activity recognition that is new and less studied, comparatively. This study proposes a method to…”
Get full text

Classification of radiolarian images with hand-crafted and deep features by Keçeli, Ali Seydi, Kaya, Aydın, Keçeli, Seda Uzunçimen

“…Radiolarians are planktonic protozoa and are important biostratigraphic and paleoenvironmental indicators for paleogeographic reconstructions. Radiolarian…”
Get full text

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model by Kaya, Aydin, Keçeli, Ali Seydi, Catal, Cagatay, Tekinerdogan, Bedir

“…For the agricultural food production sector, the control and assessment of food quality is an essential issue, which has a direct impact on both human health…”
Get full text

Combining 2D and 3D deep models for action recognition with depth information by Keçeli, Ali Seydi, Kaya, Aydın, Can, Ahmet Burak

“…In activity recognition, usage of depth data is a rapidly growing research area. This paper presents a method for recognizing single-person activities and…”
Get full text

A shallow 3D convolutional neural network for violence detection in videos by Dündar, Naz, Keçeli, Ali Seydi, Kaya, Aydın, Sever, Hayri

“…With the recent worldwide statistical rise in the amount of public violence, automated violence detection in surveillance cameras has become a matter of high…”
Get full text

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models by Maltesque, Guest Editors, Kaya, Aydin, Keceli, Ali Seydi, Catal, Cagatay, Tekinerdogan, Bedir

“…Software vulnerabilities form an increasing security risk for software systems, that might be exploited to attack and harm the system. Some of the security…”
Get full text

Cyclotorsion measurement using scleral blood vessels by Kaya, Aydın, Keçeli, Ali Seydi, Can, Ahmet Burak, Çakmak, Hasan Basri

“…Abstract Background and Objectives Measurements of the cyclotorsional movement of the eye are crucial in refractive surgery procedures. The planned surgery…”
Get full text

Depth features to recognise dyadic interactions by Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can

“…Usage of depth sensors in activity recognition is an emerging technology in human–computer interaction. This study presents an approach to recognise…”
Get full text

Analysis of transfer learning for deep neural network based plant classification models by Kaya, Aydin, Keceli, Ali Seydi, Catal, Cagatay, Yalic, Hamdi Yalin, Temucin, Huseyin, Tekinerdogan, Bedir

“…[Display omitted] •We examined the benefit of the transfer learning on plant classification.•Four asymmetric feature-based transfer learning models are…”
Get full text

ADS-B Attack Classification using Machine Learning Techniques by Kacem, Thabet, Kaya, Aydin, Seydi Keceli, Ali, Catal, Cagatay, Wijsekera, Duminda, Costa, Paulo

“…Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using…”
Get full text

Deep learning-based multi-task prediction system for plant disease and species detection by Keceli, Ali Seydi, Kaya, Aydin, Catal, Cagatay, Tekinerdogan, Bedir

“…The manual prediction of plant species and plant diseases is expensive, time-consuming, and requires expertise that is not always available. Automated…”
Get full text

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data by Keceli, Ali Seydi, Catal, Cagatay, Kaya, Aydin, Tekinerdogan, Bedir

“…•We developed and validated a novel RNN-based calving prediction model.•Bi-LSTM based approach provided better outcomes on daily calving prediction.•RUSBoosted…”
Get full text

Akciğer nodül özelliklerinin tahmininde çeşitli sınıflama stratejilerinin incelenmesi by Kaya, Aydın, Keçeli, Ali Seydi, Can, Ahmet Burak

“…Nodül özellikleri, akciğer nodüllerinin değerlendirilmesinde kullanılan, genelde uzman görüşüne göre öznel değerlendirmelerdir. Bunlardan en bilineni ve…”
Get full text

A Multimodal Approach for Recognizing Human Actions Using Depth Information by Keceli, Ali Seydi, Can, Ahmet Burak

“…Human action recognition using depth information is a trending technology especially in human computer interaction. Depth information may provide more robust…”
Get full text

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges by Amiri, Ali, Kaya, Aydin, Keceli, Ali Seydi

“…Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a distributed network of cameras spanning diverse traffic environments…”
Get full text

Predicting Success in Descemet Membrane Endothelial Keratoplasty Surgery Using Machine Learning by Karaca, Emine Esra, Bulut Ustael, Ayça, Keçeli, Ali Seydi, Kaya, Aydin, Uçan, Alaettin, Evren Kemer, Ozlem

“…This study aimed to predict early graft failure (GF) in patients who underwent Descemet membrane endothelial keratoplasty based on donor characteristics…”
Get full text

Classification of radiolarian fossil images with deep learning methods by Keceli, Ali Seydi, Keceli, Seda Uzuncimen, Kaya, Aydin

“…Radiolarians are some kind of planktonic protozoa and are important biostratigraphic and paleoenvironmental indicators for palaeogeographic reconstructions…”
Get full text

Action recognition with skeletal volume and deep learning by Keceli, Ali Seydi, Kaya, Aydin, Can, Ahmet Burak

“…The use of depth sensors in activity recognition is a technology that emerges in human computer interaction and motion recognition. In this study, an approach…”
Get full text