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Rukiye Savran Kiziltepe
Rukiye Savran Kiziltepe
Karadeniz Technical University
Verified email at essex.ac.uk
Title
Cited by
Cited by
Year
A novel keyframe extraction method for video classification using deep neural networks
R Savran Kızıltepe, JQ Gan, JJ Escobar
Neural Computing and Applications 35 (34), 24513-24524, 2023
312023
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
AGS De Herrera, RS Kiziltepe, J Chamberlain, MG Constantin, ...
arXiv preprint arXiv:2012.15650, 2020
252020
Overview of The MediaEval 2021 Predicting Media Memorability Task
RS Kiziltepe, MG Constantin, CH Demarty, G Healy, C Fosco, ...
arXiv preprint arXiv:2112.05982, 2021
162021
Examining Information and Communication Technologies Preservice Teachers’ Views On Technology Integration and Their Roles In This Process/Bilişim Teknolojileri Öğretmen …
YD ÇEVİK, G DAĞHAN, S BARIN, R SAVRAN
Eğitimde Kuram ve Uygulama 11 (4), 1143-1166, 2015
52015
Overview of the mediaeval 2023 predicting video memorability task
MG Constantin, CH Demarty, C Fosco, AGS de Herrera, S Halder, ...
Proc. of the MediaEval 2023 Workshop, Amsterdam, The Netherlands and Online, 2024
42024
An annotated video dataset for computing video memorability
RS Kiziltepe, L Sweeney, MG Constantin, F Doctor, AGS de Herrera, ...
Data in Brief 39, 107671, 2021
42021
Energy-time analysis of convolutional neural networks distributed on heterogeneous clusters for EEG classification
JJ Escobar, J Ortega, M Damas, RS Kızıltepe, JQ Gan
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
42019
Combining very deep convolutional neural networks and recurrent neural networks for video classification
R Savran Kızıltepe, JQ Gan, JJ Escobar
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
32019
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification
RS Kızıltepe, JQ Gan
Intelligent Data Engineering and Automated Learning–IDEAL 2020: 21st …, 2020
22020
Bilişim Teknolojileri öğretmen adaylarının teknoloji entegrasyonuna ve bu süreçteki rollerine ilişkin görüşlerinin incelenmesi
Y Demiraslan Çevik, G Dağhan, S Barın, R Savran
Eğitimde Kuram ve Uygulama 11 (4), 2015
22015
Overview of MediaEval 2020 Predicting Media Memorability task: What does it Make a Video Memorable?
A Garcia Seco De Herrera, R Savran Kiziltepe, J Chamberlain, ...
Working Notes Proceedings of the MediaEval 2020 Workshop 2882, 2020
12020
Essex-NLIP at MediaEval Predicting MediaMemorability 2020 Task
J Jacutprakart, R Savran Kiziltepe, J Gan, G Papanastasiou, ...
Working Notes Proceedings of the MediaEval 2020 Workshop 2882, 2020
12020
Integration of Feature and Decision Fusion with Deep Learning Architectures for Video Classification
RS Kiziltepe, JQ Gan, JJ Escobar
IEEE Access, 2024
2024
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms
JJ Escobar, F Rodríguez, RS Kızıltepe, B Prieto, D Kimovski, A Ortiz, ...
International Work-Conference on Artificial Neural Networks, 505-516, 2023
2023
Spatiotemporal Features and Deep Learning Methods for Video Classification
RS Kızıltepe
University of Essex, 2022
2022
Annálisis Energía-Tiempo de Redes Neuronales Convolucionales Distribuidas en Clusters Heterogéneos para clasificación de EEGs
JJ Escobar, JO Lopera, M Damas, RS Kiziltepe, JQ Gan
Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas …, 2019
2019
Experimental Comparison of Machine Learning Methods for Preparing Entries to Kaggle Machine Learning Competitions
R Savran
University of Essex, 2017
2017
Examining information and communication technologies preservice teachers’ views on technology integration and their roles in this process
S Barın, G Dağhan, Y Demiraslan Çevik, R Savran
Çanakkale Onsekiz Mart Üniversitesi, 2015
2015
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