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ORCIDRukiye Savran Kiziltepe
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2020 – today
- 2025
[j4]Rukiye Savran Kiziltepe
, Ercan Ezin, Ömer Yentür, Arwa M. Basbrain, Murat Karakus:
Advancing Sentiment Analysis for Low-Resource Languages Using Fine-Tuned LLMs: A Case Study of Customer Reviews in Turkish Language. IEEE Access 13: 77382-77394 (2025)- [j3]Juan José Escobar, Pablo Sánchez-Cuevas, Beatriz Prieto, Rukiye Savran Kiziltepe, Fernando Díaz-del-Río, Dragi Kimovski:
Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters. Future Gener. Comput. Syst. 167: 107753 (2025) - [c9]Rukiye Savran Kiziltepe, Sohail Sahab, Rodrigo Valladares Santana, Faiyaz Doctor, Kate Paterson, David Hunstone, Alba Garcia Seco de Herrera:
VIDEM: VIDeo Effectiveness and Memorability Dataset. IWANN (1) 2025: 41-54 - 2024
- [j2]Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar:
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification. IEEE Access 12: 19432-19446 (2024) - 2023
- [j1]Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar:
A novel keyframe extraction method for video classification using deep neural networks. Neural Comput. Appl. 35(34): 24513-24524 (2023) - [c8]Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas:
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms. IWANN (1) 2023: 505-516 - [c7]Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Rukiye Savran Kiziltepe, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2023 Predicting Video Memorability Task. MediaEval 2023 - 2022
- [b1]Rukiye Savran Kiziltepe:
Spatiotemporal features and deep learning methods for video classification. University of Essex, Colchester, UK, 2022 - 2021
- [c6]Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. MediaEval 2021 - [i3]Rukiye Savran Kiziltepe, Lorin Sweeney, Mihai Gabriel Constantin, Faiyaz Doctor, Alba Garcia Seco de Herrera, Claire-Hélène Demarty, Graham Healy, Bogdan Ionescu, Alan F. Smeaton:
An Annotated Video Dataset for Computing Video Memorability. CoRR abs/2112.02303 (2021) - [i2]Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney:
Overview of The MediaEval 2021 Predicting Media Memorability Task. CoRR abs/2112.05982 (2021) - 2020
- [c5]Rukiye Savran Kiziltepe, John Q. Gan:
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification. IDEAL (1) 2020: 77-87 - [c4]Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? MediaEval 2020 - [c3]Janadhip Jacutprakart, Rukiye Savran Kiziltepe, John Q. Gan, Giorgos Papanastasiou, Alba Garcia Seco de Herrera:
Essex-NLIP at MediaEval Predicting Media Memorability 2020 Task. MediaEval 2020 - [i1]Alba García Seco de Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton:
Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable? CoRR abs/2012.15650 (2020)
2010 – 2019
- 2019
- [c2]Rukiye Savran Kiziltepe, John Q. Gan, Juan José Escobar:
Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification. IWANN (2) 2019: 811-822 - [c1]Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan:
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) 2019: 895-907
Coauthor Index
aka: Alba García Seco de Herrera
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