Dr. Öğr. Üyesi RUKİYE SAVRAN KIZILTEPE

Yayın Ağı

Makaleler 6

1. Energy-time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters

Escobar J. J., Sánchez-Cuevas P., Prieto B., SAVRAN KIZILTEPE R., Díaz-del-Río F., Kimovski D.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE , cilt.167, 2025 (SCI-Expanded, Scopus)

2. Advancing Sentiment Analysis for Low-Resource Languages Using Fine-Tuned LLMs: A Case Study of Customer Reviews in Turkish Language

Savran Kızıltepe R., Ezin E., Yentür Ö., Basbrain A. M., Karakus M.

IEEE ACCESS , cilt.13, ss.77382-77394, 2025 (SCI-Expanded)

3. Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification

Kiziltepe R., Gan J. Q., Escobar J. J.

IEEE ACCESS , ss.19432-19446, 2024 (SCI-Expanded, Scopus)

4. A novel keyframe extraction method for video classification using deep neural networks

Kiziltepe R., Gan J. Q., Jose Escobar J.

NEURAL COMPUTING & APPLICATIONS , cilt.35, sa.34, ss.24513-24524, 2023 (SCI-Expanded, Scopus)

5. An annotated video dataset for computing video memorability

SAVRAN KIZILTEPE R., Sweeney L., Constantin M. G., Doctor F., Seco de Herrera A. G., Demarty C., et al.

DATA IN BRIEF , cilt.39, ss.107671, 2021 (ESCI)

6. Examining Information and Communication Technologies Preservice Teachers’ Views On Technology Integration and Their Roles In This Process

Demirarslan Çevik Y., Dağhan G., BARIN S., Savran Kızıltepe R.

Journal of Theory and Practice in Education , cilt.11, sa.4, ss.1143-1166, 2015 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 13

1. Benchmarking STT Systems for Turkish: Accuracy and Transcription Performance Evaluation

Kamali H. O., Oz Z., Gorgulu A. B., Savran Kızıltepe R., Karakuş M.

10th International Conference on Computer Science and Engineering (UBMK), İstanbul, Türkiye, 17 - 19 Eylül 2025, ss.1275-1280, (Tam Metin Bildiri)

2. Comparative Analysis of MLP and Vision Transformers for Video Memorability Classification

Tekay E. N., Isleyen I. A., Gungor B., Karakuş M., Savran Kızıltepe R.

10th International Conference on Computer Science and Engineering (UBMK), İstanbul, Türkiye, 17 - 19 Eylül 2025, ss.1076-1081, (Tam Metin Bildiri)

3. VIDEM: VIDeo Effectiveness and Memorability Dataset

Savran Kızıltepe R., Sahab S., Santana R. V., Doctor F., Paterson K., Hunstone D., et al.

International Work-Conference on Artificial Neural Networks, A-Coruna, İspanya, 16 Temmuz 2025, (Tam Metin Bildiri)

4. Using LLMs for Annotation and ML Methods for Comparative Analysis of Large-Scale Turkish Sentiment Datasets

Ezin E., Savran Kızıltepe R., Karakuş M.

9th International Conference on Computer Science and Engineering (UBMK), Antalya, Türkiye, 26 - 28 Ekim 2024, ss.204-209, (Tam Metin Bildiri)

5. A Comparative Study of ML Models on Large-Scale Turkish Sentiment Datasets

SAVRAN KIZILTEPE R., EZİN E., KARAKUŞ M.

20th Innovations in Intelligent Systems and Applications Conference 2024 (ASYU 2024), Ankara, Türkiye, 16 - 18 Ekim 2024, ss.1-6, (Tam Metin Bildiri)

6. Overview of The MediaEval 2023 Predicting Video Memorability Task

Constantin M. G., Demarty C., Fosco C., Seco De Herrera A. G., Halder S., Healy G., et al.

MediaEval 2023, Amsterdam, Hollanda, 1 - 02 Şubat 2024, (Tam Metin Bildiri)

7. Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

Escobar J. J., Rodríguez F., Savran Kızıltepe R., Prieto B., Kimovski D., Ortiz A., et al.

18th International Work-Conference on Artificial Neural Networks, Porto, Portekiz, 19 - 21 Haziran 2023, (Tam Metin Bildiri)

8. Overview of The MediaEval 2021 Predicting Media Memorability Task

SAVRAN KIZILTEPE R., Constantin M. G., Demarty C., Healy G., Fosco C., Seco de Herrera A. G., et al.

MediaEval 2021, İngiltere, 13 - 15 Aralık 2021, (Tam Metin Bildiri)

9. Essex-NLIP at MediaEval Predicting MediaMemorability 2020 Task

Jacutprakart J., SAVRAN KIZILTEPE R., Gan J. Q., Papanastasiou G., Seco de Herrera A. G.

MediaEval 2020, İngiltere, 14 - 16 Aralık 2020, cilt.1, (Tam Metin Bildiri)

10. Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?

Seco de Herrera A. G., SAVRAN KIZILTEPE R., Chamberlain J., Constantin M. G., Demarty C., Doctor F., et al.

MediaEval 2020, İngiltere, 14 - 16 Aralık 2020, (Tam Metin Bildiri)

11. Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification

SAVRAN KIZILTEPE R., Gan J. Q.

Intelligent Data Engineering and Automated Learning–IDEAL 2020: 21st International Conference, Guimaraes, Portekiz, 4 - 06 Kasım 2020, ss.77-87, (Tam Metin Bildiri)

12. Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification

SAVRAN KIZILTEPE R., Gan J. Q., Jose Escobar J.

15th International Work-Conference on Artificial Neural Networks, Gran Canaria, İspanya, 12 - 14 Haziran 2019, ss.811-822, (Tam Metin Bildiri)

13. Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification

Escobar J. J., Ortega J., Damas M., SAVRAN KIZILTEPE R., Gan J. Q.

15th International Work-Conference on Artificial Neural Networks, Gran Canaria, İspanya, 12 - 14 Haziran 2019, ss.895-907, (Tam Metin Bildiri)

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