Do&#231;. Dr. TALHA BURAK ALAKUŞ

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.35, sa.2, ss.735-743, 2023 (TRDizin)

12. Prediction of Monkeypox on the Skin Lesion with the Siamese Deep Learning Model

Balkan Journal of Electrical and Computer Engineering , cilt.11, sa.3, ss.225-231, 2023 (TRDizin)

13. A Novel Repetition Frequency-Based DNA Encoding Scheme to Predict Human and Mouse DNA Enhancers with Deep Learning

Abdulrahman A., Baykara M., ALAKUŞ T. B.

Biomimetics , cilt.8, sa.2, 2023 (SCI-Expanded, Scopus)

14. A Novel Approach for Emotion Recognition Based on EEG Signal Using Deep Learning

Applied Sciences (Switzerland) , cilt.12, sa.19, 2022 (SCI-Expanded, Scopus)

15. Comparison of Monkeypox and Wart DNA Sequences with Deep Learning Model

ALAKUŞ T. B., Baykara M.

Applied Sciences (Switzerland) , cilt.12, sa.20, 2022 (SCI-Expanded, Scopus)

16. Prediction of viral-host interactions of COVID-19 by computational methods

Chemometrics and Intelligent Laboratory Systems , cilt.228, 2022 (SCI-Expanded, Scopus)

17. Prediction of human protein functions with protein mapping techniques and deep learning model

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI , cilt.28, sa.2, ss.255-265, 2022 (TRDizin)

18. Kanser Teşhisinde Protein Haritalama Tekniklerinin Başarımlarının Derin Öğrenme Kullanılarak Karşılaştırılması

Fırat Üniversitesi Mühendislik Bilimleri Dergisi , cilt.33, sa.2, ss.547-565, 2021 (TRDizin)

19. A novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis

Biomedical Signal Processing and Control , cilt.65, 2021 (SCI-Expanded, Scopus)

20. A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning

ALAKUŞ T. B., Türkoğlu İ.

Interdisciplinary Sciences – Computational Life Sciences , cilt.13, sa.1, ss.44-60, 2021 (SCI-Expanded, Scopus)

21. A novel Fibonacci hash method for protein family identification by using recurrent neural networks

Turkish Journal of Electrical Engineering and Computer Sciences , cilt.29, sa.1, ss.370-386, 2021 (SCI-Expanded, Scopus, TRDizin)

22. Emotion recognition with deep learning using GAMEEMO data set

Electronics Letters , cilt.56, sa.25, ss.1364-1367, 2020 (SCI-Expanded, Scopus)

23. Comparison of deep learning approaches to predict COVID-19 infection

Toraman S., ALAKUŞ T. B., Turkoglu I.

Chaos, Solitons and Fractals , cilt.140, 2020 (SCI-Expanded, Scopus)

24. Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks

Chaos, Solitons and Fractals , cilt.140, 2020 (SCI-Expanded, Scopus)

25. Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO

ALAKUŞ T. B., Gonen M., Turkoglu I.

Biomedical Signal Processing and Control , cilt.60, 2020 (SCI-Expanded, Scopus)

26. Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation based on EEG Signals

SAKARYA UNIVERSITY JOURNAL OF SCIENCE , cilt.23, sa.6, 2019 (TRDizin)

27. Pozitif ve Negatif Duyguların Ayrımında Etkili EEG Kanallarının Dalgacık Dönüşümü ve Destek Vektör Makineleri ile Belirlenmesi

INTERNATIONAL JOURNAL OF INFORMATICS TECHNOLOGIES , cilt.12, sa.3, 2019 (TRDizin)

28. EEG Tabanlı Duygu Analizi Sistemleri

YILMAZ M. U., ALAKUŞ T. B.

Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi , cilt.11, sa.1, ss.26-39, 2018 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 23

1. Estimation of Long-Term Drought in Kirklareli Province Using Random Forest and Support Vector Machine Models

11th International Symposium on Atmospheric Sciences, İstanbul, Türkiye, 23 - 25 Ekim 2024, ss.276-285, (Tam Metin Bildiri)

2. RNA Dizileme Veri Analizi Yoluyla Elde Edilen Kanserli Gen İfadelerinin LSTM Derin Öğrenme Modeliyle Sınıflandırması

The 19th International Scientific Research Congress, Türkiye, 16 - 17 Mart 2024, (Tam Metin Bildiri)

3. Comparative Analysis of Vision Transformer and CNN for Sunflower Disease Classification

13th International Academic Studies Conference, Türkiye, 27 - 28 Şubat 2024, (Tam Metin Bildiri)

4. PREDICTION OF FIREWALL LOGS AND ACTION CLASSIFICATION WITH ARTIFICIAL NEURAL NETWORKS

Aslanpençesi Z., Baykara M., ALAKUŞ T. B.

EURASIA III.INTERNATIONAL SCIENTIFIC RESEARCH AND INNOVATION CONGRESS, Ankara, Türkiye, 29 - 31 Ocak 2024, (Tam Metin Bildiri)

5. SMS Phishing Detection with Hybrid CNN-GRU

7th World Symposium on Communication Engineering, WSCE 2024, Tokyo, Japonya, 28 - 30 Eylül 2024, ss.52-56, (Tam Metin Bildiri)

6. Derin Öğrenme Modelleriyle Kalp Yetmezliği Tahmini

Ege 8th International Conference on Applied Sciences, İzmir, Türkiye, 2 - 04 Haziran 2023, (Tam Metin Bildiri)

7. Diyabet Hastalığının Tekrarlayıcı Sinir Ağları ile Sınıflandırılması ve Tahmin Edilmesi

Alakus D. O., ALAKUŞ T. B.

11. Uluslararası Mühendislik Mimarlık ve Tasarım Kongresi, İstanbul, Türkiye, 10 - 12 Haziran 2023, (Tam Metin Bildiri)

8. Classification of various crops with CNN deep learning model

2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023, Sivas, Türkiye, 11 - 13 Ekim 2023, (Tam Metin Bildiri)

9. PREDICTION OF SOFTWARE FAULTS WITH BILSTM DEEP LEARNING

2nd International Natural Science, Engineering and Material Technologies Conference, Kırklareli, Türkiye, 15 - 17 Eylül 2022, (Tam Metin Bildiri)

10. Determination of Coding and Non-Coding RNAs Using AVL Tree-Based Protein Mapping Method and Deep Learning

11th International Symposium on Intelligent Manufacturing and Service Systems, Sakarya, Türkiye, 27 - 29 Mayıs 2021, (Tam Metin Bildiri)

11. Comparison of the Performance of Deep Learning Models in EEG-Based Emotion Analysis

1st International Conference on Interdisciplinary Applications of AI, Yalova, Türkiye, 21 - 23 Mayıs 2021, (Tam Metin Bildiri)

12. Prediction of Protein-Protein Interactions with LSTM Deep Learning Model

3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019, Ankara, Türkiye, 11 - 13 Ekim 2019, (Tam Metin Bildiri)

13. DNA encoding with entropy based numerical mapping technique for phylogenetic analysis

ALAKUŞ T. B., Das B., Turkoglu I.

2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Malatya, Türkiye, 21 - 22 Eylül 2019, (Tam Metin Bildiri)

14. An Overview of Quality Metrics Used in Estimating Software Faults

ALAKUŞ T. B., Das R., Turkoglu I.

2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Malatya, Türkiye, 21 - 22 Eylül 2019, (Tam Metin Bildiri)

15. EEG-Based Emotion Estimation with Different Deep Learning Models

4th International Conference on Computer Science and Engineering, UBMK 2019, Samsun, Türkiye, 11 - 15 Eylül 2019, ss.33-37, (Tam Metin Bildiri)

16. Fokal ve Fokal Olmayan Beyin Sinyalleriyle Derin Öğrenme Kullanarak Epilepsi Nöbeti Tahminin Yapılması

Anadolu 2. Uluslararası Uygulamalı Bilimler Kongresi, Diyarbakır, Türkiye, 26 - 28 Nisan 2019, (Tam Metin Bildiri)

17. EEG tabanlı destek vektör makinaları ile duygu tanıma başarımını arttırmak için etkili özellik seçim yöntemi

3rd International European Congress on Mathematics, Engineering, Natural and Medical Sciences, Şanlıurfa, Türkiye, 2 Şubat - 02 Mart 2019, (Tam Metin Bildiri)

18. Determination of Accuracies from Different Wavelet Methods in Emotion Estimation Based on EEG Signals by Applying KNN Classifier