| Comparison of deep learning approaches to predict COVID-19 infection TB Alakus, I Turkoglu Chaos, Solitons & Fractals 140, 110120, 2020 | 401 | 2020 |
| Convolutional CapsNet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks S Toraman, TB Alakus, I Turkoglu Chaos, Solitons & Fractals, 110122, 2020 | 368 | 2020 |
| Database for an emotion recognition system based on EEG signals and various computer games–GAMEEMO TB Alakus, M Gonen, I Turkoglu Biomedical Signal Processing and Control 60, 101951, 2020 | 169 | 2020 |
| Comparison of Monkeypox and Wart DNA Sequences with Deep Learning Model TB Alakuş, M Baykara Applied Sciences 12 (20), 2022 | 40 | 2022 |
| Emotion recognition with deep learning using GAMEEMO data set TB Alakus, I Turkoglu Electronics Letters 56 (25), 1364-1367, 2020 | 34 | 2020 |
| An Overview of Quality Metrics Used in Estimating Software Faults TB Alakus, R Das, I Turkoglu Artificial Intelligence and Data Processing Symposium (IDAP), 2019 | 29 | 2019 |
| A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning TB Alakus, I Turkoglu Interdisciplinary Sciences: Computational Life Sciences, 1-17, 2021 | 28 | 2021 |
| Detection of pre-epileptic seizure by using wavelet packet decomposition and artifical neural networks TB Alakus, I Turkoglu 2017 10th International Conference on Electrical and Electronics Engineering …, 2017 | 24 | 2017 |
| A Novel Approach for Emotion Recognition Based on EEG Signal Using Deep Learning A Awf, B Muhammet, A Talha Burak Applied Sciences 12 (19), 2022 | 22 | 2022 |
| Prediction of Protein-Protein Interactions with LSTM Deep Learning Model TB Alakus, I Turkoglu 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019 | 22 | 2019 |
| Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation based on EEG Signals TB Alakuş, İ Türkoğlu Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 23 (6), 1096 - 1105, 2019 | 14 | 2019 |
| Analysis of brain areas in emotion recognition from EEG signals with deep learning methods M Aslan, M Baykara, TB Alakuş Multimedia Tools and Applications 83 (11), 32423-32452, 2024 | 10 | 2024 |
| A novel Fibonacci hash method for protein family identification by usingrecurrent neural networks TB Alakuş, İ Türkoğlu Turkish Journal of Electrical Engineering and Computer Sciences 29 (1), 370-386, 2021 | 10 | 2021 |
| EEG-Based Emotion Estimation with Different Deep Learning Models TB Alakus, I Turkoglu 2019 4th International Conference on Computer Science and Engineering (UBMK …, 2019 | 9 | 2019 |
| LieWaves: dataset for lie detection based on EEG signals and wavelets M Aslan, M Baykara, TB Alakus Medical & Biological Engineering & Computing 62 (5), 1571-1588, 2024 | 6 | 2024 |
| Pozitif ve negatif duyguların ayrımında etkili eeg kanallarının dalgacık dönüşümü ve destek vektör makineleri ile belirlenmesi TB Alakuş, İ Türkoğlu Bilişim Teknolojileri Dergisi 12 (3), 229-237, 2019 | 6 | 2019 |
| EEG Verilerinden İşaret İşleme ve Sınıflandırma Teknikleri Kullanılarak Duygu Tahmini TB Alakuş Fırat Üniversitesi Fen Bilimleri Enstitüsü, 2018 | 5 | 2018 |
| EEG Tabanlı Duygu Analizi Sistemleri TB Alakuş, İ Türkoğlu Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 11 (1 …, 2018 | 5 | 2018 |
| Yazilim geliştirme süreçlerinin analizi: Zorluklar, tasarim prensipleri ve tekniksel yaklaşimlar TB Alakuş, R Daş, İ Türkoğlu Artificial Intelligence and Data Processing Symposium (IDAP), 2017 …, 2017 | 5 | 2017 |
| A Novel Repetition Frequency-Based DNA Encoding Scheme to Predict Human and Mouse DNA Enhancers with Deep Learning TB Alakuş Biomimetics 8 (2), 2023 | 4 | 2023 |
Ibrahim TurkogluProfessor of Department of Software Engineering, Firat UniversityPatvirtintas el. paštas firat.edu.tr