Dr. Öğr. Üyesi EMRE DELİBAŞ

Makaleler 8

1. Promoter Classification in Human Genome via DNA2Vec and UNK-Aware Deep Neural Networks

Mengen A., DELİBAŞ E.

Journal of Engineering Faculty , cilt.3, sa.1, ss.92-99, 2025 (Hakemli Dergi)

2. Efficient TF-IDF method for Alignment-Free DNA Sequence Similarity Analysis

Delibaş E.

JOURNAL OF MOLECULAR GRAPHICS AND MODELLING , cilt.137, sa.6, ss.1, 2025 (SCI-Expanded)

3. Using transfer learning models for DNA sequence similarity via fCGR method

Delibaş E.

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi , cilt.14, sa.2, ss.1, 2025 (Hakemli Dergi)

4. Biyoinformatikte Yapay Zekâ Kullanımı

Delibaş E.

Yeni Türkiye Yapay Zeka Özel Sayısı , sa.138, ss.164-175, 2024 (Hakemli Dergi)

5. A New Feature Vector Model for Alignment-free DNA Sequence Similarity Analysis

Delibaş E., Arslan A.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES , cilt.40, sa.3, ss.610-619, 2022 (ESCI)

6. A novel alignment-free DNA sequence similarity analysis approach based on top-k n-gram match-up

DELİBAŞ E., Arslan A., ŞEKER A., DİRİ B.

Journal of Molecular Graphics and Modelling , cilt.100, 2020 (SCI-Expanded)

7. DNA sequence similarity analysis using image texture analysis based on first-order statistics

Delibaş E., Arslan A.

Journal Of Molecular Graphics & Modelling , cilt.99, ss.107603, 2020 (SCI-Expanded)

8. Comparison of the Effects of Different Dimensional Reduction Algorithms on the Training Performance of Anfis (Adaptive Neuro-Fuzzy Inference System) Model

Yüksek A. G., Arslan H., Kaynar O., Delibaş E., Şeker A.

Cumhuriyet Science Journal , cilt.38, sa.4, ss.716-730, 2017 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 12

1. Multi-Dimensional Automatic Classification of Software Bug Reports: Category, Priority, and Resolution Time

Daştan H., DELİBAŞ E.

2nd International Conference on Pioneer and Academic Research, Konya, Türkiye, 15 Eylül 2025, ss.544-551, (Tam Metin Bildiri)

2. Improving Anomaly Detection Performance in Time Series Data with Latent Feature Extraction

Çitil S., Delibaş E.

7th International Conference on Applied Engineering and Natural Sciences, 15 Mayıs 2025, ss.135, (Özet Bildiri)

3. Is Manual Feature Filtering Still Necessary After Automated Extraction? A Comparative Study

DELİBAŞ E.

II. International Data Science and Information Technologies Congress (INFTEC 2025), Budapest, Macaristan, 22 Mayıs 2025, ss.117-123, (Tam Metin Bildiri)

4. Deep Recurrent Models for Carbon Emission Forecasting: A Case Study on Canadian Vehicle Data

Çiftçi H., DELİBAŞ E., ADEM K.

II. International Data Science and Information Technologies Congress (INFTEC 2025), Budapest, Macaristan, 22 Mayıs 2025, ss.110-116, (Tam Metin Bildiri)