Music Emotion Recognition by Using Chroma Spectrogram and Deep Visual Features. - Mehmet Bilal Er; Ibrahim Berkan Aydilek (Int. J. Comput. Intell. Syst., 2019)

Makine öğrenmesi ile Türk müziğinde duygu analizi (Emotion analysis in Turkish music with machine learning) - Mehmet Bilal Er (2019)

A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features. - Mehmet Bilal Er (IEEE Access, 2020)

Epileptic Seizure Detection via EEG Signals with Feature Extraction Technique Based on Cubic Spline Interpolation (In English). - Emre Can Kuran; Mehmet Bilal Er; Umut Kuran (SIU, 2021)

Parkinson's detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition. - Mehmet Bilal Er; Esme Isik; Ibrahim Isik (Biomed. Signal Process. Control., 2021)

Sub-Image Histogram Equalization using Coot Optimization Algorithm for Segmentation and Parameter Selection. - Emre Can Kuran; Umut Kuran; Mehmet Bilal Er (CoRR, 2022)

Analysis and classification of the mobile molecular communication systems with deep learning. - Ibrahim Isik; Mehmet Bilal Er; Esme Isik (J. Ambient Intell. Humaniz. Comput., 2022)

COVID-19 detection based on pre-trained deep networks and LSTM model using X-ray images enhanced contrast with artificial bee colony algorithm. - Mehmet Bilal Er (Expert Syst. J. Knowl. Eng., 2023)

Turkish Music Emotion. - Mehmet Bilal Er (UCI Machine Learning Repository, 2023)

A novel approach for autocorrelation-based classification of environmental audio signals using recurrent network and metaheuristic algorithms. - Mehmet Bilal Er; Nagehan Ilhan; Kemal Guner; Umut Kuran (Signal Image Video Process., 2025)

Correction: A novel approach for autocorrelation-based classification of environmental audio signals using recurrent network and metaheuristic algorithms. - Mehmet Bilal Er; Nagehan Ilhan; Kemal Guner; Umut Kuran (Signal Image Video Process., 2025)