A novel anomaly detection approach based on neural networks. - Tolga Ergen; Mine Kerpicci (SIU, 2018)

Sequential Anomaly Detection Using Nonparametric Density Estimators. - Mine Kerpicci; Suleyman Serdar Kozat; Huseyin Ozkan (SIU, 2019)

Online Kernel-Based Nonlinear Neyman-Pearson Classification. - Basarbatu Can; Mine Kerpicci; Huseyin Ozkan (EUSIPCO, 2020)

Efficient online learning with improved LSTM neural networks. - Ali H. Mirza; Mine Kerpicci; Suleyman Serdar Kozat (Digit. Signal Process., 2020)

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. - Mine Kerpicci; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Hierarchical Approach for Multiple Periodicity Detection in Software Code Analysis. - Mine Kerpicci; Milos Prvulovic; Alenka G. Zajic (IEEE Access, 2022)

Application of Knowledge Distillation to Multi-Task Speech Representation Learning. - Mine Kerpicci; Van Nguyen; Shuhua Zhang; Erik Visser (INTERSPEECH, 2023)

Efficient Dissimilarity Detection in Time Series With Application to Side-Channel Analysis. - Mine Kerpicci; Milos Prvulovic; Alenka G. Zajic (IEEE Access, 2023)