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ORCIDMine Kerpicci
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2020 – today
- 2023
[j4]Mine Kerpicci
, Milos Prvulovic, Alenka G. Zajic:
Efficient Dissimilarity Detection in Time Series With Application to Side-Channel Analysis. IEEE Access 11: 93064-93076 (2023)- [c4]Mine Kerpicci, Van Nguyen, Shuhua Zhang, Erik Visser:
Application of Knowledge Distillation to Multi-Task Speech Representation Learning. INTERSPEECH 2023: 2813-2817 - 2022
- [j3]Mine Kerpicci, Milos Prvulovic, Alenka G. Zajic:
A Hierarchical Approach for Multiple Periodicity Detection in Software Code Analysis. IEEE Access 10: 106936-106945 (2022) - [i1]Mine Kerpicci, Van Nguyen, Shuhua Zhang, Erik Visser:
Application of Knowledge Distillation to Multi-task Speech Representation Learning. CoRR abs/2210.16611 (2022) - 2021
- [j2]Mine Kerpicci, Huseyin Ozkan, Suleyman Serdar Kozat:
Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4253-4266 (2021) - 2020
- [j1]Ali H. Mirza, Mine Kerpicci, Suleyman Serdar Kozat:
Efficient online learning with improved LSTM neural networks. Digit. Signal Process. 102: 102742 (2020) - [c3]Basarbatu Can, Mine Kerpicci, Huseyin Ozkan:
Online Kernel-Based Nonlinear Neyman-Pearson Classification. EUSIPCO 2020: 1618-1622
2010 – 2019
- 2019
- [c2]Mine Kerpicci, Suleyman Serdar Kozat, Huseyin Ozkan:
Sequential Anomaly Detection Using Nonparametric Density Estimators. SIU 2019: 1-4 - 2018
- [c1]Tolga Ergen, Mine Kerpicci:
A novel anomaly detection approach based on neural networks. SIU 2018: 1-4
Coauthor Index
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