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ORCIDJanne Alatalo
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2020 – today
- 2023
[j1]Janne Alatalo
, Tuomo Sipola, Mika Rantonen:
Improved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)- [c7]Janne Alatalo, Tuomo Sipola, Tero Kokkonen:
Food Supply Chain Cyber Threats: A Scoping Review. WorldCIST (3) 2023: 94-104 - [i2]Janne Alatalo, Tuomo Sipola, Mika Rantonen:
Improved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep Learning. CoRR abs/2303.17835 (2023) - 2022
- [c6]Tuomo Sipola, Janne Alatalo, Tero Kokkonen, Mika Rantonen:
Artificial Intelligence in the IoT Era: A Review of Edge AI Hardware and Software. FRUCT 2022: 320-331 - [c5]Janne Alatalo, Joni Korpihalkola, Tuomo Sipola, Tero Kokkonen:
Chromatic and Spatial Analysis of One-Pixel Attacks Against an Image Classifier. NETYS 2022: 303-316 - [c4]Janne Alatalo, Tuomo Sipola, Tero Kokkonen:
Detecting One-Pixel Attacks Using Variational Autoencoders. WorldCIST (1) 2022: 611-623 - 2021
- [i1]Janne Alatalo, Joni Korpihalkola, Tuomo Sipola, Tero Kokkonen:
Chromatic and spatial analysis of one-pixel attacks against an image classifier. CoRR abs/2105.13771 (2021) - 2020
- [c3]Samir Puuska, Tero Kokkonen, Petri Mutka, Janne Alatalo, Eppu Heilimo, Antti Mäkelä:
Statistical Evaluation of Artificial Intelligence -Based Intrusion Detection System. WorldCIST (2) 2020: 464-470
2010 – 2019
- 2019
- [c2]Tero Kokkonen, Samir Puuska, Janne Alatalo, Eppu Heilimo, Antti Mäkelä:
Network Anomaly Detection Based on WaveNet. NEW2AN 2019: 424-433 - 2018
- [c1]Samir Puuska, Tero Kokkonen, Janne Alatalo, Eppu Heilimo:
Anomaly-Based Network Intrusion Detection Using Wavelets and Adversarial Autoencoders. SecITC 2018: 234-246
Coauthor Index
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