APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining. - Alireza Zamanian; Saeed Bakhshi Germi; Ehsan Mahmoudpour (TopHPC, 2017)

Selective Probabilistic Classifier Based on Hypothesis Testing. - Saeed Bakhshi Germi; Esa Rahtu; Heikki Huttunen (EUVIP, 2021)

Effect of Label Noise on Robustness of Deep Neural Network Object Detectors. - Bishwo Adhikari; Jukka Peltomäki; Saeed Bakhshi Germi; Esa Rahtu; Heikki Huttunen (SAFECOMP Workshops, 2021)

A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms. - Saeed Bakhshi Germi; Esa Rahtu (SafeAI@AAAI, 2022)

Enhanced Data-Recalibration: Utilizing Validation Data to Mitigate Instance-Dependent Noise in Classification. - Saeed Bakhshi Germi; Esa Rahtu (ICIAP (1), 2022)

IFMix: Utilizing Intermediate Filtered Images for Domain Adaptation in Classification. - Saeed Bakhshi Germi; Esa Rahtu (VISIGRAPP (5: VISAPP), 2023)

Deep Neural Classifiers in Safety-Critical Applications: Safety concerns and mitigation methods. - Saeed Bakhshi Germi (2024)