Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection. - Davoud Gholamiangonabadi; Nikita Kiselov; Katarina Grolinger (IEEE Access, 2020)

Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood. - Yasamin Kowsari; Sanaz Nakhodchi; Davoud Gholamiangonabadi (CoRR, 2022)

Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing. - Davoud Gholamiangonabadi; Katarina Grolinger (Appl. Intell., 2023)

Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation. - Davoud Gholamiangonabadi; Katarina Grolinger (ICMLA, 2024)

Federated Learning for Sentiment Analysis in Presence of Non-IID Data: Sensitivity of Deep Learning Models. - Davoud Gholamiangonabadi; Katarina Grolinger (IEEE Access, 2024)