| 2024 | ICMLA | Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation. | Davoud Gholamiangonabadi, Katarina Grolinger |
| 2024 | IECON | Temporally Chained Equations: An Interpretable Missing Data Imputation Approach for Smart Meters with Low Data Requirements. | Madhushan Buwaneswaran, Katarina Grolinger |
| 2024 | IECON | Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas. | Muhammad Umair Danish, Madhushan Buwaneswaran, Tehara Fonseka, Katarina Grolinger |
| 2024 | IECON | ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. | Muhammad Umair Danish, Mohammad Noorchenarboo, Apurva Narayan, Katarina Grolinger |
| 2023 | ICMLA | Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. | Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger |
| 2023 | IECON | Scheduling Electric Vehicle Charging for Grid Load Balancing. | Zhixin Han, Katarina Grolinger, Miriam A. M. Capretz, Syed Mir |
| 2020 | ICWS | ServeNet: A Deep Neural Network for Web Services Classification. | Yilong Yang, Nafees Qamar, Peng Liu, Katarina Grolinger, Weiru Wang, Zhi Li, Zhifang Liao |
| 2018 | ICMLA | Forecasting Residential Energy Consumption: Single Household Perspective. | Xiaoou Monica Zhang, Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald |
| 2016 | BigData | Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources. | Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald |
| 2016 | IJCNN | Collective contextual anomaly detection framework for smart buildings. | Daniel B. Araya, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz, Girma T. Bitsuamlak |
| 2015 | CLOSER | A Generalized Service Replication Process in Distributed Environments. | Hany F. El Yamany, Marwa F. Mohamed, Katarina Grolinger, Miriam A. M. Capretz |
| 2015 | ICMLA | Predicting Energy Demand Peak Using M5 Model Trees. | Sara S. Abdelkader, Katarina Grolinger, Miriam A. M. Capretz |
| 2015 | ICMLA | MLaaS: Machine Learning as a Service. | Mauro Ribeiro, Katarina Grolinger, Miriam A. M. Capretz |
| 2014 | SERVICES | Challenges for MapReduce in Big Data. | Katarina Grolinger, Michael A. Hayes, Wilson A. Higashino, Alexandra L'Heureux, David S. Allison, Miriam A. M. Capretz |
| 2013 | WETICE | Knowledge as a Service Framework for Disaster Data Management. | Katarina Grolinger, Miriam A. M. Capretz, Emna Mezghani, Ernesto Exposito |
| 2012 | SEKE | Ontology-based Representation of Simulation Models. | Katarina Grolinger, Miriam A. M. Capretz, Jos R. Mart, Krishan D. Srivastava |
| 2011 | SEKE | From Glossaries to Ontologies: Disaster Management Domain(S). | Katarina Grolinger, Kevin P. Brown, Miriam A. M. Capretz |