Katarina Grolinger

69 papers A 1B 2C 13Journal 39Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction. CoRR Piragash Manmatharasan, Girma T. Bitsuamlak, Katarina Grolinger
2026	J	`jnl`	Monotone delta: an order-theoretic tournament graph approach for internal consistency assessment. Frontiers Appl. Math. Stat. Muhammad Umair Danish, Umair Rehman, Katarina Grolinger
2025	J	`jnl`	Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data. CoRR Dumindu Tissera, Omar Awadallah, Muhammad Umair Danish, Ayan Sadhu, Katarina Grolinger
2025	J	`jnl`	Augmented Reality-Based Smart Structural Health Monitoring System With Accurate 3D Model Alignment. CoRR Omar Awadallah, Katarina Grolinger, Ayan Sadhu
2025	—	`conf`	Estimating Thorax and Shoulder Motion Using Magnetic-Free Quaternion-Based Functional Sensor-To-Segment Calibration. ICORR Sergio A. Salinas, Mahshad Berjis, Katarina Grolinger, Ana Luisa Trejos
2025	J	`jnl`	Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data. CoRR Mohammad Noorchenarboo, Katarina Grolinger
2025	J	`jnl`	Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks. CoRR Yohannis Kifle Telila, Damitha Senevirathne, Dumindu Tissera, Apurva Narayan, Miriam A. M. Capretz, Katarina Grolinger
2025	J	`jnl`	Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification. J. Comput. Civ. Eng. Kyle Dunphy, Madhushan Buwaneswaran, Katarina Grolinger, Ayan Sadhu
2025	J	`jnl`	Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images. IEEE Trans. Hum. Mach. Syst. Memoona Aziz, Umair Rehman, Muhammad Umair Danish, Katarina Grolinger
2025	J	`jnl`	Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas. CoRR Muhammad Umair Danish, Madhushan Buwaneswaran, Tehara Fonseka, Katarina Grolinger
2025	J	`jnl`	Improving retail sales through unsupervised collective-contextual anomaly detection: a deep reconstruction autoencoder for network-wide sales analysis. Appl. Intell. Tehara Fonseka, Anton Tulenkov, Katarina Grolinger
2025	J	`jnl`	Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers. CoRR Muhammad Umair Danish, Katarina Grolinger
2025	J	`jnl`	Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types. CoRR Muhammad Umair Danish, Katarina Grolinger
2025	J	`jnl`	Physics-Guided Memory Network for Building Energy Modeling. CoRR Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui, Katarina Grolinger
2024	C	`conf`	ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. IECON Muhammad Umair Danish, Mohammad Noorchenarboo, Apurva Narayan, Katarina Grolinger
2024	C	`conf`	Clustered Federated Learning with Non-IID Data: Mitigating Accuracy Overestimates Through Hold-Out Model Selection and Evaluation. ICMLA Davoud Gholamiangonabadi, Katarina Grolinger
2024	—	`conf`	Evaluating Mixed Reality Technology for Tracking Hand Motion for Shoulder Rehabilitation Assessment. BioRob Sergio A. Salinas, Katarina Grolinger, Marie-Eve LeBel, Ana Luisa Trejos
2024	J	`jnl`	Federated Learning for Sentiment Analysis in Presence of Non-IID Data: Sensitivity of Deep Learning Models. IEEE Access Davoud Gholamiangonabadi, Katarina Grolinger
2024	J	`jnl`	Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images. CoRR Memoona Aziz, Umair Rehman, Muhammad Umair Danish, Katarina Grolinger
2024	C	`conf`	Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas. IECON Muhammad Umair Danish, Madhushan Buwaneswaran, Tehara Fonseka, Katarina Grolinger
2024	J	`jnl`	Performance Analysis of Dilated One-to-Many U-Net Model for Medical Image Segmentation. IEEE Access Vahid Ashkani Chenarlogh, Arman Hassanpour, Katarina Grolinger, Vijay Parsa
2024	J	`jnl`	Remote collaborative framework for real-time structural condition assessment using Augmented Reality. Adv. Eng. Informatics Omar Awadallah, Katarina Grolinger, Ayan Sadhu
2024	C	`conf`	Temporally Chained Equations: An Interpretable Missing Data Imputation Approach for Smart Meters with Low Data Requirements. IECON Madhushan Buwaneswaran, Katarina Grolinger
2023	C	`conf`	Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. ICMLA Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger
2023	J	`jnl`	Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging. CoRR Raiden Skala, Mohamed Ahmed T. A. Elgalhud, Katarina Grolinger, Syed Mir
2023	J	`jnl`	Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing. Appl. Intell. Davoud Gholamiangonabadi, Katarina Grolinger
2023	C	`conf`	Scheduling Electric Vehicle Charging for Grid Load Balancing. IECON Zhixin Han, Katarina Grolinger, Miriam A. M. Capretz, Syed Mir
2022	—	`conf`	Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering. CCECE Fadi AlMahamid, Katarina Grolinger
2022	J	`jnl`	Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering. CoRR Fadi AlMahamid, Katarina Grolinger
2022	J	`jnl`	Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review. CoRR Fadi AlMahamid, Katarina Grolinger
2022	J	`jnl`	Autonomous Unmanned Aerial Vehicle navigation using Reinforcement Learning: A systematic review. Eng. Appl. Artif. Intell. Fadi AlMahamid, Katarina Grolinger
2022	—	`conf`	Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data. ICORR Sergio A. Salinas, Mohamed Ahmed T. A. Elgalhud, Luke Tambakis, Sanket Vilas Salunke, Kshitija Patel, Hamada H. Ghenniwa, Abdelkader Ouda, Kenneth A. McIsaac, Katarina Grolinger, Ana Luisa Trejos
2022	J	`jnl`	Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information. Sensors Kyle Dunphy, Mohammad Navid Fekri, Katarina Grolinger, Ayan Sadhu
2022	J	`jnl`	Deep learning for high-impedance fault detection and classification: transformer-CNN. Neural Comput. Appl. Khushwant Rai, Farnam Hojatpanah, Firouz Badrkhani Ajaei, Josep M. Guerrero, Katarina Grolinger
2022	—	`conf`	Malicious and Benign URL Dataset Generation Using Character-Level LSTM Models. DSC Spencer Vecile, Kyle Lacroix, Katarina Grolinger, Jagath Samarabandu
2022	J	`jnl`	Reinforcement Learning Algorithms: An Overview and Classification. CoRR Fadi AlMahamid, Katarina Grolinger
2022	—	`conf`	Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform. CCECE Fadi AlMahamid, Hanan Lutfiyya, Katarina Grolinger
2022	J	`jnl`	Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform. CoRR Fadi AlMahamid, Hanan Lutfiyya, Katarina Grolinger
2021	J	`jnl`	Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders. CoRR Khushwant Rai, Farnam Hojatpanah, Firouz Badrkhani Ajaei, Katarina Grolinger
2021	J	`jnl`	Edge-Cloud Computing for Internet of Things Data Analytics: Embedding Intelligence in the Edge With Deep Learning. IEEE Trans. Ind. Informatics Ananda Mohon Ghosh, Katarina Grolinger
2021	J	`jnl`	Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA. IEEE Access Rashpinder Kaur Jagait, Mohammad Navid Fekri, Katarina Grolinger, Syed Mir
2021	—	`conf`	Reinforcement Learning Algorithms: An Overview and Classification. CCECE Fadi AlMahamid, Katarina Grolinger
2020	J	`jnl`	Deep Learning for Load Forecasting: Sequence to Sequence Recurrent Neural Networks With Attention. IEEE Access Ljubisa Sehovac, Katarina Grolinger
2020	J	`jnl`	Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection. IEEE Access Davoud Gholamiangonabadi, Nikita Kiselov, Katarina Grolinger
2020	A	`conf`	ServeNet: A Deep Neural Network for Web Services Classification. ICWS Yilong Yang, Nafees Qamar, Peng Liu, Katarina Grolinger, Weiru Wang, Zhi Li, Zhifang Liao
2019	—	`conf`	Deep Learning: Edge-Cloud Data Analytics for IoT. CCECE Ananda Mohon Ghosh, Katarina Grolinger
2019	—	`conf`	Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach. ICIOT Ljubisa Sehovac, Cornelius Nesen, Katarina Grolinger
2019	J	`jnl`	Similarity-Based Chained Transfer Learning for Energy Forecasting With Big Data. IEEE Access Yifang Tian, Ljubisa Sehovac, Katarina Grolinger
2018	J	`jnl`	(CF)2 architecture: contextual collaborative filtering. Inf. Retr. J. Dennis Bachmann, Katarina Grolinger, Hany F. ElYamany, Wilson A. Higashino, Miriam A. M. Capretz, Majid Fekri, Bala Gopalakrishnan
2018	C	`conf`	Forecasting Residential Energy Consumption: Single Household Perspective. ICMLA Xiaoou Monica Zhang, Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald
2017	—	`conf`	A Gamification Framework for Sensor Data Analytics. ICIOT Alexandra L'Heureux, Katarina Grolinger, Wilson A. Higashino, Miriam A. M. Capretz
2017	—	`conf`	Deep Neural Networks with Confidence Sampling for Electrical Anomaly Detection. iThings/GreenCom/CPSCom/SmartData Norman L. Tasfi, Wilson A. Higashino, Katarina Grolinger, Miriam A. M. Capretz
2017	J	`jnl`	Machine Learning With Big Data: Challenges and Approaches. IEEE Access Alexandra L'Heureux, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz
2016	B	`conf`	Collective contextual anomaly detection framework for smart buildings. IJCNN Daniel B. Araya, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz, Girma T. Bitsuamlak
2016	—	`conf`	Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources. BigData Congress Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald
2015	C	`conf`	A Generalized Service Replication Process in Distributed Environments. CLOSER Hany F. El Yamany, Marwa F. Mohamed, Katarina Grolinger, Miriam A. M. Capretz
2015	J	`jnl`	Collaborative knowledge as a service applied to the disaster management domain. Int. J. Cloud Comput. Katarina Grolinger, Emna Mezghani, Miriam A. M. Capretz, Ernesto Exposito
2015	C	`conf`	MLaaS: Machine Learning as a Service. ICMLA Mauro Ribeiro, Katarina Grolinger, Miriam A. M. Capretz
2015	C	`conf`	Predicting Energy Demand Peak Using M5 Model Trees. ICMLA Sara S. Abdelkader, Katarina Grolinger, Miriam A. M. Capretz
2014	B	`conf`	Challenges for MapReduce in Big Data. SERVICES Katarina Grolinger, Michael A. Hayes, Wilson A. Higashino, Alexandra L'Heureux, David S. Allison, Miriam A. M. Capretz
2014	J	`jnl`	Integration of business process modeling and Web services: a survey. Serv. Oriented Comput. Appl. Katarina Grolinger, Miriam A. M. Capretz, Americo Cunha, Saïd Tazi
2013	J	`jnl`	Data management in cloud environments: NoSQL and NewSQL data stores. J. Cloud Comput. Katarina Grolinger, Wilson A. Higashino, Abhinav Tiwari, Miriam A. M. Capretz
2013	C	`conf`	Knowledge as a Service Framework for Disaster Data Management. WETICE Katarina Grolinger, Miriam A. M. Capretz, Emna Mezghani, Ernesto Exposito
2012	C	`conf`	Ontology-based Representation of Simulation Models. SEKE Katarina Grolinger, Miriam A. M. Capretz, José R. Martí, Krishan D. Srivastava
2011	J	`jnl`	A unit test approach for database schema evolution. Inf. Softw. Technol. Katarina Grolinger, Miriam A. M. Capretz
2011	—	`conf`	Data Providing Web Service-based integration framework for use in a health care context. CCECE Kevin P. Brown, Katarina Grolinger, Miriam A. M. Capretz
2011	—	`conf`	Federated critical infrastructure simulators: Towards ontologies for support of collaboration. CCECE Katarina Grolinger, Miriam A. M. Capretz, Adam Shypanski, Gagandeep S. Gill
2011	C	`conf`	From Glossaries to Ontologies: Disaster Management Domain(S). SEKE Katarina Grolinger, Kevin P. Brown, Miriam A. M. Capretz
1999	J	`jnl`	Autonomous agent based on reinforcement learning and adaptive shadowed network. Artif. Intell. Eng. Bojan Jerbic, Katarina Grolinger, Bozo Vranjs