Katarina Grolinger

Orcid: 0000-0003-0062-8212

According to our database1, Katarina Grolinger authored at least 46 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images.
CoRR, 2024

Remote collaborative framework for real-time structural condition assessment using Augmented Reality.
Adv. Eng. Informatics, 2024

Federated Learning for Sentiment Analysis in Presence of Non-IID Data: Sensitivity of Deep Learning Models.
IEEE Access, 2024

Evaluating Mixed Reality Technology for Tracking Hand Motion for Shoulder Rehabilitation Assessment.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023
Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing.
Appl. Intell., March, 2023

Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging.
CoRR, 2023

Scheduling Electric Vehicle Charging for Grid Load Balancing.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Data Augmentation for Deep-Learning-Based Multiclass Structural Damage Detection Using Limited Information.
Sensors, 2022

Deep learning for high-impedance fault detection and classification: transformer-CNN.
Neural Comput. Appl., 2022

Autonomous Unmanned Aerial Vehicle navigation using Reinforcement Learning: A systematic review.
Eng. Appl. Artif. Intell., 2022

Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

Malicious and Benign URL Dataset Generation Using Character-Level LSTM Models.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021
Edge-Cloud Computing for Internet of Things Data Analytics: Embedding Intelligence in the Edge With Deep Learning.
IEEE Trans. Ind. Informatics, 2021

Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders.
CoRR, 2021

Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA.
IEEE Access, 2021

Reinforcement Learning Algorithms: An Overview and Classification.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020
Deep Learning for Load Forecasting: Sequence to Sequence Recurrent Neural Networks With Attention.
IEEE Access, 2020

Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection.
IEEE Access, 2020

ServeNet: A Deep Neural Network for Web Services Classification.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019
Similarity-Based Chained Transfer Learning for Energy Forecasting With Big Data.
IEEE Access, 2019

Forecasting Building Energy Consumption with Deep Learning: A Sequence to Sequence Approach.
Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

Deep Learning: Edge-Cloud Data Analytics for IoT.
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018
(CF)2 architecture: contextual collaborative filtering.
Inf. Retr. J., 2018

Forecasting Residential Energy Consumption: Single Household Perspective.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Machine Learning With Big Data: Challenges and Approaches.
IEEE Access, 2017

Deep Neural Networks with Confidence Sampling for Electrical Anomaly Detection.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

A Gamification Framework for Sensor Data Analytics.
Proceedings of the 2017 IEEE International Congress on Internet of Things, 2017

2016
Collective contextual anomaly detection framework for smart buildings.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
Collaborative knowledge as a service applied to the disaster management domain.
Int. J. Cloud Comput., 2015

MLaaS: Machine Learning as a Service.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Predicting Energy Demand Peak Using M5 Model Trees.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Generalized Service Replication Process in Distributed Environments.
Proceedings of the CLOSER 2015, 2015

2014
Integration of business process modeling and Web services: a survey.
Serv. Oriented Comput. Appl., 2014

Challenges for MapReduce in Big Data.
Proceedings of the 2014 IEEE World Congress on Services, 2014

2013
Data management in cloud environments: NoSQL and NewSQL data stores.
J. Cloud Comput., 2013

Knowledge as a Service Framework for Disaster Data Management.
Proceedings of the 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2013

2012
Ontology-based Representation of Simulation Models.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

2011
A unit test approach for database schema evolution.
Inf. Softw. Technol., 2011

From Glossaries to Ontologies: Disaster Management Domain(S).
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

Federated critical infrastructure simulators: Towards ontologies for support of collaboration.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Data Providing Web Service-based integration framework for use in a health care context.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

1999
Autonomous agent based on reinforcement learning and adaptive shadowed network.
Artif. Intell. Eng., 1999


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