Jens Lundström

According to our database, Jens Lundström authored at least 24 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction.

Reza Khoshkangini, Mohsen Tajgardan, Jens Lundström, Mahdi Rabbani, Daniel Tegnered

Sensors, 2023

Predicting Vehicle Behavior Using Multi-task Ensemble Learning.

Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Daniel Tegnered, Jens Lundström, Thorsteinn S. Rögnvaldsson

Expert Syst. Appl., 2023

Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease.

Jens Lundström, Atiye Sadat Hashemi, Prayag Tiwari

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Atiye Sadat Hashemi, Amira Soliman, Jens Lundström, Kobra Etminani

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Time-series Anonymization of Tabular Health Data using Generative Adversarial Network.

Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström

Proceedings of the International Joint Conference on Neural Networks, 2023

2020

Literature Review on Transfer Learning for Human Activity Recognition Using Mobile and Wearable Devices with Environmental Technology.

Netzahualcóyotl Hernández, Jens Lundström, Jesús Favela, Ian R. McChesney, Bert Arnrich

SN Comput. Sci., 2020

Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments.

Rebeen Ali Hamad, Masashi Kimura, Jens Lundström

SN Comput. Sci., 2020

Complementing real datasets with simulated data: a regression-based approach.

Miguel Angel Ortiz Barrios, Jens Lundström, Jonathan Synnott, Eric Järpe, Anita Pinheiro Sant'Anna

Multim. Tools Appl., 2020

2018

Ambient Assisted Living for Improvement of Health and Quality of Life - A Special Issue of the Journal of <i>Informatics</i>.

Shuai Zhang, Chris D. Nugent, Jens Lundström, Min Sheng

Informatics, 2018

Stability Analysis of the t-SNE Algorithm for Human Activity Pattern Data.

Rebeen Ali Hamad, Eric Järpe, Jens Lundström

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2016

A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace.

Susanna Spinsante, Alberto Angelici, Jens Lundström, Macarena Espinilla, Ian Cleland, Chris D. Nugent

Mob. Inf. Syst., 2016

Detecting and exploring deviating behaviour of smart home residents.

Jens Lundström, Eric Järpe, Antanas Verikas

Expert Syst. Appl., 2016

Improving the Quality of User Generated Data Sets for Activity Recognition.

Chris D. Nugent, Jonathan Synnott, Celeste Gabrielli, Shuai Zhang, Macarena Espinilla, Alberto Calzada, Jens Lundström, Ian Cleland, Kåre Synnes, Josef Hallberg, Susanna Spinsante, Miguel Angel Ortiz Barrios

Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Environment Simulation for the Promotion of the Open Data Initiative.

Jonathan Synnott, Chris D. Nugent, Shuai Zhang, Alberto Calzada, Ian Cleland, Macarena Espinilla, Javier Medina Quero, Jens Lundström

Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Center for Applied Intelligent Systems Research (Position paper).

Thorsteinn S. Rögnvaldsson, Antanas Verikas, Josef Bigün, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Björn Åstrand, Jens Lundström, Stefan Byttner, Roland Thörner, Fernando Alonso-Fernandez, Martin Cooney, Rafael Valencia

Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016

An initiative for the creation of open datasets within pervasive healthcare.

Chris D. Nugent, Ian Cleland, Anita Pinheiro Sant'Anna, Macarena Espinilla, Jonathan Synnott, Oresti Banos, Jens Lundström, Josef Hallberg, Alberto Calzada

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Halmstad Intelligent Home - Capabilities and Opportunities.

Jens Lundström, Wagner Ourique de Morais, Maria Menezes, Celeste Gabrielli, João Bentes, Anita Pinheiro Sant'Anna, Jonathan Synnott, Chris D. Nugent

Proceedings of the Internet of Things Technologies for HealthCare, 2016

2015

Smart home simulation using avatar control and probabilistic sampling.

Jens Lundström, Jonathan Synnott, Eric Järpe, Chris D. Nugent

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

A holistic smart home demonstrator for anomaly detection and response.

Jens Lundström, Wagner Ourique de Morais, Martin Cooney

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

2014

Active In-Database Processing to Support Ambient Assisted Living Systems.

Wagner Ourique de Morais, Jens Lundström, Nicholas Wickström

Sensors, 2014

2013

Assessing print quality by machine in offset colour printing.

Jens Lundström, Antanas Verikas

Knowl. Based Syst., 2013

A Database-Centric Architecture for Home-Based Health Monitoring.

Wagner Ourique de Morais, Jens Lundström, Nicholas Wickström

Proceedings of the Ambient Assisted Living and Active Aging, 2013

2011

Advances in computational intelligence-based print quality assessment and control in offset colour printing.

Antanas Verikas, Jens Lundström, Marija Bacauskiene, Adas Gelzinis

Expert Syst. Appl., 2011

2010

Detecting halftone dots for offset print quality assessment using soft computing.

Jens Lundström, Antanas Verikas

Proceedings of the FUZZ-IEEE 2010, 2010