Detecting halftone dots for offset print quality assessment using soft computing. - Jens Lundström; Antanas Verikas (FUZZ-IEEE, 2010)

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)

A Database-Centric Architecture for Home-Based Health Monitoring. - Wagner Ourique de Morais; Jens Lundström; Nicholas Wickström (IWAAL, 2013)

Assessing print quality by machine in offset colour printing. - Jens Lundström; Antanas Verikas (Knowl. Based Syst., 2013)

Active In-Database Processing to Support Ambient Assisted Living Systems. - Wagner Ourique de Morais; Jens Lundström; Nicholas Wickström (Sensors, 2014)

A holistic smart home demonstrator for anomaly detection and response. - Jens Lundström; Wagner Ourique de Morais; Martin Cooney (PerCom Workshops, 2015)

Smart home simulation using avatar control and probabilistic sampling. - Jens Lundström; Jonathan Synnott; Eric Järpe; Chris D. Nugent (PerCom Workshops, 2015)

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 (HealthyIoT, 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 (PervasiveHealth, 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 (SAIS, 2016)

Environment Simulation for the Promotion of the Open Data Initiative. - Jonathan Synnott; Chris D. Nugent; Shuai Zhang 001; Alberto Calzada; Ian Cleland; Macarena Espinilla; Javier Medina Quero; Jens Lundström (SMARTCOMP, 2016)

Improving the Quality of User Generated Data Sets for Activity Recognition. - Chris D. Nugent; Jonathan Synnott; Celeste Gabrielli; Shuai Zhang 001; Macarena Espinilla; Alberto Calzada; Jens Lundström; Ian Cleland; Kåre Synnes; Josef Hallberg; Susanna Spinsante; Miguel Angel Ortiz Barrios (UCAmI (2), 2016)

Detecting and exploring deviating behaviour of smart home residents. - Jens Lundström; Eric Järpe; Antanas Verikas (Expert Syst. Appl., 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)

Stability Analysis of the t-SNE Algorithm for Human Activity Pattern Data. - Rebeen Ali Hamad; Eric Järpe; Jens Lundström (SMC, 2018)

Ambient Assisted Living for Improvement of Health and Quality of Life - A Special Issue of the Journal of Informatics. - Shuai Zhang 001; Chris D. Nugent; Jens Lundström; Min Sheng (Informatics, 2018)

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)

Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments. - Rebeen Ali Hamad; Masashi Kimura; Jens Lundström (SN Comput. Sci., 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)

Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. - Atiye Sadat Hashemi; Kobra Etminani; Amira Soliman 002; Omar Hamed; Jens Lundström (IJCNN, 2023)

Domain Knowledge-Driven Generation of Synthetic Healthcare Data. - Atiye Sadat Hashemi; Amira Soliman 002; Jens Lundström; Kobra Etminani (MIE, 2023)

Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease. - Jens Lundström; Atiye Sadat Hashemi; Prayag Tiwari (MIE, 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)

A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction. - Reza Khoshkangini; Mohsen Tajgardan; Jens Lundström; Mahdi Rabbani; Daniel Tegnered (Sensors, 2023)

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. - Guojun Liang; Najmeh Abiri; Atiye Sadat Hashemi; Jens Lundström; Stefan Byttner; Prayag Tiwari (ICASSP, 2025)

Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. - Rikard Vinge; Stefan Byttner; Jens Lundström (IDA, 2025)