Personal vid Högskolan
Jens Lundström
Universitetslektor
( Akademin för informationsteknologi )
Arbetar med
Mina arbetsuppgifter inkluderar forskning, ledarskap och undervisning inom området Machine Learning (ML) och AI. Specifikt är jag intresserad av tillämpad och teoretisk ML-forskning för att förbättra sjukvård, patientupplevelse och livskvalitet.
Några speciella arbetsuppgifter jag har: Forskningsområdesledare för AI i forskningsprofilen CAISR Health; Koordinator för Halmstad Professionals som är ett nätverk för individer som är intresserade av AI, dataanalys, cybersäkerhet, tjänstedesign och business intelligence.
Personlig
Senaste publikationer
Konferensbidrag
Conference paper
Deep Learning for Generating Synthetic Traffic Data
(2024)Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
(2023)Time-series Anonymization of Tabular Health Data using Generative Adversarial Network
(2023)Domain Knowledge-Driven Generation of Synthetic Healthcare Data
(2023)Stability analysis of the t-SNE algorithm for human activity pattern data
(2018)Smart medication organizer – one way to promote self-management and safety in drug administration in elderly people
(2017)Environment Simulation for the Promotion of the Open Data Initiative
(2016)Robustness of Deep Convolutional Neural Networks for Image Recognition
(2016)Halmstad intelligent home - Capabilities and opportunities
(2016)Improving the Quality of User Generated Data Sets for Activity Recognition
(2016)A Holistic Smart Home Demonstrator for Anomaly Detection and Response
(2015)Smart Home Simulation using Avatar Control and Probabilistic Sampling
(2015)Technology and trust : Social and technical innovation in elderly care
(2013)System for Assessing, Exploring and Monitoring Offset Print Quality
(2011)Detecting Halftone Dots for Offset Print Quality Assessment Using Soft Computing
(2010)
Artikel i tidskrift
Article in journal
Predicting Vehicle Behavior Using Multi-task Ensemble Learning
(2023) PublishedA Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction
(2023) PublishedEfficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments
(2020) PublishedA Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People : Protocol for a Mixed-Methods Study
(2019) PublishedAmbient Assisted Living for Improvement of Health and Quality of Life—A Special Issue of the Journal of Informatics
(2018) PublishedA Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace
(2016) PublishedDetecting and exploring deviating behaviour of smart home residents
(2016) PublishedActive In-Database Processing to Support Ambient Assisted Living Systems
(2014) PublishedAssessing, exploring, and monitoring quality of offset colour prints
(2013) PublishedAssessing print quality by machine in offset colour printing
(2013) PublishedAdvances in computational intelligence-based print quality assessment and control in offset colour printing
(2011) Published
Doktorsavhandling, sammanläggning
Doctoral thesis, comprehensive summary
Situation Awareness in Colour Printing and Beyond
(2014)
Kapitel i bok, del av antologi
Chapter in book
A Database-Centric Architecture for Home-Based Health Monitoring
(2013)
Manuskript (preprint)
Manuscript (preprint)
Detecting and exploring deviating behaviour of people in their own homes
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