Pasi Liljeberg

Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study (2023)

Sexual & Reproductive Healthcare

Niela-Vilen Hannakaisa, Ekholm Eeva, Sarhaddi Fatemeh, Azimi Iman, Rahmani Amir M, Liljeberg Pasi, Pasanen Miko, Axelin Anna

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Personalized and adaptive neural networks for pain detection from multi-modal physiological features (2023)

Expert Systems with Applications

Jiang Mingzhe, Rosio Riitta, Salanterä Sanna, Rahmani Amir M., Liljeberg Pasi, da Silva Daniel S., de Albuquerque Victor Hugo C., Wu Wanging

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality (2023)

Gröhn Tommi, Liikkanen Sammeli, Huttunen Teppo, Mäkinen Mika, Liljeberg Pasi, Marttinen Pekka

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

IEEE Embedded Systems Letters

Alikhani Hamidreza, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)

Smart Health

Feli Mohammad, Azimi Iman, Anzanpour Arman, Rahmani Amir M., Liljeberg Pasi

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study (2023)

JMIR Formative Research

Sarhaddi Fatemeh, Azimi Iman, Niela-Vilen Hannakaisa, Axelin Anna, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring (2023)

Symposium on Applied Computing

Wang Yuning, Azimi Iman, Feli Mohammad, Rahmani Amir M., Liljeberg Pasi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)

IEEE Transactions on Computers

Shamsa Elham, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks (2022)

Sensors

Kazemi Kianoosh, Laitala Juho, Azimi Iman, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study (2023)

Personalized and adaptive neural networks for pain detection from multi-modal physiological features (2023)

Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality (2023)

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment (2023)

Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study (2023)

Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring (2023)

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks (2022)