Pardis Biglarbeigi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Machine Learning

Naive Bayes Classifier

Top Venues

Int. J. Data Sci. Anal.

Publications

Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar Finlay, Boon Leong Lan, James McLaughlin
Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification. CISS (2023)
Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin
Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review. Expert Syst. Appl. 234 (2023)
Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, Fiona Browne, David McEneaneny
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset. Int. J. Data Sci. Anal. 15 (1) (2023)
Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, David J. McEneaney
What can machines learn about heart failure? A systematic literature review. Int. J. Data Sci. Anal. 13 (3) (2022)
Scot Davidson, Niamh McCallan, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin
Seizure Classification Using Parallel Genetic Naive Bayes Classifiers. CoRR (2021)
Min Jing, Kok Yew Ng, Brian Mac Namee, Pardis Biglarbeigi, Rob Brisk, Raymond R. Bond, Dewar D. Finlay, James McLaughlin
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. J. Biomed. Informatics 122 (2021)
Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Patricia Campbell, David J. McEneaney
Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence? CinC (2021)
Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi, Dewar D. Finlay, Boon Leong Lan, James McLaughlin
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm. APSIPA ASC (2021)
Michael R. Jennings, Pardis Biglarbeigi, Raymond R. Bond, Rob Brisk, Daniel Güldenring, Alan Kennedy, James McLaughlin, Dewar D. Finlay
Machine Learning Approach to Assess the Performance of Patch Based Leads in the Detection of Ischaemic Electrocardiogram Changes. CinC (2020)
Michael R. Jennings, Ali S. Rababah, Pardis Biglarbeigi, Rob Brisk, Daniel Güldenring, Raymond R. Bond, James McLaughlin, Dewar D. Finlay
Coefficients for the Derivation of Posterior and Right Sided Chest Leads From the 12-lead Electrocardiogram. CinC (2020)
Pardis Biglarbeigi, Donal McLaughlin, Khaled Rjoob, Abdullah Abdullah, Niamh McCallan, Alicja Jasinska-Piadlo, Raymond R. Bond, Dewar D. Finlay, Mark Kok Yew Ng, Alan Kennedy, James McLaughlin
Early Prediction of Sepsis Considering Early Warning Scoring Systems. CinC (2019)
Niamh McCallan, Dewar D. Finlay, Pardis Biglarbeigi, Gilberto Perpiñan, Michael R. Jennings, Kok Yew Ng, James McLaughlin, Omar Escalona
Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques. CinC (2019)