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2020 – today
- 2024
[j7]Jessica Rahman
, Aida Brankovic, Sankalp Khanna:
Machine learning model with output correction: Towards reliable bradycardia detection in neonates. Comput. Biol. Medicine 177: 108658 (2024)- [j6]Sazid Hasan, Ali Zamani, Aida Brankovic, Konstanty S. Bialkowski, Amin M. Abbosh:
Stroke Classification With Microwave Signals Using Explainable Wavelet Convolutional Neural Network. IEEE J. Biomed. Health Informatics 28(10): 5667-5675 (2024) - 2023
- [c5]Christina J. Lauw, Jessica Rahman, Aida Brankovic, Mark Tracy, Sankalp Khanna:
Development of an Interactive Dashboard to Analyse Physiological Signals in the Neonatal Intensive Care Unit. EMBC 2023: 1-4 - [c4]Jessica Rahman, Aida Brankovic, Mark Tracy, Robert Halliday, Sankalp Khanna:
Towards Accurate Search for Neonatal Heartbeat: Weighted Algorithm for Reliable ECG Analysis of Premature Infants. MedInfo 2023: 224-228 - [c3]Aida Brankovic, Wenjie Huang, David Cook, Sankalp Khanna, Konstanty Bialkowski:
Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR. MedInfo 2023: 865-869 - [i4]Aida Brankovic, David Cook, Jessica Rahman, Wenjie Huang, Sankalp Khanna:
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? CoRR abs/2306.11985 (2023) - [i3]Aida Brankovic, Wenjie Huang, David Cook, Sankalp Khanna, Konstanty Bialkowski:
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR. CoRR abs/2311.16654 (2023) - 2022
- [i2]Zlatan Ajanovic, Emina Alickovic, Aida Brankovic, Sead Delalic, Eldar Kurtic, Salem Malikic, Adnan Mehonic, Hamza Merzic, Kenan Sehic, Bahrudin Trbalic:
Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals. CoRR abs/2209.03990 (2022) - 2020
- [j5]Sasan Ahdi Rezaeieh, Aida Brankovic, Azin S. Janani, Beadaa J. Mohammed, Amin Darvazehban, Ali Zamani, Graeme A. Macdonald, Amin M. Abbosh:
Wearable Electromagnetic Belt for Steatotic Liver Detection Using Multivariate Energy Statistics. IEEE Access 8: 201847-201860 (2020) - [j4]Aida Brankovic, Ali Zamani, Adnan Trakic, Konstanty Bialkowski, Beadaa J. Mohammed, David Cook, James Walsham, Amin M. Abbosh:
Unsupervised Algorithm for Brain Anomalies Localization in Electromagnetic Imaging. IEEE Trans. Computational Imaging 6: 1595-1606 (2020)
2010 – 2019
- 2019
- [j3]Aida Brankovic, Luigi Piroddi:
A distributed feature selection scheme with partial information sharing. Mach. Learn. 108(11): 2009-2034 (2019) - [j2]Aida Brankovic, Marjan Hosseini, Luigi Piroddi:
A Distributed Feature Selection Algorithm Based on Distance Correlation with an Application to Microarrays. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1802-1815 (2019) - 2018
- [b1]Aida Brankovic:
Distributed randomized model selection for nonlinear identification and supervised machine learning. Polytechnic University of Milan, Italy, 2018 - [j1]Aida Brankovic, Alessandro Falsone, Maria Prandini, Luigi Piroddi:
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations. IEEE Trans. Cybern. 48(4): 1151-1162 (2018) - 2016
- [c2]Aida Brankovic, Jacopo Guanetti, Donald Selmanaj, Alberto Leva:
Applying simple PID tuning rules with extended frequency response knowledge. CDC 2016: 7573-7578 - [i1]Aida Brankovic, Alessandro Falsone, Maria Prandini, Luigi Piroddi:
Randomised Algorithm for Feature Selection and Classification. CoRR abs/1607.08400 (2016) - 2015
- [c1]Aida Brankovic, Daniele Berretta, Simone Formentin, Matteo Corno, Sergio M. Savaresi:
Modeling and speed limitation control of an electric kick scooter. ECC 2015: 697-702
Coauthor Index
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