148 citations
- Saha Institute of Nuclear PhysicsIN14 papers
- University of RichmondUS10 papers
- Variable Energy Cyclotron CentreIN10 papers
- University of CincinnatiUS5 papers
- University of VirginiaUS4 papers
- Virginia TechUS4 papers
- CEA Paris-SaclayFR3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Florida State UniversityUS3 papers
- Thomas Jefferson National Accelerator FacilityUS3 papers
- University of MichiganUS3 papers
9 papers · 1 filter
Privacy Guarantees of BLE Contact Tracing: A Case Study on COVIDWISE
Salman Ahmed, Ya Xiao, Taejoong +5
Google and Apple jointly introduced a digital contact tracing technology and an API called "exposure notification," to help health organizations and governments with contact tracin…
On the combined effect of class imbalance and concept complexity in deep learning
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo +2
Structural concept complexity, class overlap, and data scarcity are some of the most important factors influencing the performance of classifiers under class imbalance conditions.…
An observable effect of spin inertia in slow magneto-dynamics: Increase of the switching error rates in nanoscale ferromagnets
Rahnuma Rahman, Supriyo Bandyopadhyay
The Landau-Lifshitz-Gilbert (LLG) equation, used to model magneto-dynamics in ferromagnets, tacitly assumes that the angular momentum associated with spin precession can relax inst…
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Łukasz Korycki, Bartosz Krawczyk
Modern machine learning systems need to be able to cope with constantly arriving and changing data. Two main areas of research dealing with such scenarios are continual learning an…
Extracting Adverse Drug Events from Clinical Notes
Darshini Mahendran, Bridget T. McInnes
Adverse drug events (ADEs) are unexpected incidents caused by the administration of a drug or medication. To identify and extract these events, we require information about not jus…
Concept Drift Detection from Multi-Class Imbalanced Data Streams
Łukasz Korycki, Bartosz Krawczyk
Continual learning from data streams is among the most important topics in contemporary machine learning. One of the biggest challenges in this domain lies in creating algorithms t…