121 citations
- University of ConnecticutUS4 papers
- Innaxis Foundation & Research InstituteES3 papers
- Korea Institute for Advanced StudyKR3 papers
- Laboratoire de Physique ThéoriqueFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- University College LondonGB3 papers
- Calico Life SciencesUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- City, University of LondonGB2 papers
- Deep Blue (Italy)IT2 papers
- Institut de Recherche sur les Systèmes Atomiques et Moléculaires ComplexesFR2 papers
- Laboratoire de Physique Théorique et Modèles StatistiquesFR2 papers
Showing cs.LGShow all
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cs.LG2025★ 5 cited
Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency
Leszek Sliwko
This research investigates how Machine Learning (ML) algorithms can assist in workload allocation strategies by detecting tasks with node affinity operators (referred to as constra…
cs.LG2022★ 121 cited
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse, Ishan Karunanayake, Nadeem Ahmed
Tiny Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal Microcont…
cs.LG2014
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
Drugs are frequently prescribed to patients with the aim of improving each patient's medical state, but an unfortunate consequence of most prescription drugs is the occurrence of u…