Results 111 to 120 of about 224,004 (328)
Forecasting cyberattacks with incomplete, imbalanced, and insignificant data
Cybersecurity, 2018 Having the ability to forecast cyberattacks before they happen will unquestionably change the landscape of cyber warfare and cyber crime. This work predicts specific types of attacks on a potential victim network before the actual malicious actions take ...
Ahmet Okutan +3 more
doaj +1 more source
Exploiting Synthetically Generated Data with Semi-Supervised Learning\n for Small and Imbalanced Datasets [PDF]
, 2019 María Pérez‐Ortiz +3 more
openalex +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Comparison of Sampling Techniques for Imbalanced Data Classification
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2018 Imbalanced data is a problem in the machine learning process for data classification, which results in low classification efficiency. It has also been found that random sampling techniques are used in several ways for solving low performance problems due
Karn Nasritha +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen +14 more
wiley +1 more source
Shape Penalized Decision Forests for Imbalanced Data Classification
IEEE AccessClass imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set.
Rahul Goswami +4 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective Mycophenolate Mofetil (MMF) use in limited cutaneous systemic sclerosis (lcSSc) is relatively uncommon due to the lower fibrotic burden and the predominance of the vascular complications. In vitro observations and clinical data from transplanted patients suggest a protective effect of MMF on endothelial function.
Enrico De Lorenzis +77 more
wiley +1 more source
An empirical evaluation of imbalanced data strategies from a practitioner's point of view
, 2018 This research tested the following well known strategies to deal with binary imbalanced data on 82 different real life data sets (sampled to imbalance rates of 5%, 3%, 1%, and 0.1%): class weight, SMOTE, Underbagging, and a baseline (just the base ...
Franceschinell, Rodrigo A. +1 more
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