Results 21 to 30 of about 111,551 (360)
PLoS ONE, 2020 One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Class imbalance happens where an instance in the class of interest is relatively low, when compared to the rest of the data.
Kevin Teh +4 more
doaj +1 more source
Multiscale-Spectral GFEM and optimal oversampling [PDF]
Computer Methods in Applied Mechanics and Engineering, 2020 In this work we address the Multiscale Spectral Generalized Finite Element Method (MS-GFEM) developed in [I. Babu ka and R. Lipton, Multiscale Modeling and Simulation 9 (2011), pp. 373--406]. We outline the numerical implementation of this method and present simulations that demonstrate contrast independent exponential convergence of MS-GFEM solutions.
Babuška, Ivo +3 more
openaire +3 more sources
Non-integer-oversampling digital signal processing for coherent passive optical networks [PDF]
Journal of Optical Communications and Networking, 2023 Beyond 100G passive optical networks (PONs) will be required to meet the ever-increasing traffic demand in the future. Coherent optical technologies are the competitive solutions for the future beyond 100G PON but also face challenges such as the high ...
Haide Wang +7 more
semanticscholar +1 more source
Oversampled filter banks [PDF]
IEEE Transactions on Signal Processing, 1998 Perfect reconstruction oversampled filter banks are equivalent to a particular class of frames in l/sup 2/(Z). These frames are the subject of this paper. First, the necessary and sufficient conditions of a filter bank for implementing a frame or a tight frame expansion are established, as well as a necessary and sufficient condition for perfect ...
Cvetkovic, Z, Vetterli, M
openaire +1 more source
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction [PDF]
Journal of Big DataCybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activities.
Md. Alamin Talukder +6 more
semanticscholar +1 more source
Oversampling of wavelet frames for real dilations [PDF]
, 2012 We generalize the Second Oversampling Theorem for wavelet frames and dual wavelet frames from the setting of integer dilations to real dilations. We also study the relationship between dilation matrix oversampling of semi-orthogonal Parseval wavelet ...
Bownik, Marcin, Lemvig, Jakob
core +3 more sources
Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
Cluster Computing, 2023 Software defects are a critical issue in software development that can lead to system failures and cause significant financial losses. Predicting software defects is a vital aspect of ensuring software quality.
N. A. A. Khleel, K. Nehéz
semanticscholar +1 more source
Handling oversampling in dynamic networks using link prediction [PDF]
, 2015 Oversampling is a common characteristic of data representing dynamic networks. It introduces noise into representations of dynamic networks, but there has been little work so far to compensate for it. Oversampling can affect the quality of many important
A-L Barabási +10 more
core +1 more source
A Hybrid GAN-Based Approach to Solve Imbalanced Data Problem in Recommendation Systems
IEEE Access, 2022 With the advent of information technology, the amount of online data generation has been massive. Recommendation systems have become an effective tool in filtering information and solving the problem of information overload.
Wafa Shafqat, Yung-Cheol Byun
doaj +1 more source
Frontiers in Materials, 2022 Digital twins in the mechanics of materials usually involve multimodal data in the sense that an instance of a mechanical component has both experimental and simulated data.
Axel Aublet +4 more
doaj +1 more source