Results 51 to 60 of about 111,551 (360)
Journal of Big DataThe classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small number ...
Muhammad Mujahid +6 more
semanticscholar +1 more source
Upper Bound on the Capacity of Discrete-Time Wiener Phase Noise Channels [PDF]
, 2015 A discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. An upper bound to the capacity with an average input power constraint is derived, and a high signal-to-noise ratio (SNR) analysis is performed. If the
Barletta, Luca, Kramer, Gerhard
core +3 more sources
IEEE Access, 2018 In this paper, the fundamental problem for the full-duplex communication systems, i.e., self-interference cancellation (SIC), is investigated, and a novel digital-domain SIC method based on blind source separation is proposed. This method achieves SIC by
Hua Yang +3 more
doaj +1 more source
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling
IEEE Access, 2020 In this paper, we propose a new metric to measure goodness-of-fit for classifiers: the Real World Cost function. This metric factors in information about a real world problem, such as financial impact, that other measures like accuracy or F1 do not. This
Yaoshiang Ho, Samuel Wookey
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JOIV: International Journal on Informatics Visualization, 2023 SARS-CoV-2 is a virus that spreads the infection known as COVID-19, or Coronavirus 2019. According to data from the World Health Organization as of March 15, 2021, Indonesia has 1,419,455 cumulative cases and 38,426 cumulative deaths, ranking third among
Aisyah Khairun Nisa +2 more
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Journal of Big DataBackground There is currently no consensus on the impact of class imbalance methods on the performance of clinical prediction models. We aimed to empirically investigate the impact of random oversampling and random undersampling, two commonly used class ...
C. Yang +4 more
semanticscholar +1 more source
Capacity Outer Bound and Degrees of Freedom of Wiener Phase Noise Channels with Oversampling
, 2017 The discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. A novel outer bound on the capacity with an average input power constraint is derived as a function of the oversampling factor. This outer bound
Barletta, Luca, Rini, Stefano
core +1 more source
Correlative coding with clipping and filtering technique in OFDM Systems [PDF]
, 2003 The major setbacks of Orthogonal Frequency Multiplexing (OFDM) is its peak-to-average power ratio (PAPR) and intercarrier interference (ICI). The occurrence of these factors restricts its application.
Fisal, Norsheila, Yusof, S. K.
core +1 more source
Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques
Applied Artificial IntelligenceThe rise of social media has amplified online sharing, necessitating businesses to comprehend public sentiment. Traditional sentiment analysis struggles with sarcasm detection and class imbalance.
Ya-Han Hu +3 more
doaj +1 more source
Precision packet-based frequency transfer based on oversampling [PDF]
, 2017 Frequency synchronization of a distributed measurement system requires the transfer of an accurate frequency reference to all nodes. The use of a general-purpose packet-based network for this aim is analyzed in this paper, where oversampling is ...
Giorgi, Giada, Narduzzi, Claudio
core +1 more source