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The Decomposition of Human-Written Book Summaries

Description: In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
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open access

Deep learning for peptide identification from metaproteomics datasets

Description: This article explores a proposed deep-learning-based algorithm called DeepFilter for improving peptide identifications from a collection of tandem mass spectra. The authors find that DeepFilter is believed to generalize properly to new, previously unseen peptide-spectrum-matches and can be readily applied in peptide identification from metaproteomics data.
Date: July 8, 2021
Creator: Feng, Shichao; Sterzenbach, Ryan & Guo, Xuan
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open access

Detecting Negation Cues and Scopes in Spanish

Description: Article addresses the processing of negation in Spanish by presenting a machine learning system that processes negation in Spanish and providing a qualitative error analysis aimed at understanding the limitations of the system and showing which negation cues and scopes are straightforward to predict automatically, and which ones are challenging.
Date: May 2020
Creator: Blanco, Eduardo; Jiménez-Zafra, Salud María; Morante, Roser; Martín-Valdivia, María Teresa & Ureña-López, L. Alfonso
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open access

Detection of DDoS Attack in Software-Defined Networking Environment and Its Protocol-wise Analysis using Machine Learning

Description: Article describes how distributed-denial-of-service (DDoS) attacks can cause a great menace to numerous organizations and their stakeholders. The authors assert that the objective of this research work is to take into account a DDoS afflicted SDN specific dataset and detect the malicious traffic by using various machine learning algorithms namely., K-Nearest Neighbours, Logistic Regression, Multilayer Perceptron, Iterative Dichotomiser 3, and Stochastic Gradient Descent.
Date: January 10, 2022
Creator: Prasad, Ashwani; Prasad, Sanjana; Arockiasamy, Karmel; P, Karthika & Yuan, Xiaohui
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open access

Detection of Parkinson's Disease Through Automated Pupil Tracking of the Post-illumination Pupillary Response

Description: This article describes a system for pupil size estimation with a user interface to allow rapid adjustment of parameters and extraction of pupil parameters of interest in order to identify Parkinson's disease (PD) as early as possible.
Date: March 25, 2021
Creator: Tabashum, Thasina; Zaffer, Adnaan; Yousefzai, Raman; Colletta, Kalea; Jost, Mary Beth; Park, Youngsook et al.
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open access

Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features

Description: Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Date: September 9, 2022
Creator: Daghriri, Talal; Rustam, Furqan; Aljedaani, Wajdi; Bashiri, Abdullateef H. & Ashraf, Imran
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