On Risk Assessment for Out-of-Distribution Detection by Anton Vasiliuk

“…First, we show that OOD performance depends on both the rate of outliers and the number of samples processed by a machine learning (ML) model. …”
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A network intrusion detection method designed for few-shot scenarios by Weichen HU, Congyuan XU, Yong ZHAN, Guanghui CHEN, Siqing LIU, Zhiqiang WANG, Xiaolin WANG

“…Existing intrusion detection techniques often require numerous malicious samples for model training.However, in real-world scenarios, only a small number of intrusion traffic samples can be obtained, which belong to few-shot scenarios.To address this challenge, a network intrusion detection method designed for few-shot scenarios was proposed.The method comprised two main parts: a packet sampling module and a meta-learning module.The packet sampling module was used for filtering, segmenting, and recombining raw network data, while the meta-learning module was used for feature extraction and result classification.Experimental results based on three few-shot datasets constructed from real network traffic data sources show that the method exhibits good applicability and fast convergence and effectively reduces the occurrence of outliers.In the case of 10 training samples, the maximum achievable detection rate is 99.29%, while the accuracy rate can reach a maximum of 97.93%.These findings demonstrate a noticeable improvement of 0.12% and 0.37% respectively, in comparison to existing algorithms.…”
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Examination of Health Literacy Levels of Pre-Service Teachers by Didem Kilic, Guntay Tasci, Bahattin Deniz Altunoglu

“…In the analysis of the data parametric tests were used, since there were no outliers, and the normality assumptions were met. The results show that two-thirds (68%) of the research group have inadequate and limited health literacy. …”
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Automatic recognition of pulse repetition interval modulation using temporal convolutional network by Abolfazl Dadgarnia, Mohammad Taghi Sadeghi

“…The method also works effectively in the presence of unintentional jitter and large outliers, which can be due to radar antenna scan. The experimental results on real data confirm that the proposed method performs accurately and effectively in real world scenarios.…”
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Double extreme-cum-median ranked set sampling. by Muhammad Zubair, Seyab Yasin, Afrah Al-Bossly, Asad Ali, Fathia Moh Al Samman, Mohammed M A Almazah, Kanwal Iqbal

“…Extreme-cum-median ranked set sampling has been developed to address the problem of heterogeneity and outliers / extreme values. Double ranked set sampling has been suggested to obtain more reliable samples using the concept of degree of distinguishability. …”
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Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity. by Andrew J Grant, Dipender Gill, Paul D W Kirk, Stephen Burgess

“…The method is based on a mixture model approach for directional clustering and includes a noise cluster that provides robustness to outliers. The procedure performs well across a range of simulation scenarios. …”
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Impact of Mesoscale Motions on Monin-Obukhov Similarity and Surface Energy Balance over a Homogeneous Surface by Yang Guo, Hongchao Zuo

“…Two conclusions are obtained: (1) When mesoscale motions are excluded, the scatter of similarity relations is evidently reduced; the observed values of the dimensionless velocity gradient and dimensionless temperature gradient in stable conditions become less than the values estimated using the universal functions, and the flux-variance relationship for temperature clearly deviates from the −1/3 power law. (2) When mesoscale motions are excluded, the number of energy balance closure outliers at night is dramatically reduced, and the energy balance ratio (EBR) is increased. …”
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The Foundations of Probability with Black Swans by Graciela Chichilnisky

“…Such events are generally treated as ‘‘outliers’’ and disregarded. We propose a new axiomatization of probability requiring equal treatment in the measurement of rare and frequent events—the Swan Axiom—and characterize the subjective probabilities that the axioms imply: these are neither finitely additive nor countably additive but a combination of both. …”
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Time Series Symbolization Method for the Data Mining K-Means Algorithm by Guisheng Wang

“…After dimensionality reduction, the information retention rate contained in the elevation of the sequence can reach more than 90%, which is very effective for the detection of outliers in low-dimensional sequences.…”
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Research on VoNR voice wireless optimization strategy by Xinchao ZANG, Ronglin LI

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La société multiculturelle selon Jürgen Habermas (II) by Denis Goeldel

“…He turns away from the “ethno-centric view”, according to which, there is a late or delayed appropriation of the “Lumières” among non-Western cultures compared to the West. …”
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Perte et lutte pour la biodiversité : perceptions et débats contradictoires by Abdourahmane Mbade Séné

“…Face à l’avancée des connaissances scientifiques et aux enjeux de développement de plus en plus opposés entre le Nord détenteur des technologies et des industries et le Sud détenteur des ressources naturelles biologiques se pose le problème de la perception sur les causes de perte de la biodiversité mais également des solutions envisageables pour lutter contre le fléau. Cette recherche s’intéresse donc à ces questions et place au cœur de l’analyse de la problématique de la perte de biodiversité et des solutions adoptées, les questions de justice, d’éthique et d’équité environnementales.…”
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Carolingian Traditions and New Beginnings : The Coronation of Rudolph I of Upper Burgundy by Andrea Hauff

“…L’attention se focalise d’abord sur les origines de Rodolphe Ier et de sa famille, avant de porter un regard sur les sources narratives témoignant du couronnement de Rodolphe Ier en 888, en particulier, la chronique de Réginon de Prüm et les Annales Vedastini. Enfin, à la lumière de ces sources, l’article vise à réévaluer la question de l’accession de Rodolphe à la couronne de la Bourgogne transjurane.…”
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Marx après Kornai by Amartya Sen

“…Après 1956, ses travaux peuvent être examinés à la lumière des idées marxiennes, traitant notamment de l’équité, de la liberté et de la relation entre théorie et pratique. …”
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L’écriture de Maurice Renard, en tension entre extrapolation scientifique et figuration littéraire by Simon Bréan

“…This paper aims at showing how the writer of the “merveilleux-scientifique” gives life to his hypotheses, focusing on Le Docteur Lerne, Le Péril bleu, Les Mains d’Orlac, « L’Homme truqué », Un homme chez les microbes, and Le Maître de la lumière.…”
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Eugen Ionescu – între poezia lui G. Trakl şi expresia oximoronică by Aluniţa Cofan

“…Nous mettons le petit tome de poésie du très jeune Eugen Ionescu (âgé lors de la parution de cet écrit d’une vingtaine d’années) sous la loupe de l’analyse dans tous azimuts, en désirant mettre en lumière le spécifique du grotesque eugèneionescien. …”
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Éloge de l’inauthenticité: le dix-huitième siècle à l’écran, autour de 'Barry Lyndon' de Stanley Kubrick by Alexis Tadié

“…La recherche de l’authenticité de Kubrick définit une nouvelle esthétique dans la représentation des Lumières, plus ou moins bien comprise par les tenants du film de patrimoine. …”
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Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans by Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Jo V. Hajnal

“…We use a Bayesian method to estimate the true value of each biometric from a large number of measurements and probabilistically reject outliers. We performed a retrospective experiment on 1457 recordings (comprising 48 million frames) of 20-week ultrasound scans, estimated fetal biometrics in those scans and compared our estimates to real-time manual measurements. …”
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Multi-View Prototypical Transport for Unsupervised Domain Adaptation by Sunhyeok Lee, Dae-Shik Kim

“…Additionally, our framework incorporates a novel multi-view prototypical learning strategy that not only transfers domain-general representations, but also significantly enhances robustness against target domain outliers. Extensive experimental evaluations on various benchmark datasets demonstrate that our method outperforms existing state-of-the-art UDA approaches, confirming the effectiveness of our strategy in adapting to complex domain shifts.…”
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Total factor productivity and firm size in the German energy industry: evidence from a symbolic transfer entropy panel causality test by Claudiu Tiberiu Albulescu, Ahdi Noomen Ajmi, Serban Miclea, Lavinia- Maria Cernescu

“…This test overcomes the limitations of previous panel causality tests generated by the presence of outliers and structural breaks. We drew on a dataset of 535 German electricity and gas firms, analysing the period 2007–2015, and used different approaches to compute the TFP. …”
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