Exploring Outliers in Crowdsourced Ranking for QoE
, 2017 Outlier detection is a crucial part of robust evaluation for crowdsourceable assessment of Quality of Experience (QoE) and has attracted much attention in recent years.
Barnett V. +7 more
core +1 more source
Augmented Intelligence for Clinical Discovery in Hypertensive Disorders of Pregnancy Using Outlier Analysis. [PDF]
Cureus, 2023 Janoudi G +8 more
europepmc +1 more source
Knowledge Reused Outlier Detection
IEEE Access, 2019 Tremendous efforts have been invested in the unsupervised outlier detection research, which is conducted on unlabeled data set with abnormality assumptions.
Weiren Yu +3 more
doaj +1 more source
Robust Linear Spectral Unmixing using Anomaly Detection
, 2015 This paper presents a Bayesian algorithm for linear spectral unmixing of hyperspectral images that accounts for anomalies present in the data. The model proposed assumes that the pixel reflectances are linear mixtures of unknown endmembers, corrupted by ...
Altmann, Yoann +2 more
core +1 more source
CHAOS: Chart Analysis with Outlier Samples
Charts play a critical role in data analysis and visualization, yet real-world applications often present charts with challenging or noisy features. However, "outlier charts" pose a substantial challenge even for Multimodal Large Language Models (MLLMs), which can struggle to interpret perturbed charts.
Moured, O +6 more
openaire +2 more sources
TDS Similarity: Outlier Analysis Using a Similarity Index to Compare Time-Series Responses of Temporal Dominance of Sensations Tasks. [PDF]
Foods, 2023 Natsume H, Okamoto S, Nagano H.
europepmc +1 more source
Isotope Ratio Outlier Analysis (IROA) for HPLC-TOFMS-Based Metabolomics of Human Urine. [PDF]
Metabolites, 2022 Fadil F +6 more
europepmc +1 more source
Testing the Keynesian Proposition of Twin Deficits in the Presence of Trade Liberalisation: Evidence from Sri Lanka after War: the case of a bridge too far? [PDF]
This paper examines the long-run and short-run relationships between the current account deficit, budget deficit, savings and investment gap and trade openness in Sri Lanka using the autoregressive distributive lagged (ARDL) approach.
Chowdhury, Khorshed, Saleh, Ali Salman
core
TM4SF4 and LRRK2 Are Potential Therapeutic Targets in Lung and Breast Cancers through Outlier Analysis. [PDF]
Cancer Res Treat, 2021 Jung K +15 more
europepmc +1 more source
Rainbow plots, Bagplots and Boxplots for Functional Data [PDF]
We propose new tools for visualizing large numbers of functional data in the form of smooth curves or surfaces. The proposed tools include functional versions of the bagplot and boxplot, and make use of the first two robust principal component scores ...
Han Lin Shang, Rob J. Hyndman
core