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Saliency Deficit and Motion Outlier Detection in Animated Scatterplots

Rafael Veras, Christopher Collins
2019 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19  
ABSTRACT We report the results of a crowdsourced experiment that measured the accuracy of motion outlier detection in multivariate, animated scatterplots.  ...  The targets were outliers either in speed or direction of motion, and were presented with varying levels of saliency in dimensions that are irrelevant to the task of motion outlier detection (e.g., color  ...  We conclude that motion outlier detection is not well supported in multivariate animated scatterplots.  ... 
doi:10.1145/3290605.3300771 dblp:conf/chi/VerasC19 fatcat:hwe46y5p6ncxxaf5az3oaxcwj4


Tadashi NEMOTO, Itiro ANDO, Taeko KATAOKA, Kazunori ARIFUKU, Kenji KANAZAWA, Yasuhiro NATORI, Masako FUJIWARA
2007 Journal of Toxicological Sciences  
NMR metabolic profiling provides good guidance to evaluate biophysical conditions of animals, enabling detection of abnormalities in the early stage of toxicological experiments.  ...  Predominant urinary sugar signals were seen in 1 H-NMR spectra of diabetes rat urine, and spectra were processed and subjected to multivariate analysis.  ...  NMR-MP properly assessed the process of making model animals, enabling detection of two kinds of insufficient model animals in the early stages, reducing rearing cost.  ... 
doi:10.2131/jts.32.429 pmid:17965557 fatcat:d7wowxv6fvhjjnzogtk5pll3em

Batch statistical processing of1H NMR-derived urinary spectral data

H. Antti, M. E. Bollard, T. Ebbels, H. Keun, J. C. Lindon, J. K. Nicholson, E. Holmes
2002 Journal of Chemometrics  
multivariate statistical limits of normality in terms of biofluid composition.  ...  Multivariate statistical batch processing (BP) analysis of 1 H nuclear magnetic resonance (NMR) urine spectra was employed to establish time-dependent metabolic variations in animals treated with the model  ...  Consortium (COnsortium on MEtabonomic Toxicology, comprising Bristol-Myers Squibb, Hoffmann-La Roche, Lilly, Novo Nordisk, Pharmacia Corp. and Pfizer) for the generation of samples and participation in  ... 
doi:10.1002/cem.733 fatcat:dmscstknjvdktdji3rqttcbhqy

A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones

Matthew Brehmer, Bongshin Lee, Petra Isenberg, Eun Kyoung Choe
2019 IEEE Transactions on Visualization and Computer Graphics  
We compare the efficacy of animated and small multiples variants of scatterplots on mobile phones for comparing trends in multivariate datasets.  ...  In this paper, we build upon previous experimental research carried out on larger displays that assessed animated and non-animated variants of scatterplots.  ...  They also found that different visual channels affect outlier saliency to varying extents, and as a result it can be difficult to consistently detect them in animated scatterplots.  ... 
doi:10.1109/tvcg.2019.2934397 pmid:31425109 fatcat:5rtim3rhnzeflayl47fjptltzq

FuryExplorer: visual-interactive exploration of horse motion capture data

Nils Wilhelm, Anna Vögele, Rebeka Zsoldos, Theresia Licka, Björn Krüger, Jürgen Bernard, David L. Kao, Ming C. Hao, Mark A. Livingston, Thomas Wischgoll
2015 Visualization and Data Analysis 2015  
The analysis of equine motion has a long tradition in the past of mankind. Equine biomechanics aims at detecting characteristics of horses indicative of good performance.  ...  More recently, the incorporation of motion capture technology contributed to an easier and faster analysis, with a trend from mere observation of horses towards the analysis of multivariate time-oriented  ...  Finally, we would also like to detect possible outlier patterns.  ... 
doi:10.1117/12.2080001 dblp:conf/vda/WilhelmVZLKB15 fatcat:6st4w5p2ufdw7kykaq4otb2cva

Anomaly Detection in Trajectory Data with Normalizing Flows [article]

Madson L. D. Dias, César Lincoln C. Mattos, Ticiana L. C. da Silva, José Antônio F. de Macedo, Wellington C. P. Silva
2020 arXiv   pre-print
The task of detecting anomalous data patterns is as important in practical applications as challenging.  ...  We evaluate our methodology, named aggregated anomaly detection with normalizing flows (GRADINGS), using real world trajectory data and compare it with more traditional anomaly detection techniques.  ...  However, probabilistic density estimation approaches for trajectory anomaly detection usually consider simple distributions, such as a multivariate Gaussian [4] .  ... 
arXiv:2004.05958v1 fatcat:iqkv7auwpjebdc5lzkb2wasrfu

Outlier Detection and Comparison of Origin-Destination Flows Using Data Depth

Myeong-Hun Jeong, Junjun Yin, Shaowen Wang, Michael Wagner
2018 International Conference Geographic Information Science  
Advances in location-aware technology have resulted in massive trajectory data. Origin-destination (OD) trajectories provide rich information on urban flow and transport demand.  ...  This study describes a new method for detecting OD flows outliers and conducting hypothesis testing between two OD flow datasets in terms of the variations of spatial extent, that is, spread.  ...  Outlier detection aims to identify trajectories that do not follow the typical flows of trajectory that characterize the connectivity between regions [18] .  ... 
doi:10.4230/lipics.giscience.2018.6 dblp:conf/giscience/JeongYW18 fatcat:ek5wqvurcffstbftggoxz4iidq

Trajectory of Antidepressant Effects after Single- or Two-Dose Administration of Psilocybin: A Systematic Review and Multivariate Meta-Analysis

Chia-Ling Yu, Chih-Sung Liang, Fu-Chi Yang, Yu-Kang Tu, Chih-Wei Hsu, Andre F. Carvalho, Brendon Stubbs, Trevor Thompson, Chia-Kuang Tsai, Ta-Chuan Yeh, Szu-Nian Yang, Jae Il Shin (+3 others)
2022 Journal of Clinical Medicine  
Data were pooled using a multivariate random-effects meta-analysis. Primary outcomes were changes in depressive symptoms. Secondary outcomes were cardiovascular safety and acceptability.  ...  We examined the cardiovascular safety, acceptability, and trajectory of the antidepressant effects of psilocybin after single- or two-dose administration.  ...  In addition, this mechanism has been associated with antidepressant-like effects in animal models [8] .  ... 
doi:10.3390/jcm11040938 pmid:35207210 pmcid:PMC8879743 fatcat:zhyebynhvrcw5ft73hivhgdi7m

Multivariate Functional Outlier Detection using the FastMUOD Indices [article]

Oluwasegun Taiwo Ojo, Antonio Fernández Anta, Marc G. Genton, Rosa E. Lillo
2022 arXiv   pre-print
Some methods adapting FastMUOD to outlier detection in multivariate functional data are then proposed.  ...  We present definitions and properties of the fast massive unsupervised outlier detection (FastMUOD) indices, used for outlier detection (OD) in functional data.  ...  Introduction We consider the problem of detecting outliers in a collection of multivariate functional observations.  ... 
arXiv:2207.12803v1 fatcat:n7u2ifqpwvdbhbsyaodjby22me

Chemometric contributions to the evolution of metabonomics: mathematical solutions to characterising and interpreting complex biological NMR spectra

E. Holmes, H. Antti
2002 The Analyst  
Metabonomic technology, based on the multivariate analysis of complex biological profiles generated from spectroscopic instruments, has enabled the construction of successful expert systems for toxicity  ...  chemometric and bioinformatic methodologies to accommodate the multi-and megavariate data generated by high resolution NMR spectroscopy of biofluids, tissues and cell cultures and explore their potential role in  ...  Acknowledgements We are grateful to COMET (Consortium Of Metabonomic Technology; Bristol Myers-Squibb, Eli-Lilly, Pharmacia Corporation, Pfizer, Novo-Nordisk and Roche) for the provision of samples presented in  ... 
doi:10.1039/b208254n pmid:12537357 fatcat:iwwzightn5cbppbkmvkg56rjmq

Empirical Insights from a Study on Outlier Preserving Value Generalization in Animated Choropleth Maps

Christoph Traun, Manuela Larissa Schreyer, Gudrun Wallentin
2021 ISPRS International Journal of Geo-Information  
In this empirical research, we investigate the effect of local outlier preserving value generalization of animated choropleth maps on the ability to detect general trends and local deviations thereof.  ...  Comparing generalization in space, in time, and in a combination of both dimensions, value smoothing based on a first order spatial neighborhood facilitated the detection of local outliers best, followed  ...  main author likes to thank Wolfgang Trutschnig for his valuable discussion on the study design, the anonymous reviewers for their helpful inputs, and the voluntary participants for their kind engagement in  ... 
doi:10.3390/ijgi10040208 fatcat:2piwzqqeajgqvitx3o7kktva3m

Mapping the Host-Pathogen Space to Link Longitudinal and Cross-sectional Biomarker Data: Leptospira Infection in California Sea Lions (Zalophus californianus) as a Case Study [article]

Katherine C Prager, Michael G Buhnerkempe, Denise J Greig, Anthony J Orr, Eric D Jensen, Forrest Gomez, Renee L Galloway, Qingzhong Wu, Frances MD Gulland, James O Lloyd-Smith
2019 bioRxiv   pre-print
Remarkably, this trajectory also captures the broad patterns in larger cross-sectional datasets of 1456 wild sea lions in all states of health.  ...  We describe a clear, unidirectional trajectory of disease and recovery within this host-pathogen space.  ...  This suggests that outliers found on the map -mid-low antibody titer 372 with high renal index ( Fig 3C) -which, according to the host-pathogen trajectory described 373 in Fig 3A- This article is a  ... 
doi:10.1101/819532 fatcat:qzhwa7twmney3ni7wo6si3vtje

Visualising disease progression on multiple variables with vector plots and path plots

Stanley E Lazic, Sarah L Mason, Andrew W Michell, Roger A Barker
2009 BMC Medical Research Methodology  
In addition, summary statistics such as mean vectors, bivariate interquartile ranges and convex polygons can be included to assist in interpreting trajectories, comparing groups, and detecting multivariate  ...  outliers.  ...  These plots are useful for comparing groups on two or more variables, detecting multivariate outliers, and detecting subgroups of patients that have different disease trajectories.  ... 
doi:10.1186/1471-2288-9-32 pmid:19473528 pmcid:PMC2693505 fatcat:mqa4ochrgzcyrmneyh5gz54zza

Dynamic Multiscale Visualization of Flight Data

Tijmen R. Klein, Matthew van der Zwan, Alexandru Telea
2014 Proceedings of the 9th International Conference on Computer Vision Theory and Applications  
In contrast to previous methods, we are able to visualize significantly more information on a single screen, with limited clutter, and also create real-time animations of the data.  ...  The aims of our visualization are to provide a smooth way to explore the available information and find outlier spatio-temporal patterns by navigating between fine-scale, detail, views on the data and  ...  By next detecting outlier and/or mainstream patterns in such visualizations, users can focus on a subset of the data, and refine their understanding thereof.  ... 
doi:10.5220/0004685701040114 dblp:conf/visapp/KleinZT14 fatcat:bahmmssru5gs7joura3hmijmb4

Advancements of Outlier Detection: A Survey

Ji Zhang
2013 EAI Endorsed Transactions on Scalable Information Systems  
In this paper, we present a survey of outlier detection techniques to reflect the recent advancements in this field.  ...  Outlier detection is an important research problem in data mining that aims to discover useful abnormal and irregular patterns hidden in large datasets.  ...  Trajectory outliers can be point outliers if we consider each single trajectory as the basic data unit in the outlier detection.  ... 
doi:10.4108/trans.sis.2013.01-03.e2 fatcat:lbdz5pocs5fzjnrimhdb5sdray
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