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This paper aims to explore the structure of pattern behind covid-19 dataset. The dataset includes medical images with positive and negative cases. A sample of 100 sample is chosen, 50 per each class. An histogram frequency is calculated to…

Image and Video Processing · Electrical Eng. & Systems 2020-09-29 Josimar Chire , Esteban Wilfredo Vilca Zuniga

We introduce a new representation and feature extraction method for biological sequences. Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins (amino-acid sequences) and…

Quantitative Methods · Quantitative Biology 2016-05-30 Ehsaneddin Asgari , Mohammad R. K. Mofrad

Human brain anatomy and function display a combination of modular and hierarchical organization, suggesting the importance of both cohesive structures and variable resolutions in the facilitation of healthy cognitive processes. However,…

Neurons and Cognition · Quantitative Biology 2015-06-18 Christian Lohse , Danielle S. Bassett , Kelvin O. Lim , Jean M. Carlson

Many data analysis problems rely on dynamic networks, such as social or communication network analyses. Providing a scalable overview of long sequences of such dynamic networks remains challenging due to the underlying large-scale data…

Social and Information Networks · Computer Science 2022-08-26 Eren Cakmak , Johannes Fuchs , Dominik Jäckle , Tobias Schreck , Ulrik Brandes , Daniel Keim

Social Anxiety Disorder (SAD) is a widespread mental health condition, yet its lack of objective markers hinders timely detection and intervention. While previous research has focused on behavioral and non-verbal markers of SAD in…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Nilesh Kumar Sahu , Snehil Gupta , Haroon R Lone

Most cellular phenotypes are genetically complex. Identifying the set of genes that are most closely associated with a specific cellular state is still an open question in many cases. Here we study the transcriptional profile of cellular…

Quantitative Methods · Quantitative Biology 2024-06-21 Alda Sabalic , Victoria Moiseeva , Andres Cisneros , Oleg Deryagin , Eusebio Perdiguero , Pura Muñoz-Canoves , Jordi Garcia-Ojalvo

Psychological research often involves understanding psychological constructs through conducting factor analysis on data collected by a questionnaire, which can comprise hundreds of questions. Without interactive systems for interpreting…

Human-Computer Interaction · Computer Science 2024-08-06 Yikai Lu , Chaoli Wang

The process of manually searching for relevant instances in, and extracting information from, clinical databases underpin a multitude of clinical tasks. Such tasks include disease diagnosis, clinical trial recruitment, and continuing…

Signal Processing · Electrical Eng. & Systems 2021-10-05 Dani Kiyasseh , Tingting Zhu , David A. Clifton

Network visualization allows a quick glance at how nodes (or actors) are connected by edges (or ties). A conventional network diagram of "contact tree" maps out a root and branches that represent the structure of nodes and edges, often…

Social and Information Networks · Computer Science 2014-11-04 Arnaud Sallaberry , Yang-Chih Fu , Hwai-Chung Ho , Kwan-Liu Ma

Artificially intelligent perception is increasingly present in the lives of every one of us. Vehicles are no exception, (...) In the near future, pattern recognition will have an even stronger role in vehicles, as self-driving cars will…

Computer Vision and Pattern Recognition · Computer Science 2023-01-23 João Ribeiro Pinto

Wearable cameras capture a first-person view of the daily activities of the camera wearer, offering a visual diary of the user behaviour. Detection of the appearance of people the camera user interacts with for social interactions analysis…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Estefania Talavera , Alexandre Cola , Nicolai Petkov , Petia Radeva

Epidemiology characterizes the influence of causes to disease and health conditions of defined populations. Cohort studies are population-based studies involving usually large numbers of randomly selected individuals and comprising numerous…

Computer Vision and Pattern Recognition · Computer Science 2015-01-19 Bernhard Preim , Paul Klemm , Helwig Hauser , Katrin Hegenscheid , Steffen Oeltze , Klaus Toennies , Henry Völzke

Captions that describe or explain charts help improve recall and comprehension of the depicted data and provide a more accessible medium for people with visual disabilities. However, current approaches for automatically generating such…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Benny J. Tang , Angie Boggust , Arvind Satyanarayan

This paper is a brief report to our submission to the Recognizing Families In the Wild Data Challenge (4th Edition), in conjunction with FG 2020 Forum. Automatic kinship recognition has attracted many researchers' attention for its full…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Zhipeng Luo , Zhiguang Zhang , Zhenyu Xu , Lixuan Che

Visual representations of data (visualizations) are tools of great importance and widespread use in data analytics as they provide users visual insight to patterns in the observed data in a simple and effective way. However, since…

Databases · Computer Science 2018-11-05 Lorenzo De Stefani , Leonhard F. Spiegelberg , Tim Kraska , Eli Upfal

Prior work has shown that multibiometric systems are vulnerable to presentation attacks, assuming that their matching score distribution is identical to that of genuine users, without fabricating any fake trait. We have recently shown that…

Computer Vision and Pattern Recognition · Computer Science 2016-09-07 Battista Biggio , Giorgio Fumera , Gian Luca Marcialis , Fabio Roli

This paper highlights the rationale for the development of BioViz, a tool to help visualize the existence of collective user interactions in online life science communities. The first community studied has approximately 22,750 unique users…

Social and Information Networks · Computer Science 2012-04-17 Dhiraj Murthy , Alexander Gross , Stephanie Bond

Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define specific cell states. However, difficulties arise from the…

Human-Computer Interaction · Computer Science 2025-12-19 Rui Sheng , Zelin Zang , Jiachen Wang , Yan Luo , Zixin Chen , Yan Zhou , Shaolun Ruan , Huamin Qu

SafeAccess is an integrated system designed to provide easier and safer access to a smart home for people with or without disabilities. The system is designed to enhance safety and promote the independence of people with disability (i.e.,…

Computer Vision and Pattern Recognition · Computer Science 2019-04-22 Shahinur Alam , Mohammed Yeasin

In clinical trials, hypotheses are frequently organized into hierarchically ordered families, requiring specialized testing strategies that account for these structured relationships. Existing gatekeeping methods-including serial, parallel,…

Methodology · Statistics 2026-04-14 Zhiying Qiu , Li Yu , Wenge Guo