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Vertical federated learning is a natural and elegant approach to integrate multi-view data vertically partitioned across devices (clients) while preserving their privacies. Apart from the model training, existing methods requires the…

Machine Learning · Computer Science 2024-09-09 Jiyuan Liu , Xinwang Liu , Siqi Wang , Xingchen Hu , Qing Liao , Xinhang Wan , Yi Zhang , Xin Lv , Kunlun He

We present an application, Superplot, for calculating and plotting statistical quantities relevant to parameter inference from a "chain" of samples drawn from a parameter space, produced by e.g. MultiNest. A simple graphical interface…

Data Analysis, Statistics and Probability · Physics 2016-12-06 Andrew Fowlie , Michael Hugh Bardsley

This paper presents GraphFederator, a novel approach to construct joint representations of multi-party graphs and supports privacy-preserving visual analysis of graphs. Inspired by the concept of federated learning, we reformulate the…

Human-Computer Interaction · Computer Science 2020-08-28 Dongming Han , Wei Chen , Rusheng Pan , Yijing Liu , Jiehui Zhou , Ying Xu , Tianye Zhang , Changjie Fan , Jianrong Tao , Xiaolong , Zhang

Proportional fair scheduling (PFS) has been adopted as a standard solution for fair resource allocation in modern wireless cellular networks. With the emergence of heterogeneous networks with widely varying user loads, it is of great…

Information Theory · Computer Science 2017-01-23 Fei Liu , Janne Riihijärvi , Marina Petrova

There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse…

The Simulation Environment for Atomistic and Molecular Modeling (SEAMM) is an open-source software package written in Python that provides a graphical interface for setting up, executing, and analyzing molecular and materials simulations.…

Recent advances in distance-based protein folding have led to a paradigm shift in protein structure prediction. Through sufficiently precise estimation of the inter-residue distance matrix for a protein sequence, it is now feasible to…

Biomolecules · Quantitative Biology 2021-01-27 Andrew McGehee , Sutanu Bhattacharya , Rahmatullah Roche , Debswapna Bhattacharya

Proximity Distribution Kernel is an effective method for bag-of-featues based image representation. In this paper, we investigate the soft assignment of visual words to image features for proximity distribution. Visual word contribution…

Computer Vision and Pattern Recognition · Computer Science 2014-06-03 Quanquan Wang , Yongping Li

Interactive visualization of the basin of attraction field, the ``ibaf-graph'', is a new feature in DDLab with the same interactive functions as the ``network-graph'' and ``jump-graph''. These functions allow any node and its connected…

Cellular Automata and Lattice Gases · Physics 2025-06-13 Andrew Wuensche

Web Usage Mining is an application of Data Mining Techniques to discover interesting usage patterns from web data in order to understand and better serve the needs of web-based applications. The paper proposes an algorithm for finding these…

Artificial Intelligence · Computer Science 2018-05-01 Pritish Yuvraj , Suneetha K. R

Research in transportation frequently involve modelling and predicting attributes of events that occur at regular intervals. The event could be arrival of a bus at a bus stop, the volume of a traffic at a particular point, the demand at a…

Machine Learning · Computer Science 2015-08-14 Narayanan U. Edakunni , Aditi Raghunathan , Abhishek Tripathi , John Handley , Fredric Roulland

In this paper, we introduce GraphSecure, a web application that provides advanced analysis and visualisation of security scanning results. GraphSecure enables users to initiate scans for their AWS account, validate them against specific…

Grid computing is a distributed computing paradigm which aims to aggregate several heterogeneous and distributed resources, belonging to different and independent organizations, in a dynamic, transparent and coordinated way. Since its…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-27 Cosimo Anglano , Massimo Canonico , Marco Guazzone

The Visual Physics Analysis (VISPA) project defines a toolbox for accessing software via the web. It is based on latest web technologies and provides a powerful extension mechanism that enables to interface a wide range of applications.…

This paper presents a web application for visualizing the tonality of a piece of music -- the organization of its chords and scales -- at a high level of abstraction and with coordinated playback. The application applies the discrete…

Sound · Computer Science 2022-03-25 Daniel Harasim , Giovanni Affatato , Fabian C. Moss

With an increasing outreach of digital platforms in our lives, researchers have taken a keen interest to study different facets of social interactions that seem to be evolving rapidly. Analysing the spread of information (aka diffusion) has…

Social and Information Networks · Computer Science 2022-08-23 Dhruv Sahnan , Vasu Goel , Sarah Masud , Chhavi Jain , Vikram Goyal , Tanmoy Chakraborty

This paper introduces and demonstrates a computational pipeline for the statistical analysis of shape graph datasets, namely geometric networks embedded in 2D or 3D spaces. Unlike traditional abstract graphs, our purpose is not only to…

Machine Learning · Computer Science 2026-02-19 Murad Hossen , Demetrio Labate , Nicolas Charon

The Physical Web is a generic term describes interconnection of physical objects and web. The Physical Web lets present physical objects in a web. There are different ways to do that and we will discuss them in our paper. Usually, the web…

Computers and Society · Computer Science 2016-02-03 Manfred Sneps-Sneppe , Dmitry Namiot

The freud Python package is a powerful library for analyzing simulation data. Written with modern simulation and data analysis workflows in mind, freud provides a Python interface to fast, parallelized C++ routines that run efficiently on…

This paper proposes an affinity fusion graph framework to effectively connect different graphs with highly discriminating power and nonlinearity for natural image segmentation. The proposed framework combines adjacency-graphs and kernel…

Computer Vision and Pattern Recognition · Computer Science 2021-01-18 Yang Zhang , Moyun Liu , Jingwu He , Fei Pan , Yanwen Guo
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