Faculty

Institution

Unit

Venue

Ross Maciejewski

Director and Professor

Arizona State University

Affiliations

Ira A. Fulton Schools of Engineering

School of Computing and Augmented Intelligence

Ross Maciejewski is currently serving as an Ira A. Fulton Schools Of Engineering Director and Professor at Arizona State University.

Honors

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Experiences

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Education

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Ross Maciejewski

Arizona State University

Director and Professor

You can click a keyword to filter the displayed items

data science computer science visualization information visualization visual analytics machine learning computer vision graph theory public health systems engineering data mining machine learning research computational visualization data and information visualization graph analysis analytics deep learning knowledge discovery visual analytics framework graph processing graph neural networks information technology algorithmic fairness algorithmic bias urban geography online information data exploration mobility computational intelligence human-computer interaction computer graphics image representation data security geometric learning convolutional neural networks scientific visualization geovisualization social medium mining interactive visualization food-energy-water nexus predictive visual analytics same stats discrete algorithms global networks machine vision geopolitics mobility analysis mobility management optical engineering visual modeling visual computing machine learning models syndromic surveillance disease surveillance object tracking transfer learning data annotation ranking algorithms domain adaptation temporal networks river basin management social medium data crowdsourcing data aggregation graph convolutional networks deep learning models visual analytics system graph mining visualization tool network alignment graph properties emergency response temporal graphs niger river basin volume composition metabolomics data data integration scientific data geographic analytics social media

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Simulation-Based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning. IEEE Transactions on Visualization and Computer Graphics (2024)

Yixuan WangJieqiong ZhaoJiayi HongRonald G. AskinRoss Maciejewski

interactive visualizationcomputer sciencemachine learninginteractive machine learningvisualizationinteractive label correction

A Survey of Designs for Combined 2D+3D Visual Representations. IEEE Transactions on Visualization and Computer Graphics (2024)

Jiayi HongRostyslav HnatyshynEbrar A. D. SantosRoss MaciejewskiTobias Isenberg

3d vision3d computer visiondesignvisual designinformation visualizationvisualizationvisual modelingcomputer vision

Capturing Cancer as Music: Cancer Mechanisms Expressed Through Musification. (2024)

Rostyslav HnatyshynJiayi HongRoss MaciejewskiChristopher NorbyCarlo C. Maley

cancer researchradiation oncologyoncologymusical expressioncancer biologycancer riskhealth sciencescancer mechanismsmusicmedicinal research

Carbon Emission in Football Games. Sustainability and Sports Science Journal (2024)

Jiayi HongSia SheguriRonald G. AskinRoss Maciejewski

emission reductionhuman impacts on the environmentenvironmental sustainabilityfootball gamessustainability sciencesport economicscarbon emissionpublic healthsport managementenvironmental scienceecologyclimate changeair pollutionsport science

Geovisualization. Chapman and Hall/CRC eBooks (2024)

Luc Anselin

Group Fairness via Group Consensus. 2022 ACM Conference on Fairness, Accountability, and Transparency (2024)

Eunice ChanZhining LiuRuizhong QiuYuheng ZhangRoss MaciejewskiHanghang Tong

group fairnessmachine learning researchmachine learning modelscomputer sciencealgorithmic biasmachine learningdata sciencegroup consensusfairnessbias detectionbiasalgorithmic fairness

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation. International Conference on Human Factors in Computing Systems (2024)

Arlen FanFan LeiMichelle MancenidoAlan M. MaceachrenRoss Maciejewski

spatial autocorrelationreader takeawaysmachine learningdata sciencespatial analysisthematic maps

Deceptive Fairness Attacks on Graphs via Meta Learning. arXiv (Cornell University) (2023)

Kang, JianXia, YinglongMaciejewski, RossLuo, JieboTong, Hanghang

machine learning researchfair graph learningcomputer sciencealgorithmic biasmachine learningadversarial machine learningdata sciencegraph neural networksmeta learningartificial intelligencefairnessdata privacygraph theoryalgorithmic fairnessdeceptive fairness attacksneural network (machine learning)

Evaluating the Impact of Uncertainty Visualization on Model Reliance. IEEE Transactions on Visualization and Computer Graphics (2023)

Jieqiong ZhaoYixuan WangMichelle V. MancenidoErin K. ChiouRoss Maciejewski

uncertainty visualizationcomputer sciencemachine learningcomputational visualizationdata sciencevisualizationmodel reliancecomputer vision

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. Proceedings of the ACM Web Conference 2022 (2023)

Dongqi FuDawei ZhouRoss MaciejewskiArie CroitoruMarcus BoydJingrui He

network sciencecluster computingcommunity structurenetwork analysiscommunity mininggraph algorithmsgraph cutscomputer scienceclusteringdata sciencetemporal graphsdiscrete algorithmsdemographic paritygraph theorygraph analysis

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Ross Maciejewski

Director and Professor

Arizona State University

Affiliations

Ira A. Fulton Schools of Engineering

School of Computing and Augmented Intelligence

Ross Maciejewski is currently serving as an Ira A. Fulton Schools Of Engineering Director and Professor at Arizona State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ross Maciejewski

Arizona State University

Director and Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Simulation-Based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning. IEEE Transactions on Visualization and Computer Graphics (2024)

Yixuan WangJieqiong ZhaoJiayi HongRonald G. AskinRoss Maciejewski

interactive visualizationcomputer sciencemachine learninginteractive machine learningvisualizationinteractive label correction

A Survey of Designs for Combined 2D+3D Visual Representations. IEEE Transactions on Visualization and Computer Graphics (2024)

Jiayi HongRostyslav HnatyshynEbrar A. D. SantosRoss MaciejewskiTobias Isenberg

3d vision3d computer visiondesignvisual designinformation visualizationvisualizationvisual modelingcomputer vision

Capturing Cancer as Music: Cancer Mechanisms Expressed Through Musification. (2024)

Rostyslav HnatyshynJiayi HongRoss MaciejewskiChristopher NorbyCarlo C. Maley

cancer researchradiation oncologyoncologymusical expressioncancer biologycancer riskhealth sciencescancer mechanismsmusicmedicinal research

Carbon Emission in Football Games. Sustainability and Sports Science Journal (2024)

Jiayi HongSia SheguriRonald G. AskinRoss Maciejewski

Geovisualization. Chapman and Hall/CRC eBooks (2024)

Luc Anselin

Group Fairness via Group Consensus. 2022 ACM Conference on Fairness, Accountability, and Transparency (2024)

Eunice ChanZhining LiuRuizhong QiuYuheng ZhangRoss MaciejewskiHanghang Tong

group fairnessmachine learning researchmachine learning modelscomputer sciencealgorithmic biasmachine learningdata sciencegroup consensusfairnessbias detectionbiasalgorithmic fairness

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation. International Conference on Human Factors in Computing Systems (2024)

Arlen FanFan LeiMichelle MancenidoAlan M. MaceachrenRoss Maciejewski

spatial autocorrelationreader takeawaysmachine learningdata sciencespatial analysisthematic maps

Deceptive Fairness Attacks on Graphs via Meta Learning. arXiv (Cornell University) (2023)

Kang, JianXia, YinglongMaciejewski, RossLuo, JieboTong, Hanghang

Evaluating the Impact of Uncertainty Visualization on Model Reliance. IEEE Transactions on Visualization and Computer Graphics (2023)

Jieqiong ZhaoYixuan WangMichelle V. MancenidoErin K. ChiouRoss Maciejewski

uncertainty visualizationcomputer sciencemachine learningcomputational visualizationdata sciencevisualizationmodel reliancecomputer vision

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. Proceedings of the ACM Web Conference 2022 (2023)

Dongqi FuDawei ZhouRoss MaciejewskiArie CroitoruMarcus BoydJingrui He

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multidisciplinary ai

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Yizhou Sun

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multidisciplinary ai

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