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08/28/2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
Ranking schemes drive many real-world decisions, like, where to study, w...
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11/05/2022
Rankers, Rankees, Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective
Algorithmic rankers have a profound impact on our increasingly data-driv...
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08/20/2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
Recent advances in artificial intelligence largely benefit from better n...
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05/10/2022
Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning
We use deep distributional reinforcement learning (RL) to develop a hedg...
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03/08/2022
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models
Error analysis in NLP models is essential to successful model developmen...
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01/19/2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
One of the potential solutions for model interpretation is to train a su...
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09/19/2021
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets
Rule sets are often used in Machine Learning (ML) as a way to communicat...
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09/12/2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation
Rapid improvements in the performance of machine learning models have pu...
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09/08/2021
Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
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07/20/2021
Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks
Ultra-reliability and low latency communication plays an important role ...
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03/01/2021
Visualizing Rule Sets: Exploration and Validation of a Design Space
Rule sets are often used in Machine Learning (ML) as a way to communicat...
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10/05/2020
Mind the Pad – CNNs can Develop Blind Spots
We show how feature maps in convolutional networks are susceptible to sp...
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08/21/2020
A Survey of Visual Analytics Techniques for Machine Learning
Visual analytics for machine learning has recently evolved as one of the...
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07/29/2020
Evaluation of Sampling Methods for Scatterplots
Given a scatterplot with tens of thousands of points or even more, a nat...
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07/21/2020
SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level
Understanding the interpretation of machine learning (ML) models has bee...
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03/05/2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
The continued improvements in the predictive accuracy of machine learnin...
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02/08/2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples
One major cause of performance degradation in predictive models is that ...
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01/24/2019
Benchmarking Time Series Databases with IoTDB-Benchmark for IoT Scenarios
With the wide application of time series databases (TSDBs) in big data f...
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01/24/2019
Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios
With the wide application of time series databases (TSDB) in big data fi...
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09/02/2015
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition
Detecting and recognizing objects interacting with humans lie in the cen...
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12/22/2014