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07/05/2023
tsdownsample: high-performance time series downsampling for scalable visualization
Interactive line chart visualizations greatly enhance the effective expl...
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04/29/2023
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB
Visualization plays an important role in analyzing and exploring time se...
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04/03/2023
Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines
Time series visualization plays a crucial role in identifying patterns a...
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11/10/2022
Perfectly predicting ICU length of stay: too good to be true
A paper of Alsinglawi et al was recently accepted and published in Scien...
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07/15/2022
Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring
Over the last few years, research in automatic sleep scoring has mainly ...
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06/17/2022
Plotly-Resampler: Effective Visual Analytics for Large Time Series
Visual analytics is arguably the most important step in getting acquaint...
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06/16/2022
Powershap: A Power-full Shapley Feature Selection Method
Feature selection is a crucial step in developing robust and powerful ma...
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03/04/2022
R-GCN: The R Could Stand for Random
The inception of Relational Graph Convolutional Networks (R-GCNs) marked...
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11/24/2021
tsflex: flexible time series processing feature extraction
Time series processing and feature extraction are crucial and time-inten...
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01/15/2020
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling
Information extracted from electrohysterography recordings could potenti...
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12/06/2018
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning
Glaucoma is a major eye disease, leading to vision loss in the absence o...
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11/17/2016
GENESIM: genetic extraction of a single, interpretable model
Models obtained by decision tree induction techniques excel in being int...
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10/05/2014