A real-time quantitative analytics system for crypto trading pairs that performs tick ingestion, resampling, statistical analysis, and interactive visualization of mean-reversion signals such as ...
As an editor and writer who has contributed to many national and local publications, Nicole Gregory enjoys communicating clearly on critical health topics so that readers can make informed choices for ...
This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...
Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...
Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...
Abstract: In gene expression data analysis, clustering is a fruitful exploratory technique to reveal the underlying molecular mechanism by identifying groups of co-expressed genes. To reduce the noise ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: In the domain of anomaly detection, it is common that the data presented has lower amount of anomaly cases that cause data imbalance. Resampling technique has been one of the fastest and ...
This package extends the mlr3 package framework with spatiotemporal resampling and visualization methods. If you prefer the tidymodels ecosystem, have a look at the {spatialsample} package for spatial ...
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