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07/31/2023
A continuous Structural Intervention Distance to compare Causal Graphs
Understanding and adequately assessing the difference between a true and...
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07/05/2023
RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis
Raman spectroscopy is a non-destructive and label-free chemical analysis...
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06/01/2023
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
Models that rely solely on pairwise relationships often fail to capture ...
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05/15/2023
Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series
Multivariate time series data that capture the temporal evolution of int...
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05/07/2023
Persistent Homology of the Multiscale Clustering Filtration
In many applications in data clustering, it is desirable to find not jus...
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04/06/2023
Interpretable statistical representations of neural population dynamics and geometry
The dynamics of neuron populations during diverse tasks often evolve on ...
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03/26/2023
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions
We apply different feature engineering methods for time-series to US mar...
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03/08/2023
PyGenStability: Multiscale community detection with generalized Markov Stability
We present PyGenStability, a general-use Python software package that pr...
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12/30/2022
Dynamic Feature Engineering and model selection methods for temporal tabular datasets with regime changes
The application of deep learning algorithms to temporal panel datasets i...
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07/05/2022
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations
Early diagnosis of disease can result in improved health outcomes, such ...
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02/24/2021
Similarity measure for sparse time course data based on Gaussian processes
We propose a similarity measure for sparsely sampled time course data in...
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10/28/2020
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles
Production of news content is growing at an astonishing rate. To help ma...
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10/01/2020
Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
Two-sample and independence tests with the kernel-based MMD and HSIC hav...
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07/14/2020
Data-driven modelling and characterisation of task completion sequences in online courses
The intrinsic temporality of learning demands the adoption of methodolog...
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06/04/2020
Severability of mesoscale components and local time scales in dynamical networks
A major goal of dynamical systems theory is the search for simplified de...
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05/16/2020
BART-based inference for Poisson processes
The effectiveness of Bayesian Additive Regression Trees (BART) has been ...
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05/08/2020
Geometric graphs from data to aid classification tasks with graph convolutional networks
Classification is a classic problem in data analytics and has been appro...
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04/16/2020
Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
The United Nations' ambitions to combat climate change and prosper human...
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11/28/2019
HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways
The explosion of data throughout the biomedical sciences provides unprec...
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09/24/2019
Semi-supervised classification on graphs using explicit diffusion dynamics
Classification tasks based on feature vectors can be significantly impro...
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09/06/2019
Graph-based data clustering via multiscale community detection
We present a graph-theoretical approach to data clustering, which combin...
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08/31/2019
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
The large volume of text in electronic healthcare records often remains ...
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07/20/2019
Learning spatiotemporal signals using a recurrent spiking network that discretizes time
Learning to produce spatiotemporal sequences is a common task the brain ...
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05/30/2019
Quantifying the alignment of graph and features in deep learning
We show that the classification performance of Graph Convolutional Netwo...
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11/14/2018
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
Electronic Healthcare records contain large volumes of unstructured data...
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08/03/2018
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning
The explosion in the amount of news and journalistic content being gener...
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07/07/2018
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology
Electronic Healthcare Records contain large volumes of unstructured data...
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04/17/2018