Research
Welcome to our research page! Here we detail the ongoing projects within the Mines Machine Learning and Intelligent Systems Lab (MMLIS-L)
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Current Research Projects
Current Research Projects
Graph-Based Forecasting via Multilinear Time-Series Models
Graph-Based Forecasting via Multilinear Time-Series Models
This project aims to extend classical ARMA-like time-series models to a multilinear framework for forecasting n-dimensional structured data (images, video, dynamic graphs, etc.)
Dimensionality Reduction and Knowledge Discovery via Multilinear Subspace Learning
Dimensionality Reduction and Knowledge Discovery via Multilinear Subspace Learning
This project aims to investigate how high-order tensor structures can be used to exten shallow and deep learning algorithms for pattern analysis and knowledge discovery.
Covert Video Analytics using Deep Learning & Semantic Reasoning
Covert Video Analytics using Deep Learning & Semantic Reasoning
SkipGCN: A Framework for Hierarchical Graph Representation Learning
SkipGCN: A Framework for Hierarchical Graph Representation Learning
Temporal Tensor Factorization
Temporal Tensor Factorization
Modeling, Understanding, and Twarting Covert Networks
Modeling, Understanding, and Twarting Covert Networks
This project aims to integrate desparate multimodal data to build accurate models of covert networks commonly found in illicit markets (trafficking, countefiet goods, critical minerals, etc.)
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