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10/06/2022
Adversarial Lagrangian Integrated Contrastive Embedding for Limited Size Datasets
Certain datasets contain a limited number of samples with highly various...
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06/22/2022
Object Type Clustering using Markov Directly-Follow Multigraph in Object-Centric Process Mining
Object-centric process mining is a new paradigm with more realistic assu...
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03/20/2021
Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR
Case Management has been gradually evolving to support Knowledge-intensi...
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11/30/2020
Persistent Reductions in Regularized Loss Minimization for Variable Selection
In the context of regularized loss minimization with polyhedral gauges, ...
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07/18/2020
Graph-based process mining
Process mining is an area of research that supports discovering informat...
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04/10/2019
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Prior knowledge on properties of a target model often come as discrete o...
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02/27/2019
A New Algorithm for Improved Blind Detection of Polar Coded PDCCH in 5G New Radio
In recent release of the new cellular standard known as 5G New Radio (5G...
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02/19/2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
We provide a framework to approximate the 2-Wasserstein distance and the...
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02/26/2018
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes
High-dimensional time series data exist in numerous areas such as financ...
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07/08/2017
Subspace Clustering with Missing and Corrupted Data
Subspace clustering is the process of identifying a union of subspaces m...
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12/15/2015