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03/22/2022
Insights From the NeurIPS 2021 NetHack Challenge
In this report, we summarize the takeaways from the first NeurIPS 2021 N...
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07/12/2021
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
The COVID-19 pandemic created a significant interest and demand for infe...
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09/09/2020
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
This research article suggests that there are significant benefits in ex...
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09/08/2020
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
Topological Data Analysis (TDA) is a recent approach to analyze data set...
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09/07/2020
An industry case of large-scale demand forecasting of hierarchical components
Demand forecasting of hierarchical components is essential in manufactur...
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03/25/2020
Bayesian Sparsification Methods for Deep Complex-valued Networks
With continual miniaturization ever more applications of deep learning c...
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05/20/2019
Demand forecasting techniques for build-to-order lean manufacturing supply chains
Build-to-order (BTO) supply chains have become common-place in industrie...
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04/27/2018
Sparse Group Inductive Matrix Completion
We consider the problem of inductive matrix completion under the assumpt...
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06/11/2017
Conformal k-NN Anomaly Detector for Univariate Data Streams
Anomalies in time-series data give essential and often actionable inform...
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03/16/2017
Steganographic Generative Adversarial Networks
Steganography is collection of methods to hide secret information ("payl...
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09/19/2016