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Found 6 papers, 1 papers with code
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
We propose a novel statistical inference methodology for multiway count data that is corrupted by false zeros that are indistinguishable from true zero counts.
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
Software flaw detection using multimodal deep learning models has been demonstrated as a very competitive approach on benchmark problems.
Multimodal Deep Learning for Flaw Detection in Software Programs
We explore the use of multiple deep learning models for detecting flaws in software programs.
A Review of Machine Learning Applications in Fuzzing
Fuzzing has played an important role in improving software development and testing over the course of several decades.
Temporal Link Prediction using Matrix and Tensor Factorizations
We show how the well-known Katz method for link prediction can be extended to bipartite graphs and, moreover, approximated in a scalable way using a truncated singular value decomposition.
Scalable Tensor Factorizations for Incomplete Data
In the presence of missing data, CP can be formulated as a weighted least squares problem that models only the known entries.
Numerical Analysis Numerical Analysis Data Analysis, Statistics and Probability G.1.3; G.1.6
