Advances in AI and machine learning for predictive medicine
The field of omics, driven by advances in high-throughput sequencing, faces a data
explosion. This abundance of data offers unprecedented opportunities for predictive …
explosion. This abundance of data offers unprecedented opportunities for predictive …
DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics
Modern oncology offers a wide range of treatments and therefore choosing the best option
for particular patient is very important for optimal outcome. Multi-omics profiling in …
for particular patient is very important for optimal outcome. Multi-omics profiling in …
Machine learning algorithms for raw and unbalanced intrusion detection data in a multi-class classification problem
M Bacevicius, A Paulauskaite-Taraseviciene - Applied Sciences, 2023 - mdpi.com
Various machine learning algorithms have been applied to network intrusion classification
problems, including both binary and multi-class classifications. Despite the existence of …
problems, including both binary and multi-class classifications. Despite the existence of …
Enhanced analysis of tabular data through Multi-representation DeepInsight
Tabular data analysis is a critical task in various domains, enabling us to uncover valuable
insights from structured datasets. While traditional machine learning methods can be used …
insights from structured datasets. While traditional machine learning methods can be used …
Intrusion detection without attack knowledge: generating out-of-distribution tabular data
A Ceccarelli, T Zoppi - 2023 IEEE 34th International …, 2023 - ieeexplore.ieee.org
Anomaly-based intrusion detectors are machine learners trained to distinguish between
normal and anomalous data. The normal data is generally easy to collect when building the …
normal and anomalous data. The normal data is generally easy to collect when building the …
DeepInsight-3D for precision oncology: an improved anti-cancer drug response prediction from high-dimensional multi-omics data with convolutional neural networks
Modern oncology offers a wide range of treatments and therefore choosing the best option
for particular patient is very important for optimal outcomes. Multi-omics profiling in …
for particular patient is very important for optimal outcomes. Multi-omics profiling in …