Search Results for author:
Found 6 papers, 1 papers with code
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition
The dataset, DOO-RE, includes data streams from various ambient sensor types such as Sound and Projector.
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
We present the efficiency of semi-orthogonal embedding for unsupervised anomaly segmentation.
Ranked #1 on
Unsupervised Anomaly Detection
on KolektorSDD
(using extra training data)
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
This work presents a novel semi-supervised learning approach for data-driven modeling of asset failures when health status is only partially known in historical data.
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
A eukaryotic gene consists of multiple exons (protein coding regions) and introns (non-coding regions), and a splice junction refers to the boundary between a pair of exon and intron.
Manifold Regularized Deep Neural Networks using Adversarial Examples
Learning meaningful representations using deep neural networks involves designing efficient training schemes and well-structured networks.
Regularization and Kernelization of the Maximin Correlation Approach
Robust classification becomes challenging when each class consists of multiple subclasses.
