Bankruptcy prediction using deep learning approach based on borderline SMOTE
S Smiti, M Soui - Information Systems Frontiers, 2020 - Springer
Imbalanced classification on bankruptcy prediction is considered as one of the most
important topics in financial institutions. In this context, various statistical and artificial …
important topics in financial institutions. In this context, various statistical and artificial …
Achieving super-resolution remote sensing images via the wavelet transform combined with the recursive res-net
W Ma, Z Pan, J Guo, B Lei - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
Deep learning (DL) has been successfully applied to single image super-resolution (SISR),
which aims at reconstructing a high-resolution (HR) image from its low-resolution (LR) …
which aims at reconstructing a high-resolution (HR) image from its low-resolution (LR) …
Wavelet extreme learning machine and deep learning for data classification
Abstract Recently, the Extreme Learning Machine (ELM) algorithm has been applied to
various fields due to its rapidity and significant generalization performance. Traditionally …
various fields due to its rapidity and significant generalization performance. Traditionally …
Accelerated deep learning
S Lie, M Morrison, ME James, GR Lauterbach… - US Patent …, 2020 - Google Patents
Techniques in advanced deep learning provide improvements in one or more of accuracy,
performance, and energy efficiency, such as accuracy of learning, accuracy of prediction …
performance, and energy efficiency, such as accuracy of learning, accuracy of prediction …
Towards a deep human activity recognition approach based on video to image transformation with skeleton data
One of the most recent challenging tasks in computer vision is Human Activity Recognition
(HAR), which aims to analyze and detect the human actions for the benefit of many fields …
(HAR), which aims to analyze and detect the human actions for the benefit of many fields …
Bankruptcy prediction using stacked auto-encoders
M Soui, S Smiti, MW Mkaouer… - Applied Artificial …, 2020 - Taylor & Francis
Bankruptcy prediction is considered as one of the vital topics in finance and accounting. The
purpose of predicting bankruptcy is to build a predictive model that combines several …
purpose of predicting bankruptcy is to build a predictive model that combines several …
Wavelet representation for accelerated deep learning
S Lie, GR Lauterbach, ME James, M Morrison… - US Patent …, 2019 - Google Patents
2019-07-09 Assigned to CEREBRAS SYSTEMS INC. reassignment CEREBRAS SYSTEMS
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …
ExplainFix: Explainable spatially fixed deep networks
Is there an initialization for deep networks that requires no learning? ExplainFix adopts two
design principles: the “fixed filters” principle that all spatial filter weights of convolutional …
design principles: the “fixed filters” principle that all spatial filter weights of convolutional …
[HTML][HTML] Harmonic convolutional networks based on discrete cosine transform
Convolutional neural networks (CNNs) learn filters in order to capture local correlation
patterns in feature space. We propose to learn these filters as combinations of preset …
patterns in feature space. We propose to learn these filters as combinations of preset …
Dataflow triggered tasks for accelerated deep learning
S Lie, GR Lauterbach, ME James, M Morrison… - US Patent …, 2020 - Google Patents
2019-07-09 Assigned to CEREBRAS SYSTEMS INC. reassignment CEREBRAS SYSTEMS
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …