The Relation Between Words and Definitions in Combined Word-Sentence Space

Regularization Effect of Dropout

Energy accounting of the black box: An exploratory study of the restrictions on accounting the energy consumption of training deep learning models in data centers

UNet-based Fully-automatic Segmentation of the Capitate from CT Images

Sample-efficient multi-agent reinforcement learning using learned world models

On the Sequential Data Models in Side-Channel Analysis: RNN, LSTM, GRU Hyperparameters, Autoencoder and Embedding Layer

Predicting pedestrian path using optical flow as context cue

Learning Interaction-Aware Trajectory Predictions for Multi-Robot Motion Planning

A Novel Method for Solving High-Dimensional Backward Stochastic Differential Equations Using Malliavin Calculus and Deep Learning

Design of a Graph Neural Network: to predict the optimal resolution of the Sonar Performance Model

Weight Swapping: A new method for Supervised Domain Adaptation in Computer Vision using Discrete Optimization

Investigating Physics-Informed Neural Networks for solving PDEs

Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task

Applying Machine Learning to Learn System Dynamics Models for Urban Systems

Predicting high order Reduced Order Model coefficients for proton therapy dose approximations using deep learning

Road Detection from Remote Sensing Imagery

Analysis of the effect of caching convolutional network layers on resource constraint devices

A Literature Study into Hyperparameter Systematization for Deep Learning-based Side-Channel Analysis

Application of Deep Learning to Coherent Fourier Scatterometry data

Breakpoint detection through neural nets: A feasibility study