2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification
Nikita Gabdullin
This paper studies a combined person reidentification (re-id) method that uses human parsing, analytical feature extraction and similarity estimation schemes. One of its prominent…
Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis
Nikita Gabdullin
This paper studies generalization capabilities of neural networks (NNs) using new and improved PyTorch library Loss Landscape Analysis (LLA). LLA facilitates visualization and anal…
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability
Anton Raskovalov, Nikita Gabdullin, Ilya Androsov
This paper presents neural networks for network intrusion detection systems (NIDS), that operate on flow data preprocessed with a time window. It requires only eleven features whic…
Latent space configuration for improved generalization in supervised autoencoder neural networks
Nikita Gabdullin
Autoencoders (AE) are simple yet powerful class of neural networks that compress data by projecting input into low-dimensional latent space (LS). Whereas LS is formed according to…