1 citations · 1 across the 3 of their papers we have counts for
5 papers
Batch Transformer Architecture: Case of Synthetic Image Generation for Emotion Expression Facial Recognition
Stanislav Selitskiy
A novel Transformer variation architecture is proposed in the implicit sparse style. Unlike "traditional" Transformers, instead of attention to sequential or batch entities in thei…
Weak Relation Enforcement for Kinematic-Informed Long-Term Stock Prediction with Artificial Neural Networks
Stanislav Selitskiy
We propose loss function week enforcement of the velocity relations between time-series points in the Kinematic-Informed artificial Neural Networks (KINN) for long-term stock predi…
"It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction
Stanislav Selitskiy
We investigate a number of Artificial Neural Network architectures (well-known and more ``exotic'') in application to the long-term financial time-series forecasts of indexes on di…
Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
Stanislav Selitskiy
Large Artificial Neural Network (ANN) models have demonstrated success in various domains, including general text and image generation, drug discovery, and protein-RNA (ribonucleic…
Real-time and Zero-footprint Bag of Synthetic Syllables Algorithm for E-mail Spam Detection Using Subject Line and Short Text Fields
Stanislav Selitskiy
Contemporary e-mail services have high availability expectations from the customers and are resource-strained because of the high-volume throughput and spam attacks. Deep Machine L…