Vol. 108, No. 2, 2023
Introductory Words of AI Journey Team
p. S167 abstract
Artificial Intelligence in Society
p. S168 abstract
Probability Calibration with Fuzzy Set Theory to Improve Early Cancer Detection
p. S179 abstract
Optimization of Physics-Informed Neural Networks for Solving the Nolinear Schrödinger Equation
p. S186 abstract
Deep Learning Approach to Classification of Acoustic Signals Using Information Features
p. S196 abstract
Adaptive Spectral Normalization for Generative Models
p. S205 abstract
Deep Metric Learning: Loss Functions Comparison
p. S215 abstract
Spectral Neural Operators
p. S226 abstract
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints
p. S233 abstract
Solving Large-Scale Routing Optimization Problems with Networks and Only Networks
p. S242 abstract
Algorithms with Gradient Clipping for Stochastic Optimization with Heavy-Tailed Noise
p. S248 abstract
Towards Discovery of the Differential Equations
p. S257 abstract
Towards Efficient Learning of GNNs on High-Dimensional Multilayered Representations of Tabular Data
p. S265 abstract
Activations and Gradients Compression for Model-Parallel Training
p. S272 abstract
Possibility of Recovering Message Segments Based on Side Information about Original Characters
p. S282 abstract
Neural Network Approach to the Problem of Predicting Interest Rate Anomalies under the Influence of Correlated Noise
p. S293 abstract
Min-Max Optimization over Slowly Time-Varying Graphs
p. S300 abstract
Automated System for Analysis of OCT Retina Images Development and Testing
p. S310 abstract
Statistical Online Learning in Recurrent and Feedforward Quantum Neural Networks
p. S317 abstract
1-Dimensional Topological Invariants to Estimate Loss Surface Non-Convexity
p. S325 abstract
Barcodes as Summary of Loss Function Topology
p. S333 abstract
Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities
p. S348 abstract
SpiderNet: Fully Connected Residual Network for Fraud Detection
p. S360 abstract
Automating the Temperament Assessment of Online Social Network Users
p. S368 abstract
An Explained Artificial Intelligence-Based Solution to Identify Depression Severity Symptoms Using Acoustic Features
p. S374 abstract
Hierarchical Method for Cooperative Multiagent Reinforcement Learning in Markov Decision Processes
p. S382 abstract
Accessible Russian Large Language Models: Open-Source Models and Instructive Datasets for Commercial Applications
p. S393 abstract
Graph Models for Contextual Intention Prediction in Dialog Systems
p. S399 abstract
Neural Networks for Coordination Analysis
p. S416 abstract
Text Reuse Detection in Handwritten Documents
p. S424 abstract
Artificially Generated Text Fragments Search in Academic Documents
p. S434 abstract
eco4cast: Bridging Predictive Scheduling and Cloud Computing for Reduction of Carbon Emissions for ML Models Training
p. S443 abstract
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
p. S456 abstract
Optimal Data Splitting in Distributed Optimization for Machine Learning
p. S465 abstract
Machine Learning As a Tool to Accelerate the Search for New Materials for Metal-Ion Batteries
p. S476 abstract
Investigation of Neural Network Algorithms for Human Movement Prediction Based on LSTM and Transformers
p. S484 abstract
Safe Pretraining of Deep Language Models in a Synthetic Pseudo-Language
p. S494 abstract
Do we Benefit from the Categorization of the News Flow in the Stock Price Prediction Problem?
p. S503 abstract
No Two Users Are Alike: Generating Audiences with Neural Clustering for Temporal Point Processes
p. S511 abstract
ESGify: Automated Classification of Environmental, Social, and Corporate Governance Risks
p. S529 abstract