output
20072025
most citedEnhanced Inter-Cell Interference Coordination Challenges in Heterogeneous Networks

1k citations

35 papers

cs.LG2025★ 1 cited

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…

q-fin.ST2025★ 1 cited

"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…

q-bio.BM2025

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…

cs.CV2025★ 3 cited

Elements of Active Continuous Learning and Uncertainty Self-Awareness: a Narrow Implementation for Face and Facial Expression Recognition

Stanislav Selitskiy

Reflection on one's thought process and making corrections to it if there exists dissatisfaction in its performance is, perhaps, one of the essential traits of intelligence. Howeve…

cs.GL2025★ 1 cited

Education Paradigm Shift To Maintain Human Competitive Advantage Over AI

Stanislav Selitskiy, Chihiro Inoue

Discussion about the replacement of intellectual human labour by ``thinking machines'' has been present in the public and expert discourse since the creation of Artificial Intellig…

cs.CV2022★ 12 cited

Efficient approach of using CNN based pretrained model in Bangla handwritten digit recognition

Muntarin Islam, Shabbir Ahmed Shuvo, Musarrat Saberin Nipun +5

Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition is essential for numerous application…