Weak Relation Enforcement for Kinematic-Informed Long-Term Stock Prediction with Artificial Neural Networks
S Selitskiy - Science and Information Conference, 2024 - Springer
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 …
points in the Kinematic-Informed artificial Neural Networks (KINN) for long-term stock …
Explicit Model Memorisation to Fight Forgetting in Time-series Prediction
S Selitskiy - SoutheastCon 2024, 2024 - ieeexplore.ieee.org
The catastrophic forgetting of the previously learned patterns during continuous life-long re-
training of the models is a well-known machine learning problem. We propose an explicit …
training of the models is a well-known machine learning problem. We propose an explicit …
Education Paradigm Shift To Maintain Human Competitive Advantage Over AI
S Selitskiy, C Inoue - AIAA AVIATION FORUM AND ASCEND 2024, 2024 - arc.aiaa.org
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 Intelligence …
been present in the public and expert discourse since the creation of Artificial Intelligence …