A Method for Verifying Dynamic Signatures Based on Signature Regions

Zalasinski M., Slowik A., Szczepanik T., A Method for Verifying Dynamic Signatures Based on Signature Regions, Lecture Notes in Computer Science, 15950 LNCS, 15950 LNCS, 327-336, 2026, Cites: 0

PV Solar Power Forecasting Using a Subset of Characteristic Features Selected by AI Methods

Szczepanik T., Zalasinski M., PV Solar Power Forecasting Using a Subset of Characteristic Features Selected by AI Methods, Lecture Notes in Computer Science, 15166 LNAI, 15166 LNAI, 186-195, 2025, Cites: 0

A Machine Learning System for Energy Forecasting with Feature Importance Analysis

Zalasinski M., Szczepanik T., Dobosz P., A Machine Learning System for Energy Forecasting with Feature Importance Analysis, Lecture Notes in Computer Science, 15910 LNCS, 15910 LNCS, 27-42, 2025, Cites: 0

A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors

Mastalerczyk M., Szczepanik T., Zalasinski M., A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 14126 LNAI, 14126 LNAI, 251-257, 2023, Cites: 0