Опубликован специальный выпуск журнала Pattern Recognition and Image Analysis (Vol. 35, No. 3, 2025), посвященный 15-й международной конференции «Интеллектуализация обработки информации» (ИОИ-2024).

PRIA JOURNAL SPECIAL ISSUE XV INTERNATIONAL CONFERENCE “INTELLIGENT INFORMATION PROCESSING” (IIP-2024)

• A. A. Dokukin, I. A. Matveev, and O. V. Senko. XV International Conference “Intelligent Information Processing” (IIP-2024), September 23–27, 2024, Grodno, p. 308.

Plenary Papers

• V. M. Nedel’ko. Distillation of Knowledge in Boosting Models, p. 313.
• M. V. Kharinov. Recurrent Generation of Optimal Approximations of a Halftone Image, p. 319.
  

Section Papers—Theoretical Advances

• M. M. Lange. Boundary Relations between Amount of Information and Decision Fidelity for Data Coding and Analysis Models, p. 328.
• V. V. Krasnoproshin, A. V. Karkanitsa, and V. G. Rodchenko. Commonality-Based Recognition System, p. 338.
• I. Yu. Torshin. Methods of Topological Analysis for Generating More Informative Synthetic Features Based on Support Chains and Arbitrary Metric Distance Functions, p. 347.
• A. F. Sharafiev, D. V. Lemtyuzhnikova, and Z. K. Avdeeva. Analysis of Interdependencies in the Characteristics of Graphs of Goals and Tasks of Long-Term Planning Documents, p. 359.

Section Papers—Applications in Image and Signal Processing

• D. M. Murashov. Assessing the Quality of Digital Image Segmentation, p. 376.
• D. A. Pankratov, and S. V. Eremeev. Formation of Microstructure Image Features Based on Topological Decomposition, p. 387.
• A. V. Abakumov, and S. V. Eremeev. Using Persistent Landscapes in Image Processing, p. 397.
• A. A. Zakharov, M. N. Shamshin, and A. L. Zhiznyakov. Surface Defect Detection Method Based on a Small Number of Labeled Images, p. 410.
• V. A. Sokolov, I. A. Matveev, and L. M. Teplyakov. Extracting Embeddings for Active Learning Corresponding to Regions of Interest in an Image, p. 417.
• A. Dmitrienko, and A. Gneushev. Rotation Robust Image Classification with Visual Transformer Based on Spatial Transformation of Feature Maps, p. 427.
• A. B. Murynin, A. A. Rihter, and V. E. Vorobyev. Algorithms for Morphological Analysis of Vectorized Boundaries in Images, p. 438.
• A. V. Zotov, M. A. Lebedev, and D. V. Komarov. Neural Network Detection of Runway and Taxiway Marking Lines, p. 455.
• K. S. Zyryanov, A. I. Oreshkin, and A. I. Chulichkov. An Integrated Method for Segmentation and Relief Refinement of Atomic Images Based on Probe Shape Convolution and U-Net Architecture Neural Network, p. 468.

Section Papers—Signal Analysis and Information Retrieval

• P. A. Petrova, S. I. Markov, and V. V. Kachanov. Building a Dataset for Combined Classification of Source Code Reviews, p. 482.
• N. A. Skachkov. Method of Input Masking for Training Translation Models, p. 493.
• A. B. Ryabtsev, and S. K. Dulin. Improving Structural Consistency in the Task of Finding Groups of Identical Objects, p. 501.
• D. A. Makeev, K. E. Karavaeva, and A. I. Chulichkov. Comparison of Anomaly Detection Algorithms Based on Machine Learning and Spectral Analysis Methods, p. 510.
• P. V. Golubtsov, S. E. Semyonova, and A. I. Chulichkov. Real-Time Estimation of Autocovariance for Large Time Series with Gaps and Its Application, p. 521.
• D. Popov, and A. Maysuradze. Controlled Generation of Synthetic Data for Tasks of Diarization, p. 535.
• D. V. Mikhaylov, and G. M. Emelyanov. Neural Network Language Modeling and Identification of Significant Fragments in Scientific Articles to Nonredundantly Transfer Their Meaning, p. 547.

Section Papers—Applications in Medicine and Biometry

• O. S. Sushkova, A. A. Morozov, and A. V. Karabanov. Development and Application of a Method for Detecting Phase Shifts in Twin Electromyographic Signals for Differential Diagnosis of Parkinson’s Disease and Essential Tremor, p. 558.
• A. N. Pankratov, and N. M. Pankratova. Detection of Hidden Repeats in Primary Structures of Protein Macromolecules Based on Spectral Approach, p. 572.

Также на данный момент еще несколько статей опубликовано по рекомендации программного комитета ИОИ-2024 в различных журналах:

• И. Ю. Торшин. Метризация дискретных топологических пространств в контексте теории решеток. Часть 1. О нормальности пространств // Информатика и ее применения. — 2025. — Т. 19, № 1. — С. 82–88.
• И. Ю. Торшин. Метризация дискретных топологических пространств в контексте теории решеток. Часть 2. Практический анализ следствий теоремы о регулярности и нормальности // Информатика и ее применения. — 2025. — Т. 19, № 2. — С. 55–62.
• (список пополняется по мере выхода статей)