Analytical review of methods for identifying emotions in text data

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Analytical review of methods for identifying emotions in text data

CEUR Workshop Proceedings. 2020. Vol. 2552. P. 8–21.

Двойникова А. А., Verkholyak O., Karpov A.

Язык: английский

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Machine Learning Methods for Fast Evaluation of Static IR Drop Effect

Solovyev Roman A., Telpukhov Dmitry, Shafeev I. и др., Technologies 2026 Vol. 14 No. 3 Article 169

Добавлено: 3 мая 2026 г.

Decision-Making in Computational Intelligence-Based Systems: New Approaches, Methods, and Applications

Cham: Springer, 2026.

This book delivers actionable insights through 21 peer-reviewed chapters featuring new methods, models, and applications based on computational intelligence. Discover cutting-edge tools to support smart, efficient decision-making in complex, real-world scenarios. Organized into three parts—prescriptive analytics, soft computing models, and practical case studies—it spans domains such as healthcare, energy, mobility, finance, and public services. Readers ...

Добавлено: 17 марта 2026 г.

Tackling the challenge of ML-assisted antibacterial activity prediction: One step closer to controlled quaternary ammonium compounds design via neural networks model

Ilin E., Frolov N., Seferyan M. и др., Bioorganic Chemistry 2025 Vol. 167 Article 109175

The ongoing rise of resistant bacterial pathogens poses a significant threat to current antibacterials' effectiveness putting millions of people's lives at risk. However, modern machine learning (ML) tools promise to tip the scales in the never-ending development of antimicrobial agents' pipelines. Herein we present a novel approach for quaternary ammonium compounds (QACs) antibacterial activity prediction ...

Добавлено: 16 марта 2026 г.

POPULATION AND WORKPLACES ESTIMATION USING MACHINE LEARNING AND OPEN DATA SOURCES

Kiselev G., Прохоров А. В., Journal of Mathematical Sciences. Vol. 295, No. 2, December, 2025. Mathematical Modeling and AI for Traffic Flows on Networks and Related Topics 2025 No. 295 P. 185–196

Добавлено: 12 марта 2026 г.

Compression-Induced Lattice Tilting Quenches Ion Migration at Metal Halide Perovskite Grain Boundaries: A Machine Learning Molecular Dynamics Study

Mikhail R. Samatov, Лю Д., Emir S. Amirov и др., The Journal of Physical Chemistry Letters 2025 Vol. 16 No. 51 P. 13068–13074

Добавлено: 20 декабря 2025 г.

Proceedings of The Fifth France's International Conference on Complex Systems (FRCCS 2025)

Springer, 2025.

This volume gathers the peer-reviewed proceedings of the Fifth France's International Conference on Complex Systems (FRCCS 2025), held in Bordeaux, France. FRCCS has become a key interdisciplinary venue for researchers and practitioners exploring the theory, modeling, and applications of complex systems. The book covers a broad range of topics, including network science, dynamical systems, data mining, ...

Добавлено: 8 декабря 2025 г.

CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management

ACM, 2025.

Добавлено: 16 ноября 2025 г.

Development the reinforcement learning model for sources identification of H2S industrial emissions

Кычкин А. В., Черницин И. А., Викентьева О. Л., , in: 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2025. P. 987–991.

Добавлено: 4 ноября 2025 г.

2025 2nd International Conference on Intelligent Computing and Robotics (ICICR)

Dalian: IEEE, 2025.

Добавлено: 3 ноября 2025 г.

Revisiting Non-Acyclic GFlowNets in Discrete Environments

Морозов Н. В., Максимов Я. В., Тяпкин Д. Н. и др., , in: Volume 267: International Conference on Machine Learning, 13-19 July 2025, Vancouver Convention Center, Vancouver, CanadaVol. 267.: [б.и.], 2025. P. 44887–44910.

Добавлено: 15 октября 2025 г.

Volume 267: International Conference on Machine Learning, 13-19 July 2025, Vancouver Convention Center, Vancouver, Canada

[б.и.], 2025.

Добавлено: 15 октября 2025 г.

Moment tensor potential and equivariant tensor network potential with explicit dispersion interactions

Chalykh O., Korogod D., Ivan S. Novikov и др., Journal of Chemical Physics 2025 Vol. 163 No. 13 Article 134112

Добавлено: 12 октября 2025 г.

Dataset of artefacts for machine learning applications in astronomy

Sreejith S., Pruzhinskaya M., Volnova A. и др., New Astronomy 2026 Vol. 122 Article 102466

Добавлено: 2 октября 2025 г.

Towards stimulation-free automatic electrocorticographic speech mapping in neurosurgery patients

Воскобойников А. М., Magomed Aliverdiev, Yulia Nekrasova и др., Journal of Neural Engineering 2025 Vol. 22 No. 5 Article 056002

Добавлено: 2 сентября 2025 г.

Landscape patterns of shrubification in the Siberian Low Arctic: A machine learning perspective

Деркачева А. А., Frost G., Epstein H. и др., Journal of Ecology 2025 Vol. 113 No. 10 P. 2813–2831

Добавлено: 4 августа 2025 г.

Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies

Маткин Н. А., Смирнов А. О., Усанин М. А. и др., , in: 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17–19, 2024, Revised Selected Papers.: Cham: Springer, 2025.

The labor market is undergoing rapid changes, with increasing demands on job seekers and a surge in job openings. Identifying essential skills and competencies from job descriptions is challenging due to varying employer requirements and the omission of key skills. This study addresses these challenges by comparing traditional Named Entity Recognition (NER) methods based on ...

Добавлено: 26 июля 2025 г.

Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand, PMLR: vol. 258

PMLR, 2025.

Добавлено: 18 мая 2025 г.

Analysis of Propagation/Leakage transition of fiber cladding modes for processing of data from dielectric tilted fiber Bragg grating sensors

Chubchev E. D., Dolzhenko E. I., K.A. Tomyshev и др., Measurement: Journal of the International Measurement Confederation 2025 Vol. 253 Article 117479

Tilted fiber Bragg gratings (TFBGs) possess promising characteristics for refractometric purposes. However, their complex spectral response containing a large number of features makes the sensor’s output relevance highly dependent on data demodulation and interpretation. We propose a method for processing sensor data based on a detailed analysis of the system’s behavior during the transition of cladding modes from ...

Добавлено: 16 мая 2025 г.

Forecasting Stadium Attendance Using Machine Learning Models: A Case of the National Football League

Пан Ю., Ван Ф., Studia Sportiva 2024 Vol. 18 No. 2 P. 147–164

Добавлено: 16 мая 2025 г.

Knowledge Discovery, Knowledge Engineering and Knowledge Management: 15th International Joint Conference, IC3K 2023, Rome, Italy, November 13-15, 2023, Revised Selected Papers

Rome: Springer, 2025.

Добавлено: 2 мая 2025 г.

Predicting Extreme Events for Complex High-Dimensional Systems

Чертоганов К. А., Journal of Finance and Data Science 2025

This research aims to enhance the forecasting accuracy of extreme events, which pose significant challenges across various domains such as meteorology, finance, and public health. The study investigates the integration of cross-correlation and partial autocorrelation functions (PACF) with machine learning techniques to address the limitations of traditional forecasting methods and improve predictive reliability and interpretability. ...

Добавлено: 29 апреля 2025 г.