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2026-02-23 07:30:20
2026-02-24 16:54:39
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2026-02-23 08:08:14
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10,507
2026-02-24T09:57:27.940000Z
2026-02-24T09:57:27.940000Z
Lec.
Predicting student dropout in self-paced mooc course using random forest model / S
false
false
false
10,506
2026-02-24T09:57:26.092000Z
2026-02-24T09:57:26.092000Z
Lec.
Liu [et al.] // Non-coding RNA. – 2024. – Vol. 10. – № 1. 33
false
true
false
10,505
2026-02-24T09:57:24.089000Z
2026-02-24T09:57:24.089000Z
Lec.
HGSMDA: miRNA–Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss / Z
false
false
false
10,504
2026-02-24T09:57:22.252000Z
2026-02-24T09:57:22.252000Z
Lec.
Chen // IEEE Access. – 2020. – Vol. 8. – P. 167939-167949. 32
false
false
false
10,503
2026-02-24T09:57:20.395000Z
2026-02-24T09:57:20.395000Z
Lec.
An improved dice loss for pneumothorax segmentation by mining the information of negative areas / L
false
true
false
10,502
2026-02-24T09:57:18.375000Z
2026-02-24T09:57:18.375000Z
Lec.
Maxwell // Remote Sensing. – 2024. – Vol. 16. – № 3. – P. 3-8. 31
false
false
false
10,501
2026-02-24T09:57:16.519000Z
2026-02-24T09:57:16.519000Z
Lec.
Farhadpour, T
true
false
false
10,500
2026-02-24T09:57:14.971000Z
2026-02-24T09:57:14.971000Z
Lec.
Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices / S
false
true
false
10,499
2026-02-24T09:57:13.025000Z
2026-02-24T09:57:13.025000Z
Lec.
Farhadpour, S
true
false
false
10,498
2026-02-24T09:57:11.506000Z
2026-02-24T09:57:11.506000Z
Lec.
Wu [et al.] // Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. – 2022. – Vols. 2022-June. – P. 959-968. 30
false
false
false
10,497
2026-02-24T09:57:09.670000Z
2026-02-24T09:57:09.670000Z
Lec.
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation / Z
false
false
false
10,496
2026-02-24T09:57:07.915000Z
2026-02-24T09:57:07.915000Z
Lec.
Eridani [et al.] // Proceedings - 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2017. – 2017. – Vols. 2018-Janua. – P. 45-49. 29
false
true
false
10,495
2026-02-24T09:57:05.878000Z
2026-02-24T09:57:05.878000Z
Lec.
Prasetijo, R
true
false
false
10,494
2026-02-24T09:57:03.934000Z
2026-02-24T09:57:03.934000Z
Lec.
Hoax detection system on Indonesian news sites based on text classification using SVM and SGD / A
false
false
false
10,493
2026-02-24T09:57:01.487000Z
2026-02-24T09:57:01.487000Z
Lec.
Jannidis // CEUR Workshop Proceedings. – 2023. – Vol. 3558. – P. 592-615. 28
false
true
false
10,492
2026-02-24T09:56:59.721000Z
2026-02-24T09:56:59.721000Z
Lec.
On Character Perception and Plot Structure of German Romance Novels / L
false
false
false
10,491
2026-02-24T09:56:58.051000Z
2026-02-24T09:56:58.051000Z
Lec.
Sugiyama // arXiv. – 2020. – № 2018. – P. 1-20. 27
false
false
false
10,490
2026-02-24T09:56:56.337000Z
2026-02-24T09:56:56.337000Z
Lec.
Stable Weight Decay Regularization / Z
false
false
false
10,489
2026-02-24T09:56:54.815000Z
2026-02-24T09:56:54.815000Z
Lec.
Bisallah // International Journal of Information Management Data Insights. – 2023. – Vol. 3. – № 1. – P. 5. 26
false
true
false
10,488
2026-02-24T09:56:52.898000Z
2026-02-24T09:56:52.898000Z
Lec.
Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers / R
false
false
false
10,487
2026-02-24T09:56:51.007000Z
2026-02-24T09:56:51.007000Z
Lec.
Shang [et al.] // ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. – 2021. – P. 5146-5157. 25
false
true
false
10,486
2026-02-24T09:56:48.960000Z
2026-02-24T09:56:48.960000Z
Lec.
AutoTinyBERT: Automatic hyper-parameter optimization for efficient pre-trained language models / Y
false
false
false
10,485
2026-02-24T09:56:47.287000Z
2026-02-24T09:56:47.287000Z
Lec.
Andrews // Proceedings of the Annual Meeting of the Association for Computational Linguistics. – 2020. – P. 143-155. 24
false
false
false
10,484
2026-02-24T09:56:45.379000Z
2026-02-24T09:56:45.379000Z
Lec.
Compressing BERT: Studying the effects of weight pruning on transfer learning / M
false
false
false
10,483
2026-02-24T09:56:43.684000Z
2026-02-24T09:56:43.684000Z
Lec.
Wang [et al.] // Neural Networks. – 2024. – Vol. 173. 23
false
true
false
10,482
2026-02-24T09:56:41.495000Z
2026-02-24T09:56:41.495000Z
Lec.
DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT / Z
false
true
false
10,481
2026-02-24T09:56:39.596000Z
2026-02-24T09:56:39.596000Z
Lec.
Crespi // IEEE Access. – 2021. – Vol. 9. – P. 154704-154716. 22
false
true
false
10,480
2026-02-24T09:56:37.699000Z
2026-02-24T09:56:37.699000Z
Lec.
Farahbakhsh, N
true
false
false
10,479
2026-02-24T09:56:36.161000Z
2026-02-24T09:56:36.161000Z
Lec.
Rajapaksha, R
false
false
false
10,478
2026-02-24T09:56:34.609000Z
2026-02-24T09:56:34.609000Z
Lec.
BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits / P
false
true
false
10,477
2026-02-24T09:56:32.709000Z
2026-02-24T09:56:32.709000Z
Lec.
Rajapaksha, P
false
false
false
10,476
2026-02-24T09:56:31.198000Z
2026-02-24T09:56:31.198000Z
Lec.
Sulem [et al.] // ACM Computing Surveys. – 2023. – Vol. 56. – № 2. 21
false
false
false
10,475
2026-02-24T09:56:29.213000Z
2026-02-24T09:56:29.213000Z
Lec.
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey / B
false
true
false
10,474
2026-02-24T09:56:27.325000Z
2026-02-24T09:56:27.325000Z
Lec.
Matsuo // Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. – 2021. – P. 4081-4090. 20
false
true
false
10,473
2026-02-24T09:56:25.318000Z
2026-02-24T09:56:25.318000Z
Lec.
Marrese-Taylor, Y
false
false
false
10,472
2026-02-24T09:56:23.897000Z
2026-02-24T09:56:23.897000Z
Lec.
Subformer: ExploringWeight Sharing for Parameter Efficiency in Generative Transformers / M
false
false
false
10,471
2026-02-24T09:56:21.973000Z
2026-02-24T09:56:21.973000Z
Lec.
Khan // VFAST Transactions on Software Engineering. – 2023. – Vol. 11. – № 3. – P. 62-72. 19
false
true
false
10,470
2026-02-24T09:56:20.061000Z
2026-02-24T09:56:20.061000Z
Lec.
Ali, Muhammad Sohail Khan, M
true
false
false
10,469
2026-02-24T09:56:18.513000Z
2026-02-24T09:56:18.513000Z
Lec.
Author Profiling from Short Romanized Urdu Messages: A Preliminary Investigation using Transfer Learning Models / A
false
false
false
10,468
2026-02-24T09:56:16.687000Z
2026-02-24T09:56:16.687000Z
Lec.
Unnikrishnan // Results in Engineering. – 2023. – Vol. 17. 18
false
true
false
10,467
2026-02-24T09:56:14.805000Z
2026-02-24T09:56:14.805000Z
Lec.
A comparison of chatbot platforms with the state-of-the-art sentence BERT for answering online student FAQs / K
false
true
false
10,466
2026-02-24T09:56:13.107000Z
2026-02-24T09:56:13.107000Z
Lec.
Skadiņš // Applied Sciences (Switzerland). – 2020. – Vol. 10. – № 21. – P. 1-21. 17
false
true
false
10,465
2026-02-24T09:56:11.159000Z
2026-02-24T09:56:11.159000Z
Lec.
Kapočiūtė-Dzikienė, K
true
false
false
10,464
2026-02-24T09:56:09.653000Z
2026-02-24T09:56:09.653000Z
Lec.
Intent detection problem solving via automatic DNN hyperparameter optimization / J
false
false
false
10,463
2026-02-24T09:56:07.628000Z
2026-02-24T09:56:07.628000Z
Lec.
Kapočiūtė-Dzikienė, J
true
false
false
10,462
2026-02-24T09:56:06.056000Z
2026-02-24T09:56:06.056000Z
Lec.
Cardiff // Inventions. – 2023. – Vol. 8. – № 5. 16
false
true
false
10,461
2026-02-24T09:56:04.160000Z
2026-02-24T09:56:04.160000Z
Lec.
Alexandrov, J
true
false
false
10,460
2026-02-24T09:56:02.634000Z
2026-02-24T09:56:02.634000Z
Lec.
Shushkevich, M
true
false
false
10,459
2026-02-24T09:56:01.145000Z
2026-02-24T09:56:01.145000Z
Lec.
Improving Multiclass Classification of Fake News Using BERT-Based Models and ChatGPT-Augmented Data / E
false
false
false
10,458
2026-02-24T09:55:59.110000Z
2026-02-24T09:55:59.110000Z
Lec.
Shushkevich, E
true
false
false
10,457
2026-02-24T09:55:57.538000Z
2026-02-24T09:55:57.538000Z
Lec.
Adams Dudley // Journal of Biomedical Informatics. – 2015. – Vol. 54. – P. 114-120. 15
false
true
false
10,456
2026-02-24T09:55:55.601000Z
2026-02-24T09:55:55.601000Z
Lec.
John Boscardin, R
true
true
false
10,455
2026-02-24T09:55:54.029000Z
2026-02-24T09:55:54.029000Z
Lec.
Marafino, W
false
false
false
10,454
2026-02-24T09:55:52.283000Z
2026-02-24T09:55:52.283000Z
Lec.
Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes / B
false
false
false
10,453
2026-02-24T09:55:50.138000Z
2026-02-24T09:55:50.138000Z
Lec.
Marafino, B
false
true
false
10,452
2026-02-24T09:55:48.555000Z
2026-02-24T09:55:48.555000Z
Lec.
Emani [et al.]. – 2023. 14
false
true
false
10,451
2026-02-24T09:55:46.727000Z
2026-02-24T09:55:46.727000Z
Lec.
Chitty-Venkata, S
false
true
false
10,450
2026-02-24T09:55:45.112000Z
2026-02-24T09:55:45.112000Z
Lec.
Vol. 144 / K
false
false
false
10,449
2026-02-24T09:55:43.520000Z
2026-02-24T09:55:43.520000Z
Lec.
A survey of techniques for optimizing transformer inference
false
true
false
10,448
2026-02-24T09:55:41.805000Z
2026-02-24T09:55:41.805000Z
Lec.
Abdelgawad // Algorithms. – 2022. – Vol. 15. – № 4. 13
false
true
false
10,447
2026-02-24T09:55:39.869000Z
2026-02-24T09:55:39.869000Z
Lec.
Yanambaka, A
false
false
false
10,446
2026-02-24T09:55:38.317000Z
2026-02-24T09:55:38.317000Z
Lec.
Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data / N
false
true
false
10,445
2026-02-24T09:55:36.630000Z
2026-02-24T09:55:36.630000Z
Lec.
Naorem // Multimedia Tools and Applications. – 2023. – Vol. 82. – № 1. – P. 945-968. 12
false
true
false
10,444
2026-02-24T09:55:34.749000Z
2026-02-24T09:55:34.749000Z
Lec.
Movie genre classification using binary relevance, label powerset, and machine learning classifiers / S
false
false
false
10,443
2026-02-24T09:55:32.806000Z
2026-02-24T09:55:32.806000Z
Lec.
MonkeyLearn. – URL: https://help.monkeylearn.com/en/ (date accessed: 09.05.2025). – Text : electronic. 11
false
true
false
10,442
2026-02-24T09:55:30.653000Z
2026-02-24T09:55:30.653000Z
Lec.
Henke // SN Computer Science. – 2023. – Vol. 4. – № 5. 10
false
true
false
10,441
2026-02-24T09:55:28.727000Z
2026-02-24T09:55:28.727000Z
Lec.
Golimblevskaia, M
true
false
false
10,440
2026-02-24T09:55:27.141000Z
2026-02-24T09:55:27.141000Z
Lec.
Ermakova, B
true
false
false
10,439
2026-02-24T09:55:25.495000Z
2026-02-24T09:55:25.495000Z
Lec.
A Comparison of Commercial Sentiment Analysis Services / T
false
true
false
10,438
2026-02-24T09:55:23.790000Z
2026-02-24T09:55:23.790000Z
Lec.
Toutanova // NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference. – 2019. – Vol. 1. – P. 4171-4186. 9
false
true
false
10,437
2026-02-24T09:55:21.866000Z
2026-02-24T09:55:21.866000Z
Lec.
BERT: Pre-training of deep bidirectional transformers for language understanding / J
false
true
false
10,436
2026-02-24T09:55:20.065000Z
2026-02-24T09:55:20.065000Z
Lec.
Lee [et al.] // RecSys 2021 - 15th ACM Conference on Recommender Systems. – 2021. 8
false
false
false
10,435
2026-02-24T09:55:18.249000Z
2026-02-24T09:55:18.249000Z
Lec.
Transformers4Rec: Bridging the Gap between NLP and sequential/session-based recommendation / G
false
true
false
10,434
2026-02-24T09:55:16.354000Z
2026-02-24T09:55:16.354000Z
Lec.
Zhang // Applied and Computational Engineering. – 2024. – Vol. 44. – № 1. – P. 56-67. 7
false
false
false
10,433
2026-02-24T09:55:14.504000Z
2026-02-24T09:55:14.504000Z
Lec.
The comparison and analysis of Skip-gram and CBOW in creating financial sentimental dictionary / X
false
true
false
10,432
2026-02-24T09:55:12.753000Z
2026-02-24T09:55:12.753000Z
Lec.
Soloveva // 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. – 2020. – P. 1055-1059. 6
false
true
false
10,431
2026-02-24T09:55:10.493000Z
2026-02-24T09:55:10.493000Z
Lec.
SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation / A
false
true
false
10,430
2026-02-24T09:55:08.542000Z
2026-02-24T09:55:08.542000Z
Lec.
Soloveva, A
true
false
false
10,429
2026-02-24T09:55:07.025000Z
2026-02-24T09:55:07.025000Z
Lec.
Micro, Macro & Weighted Averages of F1 Score, Clearly Explained. 5
false
true
false
10,428
2026-02-24T09:55:05.029000Z
2026-02-24T09:55:05.029000Z
Lec.
Cotterell // Transactions of the Association for Computational Linguistics. – 2020. – Vol. 8. – P. 795-809. 4
false
true
false
10,427
2026-02-24T09:55:02.691000Z
2026-02-24T09:55:02.691000Z
Lec.
Best-first beam search / C
false
true
false
10,426
2026-02-24T09:55:01.162000Z
2026-02-24T09:55:01.162000Z
Lec.
Text classification using transformer models / NewTechAudit. – 2022. – Vol. 9. – P. 356-363. 3
false
false
false
10,425
2026-02-24T09:54:59.052000Z
2026-02-24T09:54:59.052000Z
Lec.
NewTechAudit
false
false
false
10,424
2026-02-24T09:54:57.257000Z
2026-02-24T09:54:57.257000Z
Lec.
Wang [et al.] // Journal of Biomedical Informatics. – 2020. – Vol. 108. 2
false
true
false
10,423
2026-02-24T09:54:55.265000Z
2026-02-24T09:54:55.265000Z
Lec.
Adversarial active learning for the identification of medical concepts and annotation inconsistency / G
false
false
false
10,422
2026-02-24T09:54:53.230000Z
2026-02-24T09:54:53.230000Z
Lec.
Программа отвечает требованиям по качеству и скорости обработки текстов. 1
false
true
false
10,421
2026-02-24T09:54:51.432000Z
2026-02-24T09:54:51.432000Z
Lec.
Создано консольное приложение, которое может работать как с табличными текстами, так и с таблицами в формате excel
false
true
false
10,420
2026-02-24T09:54:49.684000Z
2026-02-24T09:54:49.684000Z
Lec.
Для третьего уровня был также проведен подбор всех гиперпараметров, проведена оценка различных характеристик текста на точность классификации
false
true
false
10,419
2026-02-24T09:54:48.112000Z
2026-02-24T09:54:48.112000Z
Lec.
Был проведено исследование влияния нормализованных токенов на результаты обучения, которые выявили незначительное ухудшение показателей f1
false
true
false
10,418
2026-02-24T09:54:46.349000Z
2026-02-24T09:54:46.349000Z
Lec.
Найдены наилучшие значения параметров оптимизатора AdamW для различных размеров выборки датасета на втором уровне
false
true
false
10,417
2026-02-24T09:54:44.681000Z
2026-02-24T09:54:44.681000Z
Lec.
Была решена проблема несбалансированности данных за счет использования степенной функции потерь с подбором коэффициентов
false
true
false
10,416
2026-02-24T09:54:43.043000Z
2026-02-24T09:54:43.043000Z
Lec.
Проведены эксперименты по различным способам обработки данных, в ходе которых выяснилось, что удаление чисел и преобразование формул улучшает результаты предсказаний
false
true
false
10,415
2026-02-24T09:54:41.298000Z
2026-02-24T09:54:41.298000Z
Lec.
Был подготовлен алгоритм подготовки данных, включающий в себя лемматизацию и очистку от паразитных слов
false
true
false
10,414
2026-02-24T09:54:39.485000Z
2026-02-24T09:54:39.485000Z
Lec.
Создана иерархическая архитектура для на основе моделей BERT и TF–IDF для поэтапной классификации всех уровней ГРНТИ
false
true
false
10,413
2026-02-24T09:54:37.825000Z
2026-02-24T09:54:37.825000Z
Lec.
В ходе проведенной работы был разработан классификатор русскоязычных научных статей по всем трем уровням ГРНТИ
false
true
false
10,412
2026-02-24T09:54:36.175000Z
2026-02-24T09:54:36.175000Z
Lec.
Анализировались их ключевые характеристики и параметры, а также исследовались подходы к решению задач классификации иерархически организованных данных
false
true
false
10,411
2026-02-24T09:54:34.404000Z
2026-02-24T09:54:34.404000Z
Lec.
В данном исследовании были изучены разные методы обработки естественного языка и модели машинного обучения, основанные на архитектуре трансформеров
false
true
false
10,410
2026-02-24T09:54:32.467000Z
2026-02-24T09:54:32.467000Z
Lec.
Результат применения программы для файла представлен на рисунке ниже
false
true
false
10,409
2026-02-24T09:54:30.041000Z
2026-02-24T09:54:30.041000Z
Lec.
Среднее время работы для одной строки составило 5.2 секунды
false
true
false
10,408
2026-02-24T09:54:28.330000Z
2026-02-24T09:54:28.330000Z
Lec.
Пример строки запуска программы:
false
true
false