Videos / MM'20: Proceedings of the 28th ACM International Conference on Multimedia, October 2020, pp. 493—502 // https://doi.org/10.1145/3394171.3413909

2481

Poria S., Hazarika D., Majumder N., Naik G., Cambria E., Mihalcea R. (2018). MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations // https://arxiv.org/abs/1810.02508

2482

Zahiri S. M., Choi J. D. (2017). Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks // https://arxiv.org/abs/1708.04299

2483

Firdaus M., Chauhan H., Ekbal A., Bhattacharyya P. (2020). MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations // https://aclanthology.org/2020.coling-main.393.pdf

2484

Zadeh A. B., Liang P. P., Poria S., Cambria E., Morency L.-P. (2018). Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph // https://aclanthology.org/P18-1208/

2485

Zadeh A., Zellers R., Pincus E., Morency L.-P. (2016). MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos // https://arxiv.org/abs/1606.06259

2486

Demszky D., Movshovitz-Attias D., Ko J., Cowen A., Nemade G., Ravi S. (2020). GoEmotions: A Dataset of Fine-Grained Emotions // https://arxiv.org/abs/2005.00547

2487

Katsigiannis S., Ramzan N. (2018). DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals from Wireless Low-cost Off-the-Shelf Devices // IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 1, pp. 98—107, January 2018 // https://doi.org/10.1109/JBHI.2017.2688239

2488

Subramanian R., Wache J., Abadi M. K., Vieriu R. L., Winkler S., Sebe N. (2018). ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors / IEEE Transactions on Affective Computing, Vol. 9, No. 2, pp. 147—160, 1 April—June 2018 // https://doi.org/10.1109/TAFFC.2016.2625250

2489

Park C. Y., Cha N., Kang S., Kim A., Khandoker A. H., Hadjileontiadis L., Oh A., Jeong Y., Lee U. (2020). K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations / Scientific Data, Vol. 7, Iss. 293 // https://doi.org/10.1038/s41597-020-00630-y

2490

Issa D., Fatih Demirci M., Yazici A. (2020). Speech emotion recognition with deep convolutional neural networks / Biomedical Signal Processing and Control, Vol. 59 // https://doi.org/10.1016/j.bspc.2020.101894

2491

Euler L. (1739). Tentamen novae theoriae musicae ex certissismis harmoniae principiis dilucide expositae (in Latin) / Saint Petersburg Academy, p. 147.

2492

Harte C., Sandler M., Gasser M. (2006). Detecting Harmonic Change In Musical Audio / AMCMM '06: Proceedings of the 1st ACM workshop on Audio and music computing multimedia, October 2006, pp. 21—26 // https://doi.org/10.1145/1178723.1178727

2493

Jiang D.-N., Lu L., Zhang H.-J., Tao J.-H., Cai L.-H. (2002). Music type classification by spectral contrast feature / Proceedings of the IEEE International Conference on Multimedia and Expo // https://doi.org/10.1109/ICME.2002.1035731

2494

Sterling G., Kazimirova E. (2019). End-to-end Emotion Recognition From Speech With Deep Frame Embeddings And Neutral Speech Handling / FICC 2019: Advances in Information and Communication, pp. 1123-1135 // https://doi.org/10.1007/978-3-030-12385-7_76

2495

Yoon S., Byun S., Jung K. (2018). Multimodal speech emotion recognition using audio and text // https://paperswithcode.com/paper/multimodal-speech-emotion-recognition-using

2496

Chernykh V., Prikhodko P. (2018). Emotion Recognition From Speech With Recurrent Neural Networks // https://arxiv.org/abs/1701.08071

2497

Gardner M. (1958). Logic Machines and Diagrams. McGraw-Hill // https://books.google.ru/books?id=oCu-yAEACAAJ

2498

Борхес Х. Л. (1992). Вавилонская библиотека / Коллекция (Сборник рассказов). Перевод: В. Кулагина-Ярцева. СПб, «Северо-Запад», 1992 // http://www.lib.ru/BORHES/kniga.txt

2499

The Library of Babel. Digital Access to the Books of the Library. Full Text Search in the Books // https://dicelog.com/babel

2500

https://libraryofbabel.info

2501

Максимал из Сиджеко (2016). Библиотека Гагарина // https://gagarin.sijeko.ru

2502

Adult Swim UK (2018). Encyclopedia of Numbers | Tim and Eric Awesome Show, Great Job! | Adult Swim / YouTube, Jul 25, 2018 // https://www.youtube.com/watch?v=rVtHrgdcvZA

2503

Cole S. (2020). Musicians Algorithmically Generate Every Possible Melody, Release Them to Public Domain. / Vice, February 25, 2020 // https://www.vice.com/en/article/wxepzw/musicians-algorithmically-generate-every-possible-melody-release-them-to-public-domain

2504

Koivisto M., Grassini S. (2023). Best humans still outperform artificial intelligence in a creative divergent thinking task. / Scientific Reports, Vol. 13 (13601) // https://doi.org/10.1038/s41598-023-40858-3

2505

Markaty (2023). ИИ справился с тестом на креативность лучше людей; но это не значит, что он обладает творческими способностями. / Habr, 18 сентября 2023. // https://habr.com/ru/news/761806/

2506

Бирюков Б. В., Гутчин И. Б. (1982). Машина и творчество. — М.: Радио и связь // http://informaticslib.ru/books/item/f00/s00/z0000024/st018.shtml

2507

Ройзман М. (1973). Всё, что помню о Есенине. Советская Россия // https://books.google.ru/books?id=e9AjAAAAMAAJ

2508

Ильф И., Петров Е. (2020). Золотой телёнок / Litres // https://books.google.ru/books?id=lLdKDwAAQBAJ

2509

Марков А. А. (1913). Пример статистического исследования над текстом «Евгения Онегина», иллюстрирующий связь испытаний в цепь / Известия Императорской академии наук, Серия 6. — СПб. Т. 7, вып. 3. С. 153—162 // http://books.e-heritage.ru/book/10086570

2510

Link D. (2009). LoveLetters_1.0. MUC=Resurrection. A Memorial // http://www.alpha60.de/art/love_letters/

2511

https://github.com/gingerbeardman/loveletter

2512

Дьюдни А. К. (1989). Компьютер пробует свои силы в прозе и поэзии / В мире науки. 8 августа.

2513

Smith J. (1988). Byting Rhymes: A Sensitive Soul Decries the Idea of Poetry ‘Penned’ by a Computer / Los Angeles Times, Aug. 21, 1988 // https://www.latimes.com/archives/la-xpm-1988-08-21-tm-1294-story.html

2514

Thompson C. (2003). Automatic poetry pt. 2 / collision detection // http://www.collisiondetection.net/mt/archives/2003/05/automatic_poetr.php

2515

Яндекс.Автопоэт (2014). Как позвонить в сбербанк россии… //