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Приобретение и представление знаний для рекомендательных систем

Приоритетные направления развития: компьютерно-математическое
2019

Публикации по проекту:


Makarov I., Gerasimova O. Predicting Collaborations in Co-authorship Network, in: Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization. NY : IEEE, 2019. P. 1-6. doi
Kodryan M., Grachev A., Ignatov D. I., Vetrov D. Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks, in: Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) Issue W19-43. Florence, Italy: Association for Computational Linguistics, 2019. P. 40-48. doi
Ignatov D. I., Egurnov D. Triclustring Toolbox, in: Supplementary Proceedings ICFCA 2019 Conference and Workshops Vol. 2378. CEUR Workshop Proceedings, 2019. P. 65-69.
Ignatov D. I., Egurnov D., Точилкин Д. С. Multimodal Clustering of Boolean Tensors on MapReduce: Experiments Revisited, in: Supplementary Proceedings ICFCA 2019 Conference and Workshops Vol. 2378. CEUR Workshop Proceedings, 2019. P. 137-151.
Galitsky B., Ilvovsky D. On the End-to-End Argument Validation System based on Communicative Discourse Trees, in: Proceedings of the 19th Workshop on Computational Models of Natural Argument (CMNA 2019) co-located with the 14th International Conference on Persuasive Technology (PERSUASIVE 2019). CEUR Workshop Proceedings, 2019. P. 5-16.
Makarov I., Dmitrii Maslov, Gerasimova O., Vladimir Aliev, Alisa Korinevskaya, Sharma U., Wang H. On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss, in: Proceedings of 27th ACM International Conference on Multimedia. NY : ACM, 2019. P. 1080-1084. doi
Makhalova T., Galitsky B., Ilvovsky D. Information Retrieval Chatbots Based on Conceptual Models, in: International Conference on Conceptual Structures Vol. 11530. Springer, 2019. doi P. 230-238. doi
Korepanova N., Seibold H., Steffen V., Hothorn T. Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival // Statistical Methods in Medical Research. 2019
Gerasimova O., Makarov I. Higher School of Economics Co-Authorship Network Study, in: Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS). NY : IEEE, 2019. P. 1-4. doi
Galitsky B., Ilvovsky D., Goncharova E. On a Chatbot Providing Virtual Dialogues, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 382-387.
Galitsky B., Ilvovsky D. Two Discourse Tree-Based Approaches to Indexing Answers, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 367-373.
Ilvovsky D., Galitsky B. Discourse-Based Approach to Involvement of Background Knowledge for Question Answering, in: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. INCOMA Ltd, 2019. P. 373-381.
Kuznetsov S. The logic of action lattices is undecidable, in: 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2019). IEEE, 2019. Ch. 36. P. 1-9. doi
Gerasimova O., Makarov I. Link Prediction Regression for Weighted Co-authorship Networks, in: Advances in Computational Intelligence. IWANN 2019. Berlin : Springer, 2019. doi P. 667-677. doi
Maksimenkova O. V., Neznanov A., Radchenko I. Using Data Expedition as a Formative Assessment Tool in Data Science Education: Reasoning, Justification, and Evaluation // International Journal of Emerging Technologies in Learning. 2019. Vol. 14. No. 11. P. 107-122. doi

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