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pro vyhledávání: '"Nikolov Nikola"'
Recent efforts to understand intermediate representations in deep neural networks have commonly attempted to label individual neurons and combinations of neurons that make up linear directions in the latent space by examining extremal neuron activati
Externí odkaz:
http://arxiv.org/abs/2411.10019
Autor:
Nikolov Nikola, Alexandrova Mariela, Ubaydullayeva Shakhnoza, Gaziyeva Rano, Zulfiya Khafizova, Ubaydullayeva Dilorom
Publikováno v:
E3S Web of Conferences, Vol 401, p 04003 (2023)
When the input signal and the output value of the object of control cannot be measured accurately, the state vector is estimated. The instrumental variables (IVs) method is a commonly used parameter estimation method [1-10]. The task of adaptive obse
Externí odkaz:
https://doaj.org/article/d5b6953c4c2c4ca099eea18e32294d57
Autor:
McGiff, Josh, Nikolov, Nikola S.
Our study addresses a significant gap in online hate speech detection research by focusing on homophobia, an area often neglected in sentiment analysis research. Utilising advanced sentiment analysis models, particularly BERT, and traditional machine
Externí odkaz:
http://arxiv.org/abs/2405.09221
Out-of-distribution data and anomalous inputs are vulnerabilities of machine learning systems today, often causing systems to make incorrect predictions. The diverse range of data on which these models are used makes detecting atypical inputs a diffi
Externí odkaz:
http://arxiv.org/abs/2403.15497
Autor:
Denchev Zhivko, Nikolov Nikola
Publikováno v:
Open Chemistry, Vol 2, Iss 3, Pp 480-490 (2004)
Externí odkaz:
https://doaj.org/article/14b27e8d6101444cbf74855d7724e0b0
Autor:
Karargyris, Alexandros, Umeton, Renato, Sheller, Micah J., Aristizabal, Alejandro, George, Johnu, Bala, Srini, Beutel, Daniel J., Bittorf, Victor, Chaudhari, Akshay, Chowdhury, Alexander, Coleman, Cody, Desinghu, Bala, Diamos, Gregory, Dutta, Debo, Feddema, Diane, Fursin, Grigori, Guo, Junyi, Huang, Xinyuan, Kanter, David, Kashyap, Satyananda, Lane, Nicholas, Mallick, Indranil, Mascagni, Pietro, Mehta, Virendra, Natarajan, Vivek, Nikolov, Nikola, Padoy, Nicolas, Pekhimenko, Gennady, Reddi, Vijay Janapa, Reina, G Anthony, Ribalta, Pablo, Rosenthal, Jacob, Singh, Abhishek, Thiagarajan, Jayaraman J., Wuest, Anna, Xenochristou, Maria, Xu, Daguang, Yadav, Poonam, Rosenthal, Michael, Loda, Massimo, Johnson, Jason M., Mattson, Peter
Medical AI has tremendous potential to advance healthcare by supporting the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving provider and patient experience. We argue that unlocking this potential re
Externí odkaz:
http://arxiv.org/abs/2110.01406
Collaborative filtering (CF) has achieved great success in the field of recommender systems. In recent years, many novel CF models, particularly those based on deep learning or graph techniques, have been proposed for a variety of recommendation task
Externí odkaz:
http://arxiv.org/abs/2102.07601
Publikováno v:
In Intelligent Systems with Applications March 2024 21
Each claim in a research paper requires all relevant prior knowledge to be discovered, assimilated, and appropriately cited. However, despite the availability of powerful search engines and sophisticated text editing software, discovering relevant pa
Externí odkaz:
http://arxiv.org/abs/2005.04961
We explore the suitability of self-attention models for character-level neural machine translation. We test the standard transformer model, as well as a novel variant in which the encoder block combines information from nearby characters using convol
Externí odkaz:
http://arxiv.org/abs/2004.14788