Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Lenskiy A"'
Autor:
Xiang, Xintao, Lenskiy, Artem
Many existing methods of counterfactual explanations ignore the intrinsic relationships between data attributes and thus fail to generate realistic counterfactuals. Moreover, the existing models that account for relationships require domain knowledge
Externí odkaz:
http://arxiv.org/abs/2202.07356
Reconstruction-based approaches to anomaly detection tend to fall short when applied to complex datasets with target classes that possess high inter-class variance. Similar to the idea of self-taught learning used in transfer learning, many domains a
Externí odkaz:
http://arxiv.org/abs/2110.13101
Autor:
Weng, Haotian, Lenskiy, Artem
Algorithmic trading has proliferated the area of quantitative finance for already over a decade. The decisions are made without human intervention using the data provided by brokerage firms and exchanges. There is an emerging intermediate layer of fi
Externí odkaz:
http://arxiv.org/abs/2004.11527
Publikováno v:
In Biomedical Signal Processing and Control January 2023 79 Part 1
Autor:
Lenskiy, Artem, Paprocki, Rafal
It has been shown that blinks occur not only to moisturize eyes and as a defensive response to the environment, but are also caused by mental processes. In this paper, we investigate statistical characteristics of blinks and blink rate variability of
Externí odkaz:
http://arxiv.org/abs/1605.02037
Autor:
Lenskiy, Artem A., Lee, Jong-Soo
The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention. However, until now, the use of textural information has been somewhat less effective than color or laser ra
Externí odkaz:
http://arxiv.org/abs/1604.02485
Autor:
Lenskiy, Artem
Computer vision has become a major source of information for autonomous navigation of robots of various types, self-driving cars, military robots and mars/lunar rovers are some examples. Nevertheless, the majority of methods focus on analysing images
Externí odkaz:
http://arxiv.org/abs/1604.02469
Autor:
Makita, Eric, Lenskiy, Artem
Movie ratings play an important role both in determining the likelihood of a potential viewer to watch the movie and in reflecting the current viewer satisfaction with the movie. They are available in several sources like the television guide, best-s
Externí odkaz:
http://arxiv.org/abs/1604.08608
Autor:
Makita, Eric, Lenskiy, Artem
This paper proposes a movie genre-prediction based on multinomial probability model. To the best of our knowledge, this problem has not been addressed yet in the field of recommender system. The prediction of a movie genre has many practical applicat
Externí odkaz:
http://arxiv.org/abs/1603.07849
In this paper we investigated how statistical properties of the blink rate variability changes during two mental tasks: reading a passage and memory testing. To construct time series of inter-blink intervals (blink rate variability) we detected exact
Externí odkaz:
http://arxiv.org/abs/1603.04173