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of 288
pro vyhledávání: '"Engelbert Mephu"'
Autor:
Sk Imran Hossain, Sudipta Singha Roy, Jocelyn De Goër De Herve, Robert E. Mercer, Engelbert Mephu Nguifo
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109249- (2023)
Occlusion of skin lesions in dermoscopic images due to hair affects the performance of computer-assisted lesion analysis algorithms. Lesion analysis can benefit from digital hair removal or realistic hair simulation techniques. To assist in that proc
Externí odkaz:
https://doaj.org/article/46bdae9281154f449aa32f06f14388f4
Understanding the facial expressions of our interlocutor is important to enrich the communication and to give it a depth that goes beyond the explicitly expressed. In fact, studying one's facial expression gives insight into their hidden emotion stat
Externí odkaz:
http://arxiv.org/abs/2212.03102
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics. Today, machine learning tools are used to help achieving these goals by analyzing transie
Externí odkaz:
http://arxiv.org/abs/2210.00869
Autor:
Hossain, Sk Imran, de Herve, Jocelyn de Goër, Abrial, David, Emillion, Richard, Lebertb, Isabelle, Frendo, Yann, Martineau, Delphine, Lesens, Olivier, Nguifo, Engelbert Mephu
Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease using deep learning techniques can be effective to prevent long-term complications. Existing works on deep learning based EM recognition only utilizes lesion
Externí odkaz:
http://arxiv.org/abs/2208.14384
Publikováno v:
2020 IEEE International Conference on Data Mining Workshops (ICDMW)
Time series classification is a task that aims at classifying chronological data. It is used in a diverse range of domains such as meteorology, medicine and physics. In the last decade, many algorithms have been built to perform this task with very a
Externí odkaz:
http://arxiv.org/abs/2102.02090
The gradual patterns that model the complex co-variations of attributes of the form "The more/less X, The more/less Y" play a crucial role in many real world applications where the amount of numerical data to manage is important, this is the biologic
Externí odkaz:
http://arxiv.org/abs/2005.11045
Time serie classification is used in a diverse range of domain such as meteorology, medicine and physics. It aims to classify chronological data. Many accurate approaches have been built during the last decade and shapelet transformation is one of th
Externí odkaz:
http://arxiv.org/abs/1912.08919
In this paper, we propose a constraint-based modeling approach for the problem of discovering frequent gradual patterns in a numerical dataset. This SAT-based declarative approach offers an additional possibility to benefit from the recent progress i
Externí odkaz:
http://arxiv.org/abs/1903.08452
Akademický článek
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Publikováno v:
In Procedia Computer Science 2023 225:1104-1113