Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Andrey Gritsenko"'
Autor:
Stratis Ioannidis, Andrey Gritsenko, Emmanuel Ojuba, Jennifer G. Dy, Zifeng Wang, Kunal Sankhe, Bruno Costa Rendon, Tong Jian, Nasim Soltani, Kaushik R. Chowdhury
Publikováno v:
IEEE Internet of Things Magazine. 3:50-57
RF fingerprinting is a key security mechanism that allows device identification by learning unchanging, hardware-based characteristics of the transmitter. In this article, we demonstrate how machine learning techniques impact RF fingerprinting by ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b50e731973ffb252c7f530dc1fc06e
https://doi.org/10.1109/iotm.0001.1900065
https://doi.org/10.1109/iotm.0001.1900065
Autor:
Andrey Gritsenko, Kimia Shayestehfard, Yuan Guo, Armin Moharrer, Jennifer Dy, Stratis Ioannidis
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50efe0ecbc32415f5d5375a5fa14bb5
https://doi.org/10.1109/icdm51629.2021.00024
https://doi.org/10.1109/icdm51629.2021.00024
Publikováno v:
Central Ukrainian Scientific Bulletin. Technical Sciences. :138-145
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70ec1ec0ea0256fd3ce62b0cc4c8197a
https://doi.org/10.32515/2664-262x.2019.1(32).138-145
https://doi.org/10.32515/2664-262x.2019.1(32).138-145
Autor:
Stratis Ioannidis, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Batool Salehi, Andrey Gritsenko
Publikováno v:
ICDM
We study an Open-World Class Discovery problem in which, given labeled training samples from old classes, we need to discover new classes from unlabeled test samples. There are two critical challenges to addressing this paradigm: (a) transferring kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689d3ecba4e2e143a712611ae45ad4ab
http://arxiv.org/abs/2012.06957
http://arxiv.org/abs/2012.06957
Publikováno v:
ISBI
Twin study is one of the major parts of human brain research that reveals the importance of environmental and genetic influences on different aspects of brain behavior and disorders. Accurate characterization of identical and fraternal twins allows u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d969e8e51c86c2abc6308160fa0437
https://doi.org/10.1109/isbi45749.2020.9098604
https://doi.org/10.1109/isbi45749.2020.9098604
Publikováno v:
Eastern-European Journal of Enterprise Technologies. 5:13-19
The main task of the mining industry is to improve the efficiency of extraction and processing of iron ore. One of the main factors contributing to solving the task is determining the content of iron in the ore body at the initial stage of production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ac645446d167b30f32272ee270d11b
https://doi.org/10.15587/1729-4061.2018.144003
https://doi.org/10.15587/1729-4061.2018.144003
Publikováno v:
Cognitive Computation. 10:464-477
The current paper presents an improvement of the Extreme Learning Machines for VISualization (ELMVIS+) nonlinear dimensionality reduction method. In this improved method, called ELMVIS+R, it is proposed to apply the originally unsupervised ELMVIS+ me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58e2f7b439c3b1c566547dfbd4bbb7ce
https://doi.org/10.1007/s12559-017-9537-6
https://doi.org/10.1007/s12559-017-9537-6
Autor:
Rui Nian, Anton Akusok, Paula Lauren, Amaury Lendasse, Yoan Miche, Andrey Gritsenko, Kaj-Mikael Björk
Publikováno v:
Neurocomputing. 219:232-241
This paper proposes a way of providing transparent and interpretable results for ELM models by adding confidence intervals to the predicted outputs. In supervised learning, outputs are often random variables because they may depend on information tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::147efeb9b81934033abd85fc9e45a2e6
https://doi.org/10.1016/j.neucom.2016.09.021
https://doi.org/10.1016/j.neucom.2016.09.021
Publikováno v:
ISBI
A cycle in a graph is a subset of a connected component with redundant additional connections. If there are many cycles in a connected component, the connected component is more densely connected. While the number of connected components represents t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47bd48e05b5fc3896f7473148e963e40
https://pubmed.ncbi.nlm.nih.gov/31687091
https://pubmed.ncbi.nlm.nih.gov/31687091
Autor:
Stratis Ioannidis, Jennifer G. Dy, Kaushik R. Chowdhury, Zifeng Wang, Tong Jian, Andrey Gritsenko
Publikováno v:
DySPAN
Radio frequency fingerprinting enhances security and privacy of wireless networks and communications by learning and extracting unique characteristics embedded in transmitted signals. Deep learning-based approaches learn radio fingerprints without ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67525c586d78dbbcbc421d5c3199bfdc
https://doi.org/10.1109/dyspan.2019.8935862
https://doi.org/10.1109/dyspan.2019.8935862