Per Year

 @article{nnconstrained-applsci11,
    articleno = 11957,
    author = {Agiollo, Andrea and Omicini, Andrea},
    doi = {10.3390/app112411957},
    iris = {11585/842440},
    issn = {2076-3417},
    journal = {Applied Sciences},
    keywords = {Load Classification; Neural Networks; Embedding; Hyper-constrained Devices},
    month = dec,
    note = {Special Issue ``Artificial Intelligence and Data Engineering in Engineering Applications''},
    number = 24,
    publisher = {MDPI},
    scholar = {14515352047550375229},
    scopus = {2-s2.0-85121296114},
    title = {Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices},
    url = {https://www.mdpi.com/2076-3417/11/24/11957},
    url-openaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
    urlopenaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
    urlpdf = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
    volume = 11,
    wos = {000735509300001},
    year = 2021
} 

 @article{detonar-ieetnsm2021,
    author = {Agiollo, Andrea and Conti, Mauro and Kaliyar, Pallavi and Lin, TsungNan and Pajola, Luca},
    doi = {10.1109/TNSM.2021.3075496},
    ieee = {9415869},
    iris = {11585/842654},
    issn = {1932-4537},
    journal = {IEEE Transactions on Network and Service Management},
    keywords = {Internet of Things, Low Power and Lossy Networks, Routing Protocol, Networking attacks, Intrusion Detection System},
    number = 2,
    numpages = 13,
    pages = {1178 - 1190},
    publisher = {IEEE},
    title = {{DETONAR}: Detection of Routing Attacks in {RPL}-based {I}o{T}},
    url = {https://ieeexplore.ieee.org/document/9415869},
    urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9415869},
    volume = 18,
    wos = {000660636700006},
    year = 2021
}