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
}