Per Year

 @incollection{shallow2deep-extraamas2021,
    address = {Cham, Switzerland},
    author = {Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3--7, 2021, Revised Selected Papers},
    dblp = {conf/atal/AgiolloCO21},
    doi = {10.1007/978-3-030-82017-6_5},
    editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Fr{\"a}mling, Kary},
    eisbn = {978-3-030-82017-6},
    eissn = {1611-3349},
    iris = {11585/838540},
    isbn = {978-3-030-82016-9},
    issn = {0302-9743},
    keywords = {Neural Architecture Search; Evolutionary Algorithm; Opacity; Interpretability},
    numpages = 20,
    pages = {63--82},
    publisher = {Springer},
    scholar = {8606811357246615623},
    scopus = {2-s2.0-85113325735},
    semanticscholar = {236460263},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    title = {{\it Shallow2Deep}: Restraining Neural Networks Opacity through Neural Architecture Search},
    url = {http://link.springer.com/10.1007/978-3-030-82017-6_5},
    volume = 12688,
    wos = {000691781800005},
    year = 2021
} 

 @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
} 

 @inproceedings{gnn-woa2021,
    articleno = 8,
    author = {Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {WOA 2021 -- 22nd Workshop ``From Objects to Agents''},
    dblp = {conf/woa/AgiolloCO21},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Denti, Enrico and Omicini, Andrea and Sartor, Giovanni},
    iris = {11585/834362},
    issn = {1613-0073},
    keywords = {Graph Neural Networks, Machine Learning, Embedding, Computational Logic},
    location = {Bologna, Italy},
    month = oct,
    note = {22nd Workshop ``From Objects to Agents'' (WOA 2021), Bologna, Italy, 1--3~} # sep # {~2021. Proceedings},
    numpages = 18,
    pages = {98--115},
    publisher = {Sun SITE Central Europe, RWTH Aachen University},
    scholar = {817372786663443317},
    scopus = {2-s2.0-85116916925},
    semanticscholar = {238360605},
    series = {CEUR Workshop Proceedings},
    subseries = {AI*IA Series},
    title = {Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap},
    url = {http://ceur-ws.org/Vol-2963/paper18.pdf},
    volume = 2963,
    year = 2021
}