Per Year
@inproceedings{gnnforifa-eurosp2023,
address = {Los Alamitos, CA, USA},
author = {Agiollo, Andrea and Bardhi, Enkeleda and Conti, Mauro and Lazzeretti, Riccardo and Losiouk, Eleonora and Omicini, Andrea},
booktitle = {2023 IEEE 8th European Symposium on Security and Privacy (EuroS\&P)},
dblp = {conf/eurosp/AgiolloBCLLO23},
doi = {10.1109/EuroSP57164.2023.00043},
ieee = {10190497},
iris = {11585/935157},
isbn = {978-1-6654-6512-0},
location = {Delft, Netherlands},
month = jul,
numpages = 16,
organization = {IEEE Computer Society},
pages = {615--630},
publisher = {IEEE Computer Society},
scholar = {17982957357366969368},
scopus = {2-s2.0-85168119525},
title = {{GNN4IFA}: Interest Flooding Attack Detection With Graph Neural Networks},
url = {https://www.computer.org/csdl/proceedings-article/eurosp/2023/651200a615},
urlpdf = {https://csdl-downloads.ieeecomputer.org/proceedings/eurosp/2023/6512/00/651200a615.pdf},
wos = {WOS:001046858400034},
year = 2023
}
address = {Los Alamitos, CA, USA},
author = {Agiollo, Andrea and Bardhi, Enkeleda and Conti, Mauro and Lazzeretti, Riccardo and Losiouk, Eleonora and Omicini, Andrea},
booktitle = {2023 IEEE 8th European Symposium on Security and Privacy (EuroS\&P)},
dblp = {conf/eurosp/AgiolloBCLLO23},
doi = {10.1109/EuroSP57164.2023.00043},
ieee = {10190497},
iris = {11585/935157},
isbn = {978-1-6654-6512-0},
location = {Delft, Netherlands},
month = jul,
numpages = 16,
organization = {IEEE Computer Society},
pages = {615--630},
publisher = {IEEE Computer Society},
scholar = {17982957357366969368},
scopus = {2-s2.0-85168119525},
title = {{GNN4IFA}: Interest Flooding Attack Detection With Graph Neural Networks},
url = {https://www.computer.org/csdl/proceedings-article/eurosp/2023/651200a615},
urlpdf = {https://csdl-downloads.ieeecomputer.org/proceedings/eurosp/2023/6512/00/651200a615.pdf},
wos = {WOS:001046858400034},
year = 2023
}
@article{skiqos-jaamas37,
articleno = 27,
author = {Agiollo, Andrea and Rafanelli, Andrea and Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
dblp = {journals/aamas/AgiolloRMCO23},
doi = {10.1007/s10458-023-09609-6},
iris = {11585/932553},
issn = {1573-7454},
journal = {Autonomous Agents and Multi-Agent Systems},
keywords = {symbolic knowledge injection, quality of service, efficiency, robustness, PSyKI},
month = jun,
number = 2,
numpages = 30,
pages = {27:1-27:30},
scholar = {6493335879803556297},
scopus = {2-s2.0-85162972232},
semanticscholar = {259234850},
title = {Symbolic Knowledge Injection meets Intelligent Agents: {QoS} metrics and experiments},
url = {https://link.springer.com/10.1007/s10458-023-09609-6},
volume = 37,
wos = {WOS:001013184000001},
year = 2023
}
articleno = 27,
author = {Agiollo, Andrea and Rafanelli, Andrea and Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
dblp = {journals/aamas/AgiolloRMCO23},
doi = {10.1007/s10458-023-09609-6},
iris = {11585/932553},
issn = {1573-7454},
journal = {Autonomous Agents and Multi-Agent Systems},
keywords = {symbolic knowledge injection, quality of service, efficiency, robustness, PSyKI},
month = jun,
number = 2,
numpages = 30,
pages = {27:1-27:30},
scholar = {6493335879803556297},
scopus = {2-s2.0-85162972232},
semanticscholar = {259234850},
title = {Symbolic Knowledge Injection meets Intelligent Agents: {QoS} metrics and experiments},
url = {https://link.springer.com/10.1007/s10458-023-09609-6},
volume = 37,
wos = {WOS:001013184000001},
year = 2023
}
@inproceedings{gnn2gnn-uai2022,
author = {Agiollo, Andrea and Omicini, Andrea},
booktitle = {Uncertainty in Artificial Intelligence},
dblp = {conf/uai/AgiolloO22},
editor = {Cussens, James and Zhang, Kun},
iris = {11585/899465},
issn = {2640-3498},
keywords = {Graph Neural Networks, Neural Architecture Search, Generative Adversarial Networks},
month = aug,
note = {Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands},
numpages = 11,
pages = {32--42},
publisher = {ML Research Press},
scholar = {3643983533846865361},
scopus = {2-s2.0-85163345190},
series = {Proceedings of Machine Learning Research},
title = {{GNN2GNN}: Graph Neural Networks to Generate Neural Networks},
url = {https://proceedings.mlr.press/v180/agiollo22a.html},
urlopenaccess = {https://proceedings.mlr.press/v180/agiollo22a/agiollo22a.pdf},
volume = 180,
wos = {WOS:001228408900004},
year = 2022
}
author = {Agiollo, Andrea and Omicini, Andrea},
booktitle = {Uncertainty in Artificial Intelligence},
dblp = {conf/uai/AgiolloO22},
editor = {Cussens, James and Zhang, Kun},
iris = {11585/899465},
issn = {2640-3498},
keywords = {Graph Neural Networks, Neural Architecture Search, Generative Adversarial Networks},
month = aug,
note = {Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands},
numpages = 11,
pages = {32--42},
publisher = {ML Research Press},
scholar = {3643983533846865361},
scopus = {2-s2.0-85163345190},
series = {Proceedings of Machine Learning Research},
title = {{GNN2GNN}: Graph Neural Networks to Generate Neural Networks},
url = {https://proceedings.mlr.press/v180/agiollo22a.html},
urlopenaccess = {https://proceedings.mlr.press/v180/agiollo22a/agiollo22a.pdf},
volume = 180,
wos = {WOS:001228408900004},
year = 2022
}
@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
}
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
}
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
}
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{rgbdsemanticsegmentation-icdsc2019,
articleno = 9,
author = {Michieli, Umberto and Camporese, Maria and Agiollo, Andrea and Pagnutti, Giampaolo and Zanuttigh, Pietro},
booktitle = {13th International Conference on Distributed Smart Cameras (ICDSC2019)},
dblp = {conf/icdsc/MichieliCAPZ19},
doi = {10.1145/3349801.3349810},
editor = {Conci, Nicola and Shan, Caifeng and Marcenaro, Lucio and Han, Jungong},
iris = {11585/842656},
isbn = {978-1-4503-7189-6},
location = {Trento, Italy},
month = {9--11~} # sep,
numpages = 6,
pages = {9:1--9:6},
publisher = {{ACM}},
title = {Region Merging Driven by Deep Learning for {RGB-D} Segmentation and Labeling},
url = {https://doi.org/10.1145/3349801.3349810},
wos = {000519116500009},
year = 2019
}
articleno = 9,
author = {Michieli, Umberto and Camporese, Maria and Agiollo, Andrea and Pagnutti, Giampaolo and Zanuttigh, Pietro},
booktitle = {13th International Conference on Distributed Smart Cameras (ICDSC2019)},
dblp = {conf/icdsc/MichieliCAPZ19},
doi = {10.1145/3349801.3349810},
editor = {Conci, Nicola and Shan, Caifeng and Marcenaro, Lucio and Han, Jungong},
iris = {11585/842656},
isbn = {978-1-4503-7189-6},
location = {Trento, Italy},
month = {9--11~} # sep,
numpages = 6,
pages = {9:1--9:6},
publisher = {{ACM}},
title = {Region Merging Driven by Deep Learning for {RGB-D} Segmentation and Labeling},
url = {https://doi.org/10.1145/3349801.3349810},
wos = {000519116500009},
year = 2019
}