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
}
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
}
@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
}
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
}