Per Year

3 publications with ACM ID  /  2024
@inproceedings{masconcurrency-aamas2024,
   acm = {3663089},
   author = {Baiardi, Martina and Burattini, Samuele and Ciatto, Giovanni and Pianini, Danilo and Ricci, Alessandro and Omicini, Andrea},
   booktitle = {AAMAS'24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems},
   dblp = {conf/atal/BaiardiBCPOR24},
   iris = {11585/973178},
   isbn = {979-8-4007-0486-4},
   keywords = {Agent-Oriented Programming; Concurrency; BDI Agents; Threads},
   month = may,
   note = {Extended abstract},
   numpages = 3,
   pages = {2147--2149},
   publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
   scholar = {4738339792803409504},
   scopus = {2-s2.0-85196388369},
   title = {Concurrency Model of {BDI} Programming Frameworks: Why Should We Control It?},
   url = {https://dl.acm.org/doi/10.5555/3635637.3663089},
   urlopenaccess = {https://arxiv.org/abs/2404.10421},
   urlpdf = {https://dl.acm.org/doi/pdf/10.5555/3635637.3663089},
   year = 2024
}
@article{skeislr-csur56,
   acm = {3645103},
   articleno = 161,
   author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
   dblp = {journals/csur/CiattoSAMO24},
   doi = {10.1145/3645103},
   eissn = {1557-734},
   iris = {11585/969235},
   issn = {0360-0300},
   journal = {ACM Computing Surveys},
   keywords = {Logic; Machine learning theory; Hybrid symbolic-numeric methods; Knowledge representation and reasoning},
   month = jun,
   number = 6,
   numpages = 35,
   pages = {161:1--161:35},
   publisher = {ACM},
   scholar = {13701373869146776438},
   scopus = {2-s2.0-85188835517},
   semanticscholar = {267611660},
   title = {Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review},
   url = {https://dl.acm.org/doi/10.1145/3645103},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   volume = 56,
   wos = {WOS:001208566200027},
   year = 2024
}
@inproceedings{samis-kdd2024,
   acm = {3671985},
   author = {Agiollo, Andrea and Young In Kim and Khanna, Rajiv},
   dblp = {conf/kdd/AgiolloKK24},
   doi = {10.1145/3637528.3671985},
   journal = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25–29, 2024, Barcelona, Spain},
   keywords = {Neural Networks, Data-efficient Learning, Memorization, Flatness},
   month = aug,
   numpages = 12,
   pages = {17--28},
   publisher = {ACM},
   scholar = {8151925308990231563},
   title = {Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization},
   url = {https://dl.acm.org/doi/10.1145/3637528.3671985},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   year = 2024
}
3 publications in 2024 with ACM ID • topindexbottom

publications with ACM ID  /  2024  /  personal
Andrea Agiollo  •  Roberta Calegari  •  Giovanni Ciatto  •  Cristian Cosci  •  Angelo Croatti  •  Enrico Denti  •  Matteo Magnini  •  Sara Montagna  •  Andrea Omicini  •  Giuseppe Pisano  •  Andrea Rafanelli  •  Federico Sabbatini