Per Year

 @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
}