Daniele Apiletti
Orcid: 0000-0003-0538-9775
According to our database1,
Daniele Apiletti
authored at least 53 papers
between 2006 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
Explaining deep convolutional models by measuring the influence of interpretable features in image classification.
Data Min. Knowl. Discov., September, 2024
Hermes, a low-latency transactional storage for binary data streams from remote devices.
Data Knowl. Eng., 2024
CoRR, 2024
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time.
CoRR, 2024
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024
2023
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Knowl. Inf. Syst., 2022
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the New Trends in Database and Information Systems, 2022
2021
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes.
Expert Syst. Appl., 2021
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features.
CoRR, 2021
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations.
Int. J. Multim. Inf. Retr., 2020
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis.
Computing, 2020
IEEE Access, 2020
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
CoRR, 2019
Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2019
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
2018
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018
2017
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Big Data Res., 2017
2016
IEEE Trans. Netw. Serv. Manag., 2016
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
Proceedings of the New Trends in Databases and Information Systems, 2016
2015
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
Proceedings of the New Trends in Databases and Information Systems, 2015
2013
Proceedings of the 12th IEEE International Conference on Trust, 2013
Association Rule Mining as a Cloud-Based Service.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013
Proceedings of the New Trends in Databases and Information Systems, 2013
2012
Intell. Data Anal., 2012
2011
2009
Proceedings of the Biomedical Data and Applications, 2009
IEEE Trans. Inf. Technol. Biomed., 2009
Comput. Networks, 2009
2008
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008
Generalized association rules to support Network Digest analysis.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008
2007
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
2006
J. Integr. Bioinform., 2006