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ORCIDDaniele Apiletti
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2020 – today
- 2024
[j15]Francesco Ventura, Salvatore Greco
, Daniele Apiletti, Tania Cerquitelli:
Explaining deep convolutional models by measuring the influence of interpretable features in image classification. Data Min. Knowl. Discov. 38(5): 3169-3226 (2024)- [j14]Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati:
Hermes, a low-latency transactional storage for binary data streams from remote devices. Data Knowl. Eng. 153: 102315 (2024) - [c27]Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli:
DriftLens: A Concept Drift Detection Tool. EDBT 2024: 806-809 - [i7]Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli:
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time. CoRR abs/2406.17813 (2024) - [i6]Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza:
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. CoRR abs/2408.08396 (2024) - [i5]Simone Monaco, Luca Monaco, Daniele Apiletti:
Uncertainty-aware segmentation for rainfall prediction post processing. CoRR abs/2408.16792 (2024) - [i4]Simone Fassio, Simone Monaco, Daniele Apiletti:
Deep Probability Segmentation: Are segmentation models probability estimators? CoRR abs/2409.12535 (2024) - 2023
- [c26]Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati:
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. IEEE Big Data 2023: 3149-3153 - [c25]Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis:
ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA 2023 - 2022
- [j13]Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli:
Trusting deep learning natural-language models via local and global explanations. Knowl. Inf. Syst. 64(7): 1863-1907 (2022) - [c24]Simone Monaco, Daniele Apiletti:
Experimental Comparison of Theory-Guided Deep Learning Algorithms. ADBIS (Short Papers) 2022: 256-265 - [c23]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM 2022: 3893-3897 - [c22]Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli:
Exploring waste-collection fleet data: challenges in a real-world use case. EDBT/ICDT Workshops 2022 - [d1]Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Satellite Burned Area Dataset. Zenodo, 2022
- 2021
- [j12]Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino:
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182: 115269 (2021) - [c21]Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola:
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData 2021: 3923-3926 - [c20]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis:
Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops 2021 - [i3]Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli:
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. CoRR abs/2106.06697 (2021) - 2020
- [j11]Stefano Proto, Evelina Di Corso, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi:
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. IEEE Access 8: 14953-14964 (2020) - [j10]Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis:
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. Computing 102(5): 1199-1211 (2020) - [j9]Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet:
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. Int. J. Multim. Inf. Retr. 9(3): 215-227 (2020) - [c19]Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis:
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData 2020: 5786-5788 - [c18]Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano:
DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC 2020: 133-142 - [c17]Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis:
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops 2020 - [i2]Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li:
Forecasting: theory and practice. CoRR abs/2012.03854 (2020)
2010 – 2019
- 2019
- [c16]Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii:
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress 2019: 139-143 - [c15]Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii:
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress 2019: 144-148 - [c14]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE 2019: 5:1-5:6 - [c13]Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis:
Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. EDBT/ICDT Workshops 2019 - [i1]Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis:
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR abs/1907.08120 (2019) - 2018
- [c12]Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura:
iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 924-931 - 2017
- [j8]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini:
Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. 9: 67-83 (2017) - [j7]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi:
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. 10: 53-69 (2017) - 2016
- [j6]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini:
SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Trans. Netw. Serv. Manag. 13(3): 696-710 (2016) - [c11]Luca Venturini, Paolo Garza, Daniele Apiletti:
BAC: A Bagged Associative Classifier for Big Data Frameworks. ADBIS (Short Papers and Workshops) 2016: 137-146 - [c10]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini:
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS 2016: 812-816 - 2015
- [c9]Daniele Apiletti, Paolo Garza, Fabio Pulvirenti:
A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) 2015: 243-247 - [c8]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Lorenzo Bottaccioli, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Energy Signature Analysis: Knowledge at Your Fingertips. BigData Congress 2015: 543-550 - [c7]Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti:
Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. EDBT/ICDT Workshops 2015: 64-71 - [c6]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti:
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops 2015: 839-846 - 2013
- [c5]Daniele Apiletti, Fabio Forno:
Desidoo, a Big-Data Application to Join the Online and Real-World Marketplaces. ADBIS (2) 2013: 169-175 - [c4]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
Association Rule Mining as a Cloud-Based Service. SEBD 2013: 461-468 - [c3]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo:
SeaRum: A Cloud-Based Service for Association Rule Mining. TrustCom/ISPA/IUCC 2013: 1283-1290 - 2012
- [j5]Daniele Apiletti, Elena Baralis, Giulia Bruno, Alessandro Fiori:
MaskedPainter: Feature selection for microarray data analysis. Intell. Data Anal. 16(4): 717-737 (2012) - 2011
- [j4]Daniele Apiletti, Elena Baralis, Tania Cerquitelli:
Energy-saving models for wireless sensor networks. Knowl. Inf. Syst. 28(3): 615-644 (2011)
2000 – 2009
- 2009
- [j3]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia:
Characterizing network traffic by means of the NetMine framework. Comput. Networks 53(6): 774-789 (2009) - [j2]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Trans. Inf. Technol. Biomed. 13(3): 313-321 (2009) - [p2]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Extraction of Constraints from Biological Data. Biomedical Data and Applications 2009: 169-186 - 2008
- [c2]Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia:
Generalized association rules to support Network Digest analysis. SEBD 2008: 101-108 - [p1]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation. Intelligent Techniques and Tools for Novel System Architectures 2008: 219-236 - 2007
- [c1]Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli:
SAPhyRA: Stream Analysis for Physiological Risk Assessment. CBMS 2007: 193-198 - 2006
- [j1]Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis:
Data Cleaning and Semantic Improvement in Biological Databases. J. Integr. Bioinform. 3(2) (2006)
Coauthor Index
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last updated on 2024-10-21 21:29 CEST by the dblp team
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