Daniele Apiletti

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 35

Top Topics

Frequent Itemsets Mining

Top Venues

EDBT/ICDT Workshops

BigData Congress

Publications

Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time. CoRR (2024)
Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati
Hermes, a low-latency transactional storage for binary data streams from remote devices. Data Knowl. Eng. 153 (2024)
Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli
DriftLens: A Concept Drift Detection Tool. EDBT (2024)
Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. BigData (2023)
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)
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)
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
Trusting deep learning natural-language models via local and global explanations. Knowl. Inf. Syst. 64 (7) (2022)
Simone Monaco, Daniele Apiletti
Experimental Comparison of Theory-Guided Deep Learning Algorithms. ADBIS (Short Papers) (2022)
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)
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)
Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. CoRR (2021)
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 (2021)
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)
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)
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 (2020)
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 (2020)
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) (2020)
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) (2020)
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)
Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis
Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops (2020)
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
Towards a real-time unsupervised estimation of predictive model degradation. BIRTE (2019)
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)
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)
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)
Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
Automating concept-drift detection by self-evaluating predictive model degradation. CoRR (2019)
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)
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 (2017)
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 (2017)
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) (2016)
Luca Venturini, Paolo Garza, Daniele Apiletti
BAC: A Bagged Associative Classifier for Big Data Frameworks. ADBIS (Short Papers and Workshops) (2016)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini
SaFe-NeC: A scalable and flexible system for network data characterization. NOMS (2016)
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)
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)
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)
Daniele Apiletti, Paolo Garza, Fabio Pulvirenti
A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) (2015)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo
SeaRum: A Cloud-Based Service for Association Rule Mining. TrustCom/ISPA/IUCC (2013)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo
Association Rule Mining as a Cloud-Based Service. SEBD (2013)
Daniele Apiletti, Fabio Forno
Desidoo, a Big-Data Application to Join the Online and Real-World Marketplaces. ADBIS (2) (2013)
Daniele Apiletti, Elena Baralis, Giulia Bruno, Alessandro Fiori
MaskedPainter: Feature selection for microarray data analysis. Intell. Data Anal. 16 (4) (2012)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli
Energy-saving models for wireless sensor networks. Knowl. Inf. Syst. 28 (3) (2011)
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) (2009)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia
Characterizing network traffic by means of the NetMine framework. Comput. Networks 53 (6) (2009)
Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia
Generalized association rules to support Network Digest analysis. SEBD (2008)
Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli
SAPhyRA: Stream Analysis for Physiological Risk Assessment. CBMS (2007)
Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis
Data Cleaning and Semantic Improvement in Biological Databases. J. Integr. Bioinform. 3 (2) (2006)