Daniele Apiletti

61 papers A 1B 5Journal 27Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Data-Driven Fault Detection of Automotive Engine Mounts Using Onboard Vibration Signals. EDBT/ICDT Workshops Yangtao Chen, Mirco Hauke, Alexander Belitzki, Daniele Apiletti
2026	J	`jnl`	Enforcing domain constraints through Lagrangian primal-dual learning. Neural Comput. Appl. Simone Monaco, Flavio Giobergia, Alkis Koudounas, Daniele Apiletti
2026	—	`conf`	From Human to Scalable Annotation: Teaching LLMs to mimic experts labeling on Economic News Sentiment. EDBT/ICDT Workshops Michele Petrocelli, Andrea Rollin, Matteo Berta, Francesca Zafonte, Simone Monaco, Salvatore Lo Sardo, Daniele Apiletti, Daria Scacciatelli, Tania Cerquitelli
2026	—	`conf`	SkiSlo: leveraging Digital Twins to improve Ski Safety. EDBT/ICDT Workshops Davide Cortinovis, Giulia De Pascale, Nunzio Licalzi, Andrea Pantano, Matteo Postinghel, Riccardo Savio, Cosmo Spinosa, Andrea Tarabotto, Daniele Apiletti, Carlo Iapige De Gaetani, Giovanni Malnati
2025	J	`jnl`	A comparative study of neural ordinary differential equations and neural operators for modeling temporal dynamics. Neural Comput. Appl. Matteo Celia, Simone Monaco, Daniele Apiletti
2025	J	`jnl`	Quantify production planning efficiency through predictive modeling in manufacturing systems. Comput. Ind. Eng. Simone Monaco, Daniele Apiletti, Andrea Francica, Tania Cerquitelli
2025	J	`jnl`	Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation. Comput. Geosci. Simone Monaco, Luca Monaco, Daniele Apiletti, Roberto Cremonini, Secondo Barbero
2025	J	`jnl`	Unsupervised Concept Drift Detection From Deep Learning Representations in Real-Time. IEEE Trans. Knowl. Data Eng. Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli
2024	J	`jnl`	Deep Probability Segmentation: Are segmentation models probability estimators? CoRR Simone Fassio, Simone Monaco, Daniele Apiletti
2024	B	`conf`	DriftLens: A Concept Drift Detection Tool. EDBT Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli
2024	J	`jnl`	Explaining deep convolutional models by measuring the influence of interpretable features in image classification. Data Min. Knowl. Discov. Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2024	J	`jnl`	Hermes, a low-latency transactional storage for binary data streams from remote devices. Data Knowl. Eng. Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati
2024	—	`conf`	Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. ECCV Workshops (2) Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza
2024	J	`jnl`	Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. CoRR Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba, Giovanni Malnati, Daniele Apiletti, Paolo Garza
2024	J	`jnl`	Uncertainty-aware segmentation for rainfall prediction post processing. CoRR Simone Monaco, Luca Monaco, Daniele Apiletti
2024	J	`jnl`	Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time. CoRR Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli
2023	B	`conf`	Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. IEEE Big Data Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati
2023	—	`conf`	Lorentz-Invariant Augmentation for High-Energy Physics Deep Learning Models. PKDD/ECML Workshops (3) Simone Monaco, Sebastiano Barresi, Daniele Apiletti
2023	—	`conf`	ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. EVALITA Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, Elena Baralis
2022	A	`conf`	A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. CIKM Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli
2022	—	`conf`	Experimental Comparison of Theory-Guided Deep Learning Algorithms. ADBIS (Short Papers) Simone Monaco, Daniele Apiletti
2022	—	`conf`	Exploring waste-collection fleet data: challenges in a real-world use case. EDBT/ICDT Workshops Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli
2022	J	`jnl`	Trusting deep learning natural-language models via local and global explanations. Knowl. Inf. Syst. Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2021	—	`conf`	Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola
2021	—	`conf`	Double-Step deep learning framework to improve wildfire severity classification. EDBT/ICDT Workshops Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis
2021	J	`jnl`	Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino
2021	J	`jnl`	Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features. CoRR Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli
2020	B	`conf`	DSLE: A Smart Platform for Designing Data Science Competitions. COMPSAC Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, Silvia Chiusano
2020	J	`jnl`	Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. Computing Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
2020	J	`jnl`	Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. Int. J. Multim. Inf. Retr. Mohammad Reza Kavoosifar, Daniele Apiletti, Elena Baralis, Paolo Garza, Benoit Huet
2020	—	`conf`	Evaluating espresso coffee quality by means of time-series feature engineering. EDBT/ICDT Workshops Daniele Apiletti, Eliana Pastor, Riccardo Callà, Elena Baralis
2020	J	`jnl`	Forecasting: theory and practice. CoRR 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
2020	—	`conf`	Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. IEEE BigData Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, Elena Baralis
2020	J	`jnl`	REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. IEEE Access Stefano Proto, Evelina Di Corso, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi
2019	—	`conf`	A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii
2019	J	`jnl`	Automating concept-drift detection by self-evaluating predictive model degradation. CoRR Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
2019	—	`conf`	PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii
2019	—	`conf`	Towards a real-time unsupervised estimation of predictive model degradation. BIRTE Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
2019	—	`conf`	Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis. EDBT/ICDT Workshops Matteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis
2018	—	`conf`	iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. ISPA/IUCC/BDCloud/SocialCom/SustainCom Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura
2017	J	`jnl`	A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Res. Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi
2017	J	`jnl`	Frequent Itemsets Mining for Big Data: A Comparative Analysis. Big Data Res. Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini
2016	—	`conf`	BAC: A Bagged Associative Classifier for Big Data Frameworks. ADBIS (Short Papers and Workshops) Luca Venturini, Paolo Garza, Daniele Apiletti
2016	B	`conf`	SaFe-NeC: A scalable and flexible system for network data characterization. NOMS Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Luca Venturini
2016	J	`jnl`	SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Trans. Netw. Serv. Manag. Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Danilo Giordano, Marco Mellia, Luca Venturini
2015	—	`conf`	A Review of Scalable Approaches for Frequent Itemset Mining. ADBIS (Short Papers and Workshops) Daniele Apiletti, Paolo Garza, Fabio Pulvirenti
2015	—	`conf`	Energy Signature Analysis: Knowledge at Your Fingertips. BigData Congress Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Lorenzo Bottaccioli, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti
2015	—	`conf`	Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption. EDBT/ICDT Workshops Andrea Acquaviva, Daniele Apiletti, Antonio Attanasio, Elena Baralis, Federico Boni Castagnetti, Tania Cerquitelli, Silvia Chiusano, Enrico Macii, Dario Martellacci, Edoardo Patti
2015	—	`conf`	PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. ICDM Workshops Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti
2013	—	`conf`	Association Rule Mining as a Cloud-Based Service. SEBD Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo
2013	—	`conf`	Desidoo, a Big-Data Application to Join the Online and Real-World Marketplaces. ADBIS (2) Daniele Apiletti, Fabio Forno
2013	—	`conf`	SeaRum: A Cloud-Based Service for Association Rule Mining. TrustCom/ISPA/IUCC Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Silvia Chiusano, Luigi Grimaudo
2012	J	`jnl`	MaskedPainter: Feature selection for microarray data analysis. Intell. Data Anal. Daniele Apiletti, Elena Baralis, Giulia Bruno, Alessandro Fiori
2011	J	`jnl`	Energy-saving models for wireless sensor networks. Knowl. Inf. Syst. Daniele Apiletti, Elena Baralis, Tania Cerquitelli
2009	J	`jnl`	Characterizing network traffic by means of the NetMine framework. Comput. Networks Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia
2009	—	`ch.`	Extraction of Constraints from Biological Data. Biomedical Data and Applications Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis
2009	J	`jnl`	Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Trans. Inf. Technol. Biomed. Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli
2008	—	`conf`	Generalized association rules to support Network Digest analysis. SEBD Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia
2008	—	`ch.`	Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation. Intelligent Techniques and Tools for Novel System Architectures Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli
2007	B	`conf`	SAPhyRA: Stream Analysis for Physiological Risk Assessment. CBMS Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli
2006	J	`jnl`	Data Cleaning and Semantic Improvement in Biological Databases. J. Integr. Bioinform. Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis