Daniele Apiletti
Title
Cited by
Cited by
Year
Real-time analysis of physiological data to support medical applications
D Apiletti, E Baralis, G Bruno, T Cerquitelli
IEEE transactions on information technology in biomedicine 13 (3), 313-321, 2009
1052009
Frequent itemsets mining for big data: a comparative analysis
D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, L Venturini
Big Data Research 9, 67-83, 2017
462017
Characterizing network traffic by means of the NetMine framework
D Apiletti, E Baralis, T Cerquitelli, V D’Elia
Computer Networks 53 (6), 774-789, 2009
442009
Energy-saving models for wireless sensor networks
D Apiletti, E Baralis, T Cerquitelli
Knowledge and Information Systems 28 (3), 615-644, 2011
342011
Energy signature analysis: Knowledge at your fingertips
A Acquaviva, D Apiletti, A Attanasio, E Baralis, L Bottaccioli, ...
2015 IEEE International Congress on Big Data, 543-550, 2015
312015
Data cleaning and semantic improvement in biological databases
D Apiletti, G Bruno, E Ficarra, E Baralis
Journal of Integrative Bioinformatics 3 (2), 219-229, 2006
302006
Searum: A cloud-based service for association rule mining
D Apiletti, E Baralis, T Cerquitelli, S Chiusano, L Grimaudo
2013 12th IEEE International Conference on Trust, Security and Privacy in …, 2013
272013
iSTEP, an integrated Self-Tuning Engine for Predictive maintenance in Industry 4.0
D Apiletti, C Barberis, T Cerquitelli, A Macii, E Macii, M Poncino, F Ventura
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
262018
SeLINA: A self-learning insightful network analyzer
D Apiletti, E Baralis, T Cerquitelli, P Garza, D Giordano, M Mellia, ...
IEEE Transactions on Network and Service Management 13 (3), 696-710, 2016
262016
A parallel mapreduce algorithm to efficiently support itemset mining on high dimensional data
D Apiletti, E Baralis, T Cerquitelli, P Garza, F Pulvirenti, P Michiardi
Big Data Research 10, 53-69, 2017
242017
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
arXiv preprint arXiv:2012.03854, 2020
142020
Metatech: Meteorological data analysis for thermal energy characterization by means of self-learning transparent models
E Di Corso, T Cerquitelli, D Apiletti
Energies 11 (6), 1336, 2018
142018
PaMPa-HD: A parallel MapReduce-based frequent pattern miner for high-dimensional data
D Apiletti, E Baralis, T Cerquitelli, P Garza, P Michiardi, F Pulvirenti
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 839-846, 2015
142015
REDTag: a predictive maintenance framework for parcel delivery services
S Proto, E Di Corso, D Apiletti, L Cagliero, T Cerquitelli, G Malnati, ...
IEEE Access 8, 14953-14964, 2020
132020
A new unsupervised predictive-model self-assessment approach that SCALEs
F Ventura, S Proto, D Apiletti, T Cerquitelli, S Panicucci, E Baralis, E Macii, ...
2019 IEEE International Congress on Big Data (BigDataCongress), 144-148, 2019
132019
Maskedpainter: feature selection for microarray data analysis
D Apiletti, E Baralis, G Bruno, A Fiori
Intelligent Data Analysis 16 (4), 717-737, 2012
132012
Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption.
A Acquaviva, D Apiletti, A Attanasio, E Baralis, FB Castagnetti, ...
EDBT/ICDT Workshops, 64-71, 2015
122015
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes
S Proto, F Ventura, D Apiletti, T Cerquitelli, E Baralis, E Macii, A Macii
2019 IEEE International Congress on Big Data (BigDataCongress), 139-143, 2019
112019
Towards a real-time unsupervised estimation of predictive model degradation
T Cerquitelli, S Proto, F Ventura, D Apiletti, E Baralis
Proceedings of Real-Time Business Intelligence and Analytics, 1-6, 2019
102019
The painter's feature selection for gene expression data
D Apiletti, E Baralis, G Bruno, A Fiori
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
102007
The system can't perform the operation now. Try again later.
Articles 1–20