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Marco Pulimeno
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2020 – today
- 2024
- [j20]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
State-of-the-Art Future Internet Technology in Italy 2022-2023. Future Internet 16(2): 53 (2024) - [j19]Italo Epicoco, Marco Pulimeno, Massimo Cafaro:
Parallel and Distributed Frugal Tracking of a Quantile. Future Internet 16(9): 335 (2024) - 2023
- [j18]Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Emanuele Sansebastiano:
Toward Enhanced Support for Ship Sailing. IEEE Access 11: 87047-87061 (2023) - [j17]Massimo Cafaro, Catiuscia Melle, Italo Epicoco, Marco Pulimeno:
Data stream fusion for accurate quantile tracking and analysis. Inf. Fusion 89: 155-165 (2023) - [c15]Ahmed Ala Eddine Benali, Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Enrico Junior Schioppa, Jacopo Bonan, Massimo Tavoni:
Smart Meters and Customer Consumption Behavior: An Exploratory Analysis Approach. XR (1) 2023: 356-363 - 2022
- [j16]Anna Fornaio, Italo Epicoco, Marco Pulimeno, Massimo Cafaro:
Deterministic, Fast and Accurate Solution of the Heavy Hitters q-Tail Latencies Problem. IEEE Access 10: 106386-106399 (2022) - [j15]Italo Epicoco, Catiuscia Melle, Massimo Cafaro, Marco Pulimeno:
AFQN: approximate Qn estimation in data streams. Appl. Intell. 52(5): 5082-5099 (2022) - [c14]Andrea Della Monaca, Massimo Cafaro, Marco Pulimeno, Italo Epicoco:
An Adaptive Clustering Approach for Distributed Outlier Detection in Data Streams. DCAI (1) 2022: 86-99 - [c13]Antonio Mariani, Italo Epicoco, Massimo Cafaro, Marco Pulimeno:
Grid-Based Contraction Clustering in a Peer-to-Peer Network. LOD (2) 2022: 373-387 - 2021
- [j14]Massimo Cafaro, Catiuscia Melle, Marco Pulimeno, Italo Epicoco:
Fast online computation of the Qn estimator with applications to the detection of outliers in data streams. Expert Syst. Appl. 164: 113831 (2021) - [j13]Marco Pulimeno, Italo Epicoco, Massimo Cafaro:
Distributed mining of time-faded heavy hitters. Inf. Sci. 545: 633-662 (2021) - [i10]Massimo Cafaro, Catiuscia Melle, Italo Epicoco, Marco Pulimeno:
Data stream fusion for accurate quantile tracking and analysis. CoRR abs/2101.06758 (2021) - 2020
- [j12]Italo Epicoco, Catiuscia Melle, Massimo Cafaro, Marco Pulimeno, Giuseppe Morleo:
UDDSketch: Accurate Tracking of Quantiles in Data Streams. IEEE Access 8: 147604-147617 (2020) - [j11]Federica Ventruto, Marco Pulimeno, Massimo Cafaro, Italo Epicoco:
On Frequency Estimation and Detection of Heavy Hitters in Data Streams. Future Internet 12(9): 158 (2020) - [i9]Italo Epicoco, Catiuscia Melle, Massimo Cafaro, Marco Pulimeno, Giuseppe Morleo:
UDDSketch: Accurate Tracking of Quantiles in Data Streams. CoRR abs/2004.08604 (2020)
2010 – 2019
- 2019
- [j10]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Mining frequent items in unstructured P2P networks. Future Gener. Comput. Syst. 95: 1-16 (2019) - [j9]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
CMSS: Sketching based reliable tracking of large network flows. Future Gener. Comput. Syst. 101: 770-784 (2019) - [j8]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Special Issue on Parallel and Distributed Data Mining. Inf. Sci. 496: 284-286 (2019) - [p1]Massimo Cafaro, Marco Pulimeno:
Frequent Itemset Mining. Business and Consumer Analytics: New Ideas 2019: 269-304 - [r2]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Techniques for Designing Bioinformatics Algorithms. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 5-14 - [r1]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Data Mining: Mining Frequent Patterns, Associations Rules, and Correlations. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 358-366 - [i8]Massimo Cafaro, Catiuscia Melle, Marco Pulimeno, Italo Epicoco:
Fast Detection of Outliers in Data Streams with the Qn Estimator. CoRR abs/1910.02459 (2019) - 2018
- [j7]Massimo Cafaro, Marco Pulimeno, Italo Epicoco, Giovanni Aloisio:
Parallel space saving on multi- and many-core processors. Concurr. Comput. Pract. Exp. 30(7) (2018) - [j6]Italo Epicoco, Massimo Cafaro, Marco Pulimeno:
Fast and accurate mining of correlated heavy hitters. Data Min. Knowl. Discov. 32(1): 162-186 (2018) - [j5]Massimo Cafaro, Marco Pulimeno, Italo Epicoco:
Parallel mining of time-faded heavy hitters. Expert Syst. Appl. 96: 115-128 (2018) - [c12]Marco Pulimeno, Italo Epicoco, Massimo Cafaro, Catiuscia Melle, Giovanni Aloisio:
Parallel Mining of Correlated Heavy Hitters on Distributed and Shared-Memory Architectures. IEEE BigData 2018: 5111-5118 - [c11]Marco Pulimeno, Italo Epicoco, Massimo Cafaro, Catiuscia Melle, Giovanni Aloisio:
Parallel Mining of Correlated Heavy Hitters. ICCSA (5) 2018: 627-641 - [i7]Massimo Cafaro, Italo Epicoco, Marco Pulimeno:
Mining frequent items in unstructured P2P networks. CoRR abs/1806.06580 (2018) - [i6]Marco Pulimeno, Italo Epicoco, Massimo Cafaro:
Distributed mining of time-faded heavy hitters. CoRR abs/1812.01450 (2018) - 2017
- [j4]Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Giovanni Aloisio:
On Frequency Estimation and Detection of Frequent Items in Time Faded Streams. IEEE Access 5: 24078-24093 (2017) - [c10]Massimo Cafaro, Italo Epicoco, Giovanni Aloisio, Marco Pulimeno:
CUDA Based Parallel Implementations of Space-Saving on a GPU. HPCS 2017: 707-714 - [i5]Massimo Cafaro, Marco Pulimeno, Italo Epicoco:
Parallel mining of time-faded heavy hitters. CoRR abs/1701.03004 (2017) - 2016
- [j3]Massimo Cafaro, Marco Pulimeno, Piergiulio Tempesta:
A parallel space saving algorithm for frequent items and the Hurwitz zeta distribution. Inf. Sci. 329: 1-19 (2016) - [j2]Massimo Cafaro, Marco Pulimeno, Italo Epicoco, Giovanni Aloisio:
Mining frequent items in the time fading model. Inf. Sci. 370-371: 221-238 (2016) - [c9]Massimo Cafaro, Marco Pulimeno:
Merging Frequent Summaries. ICTCS 2016: 280-285 - [i4]Massimo Cafaro, Marco Pulimeno, Italo Epicoco, Giovanni Aloisio:
Mining frequent items in the time fading model. CoRR abs/1601.03892 (2016) - [i3]Massimo Cafaro, Marco Pulimeno, Italo Epicoco, Giovanni Aloisio:
Parallel Space Saving on Multi and Many-Core Processors. CoRR abs/1606.04669 (2016) - [i2]Italo Epicoco, Massimo Cafaro, Marco Pulimeno:
Fast and Accurate Mining of Correlated Heavy Hitters. CoRR abs/1611.04942 (2016) - 2014
- [i1]Massimo Cafaro, Piergiulio Tempesta, Marco Pulimeno:
Mergeable Summaries With Low Total Error. CoRR abs/1401.0702 (2014) - 2010
- [j1]Lucio Tommaso De Paolis, Marco Pulimeno, Giovanni Aloisio:
Advanced Visualization and Interaction Systems for Surgical Pre-operative Planning. J. Comput. Inf. Technol. 18(4) (2010) - [c8]Lucio Tommaso De Paolis, Giovanni Aloisio, Marco Pulimeno:
A navigator of the patient's anatomy model for intra-operative surgical guidance. VECIMS 2010: 47-51
2000 – 2009
- 2009
- [c7]Lucio Tommaso De Paolis, Giovanni Aloisio, Marco Pulimeno:
A Simulation of a Billiards Game Based on Marker Detection. ACHI 2009: 148-151 - [c6]Lucio Tommaso De Paolis, Marco Pulimeno, Giovanni Aloisio:
An Advanced Modality of Visualization and Interaction with Virtual Models of the Human Body. HCI (11) 2009: 13-18 - [c5]Lucio Tommaso De Paolis, Marco Pulimeno, Giovanni Aloisio:
A Virtual Interface for Interactions with 3D Models of the Human Body. MMVR 2009: 68-70 - [c4]Lucio Tommaso De Paolis, Marco Pulimeno, Michele Lapresa, Antonio Perrone, Giovanni Aloisio:
Augmented Visualization of the Patient's Organs through a SlidingWindow. VMV 2009: 373-374 - 2008
- [c3]Lucio Tommaso De Paolis, Marco Pulimeno, Giovanni Aloisio:
An Interactive and Immersive 3D Game Simulation Provided with Force Feedback. ACHI 2008: 26-30 - [c2]Lucio Tommaso De Paolis, Giovanni Aloisio, Marco Pulimeno:
A 3D Simulation of a Game of Billiards Using a Haptic Device. GRAPP 2008: 450-455 - 2007
- [c1]Lucio Tommaso De Paolis, Marco Pulimeno, Giovanni Aloisio:
The Simulation of a Billiard Game Using a Haptic Interface. DS-RT 2007: 64-67
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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