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Ciro D'Elia
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2020 – today
- 2024
- [c23]Roberto Pompa, Nico Fiorini, Gianluca Scacco, Ciro D'Elia:
A Resources Optimization Method in an Elixir IoT Cloud Environment Based on Basic Operations Performance Measurements. M&N 2024: 1-6 - [c22]Giacomo Quadrio, Roberto Pompa, Enrico Bassetti, Ciro D'Elia, Gianluca Scacco, Mauro Conti:
"They Will Adapt": Improving Anomaly Detection on IoT Networks Through Continuous Learning. WiMob 2024: 1-6 - 2023
- [j10]Giovanni Interdonato
, Stefano Buzzi
On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO. IEEE Open J. Commun. Soc. 4: 1040-1059 (2023) - [i4]Giovanni Interdonato, Stefano Buzzi, Carmen D'Andrea, Luca Venturino, Ciro D'Elia, Paolo Vendittelli:
On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO. CoRR abs/2301.03575 (2023) - 2020
- [j9]Stefano Buzzi
User-Centric 5G Cellular Networks: Resource Allocation and Comparison With the Cell-Free Massive MIMO Approach. IEEE Trans. Wirel. Commun. 19(2): 1250-1264 (2020)
2010 – 2019
- 2019
- [j8]Mario Alonzo
Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave. IEEE Trans. Green Commun. Netw. 3(3): 651-663 (2019) - [i3]Mario Alonzo, Stefano Buzzi, Alessio Zappone, Ciro D'Elia:
Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave. CoRR abs/1903.11365 (2019) - 2018
- [c21]Stefano Buzzi, Carmen D'Andrea
User-Centric Cell-Free Massive MIMO with Interference Cancellation and Local ZF Downlink Precoding. ISWCS 2018: 1-5 - [c20]Stefano Buzzi, Marco Lops, Carmen D'Andrea
Co-Existence Between a Radar System and a Massive MIMO Wireless Cellular System. SPAWC 2018: 1-5 - [i2]Stefano Buzzi, Carmen D'Andrea, Ciro D'Elia:
Subspace Tracking and Least Squares Approaches to Channel Estimation in Millimeter Wave Multiuser MIMO. CoRR abs/1803.02225 (2018) - [i1]Stefano Buzzi, Marco Lops, Carmen D'Andrea, Ciro D'Elia:
Co-existence Between a Radar System and a Massive MIMO Wireless Cellular System. CoRR abs/1805.07796 (2018) - 2014
- [j7]Ciro D'Elia, Simona Ruscino, Maurizio Abbate, Bruno Aiazzi
SAR Image Classification Through Information-Theoretic Textural Features, MRF Segmentation, and Object-Oriented Learning Vector Quantization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1116-1126 (2014) - 2012
- [c19]Luciano Alparone
Multiresolution map despeckling of COSMO-SkyMed images. IGARSS 2012: 5490-5493 - [c18]Ciro D'Elia, Simona Ruscino, Giovanni de Marinis
A water supply infrastructures application of change detection by measuring spectral change features. TyWRRS 2012: 288-295 - 2011
- [c17]Maurizio Abbate, Ciro D'Elia, Paola Mariano:
A Low Complexity Motion Segmentation Based on Semantic Representation of Encoded Video Streams. ICIAP (2) 2011: 209-218 - [c16]Ciro D'Elia, Paola Mariano, Antonio Marino:
Compressed video QoE assessment based on codec agnostic semantic video model. M&N 2011: 59-64 - 2010
- [j6]Claudio Marrocco
A computer-aided detection system for clustered microcalcifications. Artif. Intell. Medicine 50(1): 23-32 (2010) - [c15]Luciano Alparone
Multiresolution despeckling of VHR SAR images based on MRF segmentation. IGARSS 2010: 288-291
2000 – 2009
- 2009
- [j5]Claudio De Stefano
Classifier Combination by Bayesian Networks for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. 23(5): 887-905 (2009) - 2008
- [c14]Ciro D'Elia, Claudio Marrocco
Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. CBMS 2008: 572-577 - 2007
- [j4]Claudio De Stefano
Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation. Int. J. Pattern Recognit. Artif. Intell. 21(1): 43-59 (2007) - [c13]Claudio De Stefano
Using Bayesian Network for combining classifiers. ICIAP 2007: 73-80 - 2006
- [c12]Claudio De Stefano
Improving Dynamic Learning Vector Quantization. ICPR (2) 2006: 804-807 - [c11]Bruno Aiazzi
Automated Content Extraction from SAR Data. IGARSS 2006: 821-824 - 2005
- [c10]Alessandra Budillon
Application of overcomplete ICA to SAR image compression. IGARSS 2005: 4 - [c9]Bruno Aiazzi
SAR image segmentation through information-theoretic heterogeneity features and tree-structured Markov random fields. IGARSS 2005: 2803-2806 - 2004
- [c8]Claudio De Stefano
A Dynamic Approach to Learning Vector Quantization. ICPR (4) 2004: 601-604 - [c7]Ciro D'Elia, Claudio Marrocco
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. ICPR (3) 2004: 742-745 - [c6]Giovanni Cuozzo, Ciro D'Elia, Virginia Puzzolo:
A method based on tree-structured Markov random field for forest area classification. IGARSS 2004: 2352-2354 - [c5]Ciro D'Elia, Giancarlo Ferraiuolo, Vito Pascazio, Gilda Schirinzi:
An MRF based technique for speckle reduction in SAR images. IGARSS 2004: 4211-4214 - 2003
- [j3]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
A tree-structured Markov random field model for Bayesian image segmentation. IEEE Trans. Image Process. 12(10): 1259-1273 (2003) - [c4]Ciro D'Elia, Giuseppe Scarpa:
Contour-Based Shape Representation for Image Compression and Analysis. DGCI 2003: 204-213 - [c3]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
Sequential Bayesian segmentation of remote sensing images. ICIP (3) 2003: 985-988 - [c2]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
Improved tree-structured segmentation of remote sensing images. IGARSS 2003: 1805-1807 - 2002
- [j2]Ciro D'Elia, Giovanni Poggi:
Self-organizing codebooks for trellis-coded VQ. IEEE Signal Process. Lett. 9(12): 404-406 (2002) - [c1]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
An adaptive MRF model for boundary-preserving segmentation of multispectral images. EUSIPCO 2002: 1-4 - 2001
- [j1]Ciro D'Elia, Giovanni Poggi, Luisa Verdoliva:
Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization. IEEE Trans. Image Process. 10(9): 1278-1287 (2001)
Coauthor Index
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