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ORCIDMarianna Milano
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2020 – today
- 2024
[c28]Luca Barillaro
, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro:
A Graph-Theory Based fMRI Analysis. ICCS (6) 2024: 72-85- [c27]Ilaria Lazzaro, Marianna Milano, Mario Cannataro:
A Pipeline for the Analysis of Multilayer Brain Networks. ICCS (6) 2024: 86-98 - [c26]Pietro Cinaglia, Marianna Milano:
A Method for Inferring Candidate Disease-Disease Associations. ICCS (4) 2024: 97-104 - [c25]Marianna Milano, Ilaria Lazzaro, Mario Cannataro:
Multilayer Networks: A Survey on Models, Analysis of Algorithms and Database. IWBBIO (1) 2024: 202-216 - 2023
- [j19]Marianna Milano, Mario Cannataro:
Network models in bioinformatics: modeling and analysis for complex diseases. Briefings Bioinform. 24(2) (2023) - [j18]Pietro Cinaglia, Marianna Milano, Mario Cannataro:
Multilayer network alignment based on topological assessment via embeddings. BMC Bioinform. 24(1): 416 (2023) - [j17]Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh, Marianna Milano:
Dense subgraphs in temporal social networks. Soc. Netw. Anal. Min. 13(1): 128 (2023) - [c24]Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano:
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. BIBM 2023: 3273-3279 - [i4]Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, Mario Cannataro:
MuLaN: a MultiLayer Networks Alignment Algorithm. CoRR abs/2309.07482 (2023) - 2022
- [j16]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. BMC Bioinform. 23-S(6): 393 (2022) - [j15]Marianna Milano, Chiara Zucco, Marzia Settino, Mario Cannataro:
An Extensive Assessment of Network Embedding in PPI Network Alignment. Entropy 24(5): 730 (2022) - [j14]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. Entropy 24(9): 1272 (2022) - [j13]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. Parallel Process. Lett. 32(1&2): 2142002:1-2142002:20 (2022) - 2021
- [j12]Marianna Milano, Chiara Zucco, Mario Cannataro:
COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 46 (2021) - [c23]Marianna Milano:
CCTV: a new network-based methodology for the analysis and visualization of COVID-19 data. BIBM 2021: 2000-2001 - [c22]Marianna Milano, Mario Cannataro:
A novel network-based methodology for analysis of COVID-19 data. SEBD 2021: 168-175 - 2020
- [j11]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: improving local alignment of biological networks through simulated annealing. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 10 (2020) - [c21]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A New Parallel Methodology for the Network Analysis of COVID-19 Data. Euro-Par Workshops 2020: 333-343
2010 – 2019
- 2019
- [j10]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using multiple network alignment for studying connectomes. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 5 (2019) - [j9]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Network building and analysis in connectomics studies: a review of algorithms, databases and technologies. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 13 (2019) - [j8]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
GLAlign: A Novel Algorithm for Local Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1958-1969 (2019) - [c20]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Towards Local Alignment of Multiple Networks: Multi-GLAlign. BCB 2019: 658-662 - [c19]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. BIBM 2019: 2239-2243 - [c18]Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano:
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB 2019: 245-256 - [c17]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. Euro-Par Workshops 2019: 549-559 - [r3]Marianna Milano:
Computing Languages for Bioinformatics: R. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 199-205 - [r2]Marianna Milano:
Tools for Semantic Analysis Based on Semantic Similarity. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 889-895 - [r1]Marianna Milano:
Gene Prioritization Tools. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 907-914 - 2018
- [j7]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An experimental study of information content measurement of gene ontology terms. Int. J. Mach. Learn. Cybern. 9(3): 427-439 (2018) - [c16]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated Annealing. BCB 2018: 577-578 - [c15]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. BCB 2018: 598-599 - [c14]Marianna Milano, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. Euro-Par Workshops 2018: 692-703 - [i3]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. CoRR abs/1806.03845 (2018) - 2017
- [j6]Marianna Milano, Pietro Hiram Guzzi, Olga Tymofiyeva, Duan Xu, Christopher Paul Hess, Pierangelo Veltri, Mario Cannataro:
An extensive assessment of network alignment algorithms for comparison of brain connectomes. BMC Bioinform. 18(6): 31-45 (2017) - [c13]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using Multi Network Alignment for Analysis of Connectomes. ICCS 2017: 1155-1164 - [i2]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Learning Weighted Association Rules in Human Phenotype Ontology. CoRR abs/1701.00077 (2017) - 2016
- [j5]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings Bioinform. 17(4): 553-561 (2016) - [j4]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 197-208 (2016) - [c12]Marianna Milano, Olga Tymofiyeva, Duan Xu, Christopher Paul Hess, Mario Cannataro, Pietro Hiram Guzzi:
Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset. BCB 2016: 649-656 - [c11]Marianna Milano, Mario Cannataro, Pietro Hiram Guzzi:
GLAlign: Using global graph alignment to improve local graph alignment. BIBM 2016: 1695-1702 - 2015
- [j3]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Using GO-WAR for mining cross-ontology weighted association rules. Comput. Methods Programs Biomed. 120(2): 113-122 (2015) - [j2]Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GoD: An R-package based on ontologies for prioritization of genes with respect to diseases. J. Comput. Sci. 9: 7-13 (2015) - [j1]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Using SSN-Analyzer for analysis of semantic similarity networks. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 6 (2015) - [c10]Pietro Hiram Guzzi, Marianna Milano, Swarup Roy:
Towards the assessment of GRN algorithms based on (disease) ontology. BCB 2015: 561-567 - [c9]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Efficient learning of association rules from human phenotype ontology. BCB 2015: 568-573 - 2014
- [c8]Marianna Milano, Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
A web-based tool to analyze semantic similarity networks. BCB 2014: 612-613 - [c7]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. BIBM 2014: 1-8 - [c6]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Biases in information content measurement of gene ontology terms. BIBM 2014: 9-16 - [c5]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. CIBB 2014: 3-18 - [c4]Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro:
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. HPCS 2014: 616-620 - [c3]Pietro Hiram Guzzi, Marianna Milano, Mario Cannataro:
Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. ICCS 2014: 1970-1980 - [i1]Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri:
A web-based tool to Analyze Semantic Similarity Networks. CoRR abs/1412.7386 (2014) - 2013
- [c2]Pietro Hiram Guzzi, Simone Truglia, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Modularity and community detection in Semantic Similarity Networks trough Spectral Based Transformation and Markov Clustering. BCB 2013: 652 - 2011
- [c1]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Using semantic similarity to detect features in yeast protein complexes. BIBM Workshops 2011: 495-502
Coauthor Index
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last updated on 2024-10-09 20:31 CEST by the dblp team
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