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Giuseppe Manco 0001
Person information
- affiliation: Institute of High Performance Computing and Networks, Rende, Italy
Other persons with the same name
- Giuseppe Manco 0002
— National Research Council, Italy
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2020 – today
- 2024
- [j36]Michelangelo Ceci, Sergio Flesca, Giuseppe Manco, Elio Masciari:
Special issue on intelligent systems. J. Intell. Inf. Syst. 62(4): 883-886 (2024) - [j35]Angelica Liguori, Ettore Ritacco, Francesco Sergio Pisani, Giuseppe Manco:
Robust anomaly detection via adversarial counterfactual generation. Knowl. Inf. Syst. 66(12): 7437-7468 (2024) - [j34]Erica Coppolillo
, Marco Minici
, Ettore Ritacco
, Luciano Caroprese
, Francesco Sergio Pisani
, Giuseppe Manco
:
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 74:1-74:27 (2024) - [c105]Marco Minici
, Federico Cinus
, Francesco Bonchi
, Giuseppe Manco
:
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CIKM 2024: 1689-1699 - [c104]Carmela Comito
, Massimo Guarascio
, Angelica Liguori
, Giuseppe Manco
, Francesco Sergio Pisani
:
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. DS 2024: 396-410 - [c103]Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo:
Siamese Networks for Unsupervised Failure Detection in Smart Industry. ISMIS 2024: 191-200 - [c102]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - [c101]Erica Coppolillo
, Giuseppe Manco
, Aristides Gionis
:
Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations. KDD 2024: 490-501 - [c100]Erica Coppolillo, Francesco Calimeri, Giuseppe Manco, Simona Perri, Francesco Ricca:
LLASP: Fine-tuning Large Language Models for Answer Set Programming. KR 2024 - [c99]Lluís Garcia Pueyo
, Symeon Papadopoulos
, Prathyusha Senthil Kumar
, Aristides Gionis
, Panayiotis Tsaparas
, Vasilis Verroios
, Giuseppe Manco
, Anton Andryeyev
, Stefano Cresci
, Timos Sellis
, Anthony McCosker
:
Integrity 2024: Integrity in Social Networks and Media. WSDM 2024: 1212-1213 - [e13]Christine Strauss, Toshiyuki Amagasa
, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa
, Ismail Khalil:
Database and Expert Systems Applications - 35th International Conference, DEXA 2024, Naples, Italy, August 26-28, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14910, Springer 2024, ISBN 978-3-031-68308-4 [contents] - [e12]Christine Strauss, Toshiyuki Amagasa
, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa
, Ismail Khalil:
Database and Expert Systems Applications - 35th International Conference, DEXA 2024, Naples, Italy, August 26-28, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14911, Springer 2024, ISBN 978-3-031-68311-4 [contents] - [i15]Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco:
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CoRR abs/2407.15643 (2024) - [i14]Erica Coppolillo
, Simone Mungari
, Ettore Ritacco, Giuseppe Manco:
GenRec: A Flexible Data Generator for Recommendations. CoRR abs/2407.16594 (2024) - [i13]Erica Coppolillo
, Francesco Calimeri, Giuseppe Manco, Simona Perri, Francesco Ricca:
LLASP: Fine-tuning Large Language Models for Answer Set Programming. CoRR abs/2407.18723 (2024) - [i12]Erica Coppolillo
, Giuseppe Manco, Aristides Gionis:
Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations. CoRR abs/2408.03772 (2024) - [i11]Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR abs/2409.16478 (2024) - [i10]Daniela Gallo, Angelica Liguori, Ettore Ritacco, Luca Caviglione, Fabrizio Durante, Giuseppe Manco:
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. CoRR abs/2410.05819 (2024) - [i9]Erica Coppolillo, Federico Cinus, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Engagement-Driven Content Generation with Large Language Models. CoRR abs/2411.13187 (2024) - 2023
- [j33]Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco
:
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. J. Intell. Inf. Syst. 61(3): 765-793 (2023) - [j32]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio
, Angelica Liguori, Giuseppe Manco
, Marco Zuppelli:
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min. 13(1): 114 (2023) - [j31]Vito Barbara, Massimo Guarascio
, Nicola Leone, Giuseppe Manco
, Alessandro Quarta
, Francesco Ricca
, Ettore Ritacco:
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program. 23(4): 748-764 (2023) - [c98]Carmelo Felicetti, Antonella Guzzo, Giuseppe Manco, Francesco Pasqua, Ettore Ritacco, Antonino Rullo, Domenico Saccà:
Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework. BCCA 2023: 28-35 - [c97]Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco:
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Ital-IA 2023: 397-402 - [c96]Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA 2023: 443-448 - [c95]Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco:
Towards Self-Supervised Cross-Domain Fake News Detection. ITASEC 2023 - [c94]Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco:
Siamese Network for Fake Item Detection. SEBD 2023: 430-438 - [c93]Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano:
Neuro-Symbolic techniques for Predictive Maintenance. SEBD 2023: 459-468 - [c92]Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli:
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). SEBD 2023: 514-524 - [c91]Lluís Garcia Pueyo
, Panayiotis Tsaparas
, Prathyusha Senthil Kumar
, Timos Sellis
, Paolo Papotti
, Sibel Adali
, Giuseppe Manco
, Tudor Trufinescu
, Gireeja Ranade
, James R. Verbus
, Mehmet N. Tek
, Anthony McCosker
:
Integrity 2023: Integrity in Social Networks and Media. WSDM 2023: 1269-1270 - [i8]Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco
, João Gama:
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR abs/2303.06067 (2023) - [i7]Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco:
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. CoRR abs/2305.10113 (2023) - 2022
- [j30]Massimo Guarascio
, Nunziato Cassavia
, Francesco Sergio Pisani, Giuseppe Manco
:
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Gener. Comput. Syst. 135: 30-43 (2022) - [j29]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio
, Giuseppe Manco
, Marco Zuppelli:
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13(3): 50-67 (2022) - [j28]Giuseppe Manco
, Ettore Ritacco
, Antonino Rullo
, Domenico Saccà
, Edoardo Serra
:
Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12(2) (2022) - [c90]Massimo Guarascio
, Marco Zuppelli, Nunziato Cassavia, Luca Caviglione, Giuseppe Manco
:
Revealing MageCart-like Threats in Favicons via Artificial Intelligence. ARES 2022: 45:1-45:7 - [c89]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco
:
Cascade-based Echo Chamber Detection. CIKM 2022: 1511-1520 - [c88]Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco:
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels. CILC 2022: 247-253 - [c87]Erica Coppolillo
, Angelica Liguori
, Massimo Guarascio
, Francesco Sergio Pisani
, Giuseppe Manco
:
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. CyberSec4Europe 2022: 65-79 - [c86]Massimo Guarascio, Marco Zuppelli, Nunziato Cassavia, Giuseppe Manco, Luca Caviglione:
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning. ITASEC 2022: 102-113 - [c85]Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra:
Generating Synthetic Discrete Datasets with Machine Learning. SEBD 2022: 341-350 - [c84]Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco:
Towards Extreme Multi-Label Classification of Multimedia Content. SEBD 2022: 367-374 - [e11]Michelangelo Ceci
, Sergio Flesca
, Elio Masciari
, Giuseppe Manco
, Zbigniew W. Ras
:
Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Lecture Notes in Computer Science 13515, Springer 2022, ISBN 978-3-031-16563-4 [contents] - [i6]Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CoRR abs/2208.04620 (2022) - 2021
- [j27]Giuseppe Manco
, Ettore Ritacco
, Nicola Barbieri
:
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33(1): 1-13 (2021) - [c83]Corrado Monti, Giuseppe Manco
, Çigdem Aslay
, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CIKM 2021: 1325-1334 - [c82]Angelica Liguori
, Giuseppe Manco
, Francesco Sergio Pisani, Ettore Ritacco:
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM 2021: 1204-1209 - [c81]Marco Zuppelli, Giuseppe Manco, Luca Caviglione, Massimo Guarascio:
Sanitization of Images Containing Stegomalware via Machine Learning Approaches. ITASEC 2021: 374-386 - [c80]Bruno Veloso
, Luciano Caroprese
, Matthias König, Sónia Teixeira, Giuseppe Manco
, Holger H. Hoos, João Gama:
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) 2021: 249-264 - [c79]Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco:
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD 2021: 450-457 - [c78]Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano:
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). SEBD 2021: 474-481 - [i5]Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CoRR abs/2109.13589 (2021) - 2020
- [j26]Antonio L. Alfeo
, Mario G. C. A. Cimino
, Giuseppe Manco
, Ettore Ritacco
, Gigliola Vaglini:
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136: 272-278 (2020) - [c77]Francesco Scicchitano, Angelica Liguori
, Massimo Guarascio
, Ettore Ritacco
, Giuseppe Manco
:
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS 2020: 448-456 - [c76]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC 2020: 212-222 - [c75]Francesco Folino, Massimo Guarascio
, Angelica Liguori
, Giuseppe Manco
, Luigi Pontieri, Ettore Ritacco:
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops 2020: 263-275 - [e10]Irena Koprinska
, Michael Kamp
, Annalisa Appice
, Corrado Loglisci
, Luiza Antonie
, Albrecht Zimmermann
, Riccardo Guidotti
, Özlem Özgöbek
, Rita P. Ribeiro
, Ricard Gavaldà
, João Gama
, Linara Adilova, Yamuna Krishnamurthy
, Pedro M. Ferreira
, Donato Malerba
, Ibéria Medeiros
, Michelangelo Ceci
, Giuseppe Manco
, Elio Masciari
, Zbigniew W. Ras
, Peter Christen
, Eirini Ntoutsi, Erich Schubert
, Arthur Zimek
, Anna Monreale
, Przemyslaw Biecek
, Salvatore Rinzivillo
, Benjamin Kille
, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [e9]Michelangelo Ceci
, Corrado Loglisci
, Giuseppe Manco
, Elio Masciari
, Zbigniew W. Ras
:
New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, - Würzburg, Germany, September 16, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11948, Springer 2020, ISBN 978-3-030-48860-4 [contents] - [e8]Annalisa Appice, Michelangelo Ceci
, Corrado Loglisci, Giuseppe Manco
, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications. Studies in Computational Intelligence 880, Springer 2020, ISBN 978-3-030-36616-2 [contents]
2010 – 2019
- 2019
- [c74]Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio:
Deep Sequential Modeling for Recommendation. SEBD 2019 - [c73]Noveen Sachdeva, Giuseppe Manco
, Ettore Ritacco
, Vikram Pudi
:
Sequential Variational Autoencoders for Collaborative Filtering. WSDM 2019: 600-608 - [r4]Massimo Guarascio
, Giuseppe Manco
, Ettore Ritacco
:
Knowledge Discovery in Databases. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 336-341 - [r3]Massimo Guarascio
, Giuseppe Manco
, Ettore Ritacco
:
Deep Learning. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 634-647 - [r2]Giuseppe Manco
, Ettore Ritacco
, Massimo Guarascio
:
Network Topology. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 958-967 - [r1]Massimo Guarascio
, Giuseppe Manco
, Ettore Ritacco
:
Network Models. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 968-977 - 2018
- [c72]Giuseppe Manco
, Giuseppe Pirrò
, Ettore Ritacco
:
Predicting Temporal Activation Patterns via Recurrent Neural Networks. ISMIS 2018: 347-356 - [c71]Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco:
Temporal Recurrent Activation Networks. SEBD 2018 - [p4]Stefano Basta, Giuseppe Manco
, Elio Masciari, Luigi Pontieri:
20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions. A Comprehensive Guide Through the Italian Database Research 2018: 353-374 - [e7]Annalisa Appice, Corrado Loglisci, Giuseppe Manco
, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10785, Springer 2018, ISBN 978-3-319-78679-7 [contents] - [i4]Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. CoRR abs/1811.09975 (2018) - 2017
- [j25]Fabrizio Angiulli
, Fabio Fassetti
, Giuseppe Manco
, Luigi Palopoli:
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31(1): 134-163 (2017) - [j24]Giuseppe Manco
, Ettore Ritacco
, Pasquale Rullo, Lorenzo Gallucci, Will Astill, Dianne Kimber, Marco Antonelli:
Fault detection and explanation through big data analysis on sensor streams. Expert Syst. Appl. 87: 141-156 (2017) - [j23]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol. 8(2): 32:1-32:31 (2017) - [c70]Giuseppe Manco, Giuseppe Pirrò
:
Differential Privacy and Neural Networks: A Preliminary Analysis. PAP@PKDD/ECML 2017: 23-35 - [c69]Nicola Barbieri, Giuseppe Manco
, Ettore Ritacco
:
Survival Factorization on Diffusion Networks. ECML/PKDD (1) 2017: 684-700 - 2016
- [j22]Giuseppe Manco
, Pasquale Rullo
, Lorenzo Gallucci, Mirko Paturzo:
Rialto: A Knowledge Discovery suite for data analysis. Expert Syst. Appl. 59: 145-164 (2016) - [j21]Annalisa Appice, Michelangelo Ceci
, Corrado Loglisci, Giuseppe Manco
, Elio Masciari
:
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47(1): 1-3 (2016) - [j20]Shirley Coleman, Rainer Göb, Giuseppe Manco
, Antonio Pievatolo
, Xavier Tort-Martorell
, Marco Seabra dos Reis
:
How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Qual. Reliab. Eng. Int. 32(6): 2151-2164 (2016) - [e6]Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9607, Springer 2016, ISBN 978-3-319-39314-8 [contents] - [e5]Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9851, Springer 2016, ISBN 978-3-319-46127-4 [contents] - [e4]Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9852, Springer 2016, ISBN 978-3-319-46226-4 [contents] - 2015
- [e3]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco
, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8983, Springer 2015, ISBN 978-3-319-17875-2 [contents] - 2014
- [b1]Nicola Barbieri, Giuseppe Manco
, Ettore Ritacco:
Probabilistic Approaches to Recommendations. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00778-1 - [j19]Gianni Costa
, Giuseppe Manco
, Elio Masciari
:
Dealing with trajectory streams by clustering and mathematical transforms. J. Intell. Inf. Syst. 42(1): 155-177 (2014) - [j18]Annalisa Appice
, Michelangelo Ceci
, Corrado Loglisci
, Elio Masciari
, Giuseppe Manco
:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014) - [c68]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Who to follow and why: link prediction with explanations. KDD 2014: 1266-1275 - [c67]Gianni Costa
, Giuseppe Manco
, Riccardo Ortale
:
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. ECML/PKDD (1) 2014: 258-273 - [e2]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco
, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8399, Springer 2014, ISBN 978-3-319-08406-0 [contents] - 2013
- [j17]Gianni Costa
, Giuseppe Manco
, Riccardo Ortale
, Ettore Ritacco
:
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84: 26-46 (2013) - [j16]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Topic-aware social influence propagation models. Knowl. Inf. Syst. 37(3): 555-584 (2013) - [j15]Nicola Barbieri, Giuseppe Manco
, Ettore Ritacco
, Marco Carnuccio, Antonio Bevacqua:
Probabilistic topic models for sequence data. Mach. Learn. 93(1): 5-29 (2013) - [c66]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Influence-Based Network-Oblivious Community Detection. ICDM 2013: 955-960 - [c65]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Towards Topic-aware Social Influence Propagation Models. SEBD 2013: 199-206 - [c64]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Cascade-based community detection. WSDM 2013: 33-42 - [e1]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7765, Springer 2013, ISBN 978-3-642-37381-7 [contents] - [i3]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco:
Outlying Property Detection with Numerical Attributes. CoRR abs/1306.3558 (2013) - 2012
- [c63]Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco:
Probabilistic Sequence Modeling for Recommender Systems. KDIR 2012: 75-84 - [c62]Nicola Barbieri, Francesco Bonchi, Giuseppe Manco
:
Topic-Aware Social Influence Propagation Models. ICDM 2012: 81-90 - [c61]Giuseppe Manco
, Elio Masciari
:
XML class outlier detection. IDEAS 2012: 155-164 - [c60]Alfredo Cuzzocrea, Giuseppe Manco, Elio Masciari:
Effective Detection of XML Outliers. KES 2012: 1221-1232 - [c59]Gianni Costa
, Giuseppe Manco
, Elio Masciari
:
Effectively Grouping Trajectory Streams. NFMCP 2012: 94-108 - [c58]Nicola Barbieri, Giuseppe Manco
, Riccardo Ortale, Ettore Ritacco
:
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM 2012: 1035-1046 - [c57]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
Hierarchical Latent Factors for Preference Data. SEBD 2012: 251-256 - 2011
- [j14]Gianni Costa
, Giuseppe Manco
, Riccardo Ortale
, Ettore Ritacco
:
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33(1): 137-169 (2011) - [c56]Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco:
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR 2011: 64-73 - [c55]Nicola Barbieri, Gianni Costa
, Giuseppe Manco
, Ettore Ritacco
:
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K 2011: 94-108 - [c54]Nicola Barbieri, Giuseppe Manco
:
An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. ECML/PKDD (1) 2011: 172-187 - [c53]Nicola Barbieri, Gianni Costa
, Giuseppe Manco
, Riccardo Ortale
:
Modeling item selection and relevance for accurate recommendations: a bayesian approach. RecSys 2011: 21-28 - [c52]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM 2011: 630-641 - [c51]Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD 2011: 239-246 - [p3]Gianni Costa
, Alfredo Cuzzocrea
, Giuseppe Manco
, Riccardo Ortale
:
Data De-duplication: A Review. Learning Structure and Schemas from Documents 2011: 385-412 - 2010
- [j13]Gianni Costa
, Giuseppe Manco
, Riccardo Ortale
:
An incremental clustering scheme for data de-duplication. Data Min. Knowl. Discov. 20(1): 152-187 (2010) - [c50]Nicola Barbieri, Massimo Guarascio
, Giuseppe Manco
:
A Block Mixture Model for Pattern Discovery in Preference Data. ICDM Workshops 2010: 1100-1107 - [c49]Gianni Costa
, Fabio Fassetti
, Massimo Guarascio
, Giuseppe Manco
, Riccardo Ortale
:
Mining models of exceptional objects through rule learning. SAC 2010: 1078-1082 - [c48]