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2020 – today
- 2024
[j18]Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. 62(5): 1455-1492 (2024)- [j17]Corrado Loglisci, Donato Malerba, Saverio Pascazio:
Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. Quantum Mach. Intell. 6(2): 68 (2024) - [c57]Natale Amato
, Berardina De Carolis, Francesco de Gioia, Mario Nicola Venezia, Giuseppe Palestra, Corrado Loglisci:
Can an AI-driven VTuber engage People? The KawAIi Case Study (short paper). IUI Workshops 2024 - 2023
- [c56]Corrado Loglisci, Donato Malerba:
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA 2023 - [c55]Berardina De Carolis, Corrado Loglisci, Monitillo Giuseppe, Katya Trufanova:
Analyzing Stress Responses Related to Usability of User Interfaces. CHItaly 2023: 5:1-5:9 - [c54]Gianluca Calo', Francesco Massafra, Berardina De Carolis, Corrado Loglisci:
Emotion Hunters at EMit: Categorical Emotion Detection combining BERT and ChatGPT models (short paper). EVALITA 2023 - [c53]Corrado Loglisci, Ivan Diliso, Donato Malerba:
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD 2023: 88-99 - [c52]Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci:
Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns. SEBD 2023: 583-594 - 2021
- [j16]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57(2): 369-394 (2021) - [c51]Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS 2021: 111-122 - [c50]Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS 2021: 111-121 - 2020
- [j15]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-53359 (2020) - [j14]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020) - [j13]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020) - [c49]Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS 2020: 451-467 - [c48]Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba:
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS 2020: 235-244 - [c47]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD 2020: 343-350 - [p3]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining 2020: 137-152 - [e9]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] - [e8]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] - [e7]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
- [j12]Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba:
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7: 154141-154156 (2019) - [c46]Corrado Loglisci, Donato Malerba:
Periodicity Detection of Emotional Communities in Microblogging. AI*IA 2019: 558-571 - [c45]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops 2019: 281-290 - [c44]Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD 2019 - 2018
- [j11]Corrado Loglisci:
Using interactions and dynamics for mining groups of moving objects from trajectory data. Int. J. Geogr. Inf. Sci. 32(7): 1436-1468 (2018) - [j10]Annalisa Appice, Corrado Loglisci, Donato Malerba:
Active learning via collective inference in network regression problems. Inf. Sci. 460-461: 293-317 (2018) - [j9]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018) - [c43]Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA 2018: 123-135 - [c42]Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT 2018: 615-626 - [c41]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS 2018: 258-267 - [e6]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] - 2017
- [j8]Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10(1): 40-53 (2017) - [e5]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras:
New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10312, Springer 2017, ISBN 978-3-319-61460-1 [contents] - [i1]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR abs/1709.06772 (2017) - 2016
- [j7]Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46(3): 447-472 (2016) - [j6]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) - [c40]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML 2016: 198-212 - [e4]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] - 2015
- [j5]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015) - [c39]Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba:
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA 2015 - [c38]Corrado Loglisci, Bachir Balech, Donato Malerba:
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS 2015: 9-18 - [c37]Corrado Loglisci, Donato Malerba:
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP 2015: 76-90 - [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
- [j4]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014) - [c36]Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops 2014: 301-308 - [c35]Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia:
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL 2014: 52-59 - [c34]Corrado Loglisci, Donato Malerba:
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS 2014: 40-49 - [c33]Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS 2014: 542-547 - [c32]Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba:
Network Regression in Collective Inference Setting. SEBD 2014: 224-235 - [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
- [j3]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14(S-7): S8 (2013) - [j2]Corrado Loglisci:
Time-based discovery in biomedical literature: mining temporal links. Int. J. Data Anal. Tech. Strateg. 5(2): 148-174 (2013) - [c31]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD 2013: 445-452 - [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] - 2012
- [c30]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) 2012: 48-55 - [c29]Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI 2012: 654-659 - [c28]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops 2012: 789-796 - [c27]Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL 2012: 117-128 - [c26]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP 2012: 185-199 - 2011
- [c25]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM 2011: 200-207 - [c24]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) 2011: 97-106 - [c23]Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL 2011: 115-118 - [c22]Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL 2011: 132-135 - [c21]Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2) 2011: 358-373 - [c20]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD 2011: 227-238 - [p2]Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba:
Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems 2011: 87-109 - [p1]Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents 2011: 121-142 - 2010
- [c19]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak 2010: 263-274 - [c18]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci:
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA 2010: 120-125 - [c17]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI 2010: 1117-1118 - [c16]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK 2010 - [c15]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC 2010: 1071-1077 - [c14]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD 2010: 306-317
2000 – 2009
- 2009
- [j1]Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. 10(S-6) (2009) - [c13]Corrado Loglisci, Donato Malerba:
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME 2009: 26-35 - [c12]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS 2009: 119-128 - [c11]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS 2009: 563-572 - [c10]Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM 2009: 251-265 - [c9]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM 2009: 427-439 - [c8]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD 2009: 89-100 - [c7]Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Mining Frequent Patterns of Biological Spaced Motifs. SEBD 2009: 117-124 - 2008
- [c6]Corrado Loglisci, Donato Malerba:
Discovering Triggering Events from Longitudinal Data. ICDM Workshops 2008: 248-256 - [c5]Corrado Loglisci, Donato Malerba:
Discovering Explanations from Longitudinal Data. ISMIS 2008: 196-202 - 2007
- [c4]Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo:
Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD 2007: 184-195 - 2006
- [c3]Corrado Loglisci, Margherita Berardi:
Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops 2006: 269-273 - [c2]Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo:
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS 2006: 369-378 - 2005
- [c1]Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci:
Mining Generalized Association Rules on Biomedical Literature. IEA/AIE 2005: 500-509
Coauthor Index
[j17] [c56] [c53] [j16] [c50] [j15] [j14] [j13] [c48] [c47] [p3] [e9] [j12] [c46] [c45] [c44] [j10] [j9] [c43] [c42] [c41] [j8] [j7] [c40] [j5] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [j3] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [p2] [p1] [c19] [c17] [c16] [c15] [c14] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
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