Corrado Loglisci has a position of Assistant Professor at the Department of Computer Science at the University of Bari “Aldo Moro” (Italy). He received a Ph.D. in Computer Science by defending the thesis entitles as “A Data Mining Approach to the Problem of Temporal Projection on Longitudinal Data”. He was a visiting researcher at the IRSTEA Research Institute, Montpellier (France) and at the Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki (Greece). In the last years he has published papers on referred journals and international conferences and workshops. He has participated and participates in European and National Research Projects on the fields of Data Mining and Knowledge Discovery. Also, he serves as a member of program committee and a reviewer for international and national conferences, and journals. He has participated to the organization (as co-chair) of three international workshops. He is also one of the guest editors for the Special Issue on “Mining Complex Patterns” edited for the journal Journal of Intelligent Information Systems (Springer Ed.).

Research Interests

Temporal Data Mining, Temporal Learning, Textual Data Mining, Information Extraction. Data Mining & Knowledge Discovery, Machine Learning, Inductive Logic Programming, Symbolic Data Analysis. Applications include bioinformatics, medical informatics, industrial process supervision, enviromental monitoring, document analysis, network traffic analysis, social network analysis, mobility

Corrado Loglisci
PhD, Assistant Professor
Phone: +39 080 5443407
Fax: +39 080 5443296
em@il: corrado.loglisci @ uniba.it
webpage: http://www.di.uniba.it/~loglisci





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2020

Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS: 451-467 (2020)
DOI: https://doi.org/10.1007/978-3-030-61527-7_30
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: 235-244 (2020)
DOI: https://doi.org/10.1007/978-3-030-59491-6_22
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD: 343-350 (2020)
DOI: http://ceur-ws.org/Vol-2646/38-paper.pdf
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)
DOI: https://doi.org/10.1016/j.engappai.2020.103830
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 NFMCP@PKDD/ECML Lecture Notes in Computer Science 11948, Springer (2020), ISBN: 978-3-030-48861-1
DOI: https://doi.org/10.1007/978-3-030-48861-1
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-5335 (2020)
DOI: https://doi.org/10.1109/ACCESS.2020.2980937
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)
DOI: https://doi.org/10.1016/j.knosys.2019.105303
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Studies in Computational Intelligence 880, Springer (2020), ISBN: 978-3-030-36617-9
DOI: https://doi.org/10.1007/978-3-030-36617-9
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining: 137-152 (2020)
DOI: https://doi.org/10.1007/978-3-030-36617-9_9


2019

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: 154141-154 (2019)
DOI: https://doi.org/10.1109/ACCESS.2019.2948757
Corrado Loglisci, Donato Malerba:
Periodicity Detection of Emotional Communities in Microblogging. AI*IA: 558-571 (2019)
DOI: https://doi.org/10.1007/978-3-030-35166-3_39
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops: 281-290 (2019)
DOI: https://doi.org/10.1109/EuroSPW.2019.00038
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
DOI: http://ceur-ws.org/Vol-2400/paper-23.pdf


2018

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 NFMCP@PKDD/ECML Lecture Notes in Computer Science 10785, Springer (2018), ISBN: 978-3-319-78680-3
DOI: https://doi.org/10.1007/978-3-319-78680-3
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl.-Based Syst. 161: 294-312 (2018)
DOI: https://doi.org/10.1016/j.knosys.2018.07.011
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA: 123-135 (2018)
DOI: https://doi.org/10.1007/978-3-030-03840-3_10
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: 258-267 (2018)
DOI: https://doi.org/10.1007/978-3-030-01851-1_25
Annalisa Appice, Corrado Loglisci, Donato Malerba:
Active learning via collective inference in network regression problems. Inf. Sci. 460: 293-317 (2018)
DOI: https://doi.org/10.1016/j.ins.2018.05.028
Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT: 615-626 (2018)
DOI: https://doi.org/10.1007/978-3-319-75928-9_55
Corrado Loglisci:
Using interactions and dynamics for mining groups of moving objects from trajectory data. International Journal of Geographical Information Science 32(7): 1436-1468 (2018)
DOI: https://doi.org/10.1080/13658816.2017.1416473


2017

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 NFMCP@ECML/PKDD Lecture Notes in Computer Science 10312, Springer (2017), ISBN: 978-3-319-61461-8
DOI: https://doi.org/10.1007/978-3-319-61461-8
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
DOI: http://arxiv.org/abs/1709.06772
Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Statistical Analysis and Data Mining 10(1): 40-53 (2017)
DOI: https://doi.org/10.1002/sam.11336


2016

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)
DOI: https://doi.org/10.1007/s10844-016-0415-6
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 NFMCP Lecture Notes in Computer Science 9607, Springer (2016), ISBN: 978-3-319-39314-8
DOI: https://doi.org/10.1007/978-3-319-39315-5
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)
DOI: https://doi.org/10.1007/s10844-015-0361-8
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML: 198-212 (2016)
DOI: https://doi.org/10.1007/978-3-319-61461-8_13


2015

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)
DOI: http://ceur-ws.org/Vol-1509/ITALIA2015_paper_3.pdf
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 NFMCP Lecture Notes in Computer Science 8983, Springer (2015), ISBN: 978-3-319-17875-2
DOI: https://doi.org/10.1007/978-3-319-17876-9
Corrado Loglisci, Bachir Balech, Donato Malerba:
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS: 9-18 (2015)
DOI: https://doi.org/10.1007/978-3-319-25252-0_2
Corrado Loglisci, Donato Malerba:
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP: 76-90 (2015)
DOI: https://doi.org/10.1007/978-3-319-39315-5_6
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015)
DOI: https://doi.org/10.1016/j.neucom.2014.08.079


2014

Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia:
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL: 52-59 (2014)
DOI: https://doi.org/10.1016/j.procs.2014.10.011
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014)
DOI: https://doi.org/10.1007/s10844-013-0301-4
Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops: 301-308 (2014)
DOI: http://ceur-ws.org/Vol-1133/paper-49.pdf
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 NFMCP Lecture Notes in Computer Science 8399, Springer (2014), ISBN: 978-3-319-08406-0
DOI: https://doi.org/10.1007/978-3-319-08407-7
Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS: 542-547 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_58
Corrado Loglisci, Donato Malerba:
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS: 40-49 (2014)
DOI: https://doi.org/10.1007/978-3-319-08326-1_5
Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba:
Network Regression in Collective Inference Setting. SEBD: 224-235 (2014)


2013

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 Bioinformatics 14: S8 (2013)
DOI: https://doi.org/10.1186/1471-2105-14-S7-S8
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 NFMCP Lecture Notes in Computer Science 7765, Springer (2013), ISBN: 978-3-642-37381-7
DOI: https://doi.org/10.1007/978-3-642-37382-4
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD: 445-452 (2013)
Corrado Loglisci:
Time-based discovery in biomedical literature: mining temporal links. IJDATS 5(2): 148-174 (2013)
DOI: https://doi.org/10.1504/IJDATS.2013.053679


2012

Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2): 48-55 (2012)
DOI: https://doi.org/10.1007/978-3-642-32597-7_5
Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops: 789-796 (2012)
DOI: https://doi.org/10.1109/ICDMW.2012.20
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL: 117-128 (2012)
DOI: https://doi.org/10.1007/978-3-642-35834-0_13
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP: 185-199 (2012)
DOI: https://doi.org/10.1007/978-3-642-37382-4_13
Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI: 654-659 (2012)
DOI: https://doi.org/10.3233/978-1-61499-098-7-654


2011

Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2): 358-373 (2011)
DOI: https://doi.org/10.1007/978-3-642-23783-6_23
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: 87-109 (2011)
DOI: https://doi.org/10.1007/978-1-4419-6800-5_5
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM: 200-207 (2011)
DOI: https://doi.org/10.1109/CIDM.2011.5949299
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2): 97-106 (2011)
DOI: https://doi.org/10.1007/978-3-642-23091-2_9
Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL: 115-118 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_13
Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL: 132-135 (2011)
DOI: https://doi.org/10.1007/978-3-642-27302-5_18
Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents: 121-142 (2011)
DOI: https://doi.org/10.1007/978-3-642-22913-8_6
Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD: 227-238 (2011)


2010

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci:
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA: 120-125 (2010)
DOI: https://doi.org/10.1109/DBKDA.2010.14
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK (2010)
DOI: http://ceur-ws.org/Vol-655/dynak2010_paper2.pdf
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak: 263-274 (2010)
DOI: https://doi.org/10.1007/978-3-642-15105-7_21
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC: 1071-1077 (2010)
DOI: https://doi.org/10.1145/1774088.1774311
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI: 1117-1118 (2010)
DOI: https://doi.org/10.3233/978-1-60750-606-5-1117
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD: 306-317 (2010)


2009

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 Bioinformatics 10 (2009)
DOI: https://doi.org/10.1186/1471-2105-10-S6-S25
Corrado Loglisci, Donato Malerba:
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME: 26-35 (2009)
DOI: https://doi.org/10.1007/978-3-642-02976-9_4
Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS: 563-572 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_59
Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS: 119-128 (2009)
DOI: https://doi.org/10.1007/978-3-642-04125-9_15
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: 427-439 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_32
Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM: 251-265 (2009)
DOI: https://doi.org/10.1007/978-3-642-03070-3_19
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD: 89-100 (2009)
Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Mining Frequent Patterns of Biological Spaced Motifs. SEBD: 117-124 (2009)


2008

Corrado Loglisci, Donato Malerba:
Discovering Triggering Events from Longitudinal Data. ICDM Workshops: 248-256 (2008)
DOI: https://doi.org/10.1109/ICDMW.2008.136
Corrado Loglisci, Donato Malerba:
Discovering Explanations from Longitudinal Data. ISMIS: 196-202 (2008)
DOI: https://doi.org/10.1007/978-3-540-68123-6_22


2007

Corrado Loglisci, Margherita Berardi, Saverio D'Alessandro, Pietro Leo:
Finding Generalized Closed Frequent Itemsets for Mining Non Redundant Association Rules. SEBD: 184-195 (2007)


2006

Corrado Loglisci, Margherita Berardi:
Segmentation of Evolving Complex Data and Generation of Models. ICDM Workshops: 269-273 (2006)
DOI: https://doi.org/10.1109/ICDMW.2006.144
Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo:
Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS: 369-378 (2006)
DOI: https://doi.org/10.1007/11875604_43


2005

Margherita Berardi, Michele Lapi, Pietro Leo, Corrado Loglisci:
Mining Generalized Association Rules on Biomedical Literature. IEA/AIE: 500-509 (2005)
DOI: https://doi.org/10.1007/11504894_68