Marenglen Biba
|
|
Ass. Prof. of
Computer Science |
September 2009 - present, Head of Computer Science Department, University of New York Tirana
January 2009 - September 2009, Postdoctoral researcher in Computer Science at LACAM laboratory, Department of Computer Science,
University of Bari. My supervisor is Prof.
Floriana Esposito.
2005 - 2009, Ph.D. in Computer Science at LACAM laboratory, Department of Computer Science,
University of Bari under the supervision of Prof.
Floriana Esposito. Ph.D thesis: Integrating Logic and Probability:
Algorithmic Improvements in Markov Logic Networks.
September - December 2007, I was visiting student at the Machine Learning group
headed by Prof. Pedro
Domingos, at the Department of
Computer Science and Engineering, University
of Washington,
1999 - 2004 Laurea Degree (cum laude) in Computer Science, University of Bari
under the supervision of Prof.
Stefano Ferilli and Prof.
Floriana Esposito. Thesis title: "Automatic acquisition of background
knowledge for a multistrategic incremental learning system".
Research interests:
Artificial Intelligence, Machine Learning, Pattern Recognition, Computational
Biology, Document Image Understanding, Information Extraction.
Current projects:
Statistical Relational Learning: I am currently investigating Markov Logic Networks, a powerful
formalism that integrates first-order logic and probabilistic graphical models.
Machine Learning and Pattern Recognition for Document Classification
and Understanding: I am involved in the implementation of the DOMINUS system, a
document processing system that uses machine learning and pattern recognition
methods. It uses layout analysis algorithms from pattern recognition to extract
the structure of a document and then applies an ILP system to learn
classification and understanding rules.
Applications of Machine Learning in Computational and Systems Biology:
I am interested in investigating problems of Computational and Systems Biology
by applying symbolic-statistical machine learning methods.
Combinatorial Optimization in Machine Learning: Most problems
in Machine Learning require combinatorial optimization. I'm interested in
investigating stochastic metaheuristics for statistical relational learning
optimization.
Applications of Machine Learning in Information Extraction : Statistical Relational Learning
has the power to boost information extraction. I'm interested in investigating
the application of SRL models to relation extraction.
Past projects:
Inductive Logic Programming: I have been interested in
combining ILP principles (such as refinement operators) with statistical
learning.
Logical and Statistical Abduction: For my laurea thesis, I
implemented some operators for automatically discovering abduction theories
based on statistical properties of non-constraints found in a certain domain.
Scalability of ILP: I have been interested in the scalability
of ILP. I have implemented some parts of the ILP system INTHELEX on
partial memory.
Multistrategic Learning: Learning through multiple types of
inferences. I have implemented some parts of the ILP system INTHELEX on
multistrategic learning.
Research Funds:
National Project- BIOLAB: Laboratorio di Bioinformatica per
National Project- PRIN 2006-2008 Computational Models of
Multistrategy First Order Learning from sequences (financed by Ministero
dell’Istruzione dell’Università e della Ricerca
Regional Project - industrial research project DDTA (Apulian
Textile-Clothing Digital District) (financed by Regione
European Project DELOS 2 Network of Excellence on Digital Libraries (funded by the EU's Sixth Framework Programme) Technology-enhanced Learning and Access to Cultural Heritage - Contract no.: G038-507618.
Distributed Production as Innovative System (DIPIS) strategic project supported by Apulia Region "Produzione Distribuita come Sistema Innovativo, 2007-2009.
Book by Springer
I am co-editing a book with title “Learning Structure and Schemas from Documents” to be published in series “Studies in Computational Intelligence” by Springer, together with Prof. Fatos Xhafa (Birkbeck, University of London).
Publications
2010
M. Biba, S. Ferilli, F. Esposito. Towards Multistrategic
Statistical Relational Learning. Jacek
Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk (Eds.):
Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard
S. Michalski. Studies in Computational Intelligence Vol. 263 Springer 2010.
M. Biba, E.
Ballhysa, N. Rao Vajjala, V. Raju Mullagiri. A Novel Structure Refining
Algorithm for Statistical-Logical Models. 4th International Conference on Complex, Intelligent and Software
Intensive Systems. February, 15th ~ 18th 2010, Krakow, Poland, IEEE
Computer Society 2010, ISBN 978-0-7695-3967-6.
S. Ferilli, M. Biba. N. Di Mauro, T. M. A. Basile, F. Esposito Merging Structural and Taxonomic Similarity for Text Retrieval using Relational Descriptions, Communications in Computer and Information Science (CCIS) Series, Springer, to appear.
S. Ferilli, M. Biba, F. Esposito. Using Explicit Word Co-occurrences to Improve Term-based Text Retrieval. Communications in Computer and Information Science (CCIS) Series, Springer, to appear.
M. Biba, S.
Ferilli, F. Esposito. Sequence-based
Classification of Proteins with Markov Logic Networks. Mathematical Approaches
to Polymer Sequence Analysis. Ed. R. Bruni, Publisher: Springer, New York, NY,
2010.
M. Biba, S. Ferilli, F. Esposito. Knowledge Discovery from Noisy Relational Databases with Statistical Relational Machine Learning. Ed. Jennifer R. Taylor. Relational Databases and Open Source Software Developments, Novascience, 2010, ISBN: 978-1-61668-436-5.
M. Biba, S.
Ferilli, F. Esposito. Machine Reconstruction of Metabolic Networks from
Metabolomic Data through Symbolic-Statistical Learning. Eds. Justin S. Knapp and William L. Cabrera. Metabolomics: Metabolites, Metabonomics, and Analytical
Technologies, Novascience, 2010, ISBN: 978-1-61668-006-0.
M. Biba, S. Ferilli, F. Esposito. Comparing Randomized Strategies in Exploring Combinatorial Spaces in Statistical Relational Models. Journal of Algorithms & Computational Technology (JACT), 2010, to appear.
M. Biba. Business Intelligence in Emerging Markets: The Case of Albania. Journal of International Research Publications: Economy & Business, 2010, to appear.
2009
M. Biba. Integrating Logic
and Probability: Algorithmic Improvements in Markov Logic Networks. Ph.D
Thesis,
S. Ferilli, M. Biba, F. Esposito, T. M. A. Basile. A Distance-based Technique for
non-Manhattan Layout Analysis. International Conference On Document
Analysis And Recognition (ICDAR'09),
S. Ferilli, F. Esposito, M. Biba, T. M.A. Basile, N. Di Mauro. FOL Learning Techniques for
Knowledge Discovery from Documents. In Handbook of Research on Machine
Learning Applications and Trends: Algorithms, Methods, and Techniques. Eds: E. Soria, J.D. Martin, R. Magdalena,
M.Martinez, A.J. Serrano. IGI Global Publishing, Hershey, PA, USA, 2009.
M.
Biba, S. Ferilli and F. Esposito. Boosting Learning and Inference in Markov
Logic through Metaheuristics. Applied Intelligence Journal, Springer US, 2009.
Marenglen
Biba, Floriana Esposito, Stefano Ferilli, Matteo Accetturo, Teresa Maria
Creanza, Claudia Santoro, Pietro Leo. Non Syndromic Hereditary Hearing Loss:
Gene Prioritization Based on Textual Approach, Logic-based approaches in
Bioinformatics, Satellite workshop of the AI*IA 2009: International Conference
of the Italian Association for Artificial Intelligence 12 December 2009, Reggio
Emilia (Italy).
S. Ferilli, T.M.A. Basile, M. Biba, N. Di Mauro, F. Esposito. A General Similarity Framework
for Horn Clause Logic. Fundamenta Informaticae Journal, 90(1-2): 43-66, IOS
Press, 2009.
S. Ferilli, M. Biba, T.M.A. Basile,
F. Esposito. Combining
Qualitative and Quantitative Keyword Extraction Methods with Document Layout
Analysis. 5th Italian Research Conference on Digital Libraries, (IRCDL'09),
M. Biba, S. Ferilli, F. Esposito.
Modelling (Bio)Logical Sequences through Markov Logic Networks.
International Joint Conference Intelligent Information Systems (IIS 2009),
Recent Advances in Intelligent Infomation Systems, ISBN 978-83-60434-59-8,
M. Biba. Integrating
Logic and Statistics: Novel Algorithms in Markov Logic Networks. VDM Verlag, ISBN 978-3639122824,
Saarbrucken, Germany, 2009.
2008
S. Ferilli, M. Biba, T. M.A. Basile, N. Di Mauro, and F. Esposito. k-Nearest Neighbor
Classification on First-Order Logic Descriptions . In Proceedings of the
4th International Workshop on Mining Complex Data - (
S. Ferilli, T. M. A. Basile, M.
Biba, F. Esposito. Incremental
Machine Learning Techniques for Document Layout Understanding . In Proc. of
19th International Conference on Pattern Recognition (ICPR 2008),
M. Biba, S. Ferilli, F. Esposito. Discriminative Structure
Learning of Markov Logic Networks . In Proceedings of 18th International
Conference on Inductive Logic Programming, (ILP 2008), LNCS 5194, (pp. 59-76),
Springer, 2008. Shared Best Student Paper Award sponsored by
Machine Learning Journal.
M. Biba, S. Ferilli, F. Esposito. Structure Learning of Markov
Logic Networks through Iterated Local Search . In Proceedings of 18th
European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece, IOS
Press, 2008.
S. Ferilli, T. M. A. Basile, M.
Biba, F. Esposito. Automatic
Document Organization Exploiting FOL Similarity-based Techniques .
Post-proceedings of the 4th Italian Research Conference on Digital Library
Systems, (IRCDL 2008), (pp. 57-66). DELOS: an Association for Digital Libraries 2008.
S. Ferilli, N. Di Mauro, T. M.A. Basile, M. Biba, F. Esposito. Generalization-based Similarity
for Conceptual Clustering . In Proceedings of the 3rd International
Workshop on Mining Complex Data - (
2007
M. Biba, F. Esposito, S. Ferilli, N. Di Mauro, and T.M.A. Basile. Unsupervised Discretization
Using Kernel Density Estimation . In Proceedings of the 20th International
Joint Conference on Artificial Intelligence (IJCAI07), pp. 696-701, 2007.
S. Ferilli, T.M.A. Basile, N. Di
Mauro, M. Biba and F. Esposito. Similarity-Guided Clause
Generalization. Artificial Intelligence and Human-Oriented Computing, 10th
Congress of the Italian Association for Artificial Intelligence, AI*IA 2007,
LNCS 4733, pp.278-289, Springer 2007.
S. Ferilli, T.M.A. Basile, N. Di
Mauro, M. Biba, and F. Esposito. Generalizzazione di Clausole Basata Su Un Nuovo Criterio di Similarita'. In Proceedings of 22nd Italian
Conference on Computational Logic, CILC 2007.
M. Biba, S. Ferilli, N. Di Mauro, T.
M.A Basile. A Hybrid
Symbolic-Statistical Approach to Modeling Metabolic Networks .
Knowledge-Based Intelligent Information and Engineering Systems, 11th
International Conference,
M. Biba, S. Ferilli, F. Esposito, N.
Di Mauro, T.M.A Basile. A Fast Partial Memory
Approach to Incremental Learning through an Advanced Data Storage Framework .
In Proceedings of the 15th Italian Symposium on Advanced Database Systems, SEBD
2007, pp.52-63, ISBN 978-88-902981-0-3.
M. Biba, F. Esposito, S. Ferilli, N.
Di Mauro, T.M.A Basile. Mining Time-series Sequences of Reactions for
Biologically Active Patterns in Metabolic Pathways. In Proceedings of the 15th
Italian Symposium on Advanced Database Systems, SEBD 2007, pp. 40-51, ISBN
978-88-902981-0-3.
M. Biba, F. Esposito, S. Ferilli, T.
M.A Basile, N. Di Mauro. Multi-class Protein Fold Recognition through a
Symbolic-Statistical Framework. In Proceedings of CIBB 2007: 4th International
Meeting on Computational Intelligence Methods for Bioinformatics and
Biostatistics, LNCS 4578, pp. 666-673, Springer 2007.
2006
S. Ferilli, F. Esposito, N. Di Mauro, T.M.A Basile and M. Biba. INTHELEX system presentation:
An abduction framework for handling incompleteness in first-order learning .
In Proceedings of 5th Workshop on Abduction and Induction in AI and Scientific
Modelling (AIAI'06) at ECAI 2006.
S. Ferilli, N. Di Mauro, T.M.A.
Basile, F. Esposito and M. Biba. Automatic Topics
Identification For Reviewer Assignment . In Proceedings of The 19th
International Conference on Industrial, Engineering & Other Applications of
Applied Intelligent Systems (IEA/AIE'06), LNAI 4031, pp. 721-730, Springer
Verlag, 2006.
M. Biba, S. Ferilli, N. Di Mauro and
T.M.A Basile. Intelligent
Methodologies for Scientific Conference Management . In Founfations of
Intelligent Systems, Proceedings of the 16th International Symposium on
Methodologies for Intelligent Systems (ISMIS 2006), LNAI 4303, pp. 258-267,
Springer Verlag, 2006.
M. Biba, T.M.A Basile, S. Ferilli,
and F. Esposito. Improving
Scalability in ILP Incremental Systems . In Proceedings of 21st Italian
Conference on Computational Logic, CILC 2006.
M. Biba, S. Ferilli, T. M.A Basile,
N. Di Mauro and F. Esposito. Induction of Abstraction Theories Using
Unsupervised Discretization of Continuous Attributes. In
S. Ferilli, T.M.A. Basile, N. Di Mauro, M. Biba, F. Esposito. A New
Similarity Measure for Guiding Generalizations Search. In
Teaching
Spring 2010 – Security Engineering
Spring 2010 – Advanced Topics in Operating Systems
Fall 2009 – Operating Systems.
Fall 2009 – Computer Applications
Academic year 2008/2009 - Artificial Intelligence course
Academic year 2007/2008 - Advanced Programming Methods course
Academic year 2007/2008 - Knowledge Representation course
Academic year 2007/2008 - Algorithms and Data Structures course
Academic year 2006/2007 - Algorithms and Data Structures course
Academic year 2006/2007 - Knowledge Representation course
Academic year 2006/2007 - Knowledge Engineering and Expert Systems course
Academic year 2006/2007 - Advanced Programming Methods course
Software
I am currently developing MLN++,
a statistical relational learning system based on Markov Logic and built upon Alchemy .
INTHELEX
DOMINUS
Memberships
Association for Computing Machinery.
Institute of Electrical and Electronics Engineers.
IEEE Computer Society.
GULP - Italian Association for Logic Programming affiliated to Association for
Logic Programming (ALP).
Professional Service
Track Chair: Artificial Intelligence and Agent
Technology
CISIS2011- The Fifth International
Conference on Complex, Intelligent, and Software Intensive Systems
Program
Committee
AICCSA-2010 -
PPSN-2010 - 11th
International Conference on Parallel Problem Solving From Nature, 2010.
Organizing
Committee
BIO-LOGICAL 2009: Logic-based Approaches to Bioinformatics. Reggio Emilia, in conjunction with International Conference on Artificial Intelligence organized by the Italian Association of Artificial Intelligence AIxIA, December 2009.
Reviewer:
International Joint Conference on Artificial Intelligence (IJCAI'07).
European Conference on Artificial Intelligence (ECAI'06, ECAI'08).
Twenty-Fifth Conference on Artificial Intelligence (AAAI-11)
European Conference of Machine Learning/Knowledge Discovery
in Databases (ECML/PKDD'06, ECML/PKDD'07, ECML/PKDD'08, ECML/PKDD'09).
ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD'09).
International Conference on Inductive Logic Programming (ILP'06, ILP'07,
ILP'08).
Workshop on Multi-Relational Data Mining (MRDM'07).
IEEE International Conference on Data Mining (ICDM'06, ICDM'08).
IEEE Symposium on Computational Intelligence and Data Mining (CIDM'07,
CIDM'09).
International Conference on Advanced Data Mining and Applications (ADMA'09).
International Workshop on Mining Complex Data. (
International Conference on Pattern Recognition (ICPR'08)
International Conference On Document Analysis And Recognition (ICDAR'07)
Italian Association for Artificial Intelligence (AI*IA'07)
International Symposium on Methodologies for Intelligent Systems
(ISMIS'06,ISMIS'08)
International Joint Conference Intelligent Information Systems (IIS'09).
International Conference on Advanced Intelligence (ICAI'08).
International Conference on Industrial,Engineering \& Other Applications of
Applied Intelligent Systems (IEA/AIE'07,IEA/AIE'08,IEA/AIE'09).
International Meeting on Computational Intelligence Methods for Bioinformatics
and Biostatistics (CIBB'07, CIBB'08, CIBB'09).
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09).
International Uncertainty Reasoning Workshop at ISCW 2008 (URSW'08).
International Conference on Knowledge-Based and Intelligent Information &
Engineering Systems (
European Conference on Research and Advanced Technology for Digital Libraries
(ECDL'06,ECDL'07,ECDL'08,ECDL'09).
IEEE International Conference on Document Image Analysis for Libraries
(DIAL'06).
International Conference on Agents and Artificial Intelligence (ICAART'09)
Prestigious Applications of Intelligent Systems. (PAIS'08).
International Journal on Knowledge and Information Systems.
Neurocomputing Journal.
Neural Networks Journal.
Other activities
July 2007 - I attended the Lipari
summer school on "Proteomes and Proteins", A Course Jointly
Organized by The International School of Advanced BioMedicine and
BioInformatics and by The Lipari International School for Computer Science
Researchers