Nicola Di Mauro

ndm Ricercatore (Assistant Professor)
Dipartimento di Informatica
Università degli Studi di Bari "Aldo Moro"
Via Orabona, 4
70126 Bari - Italy

phone: +39 080 544 2297
fax: +39 080 544 3196
email: n1col4.d1m4uro un1b4.1t (replace 1 with i, 4 with a, and insert @ between o and u)

Dipartimento di Informatica

[ Reserch Interests | CV and Short Bio | Activities | Projects | Publications | Systems | Teaching (in italian) ]
Position : Assistant Professor at the Department of Computer Science, University of Bari "Aldo Moro", Italy.

Research Interests

Short Bio



Organizing Committee Member

Program Committee Member

IJAIA - International Journal of Artificial Intelligence and Application, SERSC


International Tutorials

PhD students


European projects

National projects

Regional projects



Statistical Relational Learning

RIB: Relational Information Bottleneck
Applying the Information Bottleneck Approach to SRL: Learning LPAD Parameters
Probabilistic Models for Relational (Sequence) Learning

Clustering-Grouping Problem

ELK: Algorithms for cooperative grouping (partitioning) problem
ELK is a system implementing some algorithms for solving the coalition structure formation (CSF) (and/or set partitioning) problem.

Inductive Logic Programming

An Inductive Logic Programming (ILP) algorithm for discovering first-order (DATALOG) maximal frequent patterns in multi-dimensional relational sequences.
INTHELEX: INcremental THeory Learner from EXamples
An incremental learning system for the induction of hierarchical logic theories expressed as sets of Datalog clauses under Object Identity from positive and negative examples.
A matching procedure for theta-subsumption
A procedure for the complete computation of all solutions to theta-subsumption between Horn clauses
Learner of relational concepts based on a stochastic propositionalization technique.
RBK (Random Backtracking Depth First Search)
A randomization strategy for ILP, similar to a restart strategy, able to randomly jump in the clause lattice to skip some portion of it.
MILE (Mode-Declarations Incremental Learner from Examples)
An incremental algorithm that induces mode declarations from instances of relational concept.

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