 | 2009 |
| 12 |  | Antonio Gentile,
Roberto Pirrone,
Giuseppe Russo:
Knowledge Discovery and Digital Cartography for the ALS (Linguistic Atlas of Sicily) Project.
AI*IA 2009: 456-465 |
| 2008 |
| 11 |  | Roberto Pirrone,
Vincenzo Cannella,
Giuseppe Russo:
GAIML: A New Language for Verbal and Graphical Interaction in Chatbots.
CISIS 2008: 715-720 |
| 10 |  | Roberto Pirrone,
Giuseppe Russo,
Pierluca Sangiorgi,
Nunzio Ingraffia,
Claudia Vicari:
A Semantic Similarity Measure for the SIMS Framework.
KES (3) 2008: 285-292 |
| 9 |  | Vincenzo Cannella,
Giuseppe Russo,
Daniele Peri,
Roberto Pirrone,
Salvatore Gaglio:
An Intelligent Assistant for Medical Knowledge Discovery.
SEBD 2008: 133-143 |
| 8 |  | Vincenzo Cannella,
Giuseppe Russo,
Roberto Pirrone:
Towards MKDA: A Data Mining Semantic Web Service.
WEBIST (1) 2008: 129-134 |
| 7 |  | Vincenzo Cannella,
Giuseppe Russo,
Pierluca Sangiorgi,
Roberto Pirrone:
A Combined Fuzzy Semantic Similarity Measure in OWL Ontologies.
WEBIST (2) 2008: 181-186 |
| 6 |  | Roberto Pirrone,
Giuseppe Russo,
Vincenzo Cannella,
Daniele Peri:
GAIML: A new language for verbal and graphical interaction in chatbots.
Mobile Information Systems 4(3): 195-209 (2008) |
| 2007 |
| 5 |  | Vincenzo Cannella,
Giuseppe Russo,
Daniele Peri,
Roberto Pirrone,
Edoardo Ardizzone:
Towards MKDA: A Knowledge Discovery Assistant for Researches in Medicine.
AI*IA 2007: 773-780 |
| 4 |  | Roberto Pirrone,
Giovanni Pilato,
Riccardo Rizzo,
Giuseppe Russo:
Semantics Driven Interaction Using Natural Language in Students Tutoring.
KES (3) 2007: 720-727 |
| 2005 |
| 3 |  | Roberto Pirrone,
Giovanni Pilato,
Riccardo Rizzo,
Giuseppe Russo:
Learning Path Generation by Domain Ontology Transformation.
AI*IA 2005: 359-369 |
| 2 |  | Roberto Pirrone,
Massimo Cossentino,
Giovanni Pilato,
Riccardo Rizzo,
Giuseppe Russo:
Discovering Learning Paths on a Domain Ontology Using Natural Language Interaction.
IEA/AIE 2005: 310-314 |
| 2003 |
| 1 |  | Stefania Colonnese,
Alessandro Neri,
Giuseppe Russo,
Gaetano Scarano:
Spatially adaptive HOS-based motion detection for video sequence segmentation.
VCIP 2003: 2015-2025 |