151 citations
- University of PisaIT16 papers
- University of North TexasUS15 papers
- National Research CouncilLK8 papers
- Texas Woman's UniversityUS5 papers
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"IT3 papers
- Scuola Internazionale Superiore di Studi AvanzatiIT3 papers
- Duke UniversityUS2 papers
- Institute for Chemical and Physical ProcessesIT2 papers
- Instituto di BiofisicaES2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di CataniaIT2 papers
- United States Army Research OfficeUS2 papers
- Universitat Politècnica de CatalunyaES2 papers
24 papers
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
Marwane Kzadri, Franco Alberto Cardillo, Nanée Chahinian +3
Segmenting Synthetic Aperture Radar (SAR) images is crucial for many remote sensing applications, particularly water body detection. However, deep learning-based segmentation model…
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
Lorenzo Cima, Alessio Miaschi, Amaury Trujillo +3
AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is o…
Leveraging Encoder-only Large Language Models for Mobile App Review Feature Extraction
Quim Motger, Alessio Miaschi, Felice Dell'Orletta +2
Mobile app review analysis presents unique challenges due to the low quality, subjective bias, and noisy content of user-generated documents. Extracting features from these reviews…
T-FREX: A Transformer-based Feature Extraction Method from Mobile App Reviews
Quim Motger, Alessio Miaschi, Felice Dell'Orletta +2
Mobile app reviews are a large-scale data source for software-related knowledge generation activities, including software maintenance, evolution and feedback analysis. Effective ex…
PN-OWL: A Two Stage Algorithm to Learn Fuzzy Concept Inclusions from OWL Ontologies
Franco Alberto Cardillo, Franca Debole, Umberto Straccia
OWL ontologies are a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given a target class T of a…
Fuzzy OWL-BOOST: Learning Fuzzy Concept Inclusions via Real-Valued Boosting
Franco Alberto Cardillo, Umberto Straccia
OWL ontologies are nowadays a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given a target cla…