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Journal Articles
- 2021
[j4]Giosuè Lo Bosco
, Giovanni Pilato, Daniele Schicchi:
DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages. Array 12: 100097 (2021)- [j3]Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework. J. Vis. Lang. Comput. 2021(2): 33-38 (2021) - [j2]Teresa Alcamo, Alfredo Cuzzocrea, Giovanni Pilato, Daniele Schicchi:
Sentiment Mining and Analysis over Text Corpora via Complex Deep Learning Neural Architectures. J. Data Intell. 2(4): 448-461 (2021) - 2018
- [j1]Daniele Schicchi, Giovanni Pilato:
Portmanteau word-play for vocabulary enhancement with humanoid robot support. Encycl. Semantic Comput. Robotic Intell. 2(1): 1850006:1-1850006:8 (2018)
Conference and Workshop Papers
- 2024
- [c22]Marco Arrigo, Mariella Farella, Giovanni Fulantelli, Daniele Schicchi, Davide Taibi:
A Task-Interaction Framework to Monitor Mobile Learning Activities Based on Artificial Intelligence and Augmented Reality. XR (1) 2024: 325-333 - 2023
- [c21]Gabriella Casalino, Mattia Di Gangi, Francesco Ranieri, Daniele Schicchi, Davide Taibi:
EasyDKT: an Easy-to-use Framework for Deep Knowledge Tracing. AIxEDU@AI*IA 2023 - [c20]Daniele Schicchi, Apoorva Upadhyaya, Marco Fisichella, Davide Taibi:
Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper). AIxEDU@AI*IA 2023 - [c19]Daniele Schicchi, Davide Taibi:
AI-Driven Inclusion: Exploring Automatic Text Simplification and Complexity Evaluation for Enhanced Educational Accessibility. HELMeTO 2023: 359-371 - 2022
- [c18]Roberto Barbera, Francesca Condorelli, Giuseppe Di Gregorio, Giuseppe Di Piazza, Mariella Farella, Giosuè Lo Bosco, Andrey Megvinov, Daniele Pirrone, Daniele Schicchi, Antonino Zora:
A Case Study for the Design and Implementation of Immersive Experiences in Support of Sicilian Cultural Heritage. ICIAP Workshops (1) 2022: 174-185 - 2021
- [c17]Daniele Schicchi, Benedetto Marino, Davide Taibi:
Exploring Learning Analytics on YouTube: a tool to support students' interactions analysis. CompSysTech 2021: 207-211 - [c16]Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
Towards A Deep-Learning-Based Methodology for Supporting Satire Detection (S). DMSVIVA 2021: 92-96 - [c15]Gabriella Casalino, Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
A Novel Approach for Supporting Italian Satire Detection Through Deep Learning. FQAS 2021: 170-181 - [c14]Gabriella Casalino, Luca Grilli, Alfonso Guarino, Daniele Schicchi, Davide Taibi:
Intelligent Knowledge Understanding from Students Questionnaires: A Case Study. HELMeTO 2021: 74-86 - [c13]Carla Limongelli, Daniele Schicchi, Davide Taibi:
Enriching Didactic Similarity Measures of Concept Maps by a Deep Learning Based Approach. IV 2021: 261-266 - [c12]Angelo Luigi Megna, Daniele Schicchi, Giosuè Lo Bosco, Giovanni Pilato:
A Controllable Text Simplification System for the Italian Language. ICSC 2021: 191-194 - [c11]Gabriella Casalino, Luca Grilli, Pierpaolo Limone, Domenico Santoro, Daniele Schicchi:
Deep learning for knowledge tracing in learning analytics: an overview. teleXbe 2021 - [c10]Gabriella Casalino, Barbara Cafarelli, Emiliano del Gobbo, Lara Fontanella, Luca Grilli, Alfonso Guarino, Pierpaolo Limone, Daniele Schicchi, Davide Taibi:
Framing automatic grading techniques for open-ended questionnaires responses. A short survey. teleXbe (2) 2021 - 2020
- [c9]Teresa Alcamo, Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora. iiWAS 2020: 91-96 - [c8]Daniele Schicchi, Giovanni Pilato, Giosuè Lo Bosco:
Deep Neural Attention-Based Model for the Evaluation of Italian Sentences Complexity. ICSC 2020: 253-256 - 2019
- [c7]Daniele Schicchi, Giosuè Lo Bosco, Giovanni Pilato:
Machine Learning Models for Measuring Syntax Complexity of English Text. BICA 2019: 449-454 - [c6]Alfredo Cuzzocrea, Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
Multi-class Text Complexity Evaluation via Deep Neural Networks. IDEAL (2) 2019: 313-322 - 2018
- [c5]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Recurrent Deep Neural Network Model to measure Sentence Complexity for the Italian Language. AIC 2018: 90-97 - [c4]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Sentence based System for Measuring Syntax Complexity using a Recurrent Deep Neural Network. NL4AI@AI*IA 2018: 95-101 - [c3]Giosuè Lo Bosco, Giovanni Pilato, Daniele Schicchi:
A Neural Network model for the Evaluation of Text Complexity in Italian Language: a Representation Point of View. BICA 2018: 464-470 - [c2]Daniele Schicchi, Giovanni Pilato:
A Social Humanoid Robot as a Playfellow for Vocabulary Enhancement. IRC 2018: 205-208 - 2017
- [c1]Daniele Schicchi, Giovanni Pilato:
WORDY: A Semi-automatic Methodology Aimed at the Creation of Neologisms Based on a Semantic Network and Blending Devices. CISIS 2017: 236-248
Editorship
- 2024
- [e1]Daniele Schicchi, Davide Taibi, Marco Temperini:
Proceedings of the First International Workshop on High-performance Artificial Intelligence Systems in Education co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy, Novembre 6, 2023. CEUR Workshop Proceedings 3605, CEUR-WS.org 2024 [contents]
Coauthor Index
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