Ivano Lauriola

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Multiclass Problems

Categorical Data

Kernel Learning

Language Processing

Top Venues

Publications

Stefano Campese, Ivano Lauriola, Alessandro Moschitti
Pre-Training Methods for Question Reranking. EACL (2) (2024)
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval. EMNLP (Findings) (2023)
Liang Wang, Ivano Lauriola, Alessandro Moschitti
Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users. ACL (industry) (2023)
Stefano Campese, Ivano Lauriola, Alessandro Moschitti
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval. CoRR (2023)
Ivano Lauriola, Kevin Small, Alessandro Moschitti
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. LREC (2022)
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. Neurocomputing 470 (2022)
Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert
FocusQA: Open-Domain Question Answering with a Context in Focus. EMNLP (Findings) (2022)
Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli
Exploring the structure of BERT through Kernel Learning. IJCNN (2021)
Ivano Lauriola, Alessandro Moschitti
Answer Sentence Selection Using Local and Global Context in Transformer Models. ECIR (1) (2021)
Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
Learning adaptive representations for entity recognition in the biomedical domain. J. Biomed. Semant. 12 (1) (2021)
Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
Exploring the feature space of character-level embeddings. ESANN (2020)
Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. 101 (2020)
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
Automatic Detection of Cross-language Verbal Deception. CogSci (2020)
Ivano Lauriola, Alessandro Moschitti
Context-based Transformer Models for Answer Sentence Selection. CoRR (2020)
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text. LREC (2020)
Ivano Lauriola, Fabio Aiolli
Monotone Deep Spectrum Kernels. ICANN (1) (2020)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
Learning deep kernels in the space of monotone conjunctive polynomials. Pattern Recognit. Lett. 140 (2020)
Ivano Lauriola, Fabio Aiolli
MKLpy: a python-based framework for Multiple Kernel Learning. CoRR (2020)
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
Language processing in the era of deep learning. ESANN (2020)
Agnieszka Kolasinska, Ivano Lauriola, Giacomo Quadrio
Do people believe in Artificial Intelligence?: A cross-topic multicultural study. GOODTECHS (2019)
Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli
Playing the Large Margin Preference Game. ICANN (2) (2019)
Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation. ICANN (Workshop) (2019)
Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli
Psychiatric Disorders Classification with 3D Convolutional Neural Networks. INNSBDDL (2019)
Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
A Preference-Learning Framework for Modeling Relational Data. INNSBDDL (2019)
Ivano Lauriola, Riccardo Sella, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
Learning Representations for Biomedical NER. NL4AI@AI*IA (2018)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
The minimum effort maximum output principle applied to Multiple Kernel Learning. ESANN (2018)
Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
Learning Preferences for Large Scale Multi-label Problems. ICANN (1) (2018)
Mirko Polato, Ivano Lauriola, Fabio Aiolli
A Novel Boolean Kernels Family for Categorical Data. Entropy 20 (6) (2018)
Ivano Lauriola
Learning Deep Representations for Natural Language Processing Applications. DC@AI*IA (2018)
Ivano Lauriola, Michele Donini, Fabio Aiolli
Learning dot-product polynomials for multiclass problems. ESANN (2017)
Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa
Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. ESANN (2017)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning. ICANN (2) (2017)
Mirko Polato, Ivano Lauriola, Fabio Aiolli
Classification of Categorical Data in the Feature Space of Monotone DNFs. ICANN (2) (2017)