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Journal Articles
- 2021
[j2]Davide Bernardi
, Guy Doron, Michael Brecht, Benjamin Lindner:
A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation. PLoS Comput. Biol. 17(2) (2021)- 2018
- [j1]Rodrigo Felipe De Oliveira Pena, Sebastian Vellmer, Davide Bernardi, Antonio Carlos Roque, Benjamin Lindner:
Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks. Frontiers Comput. Neurosci. 12: 9 (2018)
Conference and Workshop Papers
- 2024
- [c9]Silvia Casola, Simona Frenda, Soda Marem Lo, Erhan Sezerer, Antonio Uva, Valerio Basile, Cristina Bosco, Alessandro Pedrani, Chiara Rubagotti, Viviana Patti, Davide Bernardi:
MultiPICo: Multilingual Perspectivist Irony Corpus. ACL (1) 2024: 16008-16021 - 2023
- [c8]Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi:
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses. ACL (industry) 2023: 235-247 - [c7]Andrea Caciolai, Verena Weber, Tobias Falke, Alessandro Pedrani, Davide Bernardi:
Regression-Free Model Updates for Spoken Language Understanding. ACL (industry) 2023: 538-551 - [c6]Simona Frenda, Alessandro Pedrani, Valerio Basile, Soda Marem Lo, Alessandra Teresa Cignarella, Raffaella Panizzon, Cristina Marco, Bianca Scarlini, Viviana Patti, Cristina Bosco, Davide Bernardi:
EPIC: Multi-Perspective Annotation of a Corpus of Irony. ACL (1) 2023: 13844-13857 - [c5]Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, Davide Bernardi:
Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering. IJCNLP (Findings) 2023: 412-430 - [c4]Simona Frenda, Soda Marem Lo, Silvia Casola, Bianca Scarlini, Cristina Marco, Valerio Basile, Davide Bernardi:
Does Anyone see the Irony here? Analysis of Perspective-aware Model Predictions in Irony Detection. NLPerspectives@ECAI 2023 - 2022
- [c3]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - 2018
- [c2]Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa:
Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic. ISC 2018: 463-480 - 2017
- [c1]Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa:
Real-time behavioral DGA detection through machine learning. ICCST 2017: 1-6
Editorship
- 2023
- [e1]Gavin Abercrombie, Valerio Basile, Davide Bernardi, Shiran Dudy, Simona Frenda, Lucy Havens, Elisa Leonardelli, Sara Tonelli:
Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, September 30th, 2023. CEUR Workshop Proceedings 3494, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2023
- [i3]Vittorio Mazzia, Alessandro Pedrani, Andrea Caciolai, Kay Rottmann, Davide Bernardi:
A Survey on Knowledge Editing of Neural Networks. CoRR abs/2310.19704 (2023) - 2022
- [i2]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - 2018
- [i1]Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa:
Fast Flux Detection via Data Mining on Passive DNS Traffic. CoRR abs/1804.06316 (2018)
Coauthor Index
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