Licari D, Comandé G, 
ITALIAN-LEGAL-BERT: A Pre-trained Transformer Language Model for Italian Law, The Knowledge Management for Law Workshop (KM4LAW), CEUR Workshop Proceedings. 2022.

Licari, D., Romano, M. F., & Comandé, G. (2022).
Automatic Anonymization of Italian Legal Textual Documents using Deep Learning. 16th International Conference on Statistical Analysis of Textual Data (JADT22) Proceedings, 2, 552–559. 

Gionfriddo, G., Licari, D., & Testa, F. (2022). Overcoming Reductionist CSR: Empirical Evidence on the Formative Movement from CSR Talk to CSR Walk. Academy of Management Proceedings, 2022, 10317. Academy of Management Briarcliff Manor, NY 10510.

Amram, D. 
The Role of the GDPR in Designing the European Strategy on Artificial Intelligence: Law-Making Potentialities of a Recurrent Synecdoche 
1-24 OPINIO JURIS IN COMPARATIONE (2020) 
Issue nr. : 1 

Amram, D. 
Building up the “Accountable Ulysses” model. The impact of GDPR and national implementations, ethics, and health-data research: Comparative remarks. 
1-7 COMPUTER LAW & SECURITY REPORT (2020) 
Issue nr. : 1 

Amram, D. 
Responsabilità, danno e accountability nella società dell’informazione 
243-247 DANNO E RESPONSABILITÀ (2019) 
Issue nr. : 1 

Amram, D. 
L’Ulisse accountable. Ricerca e protezione dei dati concernenti la salute: il tentativo di armonizzazione al livello europeo post GDPR e le interpretazioni offerte dai sistemi irlandese, belga, spagnolo e italiano 
209-223 RIVISTA ITALIANA DI MEDICINA LEGALE E DEL DIRITTO IN CAMPO SANITARIO (2019) 
Issue nr. : 1 

Amram, D. 
Orientare l’interprete tra vecchi dilemmi, nuove interpretazioni e prospettive future 
153-154 DANNO E RESPONSABILITÀ (2019) 
Issue nr. : 1 

Amram, D.; Comande, G. 
SUL NON FACILE COORDINAMENTO DEGLI OBBLIGHI IMPOSTI DAL REGOLAMENTO EUROPEO SULLA PROTEZIONE DEI DATI PERSONALI UE/679/2016 E DALLA LEGGE N. 24/2017 
1-7 RIVISTA ITALIANA DI MEDICINA LEGALE E DEL DIRITTO IN CAMPO SANITARIO (2018) 
Issue nr. : 1 

Romano, Maria Francesca; Comande’, Giovanni; Pavone, Pasquale; Amram, Denise 
The challenges of legal analysis between text mining and machine learning 
8 Presse Universitaire 
Volume nr. : 1 
Issue nr. : 1 

Amram, D. 
La tutela dei dati personali degli utenti vulnerabili nell’IOT, in G. Cassano – S. Previti (a cura di), Il diritto di Internet nell’era digitale, 2020, Giuffré Francis Lefebvre, isbn 9788828821588, p. 401 ss. 
401-409 Il diritto di Internet nell’era digitale Giuffrè Francis Lefebvre (2020) 
Volume nr. : 1 
Issue nr. : 1 

Amram, Denise.; Comandé, Giovanni.; Lamanuzzi, Marta. 
LA VIOLAZIONE DELLA PRIVACY IN SANITÀ, TRA DIRITTO CIVILE E DIRITTO PENALE 
563-573 Itinerari di medicina legale e delle responsabilità in campo sanitario Giappichelli (2020) 
Volume nr. : 1 
Issue nr. : 1  

Amram, D. 
Scioglimento dell’unione civile: assegno di mantenimento 
93-103 L’assegno nella separazione e nel divorzio KEY EDITORE (2019) 
Volume nr. : 1 
Issue nr. : 1 

Amram, D. 
L’ASSEGNO DI MANTENIMENTO PER I FIGLI 
85-92 L’assegno nella separazione e nel divorzio Key Editore (2019) 
Volume nr. : 1 
Issue nr. : 1 

Amram, D. 
Art. 51. Principi generali. 
223-226 Il Codice della Privacy. Commento al D.Lgs. 30 giugno 2003, n. 196 e al D.Lgs. 10 agosto 2018, n. 101 alla luce del Regolamento (UE) 2016/679 (GDPR) Pacini Editore (2019) 
Volume nr. : 1 
Issue nr. : 1

Amram D.
Identifying and Calculating Personal Injury Damages in Ireland, Italy, France and Belgium: Recent Debates between Scholars, Judges and Practitioners
113-122 Damages and Compensation Culture. Comparative Perspectives Hart Publishing (2016) 
Issue nr. : 1 

Romano, M.; Comande’, Giovanni; Amram, D.; Pavone, P. 
The challenges of legal analysis, between text mining and machine learning. Panel: Big brother, big data or both? Protecting privacy in the era of big data, in BigSurv20, 6.11.2020, Amsterdam 
1-1 BigSurv20 (2020) 
Issue nr. : 1 

Amram, D. 
Children as Vulnerable IoT Users and GDPR 
1 Final Program and Book of Abstracts Proceedings of the 5th International Conference on Information Systems Security and Privacy Scitepress (2019) 
Issue nr. : 1 

Comande’, Giovanni; Pedreschi, Dino; Amram, Denise; Panigutti, Cecilia; Tripodi, Giorgio 
Causality and Explanation in ML: a Lead from the GDPR and an Application to Personal Injury Damages 
3-21 Conference on Data Science and Law at ETH . (2019) 
Issue nr. : 1 

Amram, D. 
Data Protection and New Technologies: New Challenges For Children’s Rights Protection 
1 Conference Proceedings International Society of Family Law (2019) 
Issue nr. : 1 

Amram, D. 
Litigation & Forensic Science & Biomechanics: New Skills & Competence for Lawyers 
1 Irish Association of Law Teachers (2017) 
Issue nr. : 1 

Amram, D. 
Big Data, Ethics and Comparative Law: an Interdisciplinary Approach 
23-23 Final Program and Book of Abstracts. 2nd International Conference on Information System Security and Privacy Scitepress (2016) 
Issue nr. : 1 

Amram, D. 
Big Data Analysis and Privacy Implications: New Challenges for Comparative Law 
1 Irish Society of Comparative Law (2015) 
Issue nr. : 1

AA.VV. G. Comandé – G.Malgieri (a cura di)
Guida al trattamento e alla sicurezza dei dati personali. Le opportunità e le sfide del Regolamento UE e del Codice italiano riformato.
IlSole24Ore (2019)

AA.VV. G. Comandé – G. Malgieri (a cura di)
Manuale per il trattamento dei dati personali. Le opportunità e le sfide del nuovo Regolamento europeo sulla Privacy.
Il Sole 24 ore (2018)

D Nandy, F Chiaromonte, R Li – Journal of the American Statistical Association, 2020 
Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems 

A Kenney, F Chiaromonte, G Felici – Journal of Computational and Graphical Statistics, 2020
MIP-BOOST: Efficient and Effective L 0 Feature Selection for Linear Regression 

Comandé, G.  
Unfolding the Legal Component of Trustworthy AI: A must to avoid Ethics Washing1 in Annuario di Diritto Comparato e di Studi Legislativi, 2020, Edizioni Scientifiche Italiane
https://www.iris.sssup.it/handle/11382/535754#.X_n31thKjIU 

Comandé, Giovanni; Mirco Nanni; Gennady Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; Josep Domingo-Ferrer; Paolo Ferragina; Fosca Giannotti; Riccardo Guidotti; Dirk Helbing; Kimmo Kaski; Janos Kertesz; Sune Lehmann; Bruno Lepri; Paul Lukowicz; Stan Matwin; David Megías Jiménez; Anna Monreale; Katharina Morik; Nuria Oliver; Andrea Passarella; Andrea Passerini; Dino Pedreschi; Alex Pentland; Fabio Pianesi; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Arno Siebes; Roberto Trasarti; Jeroen van den Hoven; Alessandro Vespignani),  
“Give more data, awareness and control to individual citizens, and they will help COVID-19 containment” in Transactions on Data Privacy, Volume 13, Issue 1, April 2020, April 2020 
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment    (sssup.it) 

Comandé, G. 
Intelligenza artificiale e responsabilità tra «liability» e «accountability». Il carattere trasformativo dell’IA e il problema della responsabilità in Analisi Giuridica dell’Economia, Fasc. 1/2019, pp 169-188
https://www.iris.sssup.it/handle/11382/531030#.X_n4INhKjIU  

Comandé, G. 
Opinion by Giovanni Comandé; “The Rotting Meat Error: From Galileo to Aristotle in Data Mining?”, in European Data Protection Law Review (2018), Volume 4, Issue 3, pages 270-277
https://www.iris.sssup.it/handle/11382/524171#.X_n4XdhKjIU  

Comandé, G.; Schneider, G. “Regulatory Challenges of Data Mining Practices: The Case of the Never-ending Lifecycles of ‘Health Data’” (2018), in European Journal of Health Law, Volume 25, Issue 3, pages 284 – 307
https://www.iris.sssup.it/handle/11382/523853#.X_n5SNhKjIU 

Comandé, G.; Malgieri, G.
Sensitive-by-distance: quasi-health data in the algorithmic era (2017), in Information & Communications Technology Law, Vol. 26, Iss. 3, p. 229-249.
https://www.iris.sssup.it/handle/11382/520996#.X_n6ENhKjIU 

Comandé, G.; Malgieri, G. Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation” (2017), in International Data Privacy Law, Volume 7, Issue 4, Pages 243–265).
https://www.iris.sssup.it/handle/11382/520983#.X_n6nNhKjIU  

Comandé, G. 
Multilayered (Accountable) Liability for Artificial Intelligence, in “Liability for Artificial Intelligence and the Internet of Things” a cura di Sebastian Lohsse, Reiner Schulze, Dirk Staudenmayer, pp 165-187, ISBN: 978-3-8487-5293-5, Hart Publishing Nomos, 2019
https://www.iris.sssup.it/handle/11382/525570#.X_n8PNhKjIU  

Comandé, G.
Responsabilità eaccountability nell’era dell’Intelligenza Artificiale in “Giurisprudenza e Autorità Indipendenti nell’epoca del diritto liquido”, a cura di  F. Di Ciommo, O. Troiano, La Tribuna S.R.L. 2018, isbn:9788893179799, pp 1001-1013
https://www.iris.sssup.it/handle/11382/525087#.X_n9_dhKjIU  

Comandé, G. 
Regulating algorithms regulation? First ethico-legal principles, problems and opportunities of algorithms, in Tania Cerquitelli, Daniele Quercia, Frank Pasquale (eds), Towards glass-box data mining for Big and Small  Data, Springer International, 2017, 169-2
https://www.iris.sssup.it/handle/11382/521016#.X_n-49hKjIU 

Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, and Karim Benyekhlef
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain,
in the Proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), Madrid, Spain, December 11-13, 2019
https://sites.hofstra.edu/vern-walker/2020/09/13/computer-assisted-creation-of-boolean-search-rules/

Hannes Westermann, Vern R. Walker, Kevin D. Ashley, and Karim Benyekhlef
Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice
in the Proceedings of the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), Montreal, Canada, June 17-21, 2019
https://sites.hofstra.edu/vern-walker/2019/12/05/factors-predict-landlord-tenant-decisions/

Licari D., Rampino S., Barone V., 
Machine Learning of Potential-Energy Surfaces Within a Bond-Order Sampling Scheme
International Conference on Computational Science and Its Applications, 388-400, 2019
https://link.springer.com/chapter/10.1007/978-3-030-24311-1_28

Licari D., Fusè M., Salvadori A., Tasinato N., Mendolicchio M., Mancini G., Barone V., 
Towards the SMART workflow system for computational spectroscopy
Physical Chemistry Chemical Physics 20 (41), 26034-26052, 2018 
https://pubs.rsc.org/ko/content/articlelanding/2018/cp/c8cp03417f/unauth#!divAbstract

Licari D., Mancini G., Brogni A., Salvadori A., Barone V. 
The SMART cyberinfrastructure: space-time multiscale approaches for research and technology
Computational Chemistry Methodology in Structural Biology and Materials, 2017
https://www.appleacademicpress.com/computational-chemistry-methodology-in-structural-biology-and-materials-sciences-/9781771885683

Licari D., Tasinato N., Spada L., Puzzarini C., Barone V., 
VMS-ROT: A new module of the virtual multifrequency spectrometer for simulation, interpretation, and fitting of rotational spectra 
Journal of chemical theory and computation 13 (9), 4382-4396, 2017 
https://pubs.acs.org/doi/abs/10.1021/acs.jctc.7b00533

Mendolicchio M., Penocchio E., Licari D., Tasinato N., Barone V.
Development and implementation of advanced fitting methods for the calculation of accurate molecular structures
Journal of Chemical Theory and Computation 13 (6), 3060-3075, 2017 
https://pubs.acs.org/doi/abs/10.1021/acs.jctc.7b00279

Romano MF, Morgante G, Baldassarini A, Di Vetta G, Pavone P (2020),
La misurazione della corruzione attraverso le sentenze della magistratura: una proposta metodologica con strumenti di text mining,
FEDERALISMI.IT, 33, pp. 164-187. 

Romano MF (2020), 
Methodological innovations to estimate illegal economy, in Dall’incertezza alla decisione consapevole: un percorso da fare insieme,
Atti della 13a Conferenza Nazionale di Statistica, ISTAT, 4-6 luglio 2018 ROMA, ISBN 9788845820168, pp 142-148. 

Romano MF, Baldassarini A, Pavone P (2020),
Text Mining of Public Administration documents: preliminary results on judgements,
Iezzi DF, Mayaffre D, Misuraca M (eds), Text Analytics: Advances and Challenges (Studies in Classification, Data Analysis, and Knowledge Organization), Springer 1st ed. 2020, ISBN: 9783030526795, pp. 117-126. 

Vern R. Walker, Krishnan Pillaipakkamnatt, Alexandra M. Davidson, Marysa Linares, and Domenick J. Pesce
Automatic Classification of Rhetorical Roles for Sentences: Comparing Rule-Based Scripts with Machine Learning
In the Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2019), as part of the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), Montreal, Canada, June 21, 2019
https://sites.hofstra.edu/vern-walker/2019/12/05/automatic-classification-rhetorical-roles-sentences/

Verne R. Walker 
The need for annotated corpora from legal documents, and for (human) protocols for creating them: The attribution problem,
paper presented at the 2016 Dagstuhl Seminar on Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments, held at Schloss Dagstuhl, in Wadern, Germany, on April 17-22, 2016.
https://sites.hofstra.edu/vern-walker/2019/12/04/dagstuhl2016/

Vern R. Walker , Stephen R. Strong , and Vern E. Walker
Automating the Classification of Finding Sentences for Linguistic Polarity 
Download PDF: 
http://ceur-ws.org/Vol-2764/paper6.pdf