Mauro Gisgand speaks at the seminar on ‘‘European company law and company mobility in the context of digitalisation in the light of EU Directives 2017/1132, 2019/1151 and 2019/2021’’
On Monday 14 November, DIKE member Mauro Gisgand will speak at the seminar on ‘‘European company law and company mobility in the context of digitalisation in the light of EU Directives 2017/1132, 2019/1151 and 2019/2021’’ in Paris.
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"An Intelligent Interface for Human-Computer Interaction in Legal Domain": THE PAPER CO-AUTHORED BY MARCO GIACALONE PUBLISHED FOR 3PGCIC 2022
Technological evolution and advances in the field of artificial intelligence have brought about considerable transformations in every area of our lives, also changing our various needs.
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THE PAPER OF MARCO GIACALONE AND SAJEDEH SALEHI ON 'An Empirical Study on Mediation in Civil and Commercial Disputes in Europe: The Mediation Service Providers Perspective' IS PUBLISHED AT THE ITALIAN-SPANISH JOURNAL OF PROCEDURE LAW (RIEDP)
The latest issue of The Italian-Spanish Journal of Procedure Law (RIEDP) has publsihed the paper of Dr.
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The paper of Marco Giacalone and Sajedeh Salehi on 'Small Claims and the Pursuit of (Digital) Justice: A Tiered Online Dispute Resolution Perspective' is published at The Italian-Spanish Journal of Procedure Law (RIEDP)
The latest issue of The Italian-Spanish Journal of Procedure Law (RIEDP) has publsihed the paper of Dr.
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DIKE Research Group at Stanford University presenting CREA project
We are very proud to announce that today Prof. Elisabeth Alofs, Dr. Marco Giacalone and Dr.
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"A Review About Machine and Deep Learning Approaches for Intelligent User Interfaces": the paper co-authored by Marco Giacalone published for AINA 2022
The last few years have seen a huge explosion in the use of Machine Learning (ML)-based approaches, particularly Deep Neural Networks (DNNs) in a variety of fields, to solve complex prediction problems, or in industry to provide a very effective predictive maintenance system for equipment, or in the...
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"A Survey on Neural Recommender Systems: Insights from a Bibliographic Analysis": the paper co-authored by Marco Giacalone published for AINA 2022
In recent years, deep learning has gotten a lot of attention, notably in fields like Computer Vision and Natural Language Processing. With the growing amount of online information, recommender systems have shown to be an effective technique for coping with information overload.
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