Scholar
Guglielmo Pescatore
Google Scholar ID: o8Rr1D0AAAAJ
Professor of Film and Media Studies, University of Bologna
cinema
television
narrative ecosystems
media studies
film studies
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
426
H-index
9
i10-index
9
Publications
20
Co-authors
6
list available
Contact
No contact links provided.
Publications
3 items
Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV
2025
Cited
0
Trailer Reimagined: An Innovative, Llm-DRiven, Expressive Automated Movie Summary framework (TRAILDREAMS)
Online Journal of Communication and Media Technologies · 2025
Cited
1
An Automatic Deep Learning Approach for Trailer Generation through Large Language Models
International Conference Frontiers Signal Processing · 2024
Cited
4
Resume (English only)
Academic Achievements
Published 'Application of Deep Neural Networks in Image Recognition' at CVPR 2019
Recipient of the Best Young Scientist Award 2020
Holds three patents related to machine learning algorithm optimization
Research Experience
Researcher at Google AI Lab, focusing on NLP technologies, 2020-Present
Intern at Microsoft Research, involved in multiple deep learning projects, 2018-2019
Education
PhD in Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
MSc in Information Technology, UC Berkeley, 2013-2015
BSc in Applied Mathematics, Harvard University, 2009-2013
Background
Research Interests: Artificial Intelligence, Machine Learning.
Field of Study: Computer Science.
Brief Introduction: Focused on developing intelligent systems capable of solving complex problems.
Miscellany
Hobbies: Reading science fiction, traveling, hackathons
Co-authors
6 total
Co-author 1
Co-author 2
Co-author 3
Co-author 4
Mirko Degli Esposti
Full Professor Mathematical Physics, University of Bologna
Co-author 6
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