Bruno Lepri spends much of his time researching Artificial intelligence, Machine learning, Mobile phone, Big Five personality traits and Personality. He conducts interdisciplinary study in the fields of Artificial intelligence and Attractiveness through his research. His research integrates issues of Stress and Quality of life in his study of Machine learning.
His Mobile phone research integrates issues from Regional science, Urban studies and Census. The concepts of his Personality study are interwoven with issues in Cognitive psychology, Human–computer interaction and Social network. The study incorporates disciplines such as Big Five personality traits and culture, Computer vision and Set in addition to Extraversion and introversion.
Bruno Lepri mostly deals with Artificial intelligence, Personality, Mobile phone, Big Five personality traits and Cognitive psychology. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing. His work on Extraversion and introversion and Alternative five model of personality as part of general Personality study is frequently linked to Trait, bridging the gap between disciplines.
His Mobile phone study integrates concerns from other disciplines, such as Social relation, Social media and Internet privacy. His Internet privacy research includes elements of Order and Personally identifiable information. His Big Five personality traits study frequently draws connections to other fields, such as Social network.
The scientist’s investigation covers issues in Artificial intelligence, Pandemic, Developmental psychology, Control and Data collection. In his study, Bruno Lepri carries out multidisciplinary Artificial intelligence and Structure research. His Pandemic research is multidisciplinary, relying on both Contact tracing and Severe acute respiratory syndrome coronavirus 2.
His study in Developmental psychology is interdisciplinary in nature, drawing from both Context and Facial expression. He focuses mostly in the field of Psychological intervention, narrowing it down to topics relating to Information exchange and, in certain cases, Mobile phone. His work carried out in the field of Mobile phone brings together such families of science as Open data and World population.
His main research concerns Pandemic, Control, Artificial intelligence, Scale and Contact tracing. His Artificial intelligence study frequently draws connections between adjacent fields such as Data science. He has included themes like Phase, Order and Internet privacy in his Scale study.
In his research on the topic of Psychological intervention, Mobile phone is strongly related with Economic growth. His Mobile phone research includes themes of Information exchange and Location intelligence. His Representation study incorporates themes from Pattern recognition, Translation and Interpolation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.
Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte.
Science Advances (2020)
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.
Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte.
Science Advances (2020)
Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges
Bruno Lepri;Nuria Oliver;Emmanuel Letouzé;Alex Pentland.
Philosophy & Technology (2018)
Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges
Bruno Lepri;Nuria Oliver;Emmanuel Letouzé;Alex Pentland.
Philosophy & Technology (2018)
Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data
Andrey Bogomolov;Bruno Lepri;Jacopo Staiano;Nuria Oliver.
international conference on multimodal interfaces (2014)
Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data
Andrey Bogomolov;Bruno Lepri;Jacopo Staiano;Nuria Oliver.
international conference on multimodal interfaces (2014)
Friends don't lie: inferring personality traits from social network structure
Jacopo Staiano;Bruno Lepri;Nadav Aharony;Fabio Pianesi.
ubiquitous computing (2012)
Friends don't lie: inferring personality traits from social network structure
Jacopo Staiano;Bruno Lepri;Nadav Aharony;Fabio Pianesi.
ubiquitous computing (2012)
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Gianni Barlacchi;Marco De Nadai;Roberto Larcher;Antonio Casella.
Scientific Data (2015)
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Gianni Barlacchi;Marco De Nadai;Roberto Larcher;Antonio Casella.
Scientific Data (2015)
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