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06/05/2023
Using Sequences of Life-events to Predict Human Lives
Over the past decade, machine learning has revolutionized computers' abi...
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06/02/2023
Large Language Models Converge on Brain-Like Word Representations
One of the greatest puzzles of all time is how understanding arises from...
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02/11/2023
Dialectograms: Machine Learning Differences between Discursive Communities
Word embeddings provide an unsupervised way to understand differences in...
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05/18/2022
Neighbourhood matching creates realistic surrogate temporal networks
Temporal networks are essential for modeling and understanding systems w...
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01/06/2022
The effect of co-location of human communication networks
The ability to rewire ties in communication networks is vital for large-...
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07/22/2021
Recovering lost and absent information in temporal networks
The full range of activity in a temporal network is captured in its edge...
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11/13/2020
Ambient heat and human sleep
Ambient temperatures are rising globally, with the greatest increases re...
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09/21/2020
A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data
Human activities follow daily, weekly, and seasonal rhythms. The emergen...
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07/09/2020
Fixed-time descriptive statistics underestimate extremes of epidemic curve ensembles
Across the world, scholars are racing to predict the spread of the novel...
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04/10/2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
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03/27/2020
Mobile phone data and COVID-19: Missing an opportunity?
This paper describes how mobile phone data can guide government and publ...
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12/26/2018
The Chaperone Effect in Scientific Publishing
Experience plays a critical role in crafting high impact scientific work...
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11/07/2018
Offline Behaviors of Online Friends
In this work we analyze traces of mobility and co-location among a group...
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08/01/2017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
NLP tasks are often limited by scarcity of manually annotated data. In s...
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08/05/2016
