no code implementations • 29 Oct 2023 • Gabriel Spadon, Jay Kumar, Derek Eden, Josh van Berkel, Tom Foster, Matthew Smith, Sarah Vela, Romina Gehrmann, Amilcar Soares, Ronan Fablet, Stan Matwin, Ronald Pelot
This study explores using AIS data to prevent vessel-to-whale collisions by forecasting long-term vessel trajectories from engineered AIS data sequences.
no code implementations • 6 Feb 2023 • Matthew Smith, Lucas Maystre, Zhenwen Dai, Kamil Ciosek
Imitation of expert behaviour is a highly desirable and safe approach to the problem of sequential decision making.
no code implementations • 1 Feb 2022 • Matthew Smith, Yasaman Sarabi
A motif detection approach is used to filter these networks to extract potential intra-firm trade ties between countries, where the motif (or substructure) is two countries linked by trade, each affiliated with a firm, and these two firms linked by ownership.
no code implementations • 4 Jul 2021 • Matthew Smith, Yasaman Sarabi
This study examines patterns of regionalisation in the International Trade Network (ITN).
no code implementations • 21 May 2021 • Tony Zhang, Szymon Zmyslony, Sergei Nozdrenkov, Matthew Smith, Brandon Hopkins
To start addressing this pressing challenge, we developed an integrated hardware sensing system for beehive monitoring through audio and environment measurements, and a hierarchical semi-supervised deep learning model, composed of an audio modeling module and a predictor, to model the strength of beehives.
no code implementations • 8 Feb 2021 • Luis E C Rocha, Jan Ryckebusch, Koen Schoors, Matthew Smith
The intermediate case of spatial proximity ($\beta=1. 5$ and clustering dependency on network size quantitatively similar to friendship) suggests that proximity interactions may be as relevant for the spread of infectious diseases as for social processes like friendship.
Physics and Society Statistical Mechanics Adaptation and Self-Organizing Systems Popular Physics Applications
1 code implementation • NeurIPS 2020 • Heejong Bong, Zongge Liu, Zhao Ren, Matthew Smith, Valerie Ventura, Kass E. Robert
High-dimensional neural recordings across multiple brain regions can be used to establish functional connectivity with good spatial and temporal resolution.
no code implementations • 30 Jul 2019 • Martin Strohmeier, Matthew Smith, Vincent Lenders, Ivan Martinovic
Classi-Fly obtains the correct aircraft category with an accuracy of over 88%, demonstrating that it can improve the meta data necessary for applications working with air traffic communication.
no code implementations • NeurIPS 2017 • Benjamin Cowley, Ryan Williamson, Katerina Clemens, Matthew Smith, Byron M. Yu
When recording from a population of neurons, it is usually not possible to find a single stimulus that maximizes the firing rates of all neurons.
no code implementations • 16 Nov 2017 • Gatis Mikelsons, Matthew Smith, Abhinav Mehrotra, Mirco Musolesi
We characterize the mobility patterns of individuals using the GPS metrics presented in the literature and employ these metrics as input to the network.
no code implementations • 23 May 2017 • Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot
In this paper, we report on a recent automated Her2 scoring contest, held in conjunction with the annual PathSoc meeting held in Nottingham in June 2016, aimed at systematically comparing and advancing the state-of-the-art Artificial Intelligence (AI) based automated methods for Her2 scoring.
no code implementations • NeurIPS 2010 • Ryan Kelly, Matthew Smith, Robert Kass, Tai S. Lee
We found that the spikes of surrounding neurons indeed provide strong predictions of a neuron's response, in addition to the neuron's receptive field transfer function.