Search Results for author:
Found 12 papers, 1 papers with code
Probabilistic Feature Augmentation for AIS-Based Multi-Path Long-Term Vessel Trajectory Forecasting
This study explores using AIS data to prevent vessel-to-whale collisions by forecasting long-term vessel trajectories from engineered AIS data sequences.
A Strong Baseline for Batch Imitation Learning
Imitation of expert behaviour is a highly desirable and safe approach to the problem of sequential decision making.
Mapping intra firm trade in the automotive sector: a network approach
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.
Trading patterns within and between regions: an analysis of Gould-Fernandez brokerage roles
This study examines patterns of regionalisation in the International Trade Network (ITN).
Semi-Supervised Audio Representation Learning for Modeling Beehive Strengths
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.
The scaling of social interactions across animal species
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
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
High-dimensional neural recordings across multiple brain regions can be used to establish functional connectivity with good spatial and temporal resolution.
Classi-Fly: Inferring Aircraft Categories from Open Data using Machine Learning
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.
Adaptive stimulus selection for optimizing neural population responses
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.
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
We characterize the mobility patterns of individuals using the GPS metrics presented in the literature and employ these metrics as input to the network.
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
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.
Accounting for network effects in neuronal responses using L1 regularized point process models
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.
