D. Fay

发表

Weighted spectral distribution

Andrew W. Moore, Steve Uhlig, Hamed Haddadi, 2008 .

Determining association networks in social animals: choosing spatial–temporal criteria and sampling rates

Hamed Haddadi, Damien Fay, Andrew J. King, 2011, Behavioral Ecology and Sociobiology.

Network clustering via spectral projections

S. Uhlig, H. Haddadi, A. Moore, 2011 .

Weighted Spectral Distribution: A Metric for Structural Analysis of Networks

A. Thomason, S. Uhlig, R. Mortier, 2012 .

Computer Laboratory Weighted spectral distribution

Andrew W. Moore, Steve Uhlig, Damien Fay, 2008 .

An application of neural networks to adaptive playout delay in VoIP

Y. Zhang, D. Fay, L. Kilmartin, 2007 .

Spectral evolution in dynamic networks

C. Bauckhage, Jérôme Kunegis, D. Fay, 2013, Knowledge and Information Systems.

Modelling revenue generation in a dynamically priced mobile telephony service

Kenneth N. Brown, D. Fay, L. Kilmartin, 2015, Telecommunication Systems.

- 1-Anomaly detection for Building Service Components using performance data

Kenneth N. Brown, D. Fay, E. Tobin, 2013 .

24-h Electrical Load Data - a Sequential or Partitioned Time Series?

Damien Fay, Marissa Condon, John V. Ringwood, 2003, Neurocomputing.

Modelling revenue generation in a dynamically priced mobile telephony service

Kenneth N. Brown, Han Wang, Liam Kilmartin, 2016, Telecommun. Syst..

A weighted spectrum metric for comparison of internet topologies

Almerima Jamakovic, Steve Uhlig, Hamed Haddadi, 2010, PERV.

On the importance of local connectivity for Internet topology models

Almerima Jamakovic, Olaf Maennel, Steve Uhlig, 2009, 2009 21st International Teletraffic Congress.

Beyond Node Degree: Evaluating AS Topology Models pdf

Miguel Rio, Almerima Jamakovic, Olaf Maennel, 2008, ArXiv.

Discriminating graphs through spectral projections

Liam Kilmartin, Steve Uhlig, Hamed Haddadi, 2011, Comput. Networks.

Weighted Spectral Distribution for Internet Topology Analysis: Theory and Applications

Andrew W. Moore, Miguel Rio, Almerima Jamakovic, 2010, IEEE/ACM Transactions on Networking.

Tuning Topology Generators Using Spectral Distributions

Miguel Rio, Almerima Jamakovic, Steve Uhlig, 2008, SIPEW.

Network growth and the spectral evolution model

Christian Bauckhage, Damien Fay, Jérôme Kunegis, 2010, CIKM.

An Exploration of Fetish Social Networks and Communities pdf

Han Wang, Hamed Haddadi, Damien Fay, 2015, NetSci-X.

Per flow packet sampling for high-speed network monitoring

Marco Canini, Damien Fay, Raffaele Bolla, 2009, 2009 First International Communication Systems and Networks and Workshops.

On sequences of different adaptive mechanisms in non-stationary regression problems

Damien Fay, Bogdan Gabrys, Rashid Bakirov, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A state‐dependent linear recurrent formula with application to time series with structural breaks

D. Fay, D. Rahmani, 2021, Journal of Forecasting.

Automated adaptation strategies for stream learning

Damien Fay, Bogdan Gabrys, Rashid Bakirov, 2018, Machine Learning.

Generic adaptation strategies for automated machine learning pdf

Damien Fay, Bogdan Gabrys, Rashid Bakirov, 2018, ArXiv.

Gaussian Process models for ubiquitous user comfort preference sampling; global priors, active sampling and outlier rejection

Kenneth N. Brown, Damien Fay, Liam O'Toole, 2017, Pervasive Mob. Comput..

Establishing a Solution Strategy for Electrical Demand Forecasting in Ireland

John Ringwood, Damien Fay, Marissa Condon, 2002 .

Lies, damn lies and preferences: a Gaussian process model for ubiquitous thermal preference trials

Kenneth N. Brown, Damien Fay, Liam O'Toole, 2012, BuildSys@SenSys.

Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation

Kenneth N. Brown, Damien Fay, Andrew W. Moore, 2015, J. Complex Networks.

Knowledge Discovery and Causality in Urban City Traffic: A study using Planet Scale Vehicular Imagery Data

Ahmed Helmy, Pan Hui, Damien Fay, 2013, IWCTS '13.

Multiple adaptive mechanisms for data-driven soft sensors

Damien Fay, Bogdan Gabrys, Rashid Bakirov, 2017, Comput. Chem. Eng..

Centrality and mode detection in dynamic contact graphs; a joint diagonalisation approach

Damien Fay, Eiko Yoneki, Jérôme Kunegis, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

On Joint Diagonalisation for Dynamic Network Analysis pdf

Damien Fay, Eiko Yoneki, Jérôme Kunegis, 2011, ArXiv.

Mixing Biases: Structural Changes in the AS Topology Evolution

Almerima Jamakovic, Steve Uhlig, Hamed Haddadi, 2010, TMA.

Beyond Node Degree: Evaluating AS Topology Models

S. Uhlig, R. Mortier, H. Haddadi, 2008, ArXiv.

Analysis of the Internet’s structural evolution

Andrew W. Moore, Steve Uhlig, Hamed Haddadi, 2009 .

Gaussian Process models for ubiquitous user comfort preference sampling; global priors, active sampling and outlier rejection

Kenneth N. Brown, D. Fay, Liam O'Toole, 2017, Pervasive Mob. Comput..

A self-organising eigenspace map for time series clustering pdf

Donya Rahmani, Damien Fay, Jacek Brodzki, 2019, ArXiv.

On the Influence of Weather Forecast Errors in Short-Term Load Forecasting Models

Damien Fay, John V Ringwood, D. Fay, 2010, IEEE Transactions on Power Systems.

Glasdasha: predicting arrival times from crowd sourced smartphone data without localisation or route maps

Damien Fay, D. Fay, 2013 .