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Anthony Quinn
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2020 – today
- 2024
- [c28]Abigail Langbridge, Anthony Quinn, Robert Shorten:
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets. ICDEW 2024: 237-245 - [i9]Abigail Langbridge, Anthony Quinn, Robert Shorten:
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets. CoRR abs/2403.13864 (2024) - [i8]Sarah Boufelja Y., Anthony Quinn, Robert Shorten:
Randomized Transport Plans via Hierarchical Fully Probabilistic Design. CoRR abs/2408.02701 (2024) - [i7]Vyacheslav Kungurtsev, Yuanfang Peng, Jianyang Gu, Saeed Vahidian, Anthony Quinn, Fadwa Idlahcen, Yiran Chen:
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning. CoRR abs/2409.01410 (2024) - [i6]Abigail Langbridge, Anthony Quinn, Robert Shorten:
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport. CoRR abs/2410.02840 (2024) - [i5]Felix Wieberneit, Emanuele Crisostomi, Anthony Quinn, Homayoun Hamedmoghadam, Pietro Ferraro, Robert Shorten:
On Optimal Battery Sizing for Electric Vehicles. CoRR abs/2410.16997 (2024) - 2023
- [c27]Aida Manzano Kharman, Pietro Ferraro, Anthony Quinn, Robert Shorten:
Robust Decentralised Proof-of-Position Algorithms for Smart City Applications. CDC 2023: 112-119 - [i4]Aida Manzano Kharman, Pietro Ferraro, Anthony Quinn, Robert Shorten:
Robust decentralised proof-of-position algorithms for smart city applications. CoRR abs/2304.13543 (2023) - 2022
- [j13]Lenka Kuklisová Pavelková
, Ladislav Jirsa, Anthony Quinn
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances. Knowl. Based Syst. 238: 107879 (2022) - [j12]Milan Papez
Transferring model structure in Bayesian transfer learning for Gaussian process regression. Knowl. Based Syst. 251: 108875 (2022) - [i3]Sarah Boufelja Y., Anthony Quinn, Martin Corless, Robert Shorten:
Fully Probabilistic Design for Optimal Transport. CoRR abs/2212.13912 (2022) - 2021
- [i2]Milan Papez, Anthony Quinn:
Transferring model structure in Bayesian transfer learning for Gaussian process regression. CoRR abs/2101.06884 (2021) - [i1]Lenka Kuklisová Pavelková, Ladislav Jirsa, Anthony Quinn:
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances. CoRR abs/2109.10596 (2021) - 2020
- [j11]Milan Papez
Bayesian transfer learning between Student-t filters. Signal Process. 175: 107624 (2020)
2010 – 2019
- 2019
- [c26]Ladislav Jirsa, Lenka Kuklisová Pavelková
Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters. ICINCO (1) 2019: 499-506 - [c25]Ladislav Jirsa, Lenka Kuklisová Pavelková
Bayesian Filtering for States Uniformly Distributed on a Parallelotopic Support. ISSPIT 2019: 1-6 - [c24]Milan Papez, Anthony Quinn:
Bayesian transfer learning between Gaussian process regression tasks. ISSPIT 2019: 1-6 - [c23]Milan Papez, Anthony Quinn:
Robust Bayesian Transfer Learning Between Kalman Filters. MLSP 2019: 1-6 - 2018
- [j10]Conor Foley
Fully Probabilistic Design for Knowledge Transfer in a Pair of Kalman Filters. IEEE Signal Process. Lett. 25(4): 487-490 (2018) - [j9]Shahram Azizi
Hierarchical Fully Probabilistic Design for Deliberator-Based Merging in Multiple Participant Systems. IEEE Trans. Syst. Man Cybern. Syst. 48(4): 565-573 (2018) - [c22]Ladislav Jirsa, Lenka Kuklisová Pavelková
Approximate Bayesian Prediction Using State Space Model with Uniform Noise. ICINCO (Selected Papers) 2018: 552-568 - [c21]Milan Papez, Anthony Quinn:
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters. MLSP 2018: 1-6 - 2017
- [j8]Anthony Quinn, Miroslav Kárný
Optimal design of priors constrained by external predictors. Int. J. Approx. Reason. 84: 150-158 (2017) - [j7]Steve Benford
Crafting Interactive Decoration. ACM Trans. Comput. Hum. Interact. 24(4): 26:1-26:39 (2017) - [c20]William Preston
Enabling Hand-Crafted Visual Markers at Scale. Conference on Designing Interactive Systems 2017: 1227-1237 - 2016
- [j6]Anthony Quinn, Miroslav Kárný
Fully probabilistic design of hierarchical Bayesian models. Inf. Sci. 369: 532-547 (2016) - [c19]Emily-Clare Thorn, Stefan Rennick Egglestone
Exploring Large-Scale Interactive Public Illustrations. Conference on Designing Interactive Systems 2016: 17-27 - 2015
- [c18]Shahram Azizi, Anthony Quinn:
Approximate Bayesian filtering using stabilized forgetting. EUSIPCO 2015: 2711-2715 - 2013
- [c17]Rupert Meese, Shakir Ali, Emily-Clare Thorne, Steve Benford
From codes to patterns: designing interactive decoration for tableware. CHI 2013: 931-940 - 2011
- [c16]Viet Hung Tran, Anthony Quinn:
The transformed Variational Bayes approximation. ICASSP 2011: 4236-4239 - [c15]Anthony Quinn, Jean-Pierre Barbot, Pascal Larzabal:
The Bayesian inference of phase. ICASSP 2011: 4276-4279 - [c14]Anthony Quinn:
Recursive inference for inverse problems using variational Bayes methodology. VALUETOOLS 2011: 627-635
2000 – 2009
- 2008
- [j5]Anthony Quinn, Andrew Stranieri, John Yearwood, Gaudenz Hafen, Herbert F. Jelinek:
AWSum-Combining Classification with Knowledge Aquisition. Int. J. Softw. Informatics 2(2): 199-214 (2008) - [j4]Václav Smídl, Anthony Quinn:
Variational Bayesian Filtering. IEEE Trans. Signal Process. 56(10-2): 5020-5030 (2008) - [c13]Anthony Quinn, Andrew Stranieri, John Yearwood, Gaudenz Hafen:
AWSum - Data Mining for Insight. ADMA 2008: 524-531 - 2007
- [j3]Václav Smídl, Anthony Quinn:
On Bayesian principal component analysis. Comput. Stat. Data Anal. 51(9): 4101-4123 (2007) - [c12]Anthony Quinn, Andrew Stranieri, John Yearwood:
Classification for accuracy and insight: A weighted sum approach. AusDM 2007: 203-208 - [c11]Václav Smídl, Anthony Quinn:
Accelerated Particle Filtering using the Variational Bayes Approximation. ICASSP (3) 2007: 1173-1176 - 2006
- [c10]Václav Smídl, Anthony Quinn:
The Variational Bayes Approximation In Bayesian Filtering. ICASSP (3) 2006: 137-140 - 2005
- [j2]Václav Smídl, Anthony Quinn, Miroslav Kárný
Robust estimation of autoregressive processes using a mixture-based filter-bank. Syst. Control. Lett. 54(4): 315-323 (2005) - [j1]Václav Smídl, Anthony Quinn:
Mixture-based extension of the AR model and its recursive Bayesian identification. IEEE Trans. Signal Process. 53(9): 3530-3542 (2005) - [c9]Václav Smídl, Anthony Quinn:
The variational EM algorithm for on-line identification of extended AR models [speech processing example]. ICASSP (4) 2005: 117-120 - 2002
- [c8]Elena Ranguelova, Anthony Quinn:
Difference Field Estimation for Enhanced 3-D Texture Segmentation. BMVC 2002: 1-11
1990 – 1999
- 1999
- [c7]Ed Clark, Anthony Quinn:
A data-driven Bayesian sampling scheme for unsupervised image segmentation. ICASSP 1999: 3497-3500 - [c6]Elena Ranguelova, Anthony Quinn:
Analysis and Synthesis of Three-Dimensional Gaussian Markov Random Fields. ICIP (3) 1999: 430-434 - 1997
- [c5]Anthony Quinn:
Novel parameter priors for Bayesian signal identification. ICASSP 1997: 3909-3912 - 1996
- [c4]Oliver Schwartz, Anthony Quinn:
Fast and accurate texture-based image segmentation. ICIP (3) 1996: 121-124 - 1994
- [c3]Anthony Quinn:
New lower bounds to the variance of signal parameter estimators using Bayesian inference. ICASSP (4) 1994: 493-496 - 1993
- [c2]Anthony Quinn:
A consistent, numerically efficient Bayesian framework for combining the selection, detection and estimation tasks in model-based signal processing. ICASSP (4) 1993: 65-68 - 1992
- [c1]Anthony Quinn:
The performance of Bayesian estimators in the superresolution of signal parameters. ICASSP 1992: 297-300
Coauthor Index
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last updated on 2024-11-28 20:29 CET by the dblp team
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