default search action
Ian T. Nabney
Person information
- affiliation: Bristol University, UK
- affiliation: Aston Unisversity, Birmingham, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j24]Doaa Alamoudi
, Ian T. Nabney
Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. Sensors 24(3): 722 (2024) - [i2]Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee:
Efficient Hyperparameter Importance Assessment for CNNs. CoRR abs/2410.08920 (2024) - 2023
- [c29]Doaa Alamoudi
Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study. BIODEVICES 2023: 206-210 - [e6]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023. Eurographics Association 2023, ISBN 978-3-03868-224-0 [contents] - 2022
- [c28]Romana Burgess, Iryna Culpin, Helen Bould
A Quantitative Comparison of Manual vs. Automated Facial Coding Using Real Life Observations of Fathers. PervasiveHealth 2022: 379-396 - [e5]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022. Eurographics Association 2022, ISBN 978-3-03868-182-3 [contents] - 2021
- [j23]Wajahat Kazmi
An Efficient Industrial System for Vehicle Tyre (Tire) Detection and Text Recognition Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 22(2): 1264-1275 (2021) - [e4]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021. Eurographics Association 2021, ISBN 978-3-03868-146-5 [contents] - 2020
- [e3]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-113-7 [contents]
2010 – 2019
- 2019
- [c27]Wajahat Kazmi
Vehicle tire (tyre) detection and text recognition using deep learning. CASE 2019: 1074-1079 - [e2]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019. Eurographics Association 2019, ISBN 978-3-03868-089-5 [contents] - 2018
- [e1]Ian T. Nabney, Jaakko Peltonen, Daniel Archambault:
1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018. Eurographics Association 2018, ISBN 978-3-03868-062-8 [contents] - [i1]Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi:
The State of the Art in Integrating Machine Learning into Visual Analytics. CoRR abs/1802.07954 (2018) - 2017
- [j22]Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney
The State of the Art in Integrating Machine Learning into Visual Analytics. Comput. Graph. Forum 36(8): 458-486 (2017) - [j21]Alina Patelli
An architecture for the autonomic curation of crowdsourced knowledge. Clust. Comput. 20(3): 2031-2046 (2017) - [c26]Vânia Almeida, Ian T. Nabney
Detecting dynamical changes in vital signs using switching Kalman filter. EMBC 2017: 2223-2226 - 2016
- [c25]Mehryar Emambakhsh
Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach. DAS 2016: 399-404 - [c24]Vânia G. Almeida
Early warnings of heart rate deterioration. EMBC 2016: 940-943 - [c23]Alina Patelli
Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management. ICCAC 2016: 40-49 - 2015
- [j20]Egle Bunkute, Christopher Cummins, Fraser J. Crofts
PIP-DB: the Protein Isoelectric Point database. Bioinform. 31(2): 295-296 (2015) - [c22]Michel F. Randrianandrasana, Shahzad Mumtaz, Ian T. Nabney:
Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping. IVAPP 2015: 233-238 - 2014
- [c21]Shahzad Mumtaz, Darren R. Flower, Ian T. Nabney:
Multi-level Visualisation using Gaussian Process Latent Variable Models. IVAPP 2014: 122-129 - 2013
- [j19]William Plant, Joanna Lumsden
The Mosaic Test: measuring the effectiveness of colour-based image retrieval. Multim. Tools Appl. 64(3): 695-716 (2013) - [c20]Niya Chen, Zheng Qian, Ian T. Nabney, Xiaofeng Meng:
Short-Term Wind Power Forecasting Using Gaussian Processes. IJCAI 2013: 2790-2796 - [c19]Waljinder S. Gill, Ian T. Nabney
Inference of helicopter airframe condition. MLSP 2013: 1-6 - 2012
- [c18]Shahzad Mumtaz
Novel visualization methods for protein data. CIBCB 2012: 198-205 - [c17]Waljinder S. Gill, Ian T. Nabney
Helicopter vibration sensor selection using data visualisation. MLSP 2012: 1-6 - 2011
- [j18]John R. Owen, Ian T. Nabney
Visualization of Molecular Fingerprints. J. Chem. Inf. Model. 51(7): 1552-1563 (2011) - [c16]J. Víctor Marcos
Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis. EMBC 2011: 1745-1748 - [c15]William Plant, Joanna Lumsden, Ian T. Nabney:
The Mosaic Test: Benchmarking Colour-based Image Retrieval Systems Using Image Mosaics. EuroHCIR 2011: 23-26 - [c14]Ryszard Maciol, Yuan Yuan, Ian T. Nabney:
Colour Image Coding with Matching Pursuit in the Spatio-frequency Domain. ICIAP (1) 2011: 306-317 - 2010
- [j17]Hang T. Nguyen, Ian T. Nabney
Variational inference for Student-t MLP models. Neurocomputing 73(16-18): 2989-2997 (2010)
2000 – 2009
- 2009
- [c13]Hang T. Nguyen, Ian T. Nabney
Energy forward price prediction with a hybrid adaptive model. CIFEr 2009: 66-71 - [c12]Martin Schroeder, Dan Cornford
Data Visualisation and Exploration with Prior Knowledge. EANN 2009: 131-142 - 2008
- [j16]Ben Van Calster, Dirk Timmerman
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Comput. Appl. 17(5-6): 489-500 (2008) - [c11]Hang T. Nguyen, Ian T. Nabney
Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices. ICMLA 2008: 311-317 - 2006
- [j15]Dharmesh M. Maniyar, Ian T. Nabney
Data Visualization during the Early Stages of Drug Discovery. J. Chem. Inf. Model. 46(4): 1806-1818 (2006) - [c10]Dharmesh M. Maniyar, Ian T. Nabney
Data Visualization with Simultaneous Feature Selection. CIBCB 2006: 1-8 - [c9]Ben Van Calster
Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. EMBC 2006: 5342-5345 - [c8]Dharmesh M. Maniyar, Ian T. Nabney
Visual data mining using principled projection algorithms and information visualization techniques. KDD 2006: 643-648 - 2005
- [j14]Davide D'Alimonte
MILVA: An interactive tool for the exploration of multidimensional microarray data. Bioinform. 21(22): 4192-4193 (2005) - [j13]Ian T. Nabney
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17(3): 384-400 (2005) - 2004
- [j12]Ian T. Nabney
Efficient Training Of Rbf Networks For Classification. Int. J. Neural Syst. 14(3): 201-208 (2004) - [j11]Peter Tiño
Nonlinear Prediction of Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. 44(5): 1647-1653 (2004) - [c7]Dharmesh M. Maniyar, Ian T. Nabney
Guiding Local Regression Using Visualisation. Deterministic and Statistical Methods in Machine Learning 2004: 98-109 - 2003
- [j10]Robert J. Bullen, Dan Cornford
Outlier detection in scatterometer data: neural network approaches. Neural Networks 16(3-4): 419-426 (2003) - 2002
- [j9]Peter Tiño
Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 639-656 (2002) - 2001
- [c6]Peter Tiño
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. ICANN 2001: 421-428 - 2000
- [j8]Ian T. Nabney
Bayesian inference for wind field retrieval. Neurocomputing 30(1-4): 3-11 (2000) - [j7]Dan Cornford
A scatterometer neural network sensor model with input noise. Neurocomputing 30(1-4): 13-21 (2000) - [j6]David J. Evans, Dan Cornford
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. Neurocomputing 30(1-4): 23-30 (2000) - [j5]W. A. Wright, Guillaume Ramage, Dan Cornford
Neural Network Modelling with Input Uncertainty: Theory and Application. J. VLSI Signal Process. 26(1-2): 169-188 (2000) - [c5]Lars U. Hjorth, Ian T. Nabney
Bayesian Training of Mixture Density Networks. IJCNN (4) 2000: 455-460
1990 – 1999
- 1999
- [j4]Dan Cornford
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Comput. Appl. 8(3): 206-217 (1999) - [c4]Mehdi Azzouzi, Ian T. Nabney
Modelling financial time series with switching state space models. CIFEr 1999: 240-249 - 1998
- [c3]Dan Cornford, Ian T. Nabney, Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS 1998: 861-867 - 1997
- [c2]Ian T. Nabney, Mickael J. S. Paven, Richard C. Eldridge, Clive Lee:
Practical Assessment of Neural Network Applications. SAFECOMP 1997: 357-368 - 1996
- [j3]Ian T. Nabney
Neural Network Control of a Gas Turbine. Neural Comput. Appl. 4(4): 198-208 (1996) - [j2]Christopher M. Bishop, Ian T. Nabney
Modeling Conditional Probability Distributions for Periodic Variables. Neural Comput. 8(5): 1123-1133 (1996) - [c1]Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney:
The Learning Dynamcis of a Universal Approximator. NIPS 1996: 288-294 - 1993
- [j1]David C. Cressy, Ian T. Nabney, Adrian M. Simper:
Neural Control of a Batch Distillation. Neural Comput. Appl. 1(2): 115-123 (1993)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-25 23:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: