Ian T. Nabney - RankMe

67 papers A* 2B 2C 5Journal 30Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Collective Medication Effects via Multi-level Abstraction for Medication Recommendation. CoRR Yanda Wang, Weitong Chen, Chao Tan, Ian T. Nabney, Lin Yue, Genlin Ji
2025	J	`jnl`	Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation. Knowl. Based Syst. Yanda Wang, Weitong Chen, Lin Yue, Ian T. Nabney, Dechang Pi
2025	—	`conf`	Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. CPAL Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2025	J	`jnl`	Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. CoRR Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2024	J	`jnl`	Efficient Hyperparameter Importance Assessment for CNNs. CoRR Ruinan Wang, Ian T. Nabney, Mohammad Golbabaee
2024	J	`jnl`	Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances. Sensors Doaa Alamoudi, Ian T. Nabney, Esther Crawley
2024	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2024, MLVis@EuroVis 2024, Odense, Denmark, May 27, 2024 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2023	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2023	—	`conf`	Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study. BIODEVICES Doaa Alamoudi, Ian T. Nabney, Esther Crawley
2022	—	`conf`	A Quantitative Comparison of Manual vs. Automated Facial Coding Using Real Life Observations of Fathers. PervasiveHealth Romana Burgess, Iryna Culpin, Helen Bould, Rebecca Pearson, Ian T. Nabney
2022	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2021	—	`ed.`	4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2021	J	`jnl`	An Efficient Industrial System for Vehicle Tyre (Tire) Detection and Text Recognition Using Deep Learning. IEEE Trans. Intell. Transp. Syst. Wajahat Kazmi, Ian T. Nabney, George Vogiatzis, Peter Rose, Alexander Codd
2020	—	`ed.`	3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only] MLVis@Eurographics/EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2019	—	`ed.`	2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2019	—	`conf`	Vehicle tire (tyre) detection and text recognition using deep learning. CASE Wajahat Kazmi, Ian T. Nabney, George Vogiatzis, Peter Rose, Alexander Codd
2018	—	`ed.`	1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018 MLVis@EuroVis Ian T. Nabney, Jaakko Peltonen, Daniel Archambault
2018	J	`jnl`	The State of the Art in Integrating Machine Learning into Visual Analytics. CoRR Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi
2017	J	`jnl`	An architecture for the autonomic curation of crowdsourced knowledge. Clust. Comput. Alina Patelli, Peter R. Lewis, Anikó Ekárt, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole
2017	—	`conf`	Detecting dynamical changes in vital signs using switching Kalman filter. EMBC Vânia Almeida, Ian T. Nabney
2017	J	`jnl`	The State of the Art in Integrating Machine Learning into Visual Analytics. Comput. Graph. Forum Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi
2016	—	`conf`	Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management. ICCAC Alina Patelli, Peter R. Lewis, Hai H. Wang, Ian T. Nabney, David Bennett, Ralph Lucas, Alex Cole
2016	—	`conf`	Early warnings of heart rate deterioration. EMBC Vânia G. Almeida, Ian T. Nabney
2016	B	`conf`	Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach. DAS Mehryar Emambakhsh, Yulan He, Ian T. Nabney
2015	J	`jnl`	PIP-DB: the Protein Isoelectric Point database. Bioinform. Egle Bunkute, Christopher Cummins, Fraser J. Crofts, Gareth Bunce, Ian T. Nabney, Darren R. Flower
2015	—	`conf`	Visualisation of Heterogeneous Data with the Generalised Generative Topographic Mapping. IVAPP Michel F. Randrianandrasana, Shahzad Mumtaz, Ian T. Nabney
2014	—	`conf`	Multi-level Visualisation using Gaussian Process Latent Variable Models. IVAPP Shahzad Mumtaz, Darren R. Flower, Ian T. Nabney
2013	—	`conf`	Inference of helicopter airframe condition. MLSP Waljinder S. Gill, Ian T. Nabney, Daniel Wells
2013	A*	`conf`	Short-Term Wind Power Forecasting Using Gaussian Processes. IJCAI Niya Chen, Zheng Qian, Ian T. Nabney, Xiaofeng Meng
2013	J	`jnl`	The Mosaic Test: measuring the effectiveness of colour-based image retrieval. Multim. Tools Appl. William Plant, Joanna Lumsden, Ian T. Nabney
2012	—	`conf`	Helicopter vibration sensor selection using data visualisation. MLSP Waljinder S. Gill, Ian T. Nabney, Daniel Wells
2012	C	`conf`	Novel visualization methods for protein data. CIBCB Shahzad Mumtaz, Ian T. Nabney, Darren R. Flower
2011	—	`conf`	Analysis of nocturnal oxygen saturation recordings using kernel entropy to assist in sleep apnea-hypopnea diagnosis. EMBC J. Víctor Marcos, Roberto Hornero, Ian T. Nabney, Daniel Álvarez, Félix del Campo
2011	—	`conf`	Colour Image Coding with Matching Pursuit in the Spatio-frequency Domain. ICIAP (1) Ryszard Maciol, Yuan Yuan, Ian T. Nabney
2011	—	`conf`	The Mosaic Test: Benchmarking Colour-based Image Retrieval Systems Using Image Mosaics. EuroHCIR William Plant, Joanna Lumsden, Ian T. Nabney
2011	J	`jnl`	Visualization of Molecular Fingerprints. J. Chem. Inf. Model. John R. Owen, Ian T. Nabney, José L. Medina-Franco, Fabian López-Vallejo
2010	J	`jnl`	Variational inference for Student-t MLP models. Neurocomputing Hang T. Nguyen, Ian T. Nabney
2009	C	`conf`	Data Visualisation and Exploration with Prior Knowledge. EANN Martin Schroeder, Dan Cornford, Ian T. Nabney
2009	—	`conf`	Energy forward price prediction with a hybrid adaptive model. CIFEr Hang T. Nguyen, Ian T. Nabney
2008	C	`conf`	Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices. ICMLA Hang T. Nguyen, Ian T. Nabney
2008	J	`jnl`	Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Comput. Appl. Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel
2006	—	`conf`	Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. EMBC Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel
2006	J	`jnl`	Data Visualization during the Early Stages of Drug Discovery. J. Chem. Inf. Model. Dharmesh M. Maniyar, Ian T. Nabney, Bruce S. Williams, Andreas Sewing
2006	C	`conf`	Data Visualization with Simultaneous Feature Selection. CIBCB Dharmesh M. Maniyar, Ian T. Nabney
2006	A*	`conf`	Visual data mining using principled projection algorithms and information visualization techniques. KDD Dharmesh M. Maniyar, Ian T. Nabney
2005	J	`jnl`	MILVA: An interactive tool for the exploration of multidimensional microarray data. Bioinform. Davide D'Alimonte, David Lowe, Ian T. Nabney, Vassilis Mersinias, Colin P. Smith
2005	J	`jnl`	Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
2004	J	`jnl`	Efficient Training Of Rbf Networks For Classification. Int. J. Neural Syst. Ian T. Nabney
2004	—	`conf`	Guiding Local Regression Using Visualisation. Deterministic and Statistical Methods in Machine Learning Dharmesh M. Maniyar, Ian T. Nabney
2004	J	`jnl`	Nonlinear Prediction of Quantitative Structure-Activity Relationships. J. Chem. Inf. Model. Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun
2003	J	`jnl`	Outlier detection in scatterometer data: neural network approaches. Neural Networks Robert J. Bullen, Dan Cornford, Ian T. Nabney
2002	J	`jnl`	Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. IEEE Trans. Pattern Anal. Mach. Intell. Peter Tiño, Ian T. Nabney
2001	C	`conf`	Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. ICANN Peter Tiño, Ian T. Nabney, Yi Sun
2000	J	`jnl`	A scatterometer neural network sensor model with input noise. Neurocomputing Dan Cornford, Guillaume Ramage, Ian T. Nabney
2000	—	`conf`	Bayesian Training of Mixture Density Networks. IJCNN (4) Lars U. Hjorth, Ian T. Nabney
2000	J	`jnl`	Bayesian inference for wind field retrieval. Neurocomputing Ian T. Nabney, Dan Cornford, Christopher K. I. Williams
2000	J	`jnl`	Neural Network Modelling with Input Uncertainty: Theory and Application. J. VLSI Signal Process. W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney
2000	J	`jnl`	Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. Neurocomputing David J. Evans, Dan Cornford, Ian T. Nabney
1999	—	`conf`	Modelling financial time series with switching state space models. CIFEr Mehdi Azzouzi, Ian T. Nabney
1999	J	`jnl`	Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Comput. Appl. Dan Cornford, Ian T. Nabney, Christopher M. Bishop
1998	—	`conf`	Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS Dan Cornford, Ian T. Nabney, Christopher K. I. Williams
1997	B	`conf`	Practical Assessment of Neural Network Applications. SAFECOMP Ian T. Nabney, Mickael J. S. Paven, Richard C. Eldridge, Clive Lee
1996	J	`jnl`	Modeling Conditional Probability Distributions for Periodic Variables. Neural Comput. Christopher M. Bishop, Ian T. Nabney
1996	J	`jnl`	Neural Network Control of a Gas Turbine. Neural Comput. Appl. Ian T. Nabney, David C. Cressy
1996	—	`conf`	The Learning Dynamcis of a Universal Approximator. NIPS Ansgar Heinrich Ludolf West, David Saad, Ian T. Nabney
1993	J	`jnl`	Neural Control of a Batch Distillation. Neural Comput. Appl. David C. Cressy, Ian T. Nabney, Adrian M. Simper