David Tian

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 8

Top Venues

CoRR

Biomed. Signal Process. Control.

DeSE

ICCV (Workshops)

University of Manchester, UK (PHD)

Education History

University of Manchester, UK

PHD

Publications

Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann
On-device Real-time Custom Hand Gesture Recognition. ICCV (Workshops) (2023)
David Tian, Zi-Qiang Lang, Di Zhang, Dilly O. Anumba
A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy. Biomed. Signal Process. Control. 80 (Part) (2023)
Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann
On-device Real-time Custom Hand Gesture Recognition. CoRR (2023)
Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee, David Tian, Tingbo Hou, Karthik Raveendran, Raman Sarokin, George Sung, Trent Tolley, Matthias Grundmann
Efficient Heterogeneous Video Segmentation at the Edge. CoRR (2022)
Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song
PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car. FIE (2021)
David Tian, Jiamei Deng, Enrico Zio, Francesco Di Maio, Fucheng Liao
Failure Modes Detection of Nuclear Systems Using Machine Learning. DSA (2018)
David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh
A Constraint-Based Random Search Algorithm for Optimizing Neural Network Architectures and Ensemble Construction in Detecting Loss of Coolant Accidents in Nuclear Power Plants. DeSE (2018)
David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants. Neurocomputing 322 (2018)
David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane
A Bayesian Association Rule Mining Algorithm. SMC (2013)
Ratnesh Sahay, Dimitrios Ntalaperas, Eleni Kamateri, Panagiotis Hasapis, Oya Deniz Beyan, Marie-Pierre F. Strippoli, Christiana Demetriou, Thomai Gklarou-Stavropoulou, Mathias Brochhausen, Konstantinos A. Tarabanis, Thanassis Bouras, David Tian, Aristos Aristodimou, Athos Antoniades, Christos Georgousopoulos, Manfred Hauswirth, Stefan Decker
An Ontology for Clinical Trial Data Integration. SMC (2013)
Laurie Hirsch, David Tian
Txt2vz: A New Tool for Generating Graph Clouds. ICCS (2013)
David Tian, L. Richard Carley, David S. Ricketts
Frequency scaling of power reclamation networks in outphasing PA architectures. ISCAS (2012)
David Tian, Xiao-Jun Zeng, John A. Keane
Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification. Int. J. Approx. Reason. 52 (6) (2011)
David Tian, Xiao-Jun Zeng, John A. Keane
Core-Generating Discretization for Rough Set Feature Selection. Trans. Rough Sets 13 (2011)
David Tian, Keith Burley
Classification of micro-array gene expression data using neural networks. IJCNN (2010)
David Tian, John A. Keane, Xiao-Jun Zeng
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation. FUZZ-IEEE (2007)
David Tian, John A. Keane, Xiao-Jun Zeng
Evaluating the effect of rough set feature selection on the performance of decision trees. GrC (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Tian