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2020 – today
- 2023
[j4]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): 104345 (2023)- [c11]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: 4275-4279 - [i2]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 abs/2309.10858 (2023) - 2022
- [i1]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 abs/2208.11666 (2022) - 2021
- [c10]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: 1-5
2010 – 2019
- 2018
- [j3]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: 102-119 (2018) - [c9]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: 237-243 - [c8]David Tian, Jiamei Deng, Enrico Zio, Francesco Di Maio, Fucheng Liao:
Failure Modes Detection of Nuclear Systems Using Machine Learning. DSA 2018: 35-43 - [p1]David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik:
A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. Applications of Big Data Analytics 2018: 43-61 - 2013
- [c7]Laurie Hirsch, David Tian:
Txt2vz: A New Tool for Generating Graph Clouds. ICCS 2013: 322-331 - [c6]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: 3244-3250 - [c5]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: 3258-3264 - 2012
- [c4]David Tian, L. Richard Carley, David S. Ricketts:
Frequency scaling of power reclamation networks in outphasing PA architectures. ISCAS 2012: 1058-1061 - 2011
- [j2]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): 863-880 (2011) - [j1]David Tian, Xiao-Jun Zeng, John A. Keane:
Core-Generating Discretization for Rough Set Feature Selection. Trans. Rough Sets 13: 135-158 (2011) - 2010
- [c3]David Tian, Keith Burley:
Classification of micro-array gene expression data using neural networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [b1]David Tian:
Effective rough set feature selection via core-generating approximate minimum entropy discretization. University of Manchester, UK, 2009 - 2007
- [c2]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: 1-6 - 2006
- [c1]David Tian, John A. Keane, Xiao-Jun Zeng:
Evaluating the effect of rough set feature selection on the performance of decision trees. GrC 2006: 57-62
Coauthor Index
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