David Tian

According to our database, David Tian authored at least 18 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy.

David Tian, Zi-Qiang Lang, Di Zhang, Dilly O. Anumba

Biomed. Signal Process. Control., 2023

On-device Real-time Custom Hand Gesture Recognition.

Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Efficient Heterogeneous Video Segmentation at the Edge.

Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee, David Tian, Tingbo Hou, Karthik Raveendran, Raman Sarokin, George Sung, Trent Tolley, Matthias Grundmann

CoRR, 2022

2021

PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car.

Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song

Proceedings of the IEEE Frontiers in Education Conference, 2021

2018

A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants.

David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik

Neurocomputing, 2018

Failure Modes Detection of Nuclear Systems Using Machine Learning.

David Tian, Jiamei Deng, Enrico Zio, Francesco Di Maio, Fucheng Liao

Proceedings of the 5th International Conference on Dependable Systems and Their Applications, 2018

A Constraint-Based Random Search Algorithm for Optimizing Neural Network Architectures and Ensemble Construction in Detecting Loss of Coolant Accidents in Nuclear Power Plants.

David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh

Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants.

David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik

Proceedings of the Applications of Big Data Analytics, Trends, Issues, and Challenges., 2018

2013

A Bayesian Association Rule Mining Algorithm.

David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane

Proceedings of the IEEE International Conference on Systems, 2013

An Ontology for Clinical Trial Data Integration.

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

Proceedings of the IEEE International Conference on Systems, 2013

Txt2vz: A New Tool for Generating Graph Clouds.

Laurie Hirsch, David Tian

Proceedings of the Conceptual Structures for STEM Research and Education, 2013

2012

Frequency scaling of power reclamation networks in outphasing PA architectures.

David Tian, L. Richard Carley, David S. Ricketts

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011

Core-Generating Discretization for Rough Set Feature Selection.

David Tian, Xiao-Jun Zeng, John A. Keane

Trans. Rough Sets, 2011

Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification.

David Tian, Xiao-Jun Zeng, John A. Keane

Int. J. Approx. Reason., 2011

2010

Classification of micro-array gene expression data using neural networks.

David Tian, Keith Burley

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Effective rough set feature selection via core-generating approximate minimum entropy discretization.

David Tian

PhD thesis, 2009

2007

Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.

David Tian, John A. Keane, Xiao-Jun Zeng

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Evaluating the effect of rough set feature selection on the performance of decision trees.

David Tian, John A. Keane, Xiao-Jun Zeng

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006