David Tian

20 papers B 4C 3Misc 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2024 Misc conf
Incorporating the COM-B Model for Behavior Change into an Agent-Based Model of Smoking Behaviors: An Object-Oriented Design.
WSC
David Tian, Hazel Y. Squires, Charlotte Buckley, Duncan Gillespie, Harry Tattan-Birch, Lion Shahab, Robert West, Alan Brennan, Jamie Brown, Robin C. Purshouse
2023 J jnl
A filter-predictor polynomial feature based machine learning approach to predicting preterm birth from cervical electrical impedance spectroscopy.
Biomed. Signal Process. Control.
David Tian, Zi-Qiang Lang, Di Zhang, Dilly O. Anumba
2023 — conf
On-device Real-time Custom Hand Gesture Recognition.
ICCV (Workshops)
Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann
2023 J jnl
On-device Real-time Custom Hand Gesture Recognition.
CoRR
Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann
2022 J jnl
Efficient Heterogeneous Video Segmentation at the Edge.
CoRR
Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee, David Tian, Tingbo Hou, Karthik Raveendran, Raman Sarokin, George Sung, Trent Tolley, Matthias Grundmann
2021 C conf
PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car.
FIE
Gordon Hendry, Seth Harris, Ryan Goodwin, Leonid Neverov, Yunkai Xiao, David Tian, Yang Song
2018 C conf
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
David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh
2018 — ch.
A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants.
Applications of Big Data Analytics
David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik
2018 J jnl
A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants.
Neurocomputing
David Tian, Jiamei Deng, Gopika Vinod, T. V. Santhosh, Hissam Tawfik
2018 — conf
Failure Modes Detection of Nuclear Systems Using Machine Learning.
DSA
David Tian, Jiamei Deng, Enrico Zio, Francesco Di Maio, Fucheng Liao
2013 B conf
A Bayesian Association Rule Mining Algorithm.
SMC
David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane
2013 B conf
An Ontology for Clinical Trial Data Integration.
SMC
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
2013 Misc conf
Txt2vz: A New Tool for Generating Graph Clouds.
ICCS
Laurie Hirsch, David Tian
2012 C conf
Frequency scaling of power reclamation networks in outphasing PA architectures.
ISCAS
David Tian, L. Richard Carley, David S. Ricketts
2011 J jnl
Core-Generating Discretization for Rough Set Feature Selection.
Trans. Rough Sets
David Tian, Xiao-Jun Zeng, John A. Keane
2011 J jnl
Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification.
Int. J. Approx. Reason.
David Tian, Xiao-Jun Zeng, John A. Keane
2010 B conf
Classification of micro-array gene expression data using neural networks.
IJCNN
David Tian, Keith Burley
2009 — —
Effective rough set feature selection via core-generating approximate minimum entropy discretization.
David Tian
2007 B conf
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation.
FUZZ-IEEE
David Tian, John A. Keane, Xiao-Jun Zeng
2006 Misc conf
Evaluating the effect of rough set feature selection on the performance of decision trees.
GrC
David Tian, John A. Keane, Xiao-Jun Zeng