Evaluating the effect of rough set feature selection on the performance of decision trees. - David Tian; John A. Keane; Xiao-Jun Zeng (GrC, 2006)

Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation. - David Tian; John A. Keane; Xiao-Jun Zeng (FUZZ-IEEE, 2007)

Effective rough set feature selection via core-generating approximate minimum entropy discretization. - David Tian (2009)

Classification of micro-array gene expression data using neural networks. - David Tian; Keith Burley (IJCNN, 2010)

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)

Core-Generating Discretization for Rough Set Feature Selection. - David Tian; Xiao-Jun Zeng; John A. Keane (Trans. Rough Sets, 2011)

Frequency scaling of power reclamation networks in outphasing PA architectures. - David Tian; L. Richard Carley; David S. Ricketts (ISCAS, 2012)

Txt2vz: A New Tool for Generating Graph Clouds. - Laurie Hirsch; David Tian (ICCS, 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; et al. (SMC, 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 (SMC, 2013)

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 (Applications of Big Data Analytics, 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 (DeSE, 2018)

Failure Modes Detection of Nuclear Systems Using Machine Learning. - David Tian; Jiamei Deng; Enrico Zio; Francesco Di Maio; Fucheng Liao (DSA, 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)

PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car. - Gordon Hendry; Seth Harris; Ryan Goodwin; Leonid Neverov; Yunkai Xiao; David Tian; Yang Song 019 (FIE, 2021)

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)

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 (ICCV (Workshops), 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)

Incorporating the COM-B Model for Behavior Change into an Agent-Based Model of Smoking Behaviors: An Object-Oriented Design. - David Tian; Hazel Y. Squires; Charlotte Buckley; Duncan Gillespie; Harry Tattan-Birch; Lion Shahab; Robert West; Alan Brennan; Jamie Brown; Robin C. Purshouse (WSC, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)