| 2024 | WACV | Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. | Fanqing Lin, Tony R. Martinez |
| 2022 | CVPR | Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks. | Fanqing Lin, Brian L. Price, Tony R. Martinez |
| 2021 | WACV | Two-hand Global 3D Pose Estimation using Monocular RGB. | Fanqing Lin, Connor Wilhelm, Tony R. Martinez |
| 2020 | WACV | CoachGAN. | Mike Brodie, Brian Rasmussen, Chris Tensmeyer, Scott Corbitt, Tony R. Martinez |
| 2019 | ICDAR | Generating Realistic Binarization Data with Generative Adversarial Networks. | Chris Tensmeyer, Mike Brodie, Daniel Saunders, Tony R. Martinez |
| 2019 | ICDAR | Robust Keypoint Detection. | Christopher Tensmeyer, Tony R. Martinez |
| 2019 | ICDAR | Deep Splitting and Merging for Table Structure Decomposition. | Chris Tensmeyer, Vlad I. Morariu, Brian L. Price, Scott Cohen, Tony R. Martinez |
| 2018 | ICFHR | Language Model Supervision for Handwriting Recognition Model Adaptation. | Christopher Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett |
| 2018 | ICMLA | Alpha Model Domination in Multiple Choice Learning. | Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez |
| 2017 | ICDAR | Document Image Binarization with Fully Convolutional Neural Networks. | Chris Tensmeyer, Tony R. Martinez |
| 2017 | ICDAR | Analysis of Convolutional Neural Networks for Document Image Classification. | Chris Tensmeyer, Tony R. Martinez |
| 2017 | ICDAR | Convolutional Neural Networks for Font Classification. | Chris Tensmeyer, Daniel Saunders, Tony R. Martinez |
| 2015 | IJCNN | A hybrid latent variable neural network model for item recommendation. | Michael R. Smith, Michael S. Gashler, Tony R. Martinez |
| 2015 | IJCNN | Using Classifier diversity to handle label noise. | Michael R. Smith, Tony R. Martinez |
| 2014 | ECAI | Recommending Learning Algorithms and Their Associated Hyperparameters. | Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez |
| 2014 | ECAI | An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. | Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez |
| 2014 | ICMLA | Reducing the Effects of Detrimental Instances. | Michael R. Smith, Tony R. Martinez |
| 2013 | CogSci | Automatic Generation of Music for Inducing Physiological Response. | Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez |
| 2011 | IJCNN | Temporal nonlinear dimensionality reduction. | Michael Gashler, Tony R. Martinez |
| 2011 | IJCNN | Tangent space guided intelligent neighbor finding. | Michael Gashler, Tony R. Martinez |
| 2011 | IJCNN | Turning Bayesian model averaging into Bayesian model combination. | Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez |
| 2011 | IJCNN | On the structure of algorithm spaces. | Adam H. Peterson, Tony R. Martinez, George L. Rudolph |
| 2011 | IJCNN | Improving classification accuracy by identifying and removing instances that should be misclassified. | Michael R. Smith, Tony R. Martinez |
| 2010 | CEC | Generating a novel sort algorithm using Reinforcement Programming. | Spencer K. White, Tony R. Martinez, George L. Rudolph |
| 2010 | IJCNN | Using multiple measures to predict confidence in instance classification. | Kristine Monteith, Tony R. Martinez |
| 2008 | ICMLA | Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. | Michael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez |
| 2005 | ESANN | Domain expert approximation through oracle learning. | Joshua E. Menke, Tony R. Martinez |
| 2004 | IJCNN | Using permutations instead of student's t distribution for p-values in paired-difference algorithm comparisons. | Joshua E. Menke, Tony R. Martinez |
| 2004 | IJCNN | Softprop: softmax neural network backpropagation learning. | Michael Rimer, Tony R. Martinez |
| 2004 | IJCNN | Feature weighting using neural networks. | Xinchuan Zeng, Tony R. Martinez |
| 2000 | IJCNN | The Inefficiency of Batch Training for Large Training Sets. | D. Randall Wilson, Tony R. Martinez |
| 2000 | IJCNN | Rescaling the Energy Function in Hopfield Networks. | Xinchuan Zeng, Tony R. Martinez |
| 1999 | IJCNN | The little neuron that could. | Tim Andersen, Tony R. Martinez |
| 1999 | IJCNN | Cross validation and MLP architecture selection. | Tim Andersen, Tony R. Martinez |
| 1999 | IJCNN | A neural model of centered tri-gram speech recognition. | Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez |
| 1999 | IJCNN | Combining cross-validation and confidence to measure fitness. | D. Randall Wilson, Tony R. Martinez |
| 1999 | IJCNN | The robustness of relaxation rates in constraint satisfaction networks. | D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez |
| 1999 | IJCNN | Extending the power and capacity of constraint satisfaction networks. | Xinchuan Zeng, Tony R. Martinez |
| 1997 | ICML | Instance Pruning Techniques. | D. Randall Wilson, Tony R. Martinez |
| 1994 | ICPR | A VLSI implementation of a parallel, self-organizing learning model. | Matthew G. Stout, Linton G. Salmon, George L. Rudolph, Tony R. Martinez |