Tony R. Martinez

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 27

Top Venues

CoRR

ICDAR

WACV

IJCNN

Publications

Fanqing Lin, Tony R. Martinez
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. WACV (2024)
Fanqing Lin, Tony R. Martinez
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. CoRR (2022)
Fanqing Lin, Brian Price, Tony R. Martinez
Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks. CVPR (2022)
Fanqing Lin, Connor Wilhelm, Tony R. Martinez
Two-hand Global 3D Pose Estimation using Monocular RGB. WACV (2021)
Fanqing Lin, Brian Price, Tony R. Martinez
Generalizing Interactive Backpropagating Refinement for Dense Prediction. CoRR (2021)
Mike Brodie, Brian Rasmussen, Chris Tensmeyer, Scott Corbitt, Tony R. Martinez
CoachGAN. WACV (2020)
Fanqing Lin, Connor Wilhelm, Tony R. Martinez
Two-hand Global 3D Pose Estimation Using Monocular RGB. CoRR (2020)
Fanqing Lin, Tony R. Martinez
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection. CoRR (2020)
Fanqing Lin, Yao Chou, Tony R. Martinez
Flow Adaptive Video Object Segmentation. Image Vis. Comput. 94 (2020)
Chris Tensmeyer, Tony R. Martinez
Historical Document Image Binarization: A Review. SN Comput. Sci. 1 (3) (2020)
Chris Tensmeyer, Mike Brodie, Daniel Saunders, Tony R. Martinez
Generating Realistic Binarization Data with Generative Adversarial Networks. ICDAR (2019)
Christopher Tensmeyer, Tony R. Martinez
Robust Keypoint Detection. WML@ICDAR (2019)
Chris Tensmeyer, Vlad I. Morariu, Brian L. Price, Scott Cohen, Tony R. Martinez
Deep Splitting and Merging for Table Structure Decomposition. ICDAR (2019)
Chris Tensmeyer, Tony R. Martinez
CONFIRM - Clustering of noisy form images using robust matching. Pattern Recognit. 87 (2019)
Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez
Alpha Model Domination in Multiple Choice Learning. ICMLA (2018)
Michael R. Smith, Tony R. Martinez
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks. Artif. Intell. Rev. 49 (1) (2018)
Chris Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett
Language Model Supervision for Handwriting Recognition Model Adaptation. CoRR (2018)
Christopher Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett
Language Model Supervision for Handwriting Recognition Model Adaptation. ICFHR (2018)
Taetem Simms, Clayton Ramstedt, Megan Rich, Michael Richards, Tony R. Martinez, Christophe G. Giraud-Carrier
Detecting Cognitive Distortions Through Machine Learning Text Analytics. ICHI (2017)
Chris Tensmeyer, Tony R. Martinez
Analysis of Convolutional Neural Networks for Document Image Classification. CoRR (2017)
Chris Tensmeyer, Tony R. Martinez
Document Image Binarization with Fully Convolutional Neural Networks. CoRR (2017)
Chris Tensmeyer, Daniel Saunders, Tony R. Martinez
Convolutional Neural Networks for Font Classification. CoRR (2017)
Chris Tensmeyer, Daniel Saunders, Tony R. Martinez
Convolutional Neural Networks for Font Classification. ICDAR (2017)
Chris Tensmeyer, Tony R. Martinez
Analysis of Convolutional Neural Networks for Document Image Classification. ICDAR (2017)
Chris Tensmeyer, Tony R. Martinez
Document Image Binarization with Fully Convolutional Neural Networks. ICDAR (2017)
Michael S. Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez
Missing Value Imputation with Unsupervised Backpropagation. Comput. Intell. 32 (2) (2016)
Michael R. Smith, Tony R. Martinez
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems. Comput. Intell. 32 (2) (2016)
Michael R. Smith, Tony R. Martinez
Using Classifier diversity to handle label noise. IJCNN (2015)
George L. Rudolph, Tony R. Martinez
Finding the Real Differences Between Learning Algorithms. Int. J. Artif. Intell. Tools 24 (3) (2015)
Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization. MetaSel@PKDD/ECML (2015)
Michael R. Smith, Michael S. Gashler, Tony R. Martinez
A hybrid latent variable neural network model for item recommendation. IJCNN (2015)
Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez
Recommending Learning Algorithms and Their Associated Hyperparameters. MetaSel@ECAI (2014)
Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization. CoRR (2014)
Michael R. Smith, Tony R. Martinez
Becoming More Robust to Label Noise with Classifier Diversity. CoRR (2014)
Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. MetaSel@ECAI (2014)
Michael R. Smith, Tony R. Martinez, Michael Gashler
A Hybrid Latent Variable Neural Network Model for Item Recommendation. CoRR (2014)
Richard G. Morris, Tony R. Martinez, Michael R. Smith
A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning. CoRR (2014)
Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. CoRR (2014)
Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez
Recommending Learning Algorithms and Their Associated Hyperparameters. CoRR (2014)
Michael R. Smith, Tony R. Martinez
Reducing the Effects of Detrimental Instances. CoRR (2014)
Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
An instance level analysis of data complexity. Mach. Learn. 95 (2) (2014)
Michael R. Smith, Tony R. Martinez
Reducing the Effects of Detrimental Instances. ICMLA (2014)
Michael Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez
Missing Value Imputation With Unsupervised Backpropagation. CoRR (2013)
Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez
Automatic Generation of Music for Inducing Physiological Response. CogSci (2013)
Michael R. Smith, Tony R. Martinez
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting. CoRR (2013)
Kristine Monteith, Tony R. Martinez
Aggregate Certainty estimators. Comput. Intell. 29 (2) (2013)
Michael R. Smith, Tony R. Martinez
An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks. CoRR (2013)
Kristine Monteith, Tony R. Martinez, Dan Ventura
Automatic Generation of Melodic Accompaniments for Lyrics. ICCC (2012)
Michael Gashler, Tony R. Martinez
Robust manifold learning with CycleCut. Connect. Sci. 24 (1) (2012)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Automatic Algorithm Development Using New Reinforcement Programming Techniques. Comput. Intell. 28 (2) (2012)
Michael Gashler, Dan Ventura, Tony R. Martinez
Manifold Learning by Graduated Optimization. IEEE Trans. Syst. Man Cybern. Part B 41 (6) (2011)
Kristine Monteith, Virginia Francisco, Tony R. Martinez, Pablo Gervás, Dan Ventura
Automatic Generation of Emotionally-Targeted Soundtracks. ICCC (2011)
Michael R. Smith, Tony R. Martinez
Improving classification accuracy by identifying and removing instances that should be misclassified. IJCNN (2011)
Michael Gashler, Tony R. Martinez
Temporal nonlinear dimensionality reduction. IJCNN (2011)
Adam H. Peterson, Tony R. Martinez, George L. Rudolph
On the structure of algorithm spaces. IJCNN (2011)
Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez
Turning Bayesian model averaging into Bayesian model combination. IJCNN (2011)
Michael Gashler, Tony R. Martinez
Tangent space guided intelligent neighbor finding. IJCNN (2011)
Kristine Monteith, Tony R. Martinez, Dan Ventura
Automatic Generation of Music for Inducing Emotive Response. ICCC (2010)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Generating three binary addition algorithms using reinforcement programming. ACM Southeast Regional Conference (2010)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Generating a novel sort algorithm using Reinforcement Programming. IEEE Congress on Evolutionary Computation (2010)
Adam H. Peterson, Tony R. Martinez
Using learning algorithm behavior to chart task space: The DICES distance. Intell. Data Anal. 14 (3) (2010)
Kristine Monteith, Tony R. Martinez
Using multiple measures to predict confidence in instance classification. IJCNN (2010)
Joshua E. Menke, Tony R. Martinez
Improving Supervised Learning by Adapting the Problem to the Learner. Int. J. Neural Syst. 19 (1) (2009)
Adam H. Peterson, Tony R. Martinez
Reducing Decision Tree Ensemble Size Using Parallel Decision DAGs. Int. J. Artif. Intell. Tools 18 (4) (2009)
Joshua E. Menke, Tony R. Martinez
Artificial neural network reduction through oracle learning. Intell. Data Anal. 13 (1) (2009)
Joshua E. Menke, Tony R. Martinez
A Bradley-Terry artificial neural network model for individual ratings in group competitions. Neural Comput. Appl. 17 (2) (2008)
Michael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. ICMLA (2008)
Michael Gashler, Dan Ventura, Tony R. Martinez
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS (2007)
Christophe G. Giraud-Carrier, Tony R. Martinez
Learning by Discrimination: A Constructive Incremental Approach. J. Comput. 2 (7) (2007)
Michael Rimer, Tony R. Martinez
CB3: An Adaptive Error Function for Backpropagation Training. Neural Process. Lett. 24 (1) (2006)
Michael Rimer, Tony R. Martinez
Classification-based objective functions. Mach. Learn. 63 (2) (2006)
Joshua E. Menke, Tony R. Martinez
Domain expert approximation through oracle learning. ESANN (2005)
Tony R. Martinez
Neural Networks and Machine Learning: Towards Fully Automated Learning. ENC (2004)
Brent D. Morring, Tony R. Martinez
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm. Intell. Data Anal. 8 (1) (2004)
D. Randall Wilson, Tony R. Martinez
The general inefficiency of batch training for gradient descent learning. Neural Networks 16 (10) (2003)
Ernest Istook, Tony R. Martinez
Improved Backpropagation Learning in Neural Networks with Windowed Momentum. Int. J. Neural Syst. 12 (3-4) (2002)
Xinchuan Zeng, Tony R. Martinez
An algorithm for correcting mislabeled data. Intell. Data Anal. 5 (6) (2001)
Timothy L. Andersen, Tony R. Martinez
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm. Int. J. Neural Syst. 11 (2) (2001)
D. Randall Wilson, Tony R. Martinez
Reduction Techniques for Instance-Based Learning Algorithms. Mach. Learn. 38 (3) (2000)
D. Randall Wilson, Tony R. Martinez
The Inefficiency of Batch Training for Large Training Sets. IJCNN (2) (2000)
Xinchuan Zeng, Tony R. Martinez
Distribution-balanced stratified cross-validation for accuracy estimation. J. Exp. Theor. Artif. Intell. 12 (1) (2000)
Xinchuan Zeng, Tony R. Martinez
Using a Neural Network to Approximate an Ensemble of Classifiers. Neural Process. Lett. 12 (3) (2000)
D. Randall Wilson, Tony R. Martinez
An Integrated Instance-Based Learning Algorithm. Comput. Intell. 16 (1) (2000)
Dan Ventura, Tony R. Martinez
Quantum associative memory. Inf. Sci. 124 (1-4) (2000)
Xinchuan Zeng, Tony R. Martinez
Rescaling the Energy Function in Hopfield Networks. IJCNN (6) (2000)
Tim Andersen, Tony R. Martinez
Cross validation and MLP architecture selection. IJCNN (1999)
D. Randall Wilson, Tony R. Martinez
Combining cross-validation and confidence to measure fitness. IJCNN (1999)
Tim Andersen, Tony R. Martinez
The little neuron that could. IJCNN (1999)
Xinchuan Zeng, Tony R. Martinez
A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems. Neural Process. Lett. 10 (3) (1999)
Xinchuan Zeng, Tony R. Martinez
Extending the power and capacity of constraint satisfaction networks. IJCNN (1999)
Dan Ventura, Tony R. Martinez
A Quantum Associative Memory Based on Grover's Algorithm. ICANNGA (1999)
Xinchuan Zeng, Tony R. Martinez
A New Activation Function in the Hopfield Network for Solving Optimization Problems. ICANNGA (1999)
Xinchuan Zeng, Tony R. Martinez
Improving the Performance of the Hopfield Network By Using A Relaxation Rate. ICANNGA (1999)
Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez
A neural model of centered tri-gram speech recognition. IJCNN (1999)
D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez
The robustness of relaxation rates in constraint satisfaction networks. IJCNN (1999)
D. Randall Wilson, Tony R. Martinez
Improved Heterogeneous Distance Functions. J. Artif. Intell. Res. 6 (1997)
Dan Ventura, Tony R. Martinez
An Artificial Neuron with Quantum Mechanical Properties. ICANNGA (1997)
D. Randall Wilson, Tony R. Martinez
Improved Heterogeneous Distance Functions CoRR (1997)
George L. Rudolph, Tony R. Martinez
A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation. Future Gener. Comput. Syst. 12 (6) (1997)
D. Randall Wilson, Tony R. Martinez
Instance Pruning Techniques. ICML (1997)

Tony R. Martinez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tony R. Martinez