Tony R. Martinez

126 papers A* 2A 8B 21C 6Journal 64Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. WACV Fanqing Lin, Tony R. Martinez
2022	J	`jnl`	Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation. CoRR Fanqing Lin, Tony R. Martinez
2022	A*	`conf`	Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks. CVPR Fanqing Lin, Brian L. Price, Tony R. Martinez
2021	J	`jnl`	Generalizing Interactive Backpropagating Refinement for Dense Prediction. CoRR Fanqing Lin, Brian L. Price, Tony R. Martinez
2021	A	`conf`	Two-hand Global 3D Pose Estimation using Monocular RGB. WACV Fanqing Lin, Connor Wilhelm, Tony R. Martinez
2020	A	`conf`	CoachGAN. WACV Mike Brodie, Brian Rasmussen, Chris Tensmeyer, Scott Corbitt, Tony R. Martinez
2020	J	`jnl`	Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection. CoRR Fanqing Lin, Tony R. Martinez
2020	J	`jnl`	Flow Adaptive Video Object Segmentation. Image Vis. Comput. Fanqing Lin, Yao Chou, Tony R. Martinez
2020	J	`jnl`	Historical Document Image Binarization: A Review. SN Comput. Sci. Chris Tensmeyer, Tony R. Martinez
2020	J	`jnl`	Two-hand Global 3D Pose Estimation Using Monocular RGB. CoRR Fanqing Lin, Connor Wilhelm, Tony R. Martinez
2019	J	`jnl`	CONFIRM - Clustering of noisy form images using robust matching. Pattern Recognit. Chris Tensmeyer, Tony R. Martinez
2019	A	`conf`	Deep Splitting and Merging for Table Structure Decomposition. ICDAR Chris Tensmeyer, Vlad I. Morariu, Brian L. Price, Scott Cohen, Tony R. Martinez
2019	A	`conf`	Generating Realistic Binarization Data with Generative Adversarial Networks. ICDAR Chris Tensmeyer, Mike Brodie, Daniel Saunders, Tony R. Martinez
2019	—	`conf`	Robust Keypoint Detection. WML@ICDAR Christopher Tensmeyer, Tony R. Martinez
2018	C	`conf`	Alpha Model Domination in Multiple Choice Learning. ICMLA Mike Brodie, Chris Tensmeyer, Wes Ackerman, Tony R. Martinez
2018	B	`conf`	Language Model Supervision for Handwriting Recognition Model Adaptation. ICFHR Christopher Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett
2018	J	`jnl`	Language Model Supervision for Handwriting Recognition Model Adaptation. CoRR Chris Tensmeyer, Curtis Wigington, Brian L. Davis, Seth Stewart, Tony R. Martinez, William Barrett
2018	J	`jnl`	The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks. Artif. Intell. Rev. Michael R. Smith, Tony R. Martinez
2017	A	`conf`	Analysis of Convolutional Neural Networks for Document Image Classification. ICDAR Chris Tensmeyer, Tony R. Martinez
2017	J	`jnl`	Analysis of Convolutional Neural Networks for Document Image Classification. CoRR Chris Tensmeyer, Tony R. Martinez
2017	A	`conf`	Convolutional Neural Networks for Font Classification. ICDAR Chris Tensmeyer, Daniel Saunders, Tony R. Martinez
2017	J	`jnl`	Convolutional Neural Networks for Font Classification. CoRR Chris Tensmeyer, Daniel Saunders, Tony R. Martinez
2017	—	`conf`	Detecting Cognitive Distortions Through Machine Learning Text Analytics. ICHI Taetem Simms, Clayton Ramstedt, Megan Rich, Michael Richards, Tony R. Martinez, Christophe G. Giraud-Carrier
2017	A	`conf`	Document Image Binarization with Fully Convolutional Neural Networks. ICDAR Chris Tensmeyer, Tony R. Martinez
2017	J	`jnl`	Document Image Binarization with Fully Convolutional Neural Networks. CoRR Chris Tensmeyer, Tony R. Martinez
2016	J	`jnl`	A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems. Comput. Intell. Michael R. Smith, Tony R. Martinez
2016	J	`jnl`	Missing Value Imputation with Unsupervised Backpropagation. Comput. Intell. Michael S. Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez
2015	B	`conf`	A hybrid latent variable neural network model for item recommendation. IJCNN Michael R. Smith, Michael S. Gashler, Tony R. Martinez
2015	J	`jnl`	Finding the Real Differences Between Learning Algorithms. Int. J. Artif. Intell. Tools George L. Rudolph, Tony R. Martinez
2015	—	`conf`	The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization. MetaSel@PKDD/ECML Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
2015	B	`conf`	Using Classifier diversity to handle label noise. IJCNN Michael R. Smith, Tony R. Martinez
2014	J	`jnl`	A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning. CoRR Richard G. Morris, Tony R. Martinez, Michael R. Smith
2014	J	`jnl`	A Hybrid Latent Variable Neural Network Model for Item Recommendation. CoRR Michael R. Smith, Tony R. Martinez, Michael Gashler
2014	—	`conf`	An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. MetaSel@ECAI Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez
2014	J	`jnl`	An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. CoRR Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez
2014	J	`jnl`	An instance level analysis of data complexity. Mach. Learn. Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
2014	J	`jnl`	Becoming More Robust to Label Noise with Classifier Diversity. CoRR Michael R. Smith, Tony R. Martinez
2014	—	`conf`	Recommending Learning Algorithms and Their Associated Hyperparameters. MetaSel@ECAI Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez
2014	J	`jnl`	Recommending Learning Algorithms and Their Associated Hyperparameters. CoRR Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez
2014	C	`conf`	Reducing the Effects of Detrimental Instances. ICMLA Michael R. Smith, Tony R. Martinez
2014	J	`jnl`	Reducing the Effects of Detrimental Instances. CoRR Michael R. Smith, Tony R. Martinez
2014	J	`jnl`	The Potential Benefits of Filtering Versus Hyper-Parameter Optimization. CoRR Michael R. Smith, Tony R. Martinez, Christophe G. Giraud-Carrier
2013	J	`jnl`	A Comparative Evaluation of Curriculum Learning with Filtering and Boosting. CoRR Michael R. Smith, Tony R. Martinez
2013	J	`jnl`	Aggregate Certainty estimators. Comput. Intell. Kristine Monteith, Tony R. Martinez
2013	J	`jnl`	An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks. CoRR Michael R. Smith, Tony R. Martinez
2013	B	`conf`	Automatic Generation of Music for Inducing Physiological Response. CogSci Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez
2013	J	`jnl`	Missing Value Imputation With Unsupervised Backpropagation. CoRR Michael Gashler, Michael R. Smith, Richard G. Morris, Tony R. Martinez
2012	J	`jnl`	Automatic Algorithm Development Using New Reinforcement Programming Techniques. Comput. Intell. Spencer K. White, Tony R. Martinez, George L. Rudolph
2012	C	`conf`	Automatic Generation of Melodic Accompaniments for Lyrics. ICCC Kristine Monteith, Tony R. Martinez, Dan Ventura
2012	J	`jnl`	Robust manifold learning with CycleCut. Connect. Sci. Michael Gashler, Tony R. Martinez
2011	C	`conf`	Automatic Generation of Emotionally-Targeted Soundtracks. ICCC Kristine Monteith, Virginia Francisco, Tony R. Martinez, Pablo Gervás, Dan Ventura
2011	B	`conf`	Improving classification accuracy by identifying and removing instances that should be misclassified. IJCNN Michael R. Smith, Tony R. Martinez
2011	J	`jnl`	Manifold Learning by Graduated Optimization. IEEE Trans. Syst. Man Cybern. Part B Michael Gashler, Dan Ventura, Tony R. Martinez
2011	B	`conf`	On the structure of algorithm spaces. IJCNN Adam H. Peterson, Tony R. Martinez, George L. Rudolph
2011	B	`conf`	Tangent space guided intelligent neighbor finding. IJCNN Michael Gashler, Tony R. Martinez
2011	B	`conf`	Temporal nonlinear dimensionality reduction. IJCNN Michael Gashler, Tony R. Martinez
2011	B	`conf`	Turning Bayesian model averaging into Bayesian model combination. IJCNN Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez
2010	C	`conf`	Automatic Generation of Music for Inducing Emotive Response. ICCC Kristine Monteith, Tony R. Martinez, Dan Ventura
2010	B	`conf`	Generating a novel sort algorithm using Reinforcement Programming. IEEE Congress on Evolutionary Computation Spencer K. White, Tony R. Martinez, George L. Rudolph
2010	—	`conf`	Generating three binary addition algorithms using reinforcement programming. ACM Southeast Regional Conference Spencer K. White, Tony R. Martinez, George L. Rudolph
2010	J	`jnl`	Using learning algorithm behavior to chart task space: The DICES distance. Intell. Data Anal. Adam H. Peterson, Tony R. Martinez
2010	B	`conf`	Using multiple measures to predict confidence in instance classification. IJCNN Kristine Monteith, Tony R. Martinez
2009	J	`jnl`	Artificial neural network reduction through oracle learning. Intell. Data Anal. Joshua E. Menke, Tony R. Martinez
2009	J	`jnl`	Improving Supervised Learning by Adapting the Problem to the Learner. Int. J. Neural Syst. Joshua E. Menke, Tony R. Martinez
2009	J	`jnl`	Reducing Decision Tree Ensemble Size Using Parallel Decision DAGs. Int. J. Artif. Intell. Tools Adam H. Peterson, Tony R. Martinez
2008	J	`jnl`	A Bradley-Terry artificial neural network model for individual ratings in group competitions. Neural Comput. Appl. Joshua E. Menke, Tony R. Martinez
2008	C	`conf`	Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. ICMLA Michael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez
2007	—	`conf`	Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS Michael Gashler, Dan Ventura, Tony R. Martinez
2007	J	`jnl`	Learning by Discrimination: A Constructive Incremental Approach. J. Comput. Christophe G. Giraud-Carrier, Tony R. Martinez
2006	J	`jnl`	CB3: An Adaptive Error Function for Backpropagation Training. Neural Process. Lett. Michael Rimer, Tony R. Martinez
2006	J	`jnl`	Classification-based objective functions. Mach. Learn. Michael Rimer, Tony R. Martinez
2005	B	`conf`	Domain expert approximation through oracle learning. ESANN Joshua E. Menke, Tony R. Martinez
2004	B	`conf`	Feature weighting using neural networks. IJCNN Xinchuan Zeng, Tony R. Martinez
2004	—	`conf`	Neural Networks and Machine Learning: Towards Fully Automated Learning. ENC Tony R. Martinez
2004	B	`conf`	Softprop: softmax neural network backpropagation learning. IJCNN Michael Rimer, Tony R. Martinez
2004	B	`conf`	Using permutations instead of student's t distribution for p-values in paired-difference algorithm comparisons. IJCNN Joshua E. Menke, Tony R. Martinez
2004	J	`jnl`	Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm. Intell. Data Anal. Brent D. Morring, Tony R. Martinez
2003	J	`jnl`	The general inefficiency of batch training for gradient descent learning. Neural Networks D. Randall Wilson, Tony R. Martinez
2002	J	`jnl`	Improved Backpropagation Learning in Neural Networks with Windowed Momentum. Int. J. Neural Syst. Ernest Istook, Tony R. Martinez
2001	J	`jnl`	An algorithm for correcting mislabeled data. Intell. Data Anal. Xinchuan Zeng, Tony R. Martinez
2001	J	`jnl`	DMP3: A Dynamic Multilayer Perceptron Construction Algorithm. Int. J. Neural Syst. Timothy L. Andersen, Tony R. Martinez
2000	J	`jnl`	An Integrated Instance-Based Learning Algorithm. Comput. Intell. D. Randall Wilson, Tony R. Martinez
2000	J	`jnl`	Distribution-balanced stratified cross-validation for accuracy estimation. J. Exp. Theor. Artif. Intell. Xinchuan Zeng, Tony R. Martinez
2000	J	`jnl`	Quantum associative memory. Inf. Sci. Dan Ventura, Tony R. Martinez
2000	J	`jnl`	Reduction Techniques for Instance-Based Learning Algorithms. Mach. Learn. D. Randall Wilson, Tony R. Martinez
2000	—	`conf`	Rescaling the Energy Function in Hopfield Networks. IJCNN (6) Xinchuan Zeng, Tony R. Martinez
2000	—	`conf`	The Inefficiency of Batch Training for Large Training Sets. IJCNN (2) D. Randall Wilson, Tony R. Martinez
2000	J	`jnl`	Using a Neural Network to Approximate an Ensemble of Classifiers. Neural Process. Lett. Xinchuan Zeng, Tony R. Martinez
1999	—	`conf`	A New Activation Function in the Hopfield Network for Solving Optimization Problems. ICANNGA Xinchuan Zeng, Tony R. Martinez
1999	J	`jnl`	A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems. Neural Process. Lett. Xinchuan Zeng, Tony R. Martinez
1999	—	`conf`	A Quantum Associative Memory Based on Grover's Algorithm. ICANNGA Dan Ventura, Tony R. Martinez
1999	B	`conf`	A neural model of centered tri-gram speech recognition. IJCNN Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez
1999	B	`conf`	Combining cross-validation and confidence to measure fitness. IJCNN D. Randall Wilson, Tony R. Martinez
1999	B	`conf`	Cross validation and MLP architecture selection. IJCNN Tim Andersen, Tony R. Martinez
1999	B	`conf`	Extending the power and capacity of constraint satisfaction networks. IJCNN Xinchuan Zeng, Tony R. Martinez
1999	—	`conf`	Improving the Performance of the Hopfield Network By Using A Relaxation Rate. ICANNGA Xinchuan Zeng, Tony R. Martinez
1999	B	`conf`	The little neuron that could. IJCNN Tim Andersen, Tony R. Martinez
1999	B	`conf`	The robustness of relaxation rates in constraint satisfaction networks. IJCNN D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez
1997	J	`jnl`	A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation. Future Gener. Comput. Syst. George L. Rudolph, Tony R. Martinez
1997	—	`conf`	An Artificial Neuron with Quantum Mechanical Properties. ICANNGA Dan Ventura, Tony R. Martinez
1997	—	`conf`	Improved Center Point Selection for Probabilistic Neural Networks. ICANNGA D. Randall Wilson, Tony R. Martinez
1997	J	`jnl`	Improved Heterogeneous Distance Functions CoRR D. Randall Wilson, Tony R. Martinez
1997	J	`jnl`	Improved Heterogeneous Distance Functions. J. Artif. Intell. Res. D. Randall Wilson, Tony R. Martinez
1997	A*	`conf`	Instance Pruning Techniques. ICML D. Randall Wilson, Tony R. Martinez
1996	—	`conf`	Heterogeneous radial basis function networks. ICNN D. Randall Wilson, Tony R. Martinez
1996	J	`jnl`	LIA: A Location-Independent Transformation for ASOCS Adaptive Algorithm 2. Int. J. Neural Syst. George L. Rudolph, Tony R. Martinez
1996	—	`conf`	Robust optimization using training set evolution. ICNN Dan Ventura, Tony R. Martinez
1995	—	`conf`	A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks. ICANNGA George L. Rudolph, Tony R. Martinez
1995	J	`jnl`	A transformation for implementing localist neural networks. Neural Parallel Sci. Comput. George L. Rudolph, Tony R. Martinez
1995	—	`conf`	AA1*: A Dynamic Incremental Network that Learns by Discrimination. ICANNGA Christophe G. Giraud-Carrier, Tony R. Martinez
1995	J	`jnl`	An Integrated Framework for Learning and Reasoning CoRR Christophe G. Giraud-Carrier, Tony R. Martinez
1995	J	`jnl`	An Integrated Framework for Learning and Reasoning. J. Artif. Intell. Res. Christophe G. Giraud-Carrier, Tony R. Martinez
1995	J	`jnl`	Analysis of the Convergence and Generalization of AA1. J. Parallel Distributed Comput. Christophe G. Giraud-Carrier, Tony R. Martinez
1995	—	`conf`	Using Evolutionary Computation to Generate Training Set Data for Neural Networks. ICANNGA Dan Ventura, Tim Andersen, Tony R. Martinez
1994	—	`conf`	A VLSI implementation of a parallel, self-organizing learning model. ICPR (3) Matthew G. Stout, Linton G. Salmon, George L. Rudolph, Tony R. Martinez
1994	J	`jnl`	Location-Independent Transformations: a General Strategy for Implementing Neural Networks. Int. J. Artif. Intell. Tools George L. Rudolph, Tony R. Martinez
1994	J	`jnl`	Proof of correctness for ASOCS AA3 networks. IEEE Trans. Syst. Man Cybern. J. C. Barker, Tony R. Martinez
1994	J	`jnl`	The minimum feature set problem. Neural Networks Kevin S. Van Horn, Tony R. Martinez
1993	—	`conf`	The importance of using multiple styles of generalization. ANNES D. Randall Wilson, Tony R. Martinez
1993	—	`conf`	Towards a general distributed platform for learning and generalization. ANNES Tony R. Martinez, Brent W. Hughes
1993	—	`conf`	Using precepts to augment training set learning. ANNES Christophe G. Giraud-Carrier, Tony R. Martinez
1991	J	`jnl`	A Self-Adjusting Dynamic Logic Module. J. Parallel Distributed Comput. Tony R. Martinez, Douglas M. Campbell
1991	J	`jnl`	A self-organizing binary decision tree for incrementally defined rule-based systems. IEEE Trans. Syst. Man Cybern. Tony R. Martinez, Douglas M. Campbell
1990	—	`conf`	Smart Memory: the Memory Processor Model. Modelling the Innovation Tony R. Martinez
1990	J	`jnl`	Smart memory architecture and methods. Future Gener. Comput. Syst. Tony R. Martinez
1988	J	`jnl`	Adaptive Parallel Logic Networks. J. Parallel Distributed Comput. Tony R. Martinez, Jacques J. Vidal