Hebbian feature discovery improves classifier efficiency. - Todd K. Leen; Mike Rudnick; Dan Hammerstrom (IJCNN, 1990)

Dynamics of Learning in Recurrent Feature-Discovery Networks. - Todd K. Leen (NIPS, 1990)

Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. - Todd K. Leen; John E. Moody (NIPS, 1992)

Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times. - Genevieve B. Orr; Todd K. Leen (NIPS, 1992)

Fast nonlinear dimension reduction. - Nandakishore Kambhatla; Todd K. Leen (ICNN, 1993)

Fast Non-Linear Dimension Reduction. - Nanda Kambhatla; Todd K. Leen (NIPS, 1993)

Optimal Stochastic Search and Adaptive Momentum. - Todd K. Leen; Genevieve B. Orr (NIPS, 1993)

Fast Pruning Using Principal Components. - Asriel U. Levin; Todd K. Leen; John E. Moody (NIPS, 1993)

Classifying with Gaussian Mixtures and Clusters. - Nanda Kambhatla; Todd K. Leen (NIPS, 1994)

From Data Distributions to Regularization in Invariant Learning. - Todd K. Leen (Neural Comput., 1995)

Using Curvature Information for Fast Stochastic Search. - Genevieve B. Orr; Todd K. Leen (NIPS, 1996)

Two Approaches to Optimal Annealing. - Todd K. Leen; Bernhard Schottky; David Saad (NIPS, 1997)

Dimension Reduction by Local Principal Component Analysis. - Nanda Kambhatla; Todd K. Leen (Neural Comput., 1997)

Automatic Prediction of Trauma Registry Procedure Codes from Emergency Room Dictations. - William R. Hersh; Todd K. Leen; P. Steve Rehfuss; Susan Malveau (MedInfo, 1998)

Probabilistic Image Sensor Fusion. - Ravi K. Sharma; Todd K. Leen; Misha Pavel (NIPS, 1998)

Optimal dimension reduction and transform coding with mixture principal components. - Cynthia Archer; Todd K. Leen (IJCNN, 1999)

A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates. - Wei Wei; Todd K. Leen; Etienne Barnard (Neural Comput., 1999)

From Mixtures of Mixtures to Adaptive Transform Coding. - Cynthia Archer; Todd K. Leen (NIPS, 2000)

The Coding-Optimal Transform. - Cynthia Archer; Todd K. Leen (Data Compression Conference, 2001)

Parameterized Novelty Detectors for Environmental Sensor Monitoring. - Cynthia Archer; Todd K. Leen; António M. Baptista (NIPS, 2003)

Semi-supervised Learning with Penalized Probabilistic Clustering. - Zhengdong Lu; Todd K. Leen (NIPS, 2004)

A generalized Lloyd-type algorithm for adaptive transform coder design. - Cynthia Archer; Todd K. Leen (IEEE Trans. Signal Process., 2004)

Penalized Probabilistic Clustering. - Zhengdong Lu; Todd K. Leen (Neural Comput., 2007)

Fast neural network surrogates for very high dimensional physics-based models in computational oceanography. - Rudolph van der Merwe; Todd K. Leen; Zhengdong Lu; Sergey Frolov; António M. Baptista (Neural Networks, 2007)

Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478]. - Rudolph van der Merwe; Todd K. Leen; Zhengdong Lu; Sergey Frolov; António M. Baptista (Neural Networks, 2007)

Detecting mild cognitive loss with continuous monitoring of medication adherence. - Yonghong Huang; Deniz Erdogmus; Zhengdong Lu; Todd K. Leen (ICASSP, 2008)

A reproducing kernel Hilbert space framework for pairwise time series distances. - Zhengdong Lu; Todd K. Leen; Yonghong Huang; Deniz Erdogmus (ICML, 2008)

Hierarchical Fisher Kernels for Longitudinal Data. - Zhengdong Lu; Todd K. Leen; Jeffrey A. Kaye (NIPS, 2008)

Optimizing Medication Reminders Using a Decision-Theoretic Framework. - Misha Pavel; Holly Brügge Jimison; Tamara L. Hayes; Nicole Larimer; Stuart Hagler; Yves Vimegnon; Todd K. Leen; Umut Ozertem (MedInfo, 2010)

Compression of line spectral frequency parameters using the asynchronous interpolation model. - Alexander Kain; Todd K. Leen (SSW, 2010)

Anti-Hebbian Spike-Timing-Dependent Plasticity and Adaptive Sensory Processing. - Patrick D. Roberts; Todd K. Leen (Frontiers Comput. Neurosci., 2010)

Perturbation theory for stochastic learning dynamics. - Todd K. Leen; Robert Friel (IJCNN, 2011)

Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. - Zhengdong Lu; Todd K. Leen; Jeffrey A. Kaye (Neural Comput., 2011)

Statistical error detection for clinical laboratory tests. - Todd K. Leen; Deniz Erdogmus; Steven C. Kazmierczak (EMBC, 2012)

Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity. - Todd K. Leen; Robert Friel (Neural Comput., 2012)

Approximating distributions in stochastic learning. - Todd K. Leen; Robert Friel; David Nielsen (Neural Networks, 2012)

A novel delta check method for detecting laboratory errors. - Jamshid Sourati; Deniz Erdogmus; Murat Akçakaya; Steven C. Kazmierczak; Todd K. Leen (MLSP, 2015)

Assessing subsets of analytes in context of detecting laboratory errors. - Jamshid Sourati; Steven C. Kazmierczak; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (EMBC, 2016)

Classification Active Learning Based on Mutual Information. - Jamshid Sourati; Murat Akçakaya; Jennifer G. Dy; Todd K. Leen; Deniz Erdogmus (Entropy, 2016)

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. - Jamshid Sourati; Murat Akçakaya; Todd K. Leen; Deniz Erdogmus; Jennifer G. Dy (J. Mach. Learn. Res., 2017)

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. - Jamshid Sourati; Murat Akçakaya; Deniz Erdogmus; Todd K. Leen; Jennifer G. Dy (IEEE Trans. Pattern Anal. Mach. Intell., 2018)