Temporal Activity Analysis. - Isaac J. Sledge; James M. Keller; Timothy C. Havens; Gregory L. Alexander; Marge Skubic (AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems, 2008)

(Automatic) Cluster Count Extraction from Unlabeled Data Sets. - Isaac J. Sledge; Jacalyn M. Huband; James C. Bezdek (FSKD (1), 2008)

Growing neural gas for temporal clustering. - Isaac J. Sledge; James M. Keller (ICPR, 2008)

Mapping natural language to imagery: Placing objects intelligently. - Isaac J. Sledge; James M. Keller (FUZZ-IEEE, 2009)

Finding the number of clusters in ordered dissimilarities. - Isaac J. Sledge; Timothy C. Havens; Jacalyn M. Huband; James C. Bezdek; James M. Keller (Soft Comput., 2009)

A relational dual of the fuzzy possibilistic c-means algorithm. - Isaac J. Sledge; James C. Bezdek; Timothy C. Havens; James M. Keller (FUZZ-IEEE, 2010)

A projection transform for non-Euclidean relational clustering. - Isaac J. Sledge (IJCNN, 2010)

Relational Generalizations of Cluster Validity Indices. - Isaac J. Sledge; James C. Bezdek; Timothy C. Havens; James M. Keller (IEEE Trans. Fuzzy Syst., 2010)

Relational Duals of Cluster-Validity Functions for the c -Means Family. - Isaac J. Sledge; Timothy C. Havens; James C. Bezdek; James M. Keller (IEEE Trans. Fuzzy Syst., 2010)

Conflation of Vector Buildings With Imagery. - Isaac J. Sledge; James M. Keller; Wenbo Song; Curt H. Davis (IEEE Geosci. Remote. Sens. Lett., 2011)

An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks. - Isaac J. Sledge; Liqian Peng; Kamran Mohseni (DyDESS, 2014)

Balancing exploration and exploitation in reinforcement learning using a value of information criterion. - Isaac J. Sledge; José C. Príncipe (ICASSP, 2017)

Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits. - Isaac J. Sledge; José C. Príncipe (CoRR, 2017)

Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information. - Isaac J. Sledge; José C. Príncipe (ICASSP, 2018)

Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes. - Isaac J. Sledge; José C. Príncipe (IJCNN, 2018)

An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits. - Isaac J. Sledge; José C. Príncipe (Entropy, 2018)

Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion. - Isaac J. Sledge; Matthew S. Emigh; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images. - Isaac J. Sledge; José C. Príncipe (ICASSP, 2019)

An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains. - Isaac J. Sledge; José C. Príncipe (ICASSP, 2019)

Reduction of Markov Chains Using a Value-of-Information-Based Approach. - Isaac J. Sledge; José C. Príncipe (Entropy, 2019)

Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies. - Isaac John Sledge; José C. Príncipe (IEEE Trans. Games, 2019)

Regularized Training of Convolutional Autoencoders using the Rényi-Stratonovich Value of Information. - Isaac J. Sledge; José C. Príncipe (IJCNN, 2020)

An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. - Isaac J. Sledge; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2020)

Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. - Isaac J. Sledge; Matthew S. Emigh; Jonathan L. King; Denton L. Woods; J. Tory Cobb; José C. Príncipe (CoRR, 2021)

An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. - Isaac J. Sledge; José C. Príncipe (CoRR, 2021)

External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. - Isaac J. Sledge; Christopher D. Toole; Joseph A. Maestri; José C. Príncipe (CoRR, 2021)

Estimating Rényi's α-Cross-Entropies in a Matrix-Based Way. - Isaac J. Sledge; José C. Príncipe (CoRR, 2021)

Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. - Isaac J. Sledge; José C. Príncipe (CoRR, 2022)

Annotating Motion Primitives for Simplifying Action Search in Reinforcement Learning. - Isaac J. Sledge; Darshan W. Bryner; José C. Príncipe (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. - Isaac J. Sledge; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2023)

Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery. - Isaac J. Sledge; Dominic M. Byrne; Jonathan L. King; Steven H. Ostertag; Denton L. Woods; James L. Prater; Jermaine L. Kennedy; Timothy M. Marston; José C. Príncipe (CoRR, 2024)