On a Stochastic Integral Equation of the Volterra Type. - Chris P. Tsokos (Math. Syst. Theory, 1969)

On the Definition of a Stochastic Differential Game. - Emilio Roxin; Chris P. Tsokos (Math. Syst. Theory, 1970)

Distributed-Parameter Systems with Time-Delay - Chris P. Tsokos; A. N. V. Rao (Inf. Control., 1971)

An Information Measure of Association in Contingency Tables - M. A. Hamdan; Chris P. Tsokos (Inf. Control., 1971)

An Empirical Bayes Approach to Point Estimation in Adaptive Control - W. G. Nichols; Chris P. Tsokos (Inf. Control., 1972)

A Stochastic Integral Equation in Hilbert Space with a Discrete Version and Application to Stochastic Systems. - William J. Padgett; Chris P. Tsokos (Math. Syst. Theory, 1973)

Existence and stability behavior of random solutions of a system of nonlinear random equations. - S. T. Hardiman; Chris P. Tsokos (Inf. Sci., 1975)

On the Existence, Uniqueness, and Stability Behavior of a Random Solution to a Nonlinear Perturbed Stochastic Integro-Differential Equation - A. N. V. Rao; Chris P. Tsokos (Inf. Control., 1975)

Bayes discrimination with mean square error loss. - Chris P. Tsokos; R. L. W. Welch (Pattern Recognit., 1978)

A nonparametric classification scheme with mean squared error criterion. - John C. Turner; Chris P. Tsokos (Pattern Recognit., 1978)

Statistical Properties of a Linear Stochastic System - George W. Schultz; Chris P. Tsokos; A. N. V. Rao (Inf. Control., 1978)

Bayes Estimation of Reliability Using an Estimated Prior Distribution. - William J. Padgett; Chris P. Tsokos (Oper. Res., 1979)

Airline spill analysis usnig Gumbel and Moyal probability distributions. - Gokarna R. Aryal; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

A temperature forecasting model for the continental United States. - Shou Hsing; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

Record values from half logistics and inverse Weibull probability distribution functions. - Alfred K. Mbah; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

Prediction models for carbon dioxide emissions and the atmosphere. - Shou Hsing Shih; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

Bayesian reliability analysis for the Gumbel failure model. - Chris P. Tsokos; Branko Miladinovic (Neural Parallel Sci. Comput., 2008)

A Markovian analysis of hurricane transitions. - Rebecca D. Wooten; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

Statistical analysis and modeling of lightning. - Rebecca D. Wooten; Chris P. Tsokos (Neural Parallel Sci. Comput., 2008)

Generalized Extreme Value Family of Probability Distributions. - Chris P. Tsokos (International Encyclopedia of Statistical Science, 2011)

Mathematical and Statistical Modeling of Global Warming. - Chris P. Tsokos (International Encyclopedia of Statistical Science, 2011)

Parametric and Nonparametric Reliability Analysis. - Chris P. Tsokos (International Encyclopedia of Statistical Science, 2011)

Two Artificial Neural Networks for Modeling Discrete Survival Time of Censored Data. - Taysseer Sharaf; Chris P. Tsokos (Adv. Artif. Intell., 2015)

Random eye state change detection in real-time using EEG signals. - Abolfazl Saghafi; Chris P. Tsokos; Mahdi Goudarzi; Hamidreza Farhidzadeh (Expert Syst. Appl., 2017)

Common spatial pattern method for real-time eye state identification by using electroencephalogram signals. - Abolfazl Saghafi; Chris P. Tsokos; Hamidreza Farhidzadeh (IET Signal Process., 2017)

Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering. - Dooyoung Kim; Chris P. Tsokos (J. Stat. Theory Appl., 2018)

Automatic object detection using dynamic time warping on ground penetrating radar signals. - Sajad Jazayeri; Abolfazl Saghafi; Sanaz Esmaeili; Chris P. Tsokos (Expert Syst. Appl., 2019)

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks. - K. Ruwani M. Fernando; Chris P. Tsokos (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation. - K. Ruwani M. Fernando; Chris P. Tsokos (Inf. Fusion, 2023)