Recovery analysis of supervisory control of discrete event systems. - Houshang Darabi; Mohsen A. Jafari (SMC, 1998)

Adaptive Supervisory Control under Sensor Unavailability. - Houshang Darabi; Mohsen A. Jafari (ICRA, 2000)

Genetic algorithm convergence study for sensor network optimization. - Anna L. Buczak; Henry (Hui) Wang; Houshang Darabi; Mohsen A. Jafari (Inf. Sci., 2001)

Ramadge-Wonham Supervisory Control of Mobile Robots: Lessons from Practice. - Jing Liu; Houshang Darabi (ICRA, 2002)

A control switching theory for supervisory control of discrete event systems. - Houshang Darabi; Mohsen A. Jafari; Anna L. Buczak (IEEE Trans. Robotics Autom., 2003)

Finite automata decomposition for flexible manufacturing systems control and scheduling. - Houshang Darabi; Mohsen A. Jafari; S. S. Manapure (IEEE Trans. Syst. Man Cybern. Part C, 2003)

On the Application of Petri Net Supervisory Controllers in Dynamic Reconfiguration of Medical Emergency Resources. - Rupa Sampath; Houshang Darabi (CCCT (2), 2004)

Control reconfiguration of discrete event systems controllers with partial observation. - Jing Liu; Houshang Darabi (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Diagnosis and debugging of programmable logic controller control programs by neural networks. - Magdy M. Abdelhameed; Houshang Darabi (CASE, 2005)

Supervisory Control of Time Petri Nets Using Net Unfolding. - Ugo A. Buy; Houshang Darabi; Mihai Lehene; Vikram Venepally (COMPSAC (2), 2005)

Latency-Based Supervisors for Enforcing Deadlines in Time Petri Nets. - Ugo A. Buy; Mihai Lehene; Houshang Darabi (SEW, 2005)

Petri Net based Supervisory Control Reconfiguration of Project Management Systems. - Maryam Haji; Houshang Darabi (CASE, 2007)

Enforcing transition deadlines in time Petri nets. - Haisheng Wang; Liviu Grigore; Ugo A. Buy; Houshang Darabi (ETFA, 2007)

Survey of Wireless Indoor Positioning Techniques and Systems. - Hui Liu; Houshang Darabi; Pat P. Banerjee; Jing Liu (IEEE Trans. Syst. Man Cybern. Part C, 2007)

An improved multi-mode resource allocation and project scheduling model. - Maryam Haji; Luca Agostoni; Paolo Gullo; Houshang Darabi; Mauro Mancini (CASE, 2008)

Control Reconfiguration of Discrete Event Systems With Dynamic Control Specifications. - Rupa Sampath; Houshang Darabi; Ugo A. Buy; Liu Jing (IEEE Trans Autom. Sci. Eng., 2008)

Modeling and integration of hospital information systems with Petri nets. - Houshang Darabi; William L. Galanter; Janet Yueh-Yun Lin; Ugo A. Buy; Rupa Sampath (SOLI, 2009)

A heuristic algorithm for schedule reconfiguration of projects during Execution. - Maryam Haji; Houshang Darabi (SOLI, 2009)

Supervisory control and data collection policies for a distribution center modeled as a discrete event system. - Francesca Schuler; Houshang Darabi (ICNSC, 2010)

A simulation case study: Reducing outpatient waiting time of otolaryngology care services using VBA. - Maryam Haji; Houshang Darabi (CASE, 2011)

Formal Modeling of Sequential Function Charts With Time Petri Nets. - Nicholas Wightkin; Ugo A. Buy; Houshang Darabi (IEEE Trans. Control. Syst. Technol., 2011)

Enforcing Periodic Transition Deadlines in Time Petri Nets With Net Unfoldings. - Haisheng Wang; Liviu Grigore; Ugo A. Buy; Mihai Lehene; Houshang Darabi (IEEE Trans. Syst. Man Cybern. Part A, 2011)

Early warning system modeling for patient bispectral index prognosis in anesthesia and the operating room. - Josh Reese; Yong Wang; Lin Li 004; Houshang Darabi; Erik Osland; Mehmet S. Ozcan; Verna L. Baughman; Guy Edelman (CASE, 2012)

Observation policies for patient and resource tracking in outpatient clinics. - Ashkan Sharabiani; Houshang Darabi (CASE, 2012)

Machine learning based prediction of warfarin optimal dosing for African American patients. - Ashkan Sharabiani; Houshang Darabi; Adam Bress; Larisa Cavallari; Edith Nutescu; Katarzyna Drozda (CASE, 2013)

An enhanced bayesian network model for prediction of students' academic performance in engineering programs. - Ashkan Sharabiani; Fazle Karim; Anooshiravan Sharabiani; Mariya Atanasov; Houshang Darabi (EDUCON, 2014)

Revisiting Warfarin Dosing Using Machine Learning Techniques. - Ashkan Sharabiani; Adam Bress; Elnaz Douzali; Houshang Darabi (Comput. Math. Methods Medicine, 2015)

A novel Bayesian and Chain Rule Model on symbolic representation for time series classification. - Anooshiravan Sharabiani; Ashkan Sharabiani; Houshang Darabi (CASE, 2016)

Efficient Classification of Long Time Series by 3-D Dynamic Time Warping. - Anooshiravan Sharabiani; Houshang Darabi; Ashkan Rezaei; Samuel Harford; Hereford Johnson; Fazle Karim (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine. - Maryam Pishgar; Fazle Karim; Somshubra Majumdar; Houshang Darabi (IEEE BigData, 2018)

LSTM Fully Convolutional Networks for Time Series Classification. - Fazle Karim; Somshubra Majumdar; Houshang Darabi; Shun Chen (IEEE Access, 2018)

A New Approach towards Minimizing the Risk of Misdosing Warfarin Initiation Doses. - Ashkan Sharabiani; Edith Nutescu; William L. Galanter; Houshang Darabi (Comput. Math. Methods Medicine, 2018)

Asymptotic Dynamic Time Warping calculation with utilizing value repetition. - Anooshiravan Sharabiani; Houshang Darabi; Samuel Harford; Elnaz Douzali; Fazle Karim; Hereford Johnson; Shun Chen (Knowl. Inf. Syst., 2018)

A Framework for Accurate Time Series Classification Based on Partial Observation. - Fazle Karim; Houshang Darabi; Samuel Harford; Shun Chen; Anooshiravan Sharabiani (CASE, 2019)

A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function. - Ashkan Sharabiani; Adam Bress; William L. Galanter; Rezvan Nazempour; Houshang Darabi (CASE, 2019)

Process Mining of Programmable Logic Controllers: Input/Output Event Logs. - Julian Theis; Ilia Mokhtarian; Houshang Darabi (CASE, 2019)

Engineering Identity Profiles of Low-SES, High-Achieving Incoming Engineering Students. - Renata A. Revelo; Janet Omitoyin; Martin Cardona; Rezvan Nazempour; Houshang Darabi (FIE, 2019)

Insights Into LSTM Fully Convolutional Networks for Time Series Classification. - Fazle Karim; Somshubra Majumdar; Houshang Darabi (IEEE Access, 2019)

Decay Replay Mining to Predict Next Process Events. - Julian Theis; Houshang Darabi (IEEE Access, 2019)

DREAM-NAP: Decay Replay Mining to Predict Next Process Activities. - Julian Theis; Houshang Darabi (CoRR, 2019)

Guest editorial for special issue on time series classification. - Houshang Darabi; Georgiana Ifrim; Patrick Schäfer 001; Diego Furtado Silva (IEEE CAA J. Autom. Sinica, 2019)

Multivariate LSTM-FCNs for time series classification. - Fazle Karim; Somshubra Majumdar; Houshang Darabi; Samuel Harford (Neural Networks, 2019)

Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. - Julian Theis; Houshang Darabi (Proc. ACM Hum. Comput. Interact., 2019)

Adversarial System Variant Approximation to Quantify Process Model Generalization. - Julian Theis; Houshang Darabi (IEEE Access, 2020)

Adversarial Attacks on Multivariate Time Series. - Samuel Harford; Fazle Karim; Houshang Darabi (CoRR, 2020)

On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. - Julian Theis; Ilia Mokhtarian; Houshang Darabi (ICPM Workshops, 2021)

Masking Neural Networks Using Reachability Graphs to Predict Process Events. - Julian Theis; Houshang Darabi (CoRR, 2021)

Process Mining Model to Predict Mortality in Paralytic Ileus Patients. - Maryam Pishgar; Martha Razo; Julian Theis; Houshang Darabi (CoRR, 2021)

Improving Time Series Classification Algorithms Using Octave-Convolutional Layers. - Samuel Harford; Fazle Karim; Houshang Darabi (CoRR, 2021)

Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders. - Samuel Harford; Fazle Karim; Houshang Darabi (IEEE CAA J. Autom. Sinica, 2021)

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models. - William L. Galanter; Jorge Mario Rodríguez-Fernández; Kevin Chow; Samuel Harford; Karl M. Kochendorfer; Maryam Pishgar; Julian Theis; John Zulueta; Houshang Darabi (BMC Medical Informatics Decis. Mak., 2021)

Adversarial Attacks on Time Series. - Fazle Karim; Somshubra Majumdar; Houshang Darabi (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Improving Process Discovery Algorithms Using Event Concatenation. - Maryam Pishgar; Martha Razo; Houshang Darabi (IEEE Access, 2022)

A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow. - Samuel Harford; Marina Del Rios; Sara Heinert; Joseph Weber; Eddie Markul; Katie Tataris; Teri Campbell; Terry L. Vanden Hoek; Houshang Darabi (BMC Medical Informatics Decis. Mak., 2022)

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. - Maryam Pishgar; Samuel Harford; Julian Theis; William L. Galanter; Jorge Mario Rodríguez-Fernández; L. H. Chaisson; Y. Zhang; A. Trotter; Karl M. Kochendorfer; A. Boppana; Houshang Darabi (BMC Medical Informatics Decis. Mak., 2022)

Prediction of unplanned 30-day readmission for ICU patients with heart failure. - Maryam Pishgar; Julian Theis; Marina Del Rios; Amer Ardati; H. Anahideh; Houshang Darabi (BMC Medical Informatics Decis. Mak., 2022)

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture. - Julian Theis; William L. Galanter; Andrew D. Boyd; Houshang Darabi (IEEE J. Biomed. Health Informatics, 2022)

Adjacency Matrix Deep Learning Prediction Model for Prognosis of the Next Event in a Process. - Martha Razo; Houshang Darabi (IEEE Access, 2023)

Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks. - Julian Theis; Houshang Darabi (IEEE Trans. Comput. Soc. Syst., 2023)

Improvement of railroad maintenance program: predicting the degradation level of railroad timber ties through the application of the random forest model. - Faeze Khademi; Houshang Darabi; Daniel Leeb; Samuel Harford; Vipul Dhariwal (Discov. Artif. Intell., 2025)