Houshang Darabi

Orcid: 0000-0001-7881-6542

Affiliations:
  • University of Illinois at Chicago, Chicago, IL, USA


According to our database1, Houshang Darabi authored at least 59 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks.
IEEE Trans. Comput. Soc. Syst., August, 2023

Adjacency Matrix Deep Learning Prediction Model for Prognosis of the Next Event in a Process.
IEEE Access, 2023

2022
Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.
IEEE J. Biomed. Health Informatics, 2022

Prediction of unplanned 30-day readmission for ICU patients with heart failure.
BMC Medical Informatics Decis. Mak., 2022

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.
BMC Medical Informatics Decis. Mak., 2022

A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow.
BMC Medical Informatics Decis. Mak., 2022

Improving Process Discovery Algorithms Using Event Concatenation.
IEEE Access, 2022

2021
Adversarial Attacks on Time Series.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models.
BMC Medical Informatics Decis. Mak., 2021

Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders.
IEEE CAA J. Autom. Sinica, 2021

Improving Time Series Classification Algorithms Using Octave-Convolutional Layers.
CoRR, 2021

Process Mining Model to Predict Mortality in Paralytic Ileus Patients.
CoRR, 2021

Masking Neural Networks Using Reachability Graphs to Predict Process Events.
CoRR, 2021

On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020
Adversarial Attacks on Multivariate Time Series.
CoRR, 2020

Adversarial System Variant Approximation to Quantify Process Model Generalization.
IEEE Access, 2020

2019
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments.
Proc. ACM Hum. Comput. Interact., 2019

Multivariate LSTM-FCNs for time series classification.
Neural Networks, 2019

Guest editorial for special issue on time series classification.
IEEE CAA J. Autom. Sinica, 2019

DREAM-NAP: Decay Replay Mining to Predict Next Process Activities.
CoRR, 2019

Decay Replay Mining to Predict Next Process Events.
IEEE Access, 2019

Insights Into LSTM Fully Convolutional Networks for Time Series Classification.
IEEE Access, 2019

Engineering Identity Profiles of Low-SES, High-Achieving Incoming Engineering Students.
Proceedings of the IEEE Frontiers in Education Conference, 2019

Process Mining of Programmable Logic Controllers: Input/Output Event Logs.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 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.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

A Framework for Accurate Time Series Classification Based on Partial Observation.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Asymptotic Dynamic Time Warping calculation with utilizing value repetition.
Knowl. Inf. Syst., 2018

A New Approach towards Minimizing the Risk of Misdosing Warfarin Initiation Doses.
Comput. Math. Methods Medicine, 2018

LSTM Fully Convolutional Networks for Time Series Classification.
IEEE Access, 2018

Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Efficient Classification of Long Time Series by 3-D Dynamic Time Warping.
IEEE Trans. Syst. Man Cybern. Syst., 2017

2016
A novel Bayesian and Chain Rule Model on symbolic representation for time series classification.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Revisiting Warfarin Dosing Using Machine Learning Techniques.
Comput. Math. Methods Medicine, 2015

2014
An enhanced bayesian network model for prediction of students' academic performance in engineering programs.
Proceedings of the 2014 IEEE Global Engineering Education Conference, 2014

2013
Machine learning based prediction of warfarin optimal dosing for African American patients.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Observation policies for patient and resource tracking in outpatient clinics.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

Early warning system modeling for patient bispectral index prognosis in anesthesia and the operating room.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

2011
Enforcing Periodic Transition Deadlines in Time Petri Nets With Net Unfoldings.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Formal Modeling of Sequential Function Charts With Time Petri Nets.
IEEE Trans. Control. Syst. Technol., 2011

A simulation case study: Reducing outpatient waiting time of otolaryngology care services using VBA.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

2010
Supervisory control and data collection policies for a distribution center modeled as a discrete event system.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2009
A heuristic algorithm for schedule reconfiguration of projects during Execution.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

Modeling and integration of hospital information systems with Petri nets.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

2008
Control Reconfiguration of Discrete Event Systems With Dynamic Control Specifications.
IEEE Trans Autom. Sci. Eng., 2008

An improved multi-mode resource allocation and project scheduling model.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

2007
Survey of Wireless Indoor Positioning Techniques and Systems.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Enforcing transition deadlines in time Petri nets.
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007

Petri Net based Supervisory Control Reconfiguration of Project Management Systems.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2005
Latency-Based Supervisors for Enforcing Deadlines in Time Petri Nets.
Proceedings of the 29th Annual IEEE / NASA Software Engineering Workshop (SEW-29 2005), 2005

Supervisory Control of Time Petri Nets Using Net Unfolding.
Proceedings of the 29th Annual International Computer Software and Applications Conference, 2005

Diagnosis and debugging of programmable logic controller control programs by neural networks.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2005

2004
Control reconfiguration of discrete event systems controllers with partial observation.
IEEE Trans. Syst. Man Cybern. Part B, 2004

On the Application of Petri Net Supervisory Controllers in Dynamic Reconfiguration of Medical Emergency Resources.
Proceedings of the 2nd International Conference Computing, 2004

2003
Finite automata decomposition for flexible manufacturing systems control and scheduling.
IEEE Trans. Syst. Man Cybern. Part C, 2003

A control switching theory for supervisory control of discrete event systems.
IEEE Trans. Robotics Autom., 2003

2002
Ramadge-Wonham Supervisory Control of Mobile Robots: Lessons from Practice.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001
Genetic algorithm convergence study for sensor network optimization.
Inf. Sci., 2001

2000
Adaptive Supervisory Control under Sensor Unavailability.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1998
Recovery analysis of supervisory control of discrete event systems.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998


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