Mahshid Helali Moghadam

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Attention Mechanism

Plagiarism Detection

Reinforcement Learning

Top Venues

Softw. Qual. J.

Publications

Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper
Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing. J. Softw. Evol. Process. 36 (5) (2024)
Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas
Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience. CoRR (2024)
Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. EvoApplications@EvoStar (2024)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Huiyu Zhou, Mahshid Helali Moghadam
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? Knowl. Based Syst. 272 (2023)
Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system. Softw. Qual. J. 31 (2) (2023)
Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson
Anomaly Detection Dataset for Industrial Control Systems. CoRR (2023)
Alireza Dehlaghi-Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans Hansson, Mauro Conti
ICSSIM - A framework for building industrial control systems security testbeds. Comput. Ind. 148 (2023)
Muhammad Abbas, Ali Hamayouni, Mahshid Helali Moghadam, Mehrdad Saadatmand, Per Erik Strandberg
Making Sense of Failure Logs in an Industrial DevOps Environment. CoRR (2023)
Alireza Dehlaghi-Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson
Anomaly Detection Dataset for Industrial Control Systems. IEEE Access 11 (2023)
Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing. CoRR (2022)
Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System. CoRR (2022)
Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. EvoApplications (2022)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning. Softw. Qual. J. 30 (1) (2022)
Marjan Sirjani, Luciana Provenzano, Sara Abbaspour Asadollah, Mahshid Helali Moghadam, Mehrdad Saadatmand
Towards a Verification-Driven Iterative Development of Software for Safety-Critical Cyber-Physical Systems. J. Internet Serv. Appl. 12 (1) (2021)
Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent. CEC (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. CoRR (2021)
Mahshid Helali Moghadam, Markus Borg, Seyed Jalaleddin Mousavirad
Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search. SBST@ICSE (2021)
Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand
Automated Performance Testing Based on Active Deep Learning. CoRR (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. CoRR (2021)
Hamid Ebabi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha
Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL. CoRR (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. SSCI (2021)
Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg, Gregory Gay, Afonso Fontes, Kasper Socha
Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL. AITest (2021)
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand
An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes. CoRR (2021)
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand
An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes. ICONIP (3) (2021)
Mahshid Helali Moghadam, Golrokh Hamidi, Markus Borg, Mehrdad Saadatmand, Markus Bohlin, Björn Lisper, Pasqualina Potena
Performance Testing Using a Smart Reinforcement Learning-Driven Test Agent. CoRR (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. SMC (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
A population-based automatic clustering algorithm for image segmentation. GECCO Companion (2021)
Ali Sedaghatbaf, Mahshid Helali Moghadam, Mehrdad Saadatmand
Automated Performance Testing Based on Active Deep Learning. AST@ICSE (2021)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
Poster: Performance Testing Driven by Reinforcement Learning. ICST (2020)
Marjan Sirjani, Luciana Provenzano, Sara Abbaspour Asadollah, Mahshid Helali Moghadam
From Requirements to Verifiable Executable Models Using Rebeca. SEFM (2020)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning. CoRR (2019)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
Machine Learning to Guide Performance Testing: An Autonomous Test Framework. ICST Workshops (2019)
Mahshid Helali Moghadam
Machine learning-assisted performance testing. ESEC/SIGSOFT FSE (2019)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
Learning-Based Self-Adaptive Assurance of Timing Properties in a Real-Time Embedded System. ICST Workshops (2018)
Mahshid Helali Moghadam, Seyed Morteza Babamir
Makespan reduction for dynamic workloads in cluster-based data grids using reinforcement-learning based scheduling. J. Comput. Sci. 24 (2018)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
Learning-based response time analysis in real-time embedded systems: a simulation-based approach. SQUADE@ICSE (2018)
Mahshid Helali Moghadam, Mehrdad Saadatmand, Markus Borg, Markus Bohlin, Björn Lisper
Adaptive runtime response time control in PLC-based real-time systems using reinforcement learning. SEAMS@ICSE (2018)
Olumuyiwa Ibidunmoye, Mahshid Helali Moghadam, Ewnetu Bayuh Lakew, Erik Elmroth
Adaptive Service Performance Control using Cooperative Fuzzy Reinforcement Learning in Virtualized Environments. UCC (2017)
Foroogh Sedighi, Mahshid Helali Moghadam
Integration of heterogeneous data sources in smart grid based on summary schema model. IIT (2016)
Mahshid Helali Moghadam, Seyed Morteza Babamir, Meghdad Mirabi
A Multi-Objective Optimization Model for Data-Intensive Workflow Scheduling in Data Grids. LCN Workshops (2016)