An anticipatory approach to improve XCSF. - Amin Nikanjam; Adel Torkaman Rahmani (GECCO, 2006)

An Evolutionary Approach to Clustering Ensemble. - Mehdi Mohammadi; Amin Nikanjam; Adel Rahmani (ICNC (3), 2008)

SHABaN Multi-agent Team To Herd Cows. - Adel Torkaman Rahmani; Alireza Saberi; Mehdi Mohammadi; Amin Nikanjam; Ehsan Adeli-Mosabbeb; Monireh Abdoos (ProMAS, 2008)

Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. - Hossein Karshenas; Amin Nikanjam; B. Hoda Helmi; Adel Torkaman Rahmani (GEC Summit, 2009)

Enhancing the efficiency of genetic algorithm by identifying linkage groups using DSM clustering. - Amin Nikanjam; Hadi Sharifi; B. Hoda Helmi; Adel Rahmani (IEEE Congress on Evolutionary Computation, 2010)

A new DSM clustering algorithm for linkage groups identification. - Amin Nikanjam; Hadi Sharifi; B. Hoda Helmi; Adel Torkaman Rahmani (GECCO, 2010)

Interaction detection for hybrid decomposable problems. - Hadi Sharifi; Amin Nikanjam; Adel Torkaman Rahmani (GECCO, 2011)

Efficient model building in competent genetic algorithms using DSM clustering. - Amin Nikanjam; Hadi Sharifi; Adel Torkaman Rahmani (AI Commun., 2011)

Galoan: a multi-agent approach to herd cows. - Vahid Rafe; Amin Nikanjam; Mohammad Rezaei (Ann. Math. Artif. Intell., 2011)

Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm. - Amin Nikanjam; Adel Rahmani (J. Comput. Sci. Technol., 2012)

Complexity of model learning in EDAs: multi-structure problems. - Hadi Sharifi; Amin Nikanjam; Hossein Karshenas; Negar Najimi (GECCO (Companion), 2014)

A meta-heuristic solution for automated refutation of complex software systems specified through graph transformations. - Vahid Rafe; Maryam Moradi; Rosa Yousefian; Amin Nikanjam (Appl. Soft Comput., 2015)

A hybrid optimization algorithm based on harmony search and differential evolution for continuous domain. - Vahid Rafe; Zahra Paiandeh; Amin Nikanjam (J. Intell. Fuzzy Syst., 2015)

Multi-structure problems: Difficult model learning in discrete EDAs. - Amin Nikanjam; Hossein Karshenas (CEC, 2016)

EMCDM: Efficient model checking by data mining for verification of complex software systems specified through architectural styles. - Einollah Pira; Vahid Rafe; Amin Nikanjam (Appl. Soft Comput., 2016)

Overlapping community detection in social networks using a quantum-based genetic algorithm. - Alireza Saleh Sedghpour; Amin Nikanjam (GECCO (Companion), 2017)

Deadlock detection in complex software systems specified through graph transformation using Bayesian optimization algorithm. - Einollah Pira; Vahid Rafe; Amin Nikanjam (J. Syst. Softw., 2017)

Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures. - Ali Keramatpour; Amin Nikanjam; Hossein Ghaffarian (Wirel. Pers. Commun., 2017)

Searching for violation of safety and liveness properties using knowledge discovery in complex systems specified through graph transformations. - Einollah Pira; Vahid Rafe; Amin Nikanjam (Inf. Softw. Technol., 2018)

Using evolutionary algorithms for reachability analysis of complex software systems specified through graph transformation. - Einollah Pira; Vahid Rafe; Amin Nikanjam (Reliab. Eng. Syst. Saf., 2019)

MDPCluster: a swarm-based community detection algorithm in large-scale graphs. - Mahsa Fozuni Shirjini; Saeed Farzi; Amin Nikanjam (Computing, 2020)

Cyrus 2D Simulation Team Description Paper2018. - Nader Zare; Mohsen Sadeghipour; Ashkan Keshavarzi; Mahtab Sarvmaili; Amin Nikanjam; Reza Aghayari; Arad Firouzkoohi; Mohammad Abolnejad; Sina Elahimanesh; Amin Akhgari (CoRR, 2020)

Design Smells in Deep Learning Programs: An Empirical Study. - Amin Nikanjam; Foutse Khomh (ICSME, 2021)

On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. - Paulina Stevia Nouwou Mindom; Amin Nikanjam; Foutse Khomh; John Mullins (QRS, 2021)

The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs. - Emilio Rivera-Landos; Foutse Khomh; Amin Nikanjam (QRS, 2021)

Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer. - Mahnoosh Mahdavimoghaddam; Amin Nikanjam; Monireh Abdoos (CoRR, 2021)

A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data. - Nazanin Shajoonnezhad; Amin Nikanjam (CoRR, 2021)

Stability analysis of the particle dynamics in bat algorithm: standard and modified versions. - Mahsa Fozuni Shirjini; Amin Nikanjam; Mahdi Aliyari Shoorehdeli (Eng. Comput., 2021)

An Empirical Study of Challenges in Converting Deep Learning Models. - Moses Openja; Amin Nikanjam; Ahmed Haj Yahmed; Foutse Khomh; Zhen Ming Jack Jiang (ICSME, 2022)

Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions. - Saumendu Roy; Gabriel Laberge; Banani Roy; Foutse Khomh; Amin Nikanjam; Saikat Mondal (ICSME, 2022)

Faults in deep reinforcement learning programs: a taxonomy and a detection approach. - Amin Nikanjam; Mohammad Mehdi Morovati; Foutse Khomh; Houssem Ben Braiek (Autom. Softw. Eng., 2022)

How to certify machine learning based safety-critical systems? A systematic literature review. - Florian Tambon; Gabriel Laberge; Le An; Amin Nikanjam; Paulina Stevia Nouwou Mindom; Yann Pequignot; Foutse Khomh; Giulio Antoniol; Ettore Merlo; François Laviolette (Autom. Softw. Eng., 2022)

Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms. - Saeed Ghadiri; Amin Nikanjam (CoRR, 2022)

Quality issues in Machine Learning Software Systems. - Pierre-Olivier Côté; Amin Nikanjam; Rached Bouchoucha; Foutse Khomh (CoRR, 2022)

Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer. - Mahnoosh Mahdavimoghadam; Amin Nikanjam; Monireh Abdoos (J. Supercomput., 2022)

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. - Amin Nikanjam; Houssem Ben Braiek; Mohammad Mehdi Morovati; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2022)

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. - Ahmed Haj Yahmed; Altaf Allah Abbassi; Amin Nikanjam; Heng Li 007; Foutse Khomh (ICSME, 2023)

Mutation Testing of Deep Reinforcement Learning Based on Real Faults. - Florian Tambon; Vahid Majdinasab; Amin Nikanjam; Foutse Khomh; Giuliano Antoniol (ICST, 2023)

Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation. - Zeynab Chitsazian; Saeed Sedighian Kashi; Amin Nikanjam (CoRR, 2023)

A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data. - Nazanin Shajoonnezhad; Amin Nikanjam (Int. J. Mach. Learn. Cybern., 2023)

Bugs in machine learning-based systems: a faultload benchmark. - Mohammad Mehdi Morovati; Amin Nikanjam; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2023)

GitHub Copilot AI pair programmer: Asset or Liability? - Arghavan Moradi Dakhel; Vahid Majdinasab; Amin Nikanjam; Foutse Khomh; Michel C. Desmarais; Zhen Ming (Jack) Jiang (J. Syst. Softw., 2023)

A comparison of reinforcement learning frameworks for software testing tasks. - Paulina Stevia Nouwou Mindom; Amin Nikanjam; Foutse Khomh (Empir. Softw. Eng., 2023)

Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning. - Saeid Jamshidi; Ashkan Amirnia; Amin Nikanjam; Foutse Khomh (ANT/EDI40, 2024)

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. - Rached Bouchoucha; Ahmed Haj Yahmed; Darshan Patil; Janarthanan Rajendran; Amin Nikanjam; Sarath Chandar; Foutse Khomh (ICSME, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn. - Vahid Majdinasab; Amin Nikanjam; Foutse Khomh (CoRR, 2024)

Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. - Florian Tambon; Amin Nikanjam; Foutse Khomh; Giuliano Antoniol (CoRR, 2024)

Fault Localization in Deep Learning-based Software: A System-level Approach. - Mohammad Mehdi Morovati; Amin Nikanjam; Foutse Khomh (CoRR, 2024)

An Efficient Model Maintenance Approach for MLOps. - Forough Majidi; Foutse Khomh; Heng Li 007; Amin Nikanjam (CoRR, 2024)

Continuously Learning Bug Locations. - Paulina Stevia Nouwou Mindom; Léuson M. P. da Silva; Amin Nikanjam; Foutse Khomh (CoRR, 2024)

Effective test generation using pre-trained Large Language Models and mutation testing. - Arghavan Moradi Dakhel; Amin Nikanjam; Vahid Majdinasab; Foutse Khomh; Michel C. Desmarais (Inf. Softw. Technol., 2024)

Bug characterization in machine learning-based systems. - Mohammad Mehdi Morovati; Amin Nikanjam; Florian Tambon; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2024)

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. - Florian Tambon; Amin Nikanjam; Le An; Foutse Khomh; Giuliano Antoniol (Empir. Softw. Eng., 2024)

Common challenges of deep reinforcement learning applications development: an empirical study. - Mohammad Mehdi Morovati; Florian Tambon; Mina Taraghi; Amin Nikanjam; Foutse Khomh (Empir. Softw. Eng., 2024)

Data cleaning and machine learning: a systematic literature review. - Pierre-Olivier Côté; Amin Nikanjam; Nafisa Ahmed; Dmytro Humeniuk; Foutse Khomh (Autom. Softw. Eng., 2024)

Quality issues in machine learning software systems. - Pierre-Olivier Côté; Amin Nikanjam; Rached Bouchoucha; Ilan Basta; Mouna Abidi; Foutse Khomh (Empir. Softw. Eng., 2024)

A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (SSE, 2025)

Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. - Saeid Jamshidi; Kawser Wazed Nafi; Amin Nikanjam; Foutse Khomh (Comput. Ind. Eng., 2025)

Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Rasoul Rasta (Internet Things, 2025)

The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities. - Saeid Jamshidi; Negar Shahabi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Carol Fung (Internet Things, 2025)

Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency. - Saeid Jamshidi; Ashkan Amirnia; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Samira Keivanpour (J. Netw. Comput. Appl., 2025)

Harnessing pre-trained generalist agents for software engineering tasks. - Paulina Stevia Nouwou Mindom; Amin Nikanjam; Foutse Khomh (Empir. Softw. Eng., 2025)

Unveiling Inefficiencies in LLM-Generated Code: Toward a Comprehensive Taxonomy. - Altaf Allah Abbassi; Léuson M. P. da Silva; Amin Nikanjam; Foutse Khomh (CoRR, 2025)

Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search. - Vahid Majdinasab; Amin Nikanjam; Foutse Khomh (CoRR, 2025)

Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (CoRR, 2025)

Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (Int. J. Inf. Sec., 2025)

Trained without My Consent: Detecting Code Inclusion in Language Models Trained on Code. - Vahid Majdinasab; Amin Nikanjam; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2025)

Bugs in large language models generated code: an empirical study. - Florian Tambon; Arghavan Moradi Dakhel; Amin Nikanjam; Foutse Khomh; Michel C. Desmarais; Giuliano Antoniol (Empir. Softw. Eng., 2025)

ReCatcher: Towards LLMs Regression Testing for Code Generation. - Altaf Allah Abbassi; Léuson M. P. da Silva; Amin Nikanjam; Foutse Khomh (CoRR, 2025)