Amin Nikanjam

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 59

Top Topics

Reinforcement Learning

Overlapping Community Detection

Graph Transformation

Top Venues

Empir. Softw. Eng.

Autom. Softw. Eng.

Publications

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. CoRR (2024)
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
Effective test generation using pre-trained Large Language Models and mutation testing. Inf. Softw. Technol. 171 (2024)
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
Bugs in Large Language Models Generated Code: An Empirical Study. CoRR (2024)
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
Data cleaning and machine learning: a systematic literature review. Autom. Softw. Eng. 31 (2) (2024)
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang
Bug characterization in machine learning-based systems. Empir. Softw. Eng. 29 (1) (2024)
Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. CoRR (2024)
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empir. Softw. Eng. 29 (1) (2024)
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn. CoRR (2024)
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
Common challenges of deep reinforcement learning applications development: an empirical study. Empir. Softw. Eng. 29 (4) (2024)
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang
GitHub Copilot AI pair programmer: Asset or Liability? J. Syst. Softw. 203 (2023)
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. ICSME (2023)
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing. CoRR (2023)
Nazanin Shajoonnezhad, Amin Nikanjam
A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data. Int. J. Mach. Learn. Cybern. 14 (3) (2023)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
A comparison of reinforcement learning frameworks for software testing tasks. Empir. Softw. Eng. 28 (5) (2023)
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. CoRR (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST (2023)
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
Data Cleaning and Machine Learning: A Systematic Literature Review. CoRR (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR (2023)
Zeynab Chitsazian, Saeed Sedighian Kashi, Amin Nikanjam
Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation. CoRR (2023)
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
Quality Issues in Machine Learning Software Systems. CoRR (2023)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
Harnessing Pre-trained Generalist Agents for Software Engineering Tasks. CoRR (2023)
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
Bug Characterization in Machine Learning-based Systems. CoRR (2023)
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study. CoRR (2023)
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang
Bugs in machine learning-based systems: a faultload benchmark. Empir. Softw. Eng. 28 (3) (2023)
Saeed Ghadiri, Amin Nikanjam
Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms. CoRR (2022)
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming Jiang
GitHub Copilot AI pair programmer: Asset or Liability? CoRR (2022)
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang
An Empirical Study of Challenges in Converting Deep Learning Models. ICSME (2022)
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jiang
An Empirical Study of Challenges in Converting Deep Learning Models. CoRR (2022)
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh
Quality issues in Machine Learning Software Systems. CoRR (2022)
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Autom. Softw. Eng. 29 (1) (2022)
Mahnoosh Mahdavimoghadam, Amin Nikanjam, Monireh Abdoos
Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer. J. Supercomput. 78 (8) (2022)
Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal
Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions. ICSME (2022)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks. CoRR (2022)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. 29 (2) (2022)
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Trans. Softw. Eng. Methodol. 31 (1) (2022)
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming Jiang
Bugs in Machine Learning-based Systems: A Faultload Benchmark. CoRR (2022)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR (2021)
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. CoRR (2021)
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. CoRR (2021)
Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
The challenge of reproducible ML: an empirical study on the impact of bugs. CoRR (2021)
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. CoRR (2021)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. QRS (2021)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. CoRR (2021)
Nazanin Shajoonnezhad, Amin Nikanjam
A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data. CoRR (2021)
Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs. QRS (2021)
Mahnoosh Mahdavimoghaddam, Amin Nikanjam, Monireh Abdoos
Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer. CoRR (2021)
Mahsa Fozuni Shirjini, Amin Nikanjam, Mahdi Aliyari Shoorehdeli
Stability analysis of the particle dynamics in bat algorithm: standard and modified versions. Eng. Comput. 37 (4) (2021)
Amin Nikanjam, Foutse Khomh
Design Smells in Deep Learning Programs: An Empirical Study. CoRR (2021)
Amin Nikanjam, Foutse Khomh
Design Smells in Deep Learning Programs: An Empirical Study. ICSME (2021)
Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari
Cyrus 2D Simulation Team Description Paper2018. CoRR (2020)
Mahsa Fozuni Shirjini, Saeed Farzi, Amin Nikanjam
MDPCluster: a swarm-based community detection algorithm in large-scale graphs. Computing 102 (4) (2020)
Einollah Pira, Vahid Rafe, Amin Nikanjam
Using evolutionary algorithms for reachability analysis of complex software systems specified through graph transformation. Reliab. Eng. Syst. Saf. 191 (2019)
Einollah Pira, Vahid Rafe, Amin Nikanjam
Searching for violation of safety and liveness properties using knowledge discovery in complex systems specified through graph transformations. Inf. Softw. Technol. 97 (2018)
Alireza Saleh Sedghpour, Amin Nikanjam
Overlapping community detection in social networks using a quantum-based genetic algorithm. GECCO (Companion) (2017)
Einollah Pira, Vahid Rafe, Amin Nikanjam
Deadlock detection in complex software systems specified through graph transformation using Bayesian optimization algorithm. J. Syst. Softw. 131 (2017)
Ali Keramatpour, Amin Nikanjam, Hossein Ghaffarian
Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures. Wirel. Pers. Commun. 96 (3) (2017)
Amin Nikanjam, Hossein Karshenas
Multi-structure problems: Difficult model learning in discrete EDAs. CEC (2016)
Einollah Pira, Vahid Rafe, Amin Nikanjam
EMCDM: Efficient model checking by data mining for verification of complex software systems specified through architectural styles. Appl. Soft Comput. 49 (2016)
Vahid Rafe, Maryam Moradi, Rosa Yousefian, Amin Nikanjam
A meta-heuristic solution for automated refutation of complex software systems specified through graph transformations. Appl. Soft Comput. 33 (2015)
Vahid Rafe, Zahra Paiandeh, Amin Nikanjam
A hybrid optimization algorithm based on harmony search and differential evolution for continuous domain. J. Intell. Fuzzy Syst. 29 (5) (2015)
Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi
Complexity of model learning in EDAs: multi-structure problems. GECCO (Companion) (2014)
Amin Nikanjam, Adel Rahmani
Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm. J. Comput. Sci. Technol. 27 (5) (2012)
Amin Nikanjam, Hadi Sharifi, Adel Torkaman Rahmani
Efficient model building in competent genetic algorithms using DSM clustering. AI Commun. 24 (3) (2011)
Hadi Sharifi, Amin Nikanjam, Adel Torkaman Rahmani
Interaction detection for hybrid decomposable problems. GECCO (2011)
Vahid Rafe, Amin Nikanjam, Mohammad Rezaei
Galoan: a multi-agent approach to herd cows. Ann. Math. Artif. Intell. 61 (4) (2011)
Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Rahmani
Enhancing the efficiency of genetic algorithm by identifying linkage groups using DSM clustering. IEEE Congress on Evolutionary Computation (2010)
Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani
A new DSM clustering algorithm for linkage groups identification. GECCO (2010)
Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani
Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. GEC Summit (2009)
Mehdi Mohammadi, Amin Nikanjam, Adel Rahmani
An Evolutionary Approach to Clustering Ensemble. ICNC (3) (2008)
Adel Torkaman Rahmani, Alireza Saberi, Mehdi Mohammadi, Amin Nikanjam, Ehsan Adeli-Mosabbeb, Monireh Abdoos
SHABaN Multi-agent Team To Herd Cows. ProMAS (2008)
Amin Nikanjam, Adel Torkaman Rahmani
An anticipatory approach to improve XCSF. GECCO (2006)