Amin Nikanjam - RankMe

105 papers A 10B 2C 2Journal 83Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An efficient model maintenance approach for MLOps. Empir. Softw. Eng. Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2026	J	`jnl`	Graph neural networks for precise bug localization through structural program analysis. Autom. Softw. Eng. Leila Yousofvand, Seyfollah Soleimani, Vahid Rafe, Amin Nikanjam
2026	J	`jnl`	PrismBench: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search. Trans. Mach. Learn. Res. Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2026	J	`jnl`	Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines. CoRR Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel, Foutse Khomh, Amin Nikanjam, Mohammad Hamdaqa
2026	J	`jnl`	Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet Things J. Saeid Jamshidi, Omar Abdul Wahab, Rolando Herrero, Foutse Khomh, Martine Bellaïche, Samira Keivanpour, Negar Shahabi, Amin Nikanjam, Kawser Wazed Nafi
2025	—	`conf`	A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning. SSE Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025	A	`conf`	A Taxonomy of Inefficiencies in LLM-Generated Python Code. ICSME Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review. CoRR Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Rasoul Rasta
2025	J	`jnl`	Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review. Internet Things Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Rasoul Rasta
2025	J	`jnl`	Bugs in large language models generated code: an empirical study. Empir. Softw. Eng. Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2025	J	`jnl`	Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways. CoRR Saeid Jamshidi, Foutse Khomh, Kawser Wazed Nafi, Amin Nikanjam, Samira Keivanpour, Omar Abdel Wahab, Martine Bellaïche
2025	—	`conf`	Deep Reinforcement Learning-Based Intrusion Detection System: Defending Edge Gateways Against Mirai and Gafgyt. FiCloud Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025	J	`jnl`	DeepCodeProbe: Evaluating Code Representation Quality in Models Trained on Code. Empir. Softw. Eng. Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs. CoRR Mina Taraghi, Yann Pequignot, Amin Nikanjam, Mohamed Amine Merzouk, Foutse Khomh
2025	J	`jnl`	Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption. CoRR Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. Comput. Ind. Eng. Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Harnessing pre-trained generalist agents for software engineering tasks. Empir. Softw. Eng. Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things. CoRR Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025	J	`jnl`	Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search. CoRR Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	ReCatcher: Towards LLMs Regression Testing for Code Generation. CoRR Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency. J. Netw. Comput. Appl. Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Samira Keivanpour
2025	J	`jnl`	The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities. Internet Things Saeid Jamshidi, Negar Shahabi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Carol Fung
2025	J	`jnl`	Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. CoRR Saeid Jamshidi, Amin Nikanjam, Negar Shahabi, Kawser Wazed Nafi, Foutse Khomh, Samira Keivanpour, Rolando Herrero
2025	J	`jnl`	Trained without My Consent: Detecting Code Inclusion in Language Models Trained on Code. ACM Trans. Softw. Eng. Methodol. Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025	J	`jnl`	Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning. Int. J. Inf. Sec. Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025	J	`jnl`	Unveiling Inefficiencies in LLM-Generated Code: Toward a Comprehensive Taxonomy. CoRR Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	An Efficient Model Maintenance Approach for MLOps. CoRR Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2024	J	`jnl`	Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. CoRR Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2024	J	`jnl`	Bug characterization in machine learning-based systems. Empir. Softw. Eng. Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang
2024	J	`jnl`	Bugs in Large Language Models Generated Code: An Empirical Study. CoRR Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2024	J	`jnl`	Common challenges of deep reinforcement learning applications development: an empirical study. Empir. Softw. Eng. Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	Continuously Learning Bug Locations. CoRR Paulina Stevia Nouwou Mindom, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	Data cleaning and machine learning: a systematic literature review. Autom. Softw. Eng. Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
2024	J	`jnl`	DeepCodeProbe: Towards Understanding What Models Trained on Code Learn. CoRR Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	Effective test generation using pre-trained Large Language Models and mutation testing. Inf. Softw. Technol. Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
2024	—	`conf`	Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning. ANT/EDI40 Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	Fault Localization in Deep Learning-based Software: A System-level Approach. CoRR Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh
2024	J	`jnl`	Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt 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 N. 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
2024	J	`jnl`	Quality issues in machine learning software systems. Empir. Softw. Eng. Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
2024	J	`jnl`	Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empir. Softw. Eng. Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
2024	A	`conf`	Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. ICSME Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2024	J	`jnl`	Toward Debugging Deep Reinforcement Learning Programs with RLExplorer. CoRR Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2024	J	`jnl`	Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. CoRR Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2023	J	`jnl`	A comparison of reinforcement learning frameworks for software testing tasks. Empir. Softw. Eng. Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2023	J	`jnl`	A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data. Int. J. Mach. Learn. Cybern. Nazanin Shajoonnezhad, Amin Nikanjam
2023	J	`jnl`	Bug Characterization in Machine Learning-based Systems. CoRR Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
2023	J	`jnl`	Bugs in machine learning-based systems: a faultload benchmark. Empir. Softw. Eng. Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang
2023	J	`jnl`	Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study. CoRR Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2023	J	`jnl`	Data Cleaning and Machine Learning: A Systematic Literature Review. CoRR Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
2023	A	`conf`	Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. ICSME Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023	J	`jnl`	Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. CoRR Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023	J	`jnl`	Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation. CoRR Zeynab Chitsazian, Saeed Sedighian Kashi, Amin Nikanjam
2023	J	`jnl`	Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing. CoRR Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
2023	J	`jnl`	GitHub Copilot AI pair programmer: Asset or Liability? J. Syst. Softw. Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang
2023	J	`jnl`	Harnessing Pre-trained Generalist Agents for Software Engineering Tasks. CoRR Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2023	A	`conf`	Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2023	J	`jnl`	Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2023	J	`jnl`	Quality Issues in Machine Learning Software Systems. CoRR Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
2022	J	`jnl`	A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks. CoRR Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2022	A	`conf`	An Empirical Study of Challenges in Converting Deep Learning Models. ICSME Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang
2022	J	`jnl`	An Empirical Study of Challenges in Converting Deep Learning Models. CoRR Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jiang
2022	J	`jnl`	Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Trans. Softw. Eng. Methodol. Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2022	J	`jnl`	Bugs in Machine Learning-based Systems: A Faultload Benchmark. CoRR Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming Jiang
2022	J	`jnl`	Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Autom. Softw. Eng. Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2022	J	`jnl`	GitHub Copilot AI pair programmer: Asset or Liability? CoRR Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming Jiang
2022	J	`jnl`	How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2022	J	`jnl`	Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer. J. Supercomput. Mahnoosh Mahdavimoghadam, Amin Nikanjam, Monireh Abdoos
2022	J	`jnl`	Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms. CoRR Saeed Ghadiri, Amin Nikanjam
2022	J	`jnl`	Quality issues in Machine Learning Software Systems. CoRR Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh
2022	A	`conf`	Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions. ICSME Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal
2021	J	`jnl`	A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data. CoRR Nazanin Shajoonnezhad, Amin Nikanjam
2021	J	`jnl`	Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. CoRR Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2021	A	`conf`	Design Smells in Deep Learning Programs: An Empirical Study. ICSME Amin Nikanjam, Foutse Khomh
2021	J	`jnl`	Design Smells in Deep Learning Programs: An Empirical Study. CoRR Amin Nikanjam, Foutse Khomh
2021	J	`jnl`	Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. CoRR Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2021	J	`jnl`	How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021	J	`jnl`	Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer. CoRR Mahnoosh Mahdavimoghaddam, Amin Nikanjam, Monireh Abdoos
2021	C	`conf`	On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. QRS Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
2021	J	`jnl`	On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. CoRR Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
2021	J	`jnl`	Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. CoRR Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
2021	J	`jnl`	Stability analysis of the particle dynamics in bat algorithm: standard and modified versions. Eng. Comput. Mahsa Fozuni Shirjini, Amin Nikanjam, Mahdi Aliyari Shoorehdeli
2021	C	`conf`	The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs. QRS Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
2021	J	`jnl`	The challenge of reproducible ML: an empirical study on the impact of bugs. CoRR Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
2020	J	`jnl`	Cyrus 2D Simulation Team Description Paper2018. CoRR Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari
2020	J	`jnl`	MDPCluster: a swarm-based community detection algorithm in large-scale graphs. Computing Mahsa Fozuni Shirjini, Saeed Farzi, Amin Nikanjam
2019	J	`jnl`	Using evolutionary algorithms for reachability analysis of complex software systems specified through graph transformation. Reliab. Eng. Syst. Saf. Einollah Pira, Vahid Rafe, Amin Nikanjam
2018	J	`jnl`	Searching for violation of safety and liveness properties using knowledge discovery in complex systems specified through graph transformations. Inf. Softw. Technol. Einollah Pira, Vahid Rafe, Amin Nikanjam
2017	J	`jnl`	Deadlock detection in complex software systems specified through graph transformation using Bayesian optimization algorithm. J. Syst. Softw. Einollah Pira, Vahid Rafe, Amin Nikanjam
2017	J	`jnl`	Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures. Wirel. Pers. Commun. Ali Keramatpour, Amin Nikanjam, Hossein Ghaffarian
2017	—	`conf`	Overlapping community detection in social networks using a quantum-based genetic algorithm. GECCO (Companion) Alireza Saleh Sedghpour, Amin Nikanjam
2016	J	`jnl`	EMCDM: Efficient model checking by data mining for verification of complex software systems specified through architectural styles. Appl. Soft Comput. Einollah Pira, Vahid Rafe, Amin Nikanjam
2016	B	`conf`	Multi-structure problems: Difficult model learning in discrete EDAs. CEC Amin Nikanjam, Hossein Karshenas
2015	J	`jnl`	A hybrid optimization algorithm based on harmony search and differential evolution for continuous domain. J. Intell. Fuzzy Syst. Vahid Rafe, Zahra Paiandeh, Amin Nikanjam
2015	J	`jnl`	A meta-heuristic solution for automated refutation of complex software systems specified through graph transformations. Appl. Soft Comput. Vahid Rafe, Maryam Moradi, Rosa Yousefian, Amin Nikanjam
2014	—	`conf`	Complexity of model learning in EDAs: multi-structure problems. GECCO (Companion) Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi
2012	J	`jnl`	Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm. J. Comput. Sci. Technol. Amin Nikanjam, Adel Rahmani
2011	J	`jnl`	Efficient model building in competent genetic algorithms using DSM clustering. AI Commun. Amin Nikanjam, Hadi Sharifi, Adel Torkaman Rahmani
2011	J	`jnl`	Galoan: a multi-agent approach to herd cows. Ann. Math. Artif. Intell. Vahid Rafe, Amin Nikanjam, Mohammad Rezaei
2011	A	`conf`	Interaction detection for hybrid decomposable problems. GECCO Hadi Sharifi, Amin Nikanjam, Adel Torkaman Rahmani
2010	A	`conf`	A new DSM clustering algorithm for linkage groups identification. GECCO Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani
2010	B	`conf`	Enhancing the efficiency of genetic algorithm by identifying linkage groups using DSM clustering. IEEE Congress on Evolutionary Computation Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Rahmani
2009	—	`conf`	Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm. GEC Summit Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani
2008	—	`conf`	An Evolutionary Approach to Clustering Ensemble. ICNC (3) Mehdi Mohammadi, Amin Nikanjam, Adel Rahmani
2008	—	`conf`	SHABaN Multi-agent Team To Herd Cows. ProMAS Adel Torkaman Rahmani, Alireza Saberi, Mehdi Mohammadi, Amin Nikanjam, Ehsan Adeli-Mosabbeb, Monireh Abdoos
2006	A	`conf`	An anticipatory approach to improve XCSF. GECCO Amin Nikanjam, Adel Torkaman Rahmani