Kavosh: An Intelligent Neuro-Fuzzy Search Engine. - Amin Milani Fard; Reza Ghaemi; Mohammad R. Akbarzadeh-Totonchi; Hoda Akbari (ISDA, 2007)

Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent. - Amin Milani Fard; Vahid Salmani; Mahmoud Naghibzadeh; Sedigheh Khajouei-Nejad; Hamed Ahmadi (ISTA, 2007)

Cooperative criminal face recognition in distributed web environment. - Hamid Tabatabaee Yazdi; Amin Milani Fard; Mohammad R. Akbarzadeh-Totonchi (AICCSA, 2008)

Competitive-Cooperative Automated Reasoning from Distributed and Multiple Source of Data. - Amin Milani Fard (Data Mining and Multi-agent Integration, 2009)

Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. - Amin Milani Fard; Martin Ester (CSE (4), 2009)

High Dimensional Problem Optimization Using Distributed Multi-agent PSO. - Jalal A. Nasiri; Amin Milani Fard; Mahmoud Naghibzadeh; Modjtaba Rouhani (EMS, 2009)

An Effective Clustering Approach to Web Query Log Anonymization. - Amin Milani Fard; Ke Wang 001 (SECRYPT, 2010)

Limiting link disclosure in social network analysis through subgraph-wise perturbation. - Amin Milani Fard; Ke Wang 001; Philip S. Yu (EDBT, 2012)

Privacy Preserving Web Query Log Publishing: A Survey on Anonymization Techniques - Amin Milani Fard (CoRR, 2012)

Feedback-directed exploration of web applications to derive test models. - Amin Milani Fard; Ali Mesbah 001 (ISSRE, 2013)

JSNOSE: Detecting JavaScript Code Smells. - Amin Milani Fard; Ali Mesbah 001 (SCAM, 2013)

Leveraging existing tests in automated test generation for web applications. - Amin Milani Fard; Mehdi MirzaAghaei; Ali Mesbah 001 (ASE, 2014)

An empirical study of bugs in test code. - Arash Vahabzadeh; Amin Milani Fard; Ali Mesbah 001 (ICSME, 2015)

Generating Fixtures for JavaScript Unit Testing (T). - Amin Milani Fard; Ali Mesbah 001; Eric Wohlstadter (ASE, 2015)

Neighborhood randomization for link privacy in social network analysis. - Amin Milani Fard; Ke Wang 001 (World Wide Web, 2015)

JavaScript: The (Un)Covered Parts. - Amin Milani Fard; Ali Mesbah 001 (ICST, 2017)

Relationship Prediction in Dynamic Heterogeneous Information Networks. - Amin Milani Fard; Ebrahim Bagheri; Ke Wang 001 (ECIR (1), 2019)

SIMBA: An Efficient Simulator for Blockchain Applications. - Seyed Mehdi Fattahi; Adetokunbo Makanju; Amin Milani Fard (DSN (Supplements), 2020)

Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. - Paul Ralph; Sebastian Baltes; Gianisa Adisaputri; Richard Torkar; Vladimir Kovalenko; Marcos Kalinowski; Nicole Novielli; Shin Yoo; Xavier Devroey; Xin Tan 003; Minghui Zhou 001; Burak Turhan; et al. (CoRR, 2020)

Pandemic programming. - Paul Ralph; Sebastian Baltes; Gianisa Adisaputri; Richard Torkar; Vladimir Kovalenko; Marcos Kalinowski; Nicole Novielli; Shin Yoo; Xavier Devroey; Xin Tan 003; Minghui Zhou 001; Burak Turhan; et al. (Empir. Softw. Eng., 2020)

Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis. - Zohreh Alamatian; Majid Vafaei Jahan; Amin Milani Fard (Canadian AI, 2021)

Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction. - Saeede Anbaee Farimani; Majid Vafaei Jahan; Amin Milani Fard; Gholamreza Haffari (DSAA, 2021)

Vulnerability Analysis of Similar Code. - Azin Piran; Che-Pin Chang; Amin Milani Fard (QRS, 2021)

From Text Representation to Financial Market Prediction: A Literature Review. - Saeede Anbaee Farimani; Majid Vafaei Jahan; Amin Milani Fard (Inf., 2022)

Investigating the informativeness of technical indicators and news sentiment in financial market price prediction. - Saeede Anbaee Farimani; Majid Vafaei Jahan; Amin Milani Fard; Seyed Reza Kamel Tabbakh (Knowl. Based Syst., 2022)

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support. - Haozhe Zhou; Amin Milani Fard; Adetokunbo Makanju (J. Cybersecur. Priv., 2022)

Hybrid Machine Learning-Based Approaches for Feature and Overfitting Reduction to Model Intrusion Patterns. - Fatemeh Ahmadi Abkenari; Amin Milani Fard; Sara Khanchi (J. Cybersecur. Priv., 2023)

An Adaptive Multimodal Learning Model for Financial Market Price Prediction. - Saeede Anbaee Farimani; Majid Vafaei Jahan; Amin Milani Fard (IEEE Access, 2024)

Characterizing JavaScript Security Code Smells. - Vikas Kambhampati; Nehaz Hussain Mohammed; Amin Milani Fard (CoRR, 2024)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting. - Arash Peik; Mohammad Ali Zare Chahooki; Amin Milani Fard; Mehdi Agha Sarram (CoRR, 2024)

Financial Market Prediction using Contrastive Learning-based News Representation and Multi-Resolution Market Data. - Saeede Anbaee Farimani; Majid Vafaei Jahan; Pouya Soltani; Amin Milani Fard (Canadian AI, 2025)

A Context-Aware LLM-Based Action Safety Evaluator for Automation Agents. - Chia-Hao Lin; Amin Milani Fard (Canadian AI, 2025)

Enhancing Cryptocurrency Price Prediction by Applying Temporal Fusion Transformers on Subseries. - Arash Peik; Mohammad Ali Zare Chahooki; Amin Milani Fard; Mehdi Agha Sarram (Canadian AI, 2025)

Browser Fingerprint Detection and Anti-Tracking. - Kaitong Lin; Huazhu Cao; Amin Milani Fard (CoRR, 2025)