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ORCIDAmin Milani Fard
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- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2024
[j7]Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard
:
An Adaptive Multimodal Learning Model for Financial Market Price Prediction. IEEE Access 12: 121846-121863 (2024)- 2023
- [j6]Fatemeh Ahmadi Abkenari, Amin Milani Fard, Sara Khanchi:
Hybrid Machine Learning-Based Approaches for Feature and Overfitting Reduction to Model Intrusion Patterns. J. Cybersecur. Priv. 3(3): 544-557 (2023) - 2022
- [j5]Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard:
From Text Representation to Financial Market Prediction: A Literature Review. Inf. 13(10): 466 (2022) - [j4]Haozhe Zhou, Amin Milani Fard, Adetokunbo Makanju:
The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support. J. Cybersecur. Priv. 2(2): 358-378 (2022) - [j3]Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Seyed Reza Kamel Tabbakh:
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction. Knowl. Based Syst. 247: 108742 (2022) - 2021
- [c18]Zohreh Alamatian, Majid Vafaei Jahan, Amin Milani Fard:
Using Market Indicators to Eliminate Local Trends for Financial Time Series Cross-Correlation Analysis. Canadian AI 2021 - [c17]Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Gholamreza Haffari:
Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction. DSAA 2021: 1-10 - [c16]Azin Piran, Che-Pin Chang, Amin Milani Fard:
Vulnerability Analysis of Similar Code. QRS 2021: 664-671 - 2020
- [j2]Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi:
Pandemic programming. Empir. Softw. Eng. 25(6): 4927-4961 (2020) - [c15]Seyed Mehdi Fattahi, Adetokunbo Makanju, Amin Milani Fard:
SIMBA: An Efficient Simulator for Blockchain Applications. DSN (Supplements) 2020: 51-52 - [i3]Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi:
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. CoRR abs/2005.01127 (2020)
2010 – 2019
- 2019
- [c14]Amin Milani Fard, Ebrahim Bagheri, Ke Wang:
Relationship Prediction in Dynamic Heterogeneous Information Networks. ECIR (1) 2019: 19-34 - 2017
- [c13]Amin Milani Fard, Ali Mesbah:
JavaScript: The (Un)Covered Parts. ICST 2017: 230-240 - 2015
- [j1]Amin Milani Fard, Ke Wang:
Neighborhood randomization for link privacy in social network analysis. World Wide Web 18(1): 9-32 (2015) - [c12]Arash Vahabzadeh, Amin Milani Fard, Ali Mesbah:
An empirical study of bugs in test code. ICSME 2015: 101-110 - [c11]Amin Milani Fard, Ali Mesbah, Eric Wohlstadter:
Generating Fixtures for JavaScript Unit Testing (T). ASE 2015: 190-200 - 2014
- [c10]Amin Milani Fard, Mehdi MirzaAghaei, Ali Mesbah:
Leveraging existing tests in automated test generation for web applications. ASE 2014: 67-78 - 2013
- [c9]Amin Milani Fard, Ali Mesbah:
Feedback-directed exploration of web applications to derive test models. ISSRE 2013: 278-287 - [c8]Amin Milani Fard, Ali Mesbah:
JSNOSE: Detecting JavaScript Code Smells. SCAM 2013: 116-125 - 2012
- [c7]Amin Milani Fard, Ke Wang, Philip S. Yu:
Limiting link disclosure in social network analysis through subgraph-wise perturbation. EDBT 2012: 109-119 - [i2]Amin Milani Fard:
Privacy Preserving Web Query Log Publishing: A Survey on Anonymization Techniques. CoRR abs/1211.2354 (2012) - 2010
- [c6]Amin Milani Fard, Ke Wang:
An Effective Clustering Approach to Web Query Log Anonymization. SECRYPT 2010: 109-119 - [i1]Amin Milani Fard, Ke Wang:
An Effective Clustering Approach to Web Query Log Anonymization. CoRR abs/1012.0663 (2010)
2000 – 2009
- 2009
- [c5]Amin Milani Fard, Martin Ester:
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. CSE (4) 2009: 582-587 - [c4]Jalal A. Nasiri, Amin Milani Fard, Mahmoud Naghibzadeh, Modjtaba Rouhani:
High Dimensional Problem Optimization Using Distributed Multi-agent PSO. EMS 2009: 245-250 - [p1]Amin Milani Fard:
Competitive-Cooperative Automated Reasoning from Distributed and Multiple Source of Data. Data Mining and Multi-agent Integration 2009: 279-290 - 2008
- [c3]Hamid Tabatabaee Yazdi, Amin Milani Fard, Mohammad R. Akbarzadeh-Totonchi:
Cooperative criminal face recognition in distributed web environment. AICCSA 2008: 524-529 - 2007
- [c2]Amin Milani Fard, Reza Ghaemi, Mohammad R. Akbarzadeh-Totonchi, Hoda Akbari:
Kavosh: An Intelligent Neuro-Fuzzy Search Engine. ISDA 2007: 597-602 - [c1]Amin Milani Fard, Vahid Salmani, Mahmoud Naghibzadeh, Sedigheh Khajouei Nejad, Hamed Ahmadi:
Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent. ISTA 2007: 54-65
Coauthor Index
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last updated on 2024-11-14 21:59 CET by the dblp team
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