Search Results for author: Hamidreza Alvari

Found 9 papers, 0 papers with code

Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org

no code implementations20 Jun 2020 Soumajyoti Sarkar, Hamidreza Alvari

We find that the influence from economic factors and loan attributes can have substantially different roles to play for different sectors in achieving faster funding.

Causal Inference Fairness +1

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

no code implementations22 Nov 2019 Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu

The attacker seeks to infer users' private-attribute information according to their items list and recommendations.

An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter

no code implementations4 May 2019 Elham Shaabani, Ashkan Sadeghi-Mobarakeh, Hamidreza Alvari, Paulo Shakarian

Pathogenic Social Media (PSM) accounts such as terrorist supporter accounts and fake news writers have the capability of spreading disinformation to viral proportions.

Causal Inference

Early Identification of Pathogenic Social Media Accounts

no code implementations25 Sep 2018 Hamidreza Alvari, Elham Shaabani, Paulo Shakarian

Pathogenic Social Media (PSM) accounts such as terrorist supporters exploit large communities of supporters for conducting attacks on social media.

Causal Inference Community Detection

Causal Inference for Early Detection of Pathogenic Social Media Accounts

no code implementations26 Jun 2018 Hamidreza Alvari, Paulo Shakarian

Pathogenic social media accounts such as terrorist supporters exploit communities of supporters for conducting attacks on social media.

Causal Inference Community Detection +1

Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression

no code implementations25 Dec 2017 Ruocheng Guo, Hamidreza Alvari, Paulo Shakarian

High-order parametric models that include terms for feature interactions are applied to various data mining tasks, where ground truth depends on interactions of features.

Sparse Learning

Semi-Supervised Learning for Detecting Human Trafficking

no code implementations30 May 2017 Hamidreza Alvari, Paulo Shakarian, J. E. Kelly Snyder

Human trafficking is one of the most atrocious crimes and among the challenging problems facing law enforcement which demands attention of global magnitude.

A Non-Parametric Learning Approach to Identify Online Human Trafficking

no code implementations29 Jul 2016 Hamidreza Alvari, Paulo Shakarian, J. E. Kelly Snyder

Human trafficking is among the most challenging law enforcement problems which demands persistent fight against from all over the globe.

MIST: Missing Person Intelligence Synthesis Toolkit

no code implementations28 Jul 2016 Elham Shaabani, Hamidreza Alvari, Paulo Shakarian, J. E. Kelly Snyder

Each day, approximately 500 missing persons cases occur that go unsolved/unresolved in the United States.

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