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A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty

Games, 2022-12, Vol.13 (6), p.81

2022

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A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness

Journal of acquired immune deficiency syndromes (1999), 2021-12, Vol.88 (S1), p.S20-S26

2021

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Reports on the 2017 AAAI Spring Symposium Series

The AI magazine, 2017-12, Vol.38 (4), p.99-106

2017

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The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?

Decision and Game Theory for Security, p.3-22

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Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World

Yadav, Amulya

2018

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Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness

Journal of the Society for Social Work and Research, 2018-12, Vol.9 (4), p.551-573

2018

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PSINET: Assisting HIV Prevention Among Homeless Youth by Planning Ahead

The AI magazine, 2016-06, Vol.37 (2), p.47-62

2016

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Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections

Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, p.97-108

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Tackling Sequential Attacks in Security Games

Decision and Game Theory for Security, 2019, Vol.11836, p.331-351

2019

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Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems, 2021, p.790-798

2021

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An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs

Multiagent and grid systems, 2016-01, Vol.11 (4), p.189-226

2016

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CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.577-589

2023

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RoCourseNet: Robust Training of a Prediction Aware Recourse Model

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023, p.619-628

2023

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KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.5895-5896

2023

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Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games

Decision and Game Theory for Security, p.170-191

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Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2022, Vol.36 (11), p.12608-12614

2022

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POMDPs for Assisting Homeless Shelters -- Computational and Deployment Challenges

Autonomous Agents and Multiagent Systems, 2016, Vol.10003, p.67-87

2016

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Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020, Vol.34 (8), p.13294-13299

2020

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Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021, Vol.35 (17), p.14748-14756

2021

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A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2023, Vol.37 (12), p.14620-14627

2023

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Optimizing peer referrals for public awareness using contextual bandits

Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, 2019, p.74-85

2019

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Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.3092-3100

2020

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WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022, p.3514-3523

2022

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A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.3595-3604

2021

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epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023, p.5847-5848

2023

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A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty

A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness

Reports on the 2017 AAAI Spring Symposium Series

The Risk of Attacker Behavioral Learning: Can Attacker Fool Defender Under Uncertainty?

Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World

Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness

PSINET: Assisting HIV Prevention Among Homeless Youth by Planning Ahead

Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections

Tackling Sequential Attacks in Security Games

Let the DOCTOR Decide Whom to Test: Adaptive Testing Strategies to Tackle the COVID-19 Pandemic

An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations

RoCourseNet: Robust Training of a Prediction Aware Recourse Model

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)

Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games

Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors

POMDPs for Assisting Homeless Shelters -- Computational and Deployment Challenges

Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use

A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya

Optimizing peer referrals for public awareness using contextual bandits

Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers

WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records

A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery

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