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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 /

No. 17: IAAI-21, EAAI-21, AAAI-21 Special Programs and Special Track

AAAI Special Track on AI for Social Impact

  • Forecasting Reservoir Inflow via Recurrent Neural ODEs

    Fan Zhou, Liang Li

    15025-15032

    PDF
  • Land Deformation Prediction via Slope-Aware Graph Neural Networks

    Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang

    15033-15040

    PDF
  • Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images

    Kang Liu, Benjamin Tan, Siddharth Garg

    14849-14856

    PDF
  • Mitigating Political Bias in Language Models through Reinforced Calibration

    Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi

    14857-14866

    PDF
  • HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

    Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee

    14867-14875

    PDF
  • Goten: GPU-Outsourcing Trusted Execution of Neural Network Training

    Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo, Donald P. H. Wong, Yongjun Zhao

    14876-14883

    PDF
  • A Universal 2-state n-action Adaptive Management Solver

    Luz Valerie Pascal, Marianne Akian, Sam Nicol, Iadine Chades

    14884-14892

    PDF
  • We Don’t Speak the Same Language: Interpreting Polarization through Machine Translation

    Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom Mitchell

    14893-14901

    PDF
  • RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery

    Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

    14902-14910

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  • Combining Machine Learning & Reasoning for Biodiversity Data Intelligence

    Atriya Sen, Beckett Sterner, Nico Franz, Caleb Powel, Nathan Upham

    14911-14919

    PDF
  • Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest

    Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos

    14920-14929

    PDF
  • Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service

    Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka

    14930-14938

    PDF
  • Evidence Aware Neural Pornographic Text Identification for Child Protection

    Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu

    14939-14947

    PDF
  • Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness

    Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe

    14948-14956

    PDF
  • Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

    Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He

    14957-14965

    PDF
  • Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing

    Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu

    14966-14973

    PDF
  • Dual-Mandate Patrols: Multi-Armed Bandits for Green Security

    Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

    14974-14982

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  • Predicting Forest Fire Using Remote Sensing Data And Machine Learning

    Suwei Yang, Massimo Lupascu, Kuldeep S. Meel

    14983-14990

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  • Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach

    Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang

    14991-14999

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  • Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing

    Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu

    15000-15007

    PDF
  • Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

    Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

    15008-15015

    PDF
  • HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

    Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla Gomes

    15016-15024

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  • Fairness in Influence Maximization through Randomization

    Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert

    14684-14692

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  • Intelligent Recommendations for Citizen Science

    Daniel Ben Zaken, Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier

    14693-14701

    PDF
  • Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility

    Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla Gomes

    14702-14710

    PDF
  • Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing

    Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla Gomes

    14711-14720

    PDF
  • Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data

    Boyo Chen, Buo-Fu Chen, Yun-Nung Chen

    14721-14728

    PDF
  • Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery

    Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs

    14729-14738

    PDF
  • Graph Learning for Inverse Landscape Genetics

    Prathamesh Dharangutte, Christopher Musco

    14739-14747

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

    Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav

    14748-14756

    PDF
  • Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users

    Moussa Doumbouya, Lisa Einstein, Chris Piech

    14757-14765

    PDF
  • Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra

    Zhengcong Fei

    14766-14774

    PDF
  • K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management

    Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades

    14775-14784

    PDF
  • Predicting Flashover Occurrence using Surrogate Temperature Data

    Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A Reneke, Grace Ngai, Hong Va Leong, Thomas Cleary

    14785-14794

    PDF
  • Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization

    Michael Geden, Joshua Andrews

    14795-14803

    PDF
  • Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention

    Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage

    14804-14812

    PDF
  • Project RISE: Recognizing Industrial Smoke Emissions

    Yen-Chia Hsu, Ting-Hao (Kenneth) Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Jessica Pachuta, Randy Sargent, Illah Nourbakhsh

    14813-14821

    PDF
  • Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches

    Barak Itkin, Lior Wolf, Nachum Dershowitz

    14822-14830

    PDF
  • Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone

    Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

    14831-14839

    PDF
  • Court Opinion Generation from Case Fact Description with Legal Basis

    Quanzhi Li, Qiong Zhang

    14840-14848

    PDF

Senior Member Presentation: Blue Sky Papers

  • Thinking Fast and Slow in AI

    Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andreas Loreggia, Keerthiram Murgesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

    15042-15046

    PDF
  • Towards a Unifying Framework for Formal Theories of Novelty

    Terrance Boult, Przemyslaw Grabowicz, Derek Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen M. Jafarzadeh, Toqueer Ahmad, Akshay Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Scheirer Walter

    15047-15052

    PDF
  • Improving Causal Inference by Increasing Model Expressiveness

    David D. Jensen

    15053-15057

    PDF
  • Lifelong and Continual Learning Dialogue Systems: Learning during Conversation

    Bing Liu, Sahisnu Mazumder

    15058-15063

    PDF
  • Unifying Principles and Metrics for Safe and Assistive AI

    Siddharth Srivastava

    15064-15068

    PDF

Senior Member Presentation: Summary Papers

  • Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory

    Jörg Rothe

    15070-15077

    PDF
  • Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues

    Rui Yan, Wei Wu

    15078-15086

    PDF

IAAI Technical Track on Highly Innovative Applications of AI

  • An Automated Engineering Assistant: Learning Parsers for Technical Drawings

    Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert

    15195-15203

    PDF
  • Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances

    Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, Lukas Mandrake

    15204-15213

    PDF
  • Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank

    Anxiang Zeng, Han Yu, Hualin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao

    15214-15222

    PDF
  • Preclinical Stage Alzheimer’s Disease Detection Using Magnetic Resonance Image Scans

    Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin

    15088-15097

    PDF
  • An End-to-End Solution for Named Entity Recognition in eCommerce Search

    Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed

    15098-15106

    PDF
  • Automated Reasoning and Learning for Automated Payroll Management

    Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies

    15107-15116

    PDF
  • Comparison Lift: Bandit-based Experimentation System for Online Advertising

    Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan

    15117-15126

    PDF
  • Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans

    Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado

    15127-15136

    PDF
  • Robust PDF Document Conversion using Recurrent Neural Networks

    Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter Staar

    15137-15145

    PDF
  • Author Homepage Discovery in CiteSeerX

    Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles

    15146-15155

    PDF
  • EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease

    Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham, Lillian R. Aoki, Phoebe D. Dawkins, Drew Harvell, Carla Gomes

    15156-15165

    PDF
  • Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization

    Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

    15166-15174

    PDF
  • Using Unsupervised Learning for Data-driven Procurement Demand Aggregation

    Eran Shaham, Adam Westerski, Rajaraman Kanagasabai, Amudha Narayanan, Samuel Ong, Jiayu Wong, Manjeet Singh

    15175-15184

    PDF
  • Tool for Automated Tax Coding of Invoices

    Tarun Tater, Sampath Dechu, Neelamadhav Gantayat, Meena Guptha, Sivakumar Narayanan

    15185-15194

    PDF

IAAI Technical Track on Emerging Applications of AI

  • Reinforcement Learning-based Product Delivery Frequency Control

    Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

    15355-15361

    PDF
  • SKATE: A Natural Language Interface for Encoding Structured Knowledge

    Clifton McFate, Aditya Kalyanpur, Dave Ferrucci, Andrea Bradshaw, Ariel Diertani, David Melville, Lori Moon

    15362-15369

    PDF
  • Predicting Mining Industry Accidents with a Multitask Learning Approach

    Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi

    15370-15376

    PDF
  • Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks

    Sunandita Patra, Alex Velazquez, Myong Kang, Dana Nau

    15377-15384

    PDF
  • A Reciprocal Embedding Framework For Modelling Mutual Preferences

    R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani, Yuhei Yamaguchi, Junichi Tanaka, Yuta Iizuka, Sucheendra K. Palaniappan

    15385-15392

    PDF
  • DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting

    Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash

    15393-15400

    PDF
  • Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers’ Conversations in Hybrid Cloud Operations

    Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra, Amar Prakash Azad

    15401-15407

    PDF
  • Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning

    Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme

    15408-15415

    PDF
  • Device Fabrication Knowledge Extraction from Materials Science Literature

    Neelanshi Wadhwa, Sarath S, Sapan Shah, Sreedhar Reddy, Pritwish Mitra, Deepak Jain, Beena Rai

    15416-15423

    PDF
  • Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19

    Dongdong Wang, Shunpu Zhang, Liqiang Wang

    15424-15430

    PDF
  • A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots

    Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu H. Lee

    15224-15231

    PDF
  • Finding Needles in Heterogeneous Haystacks

    Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian

    15232-15239

    PDF
  • Path to Automating Ocean Health Monitoring

    Mak Ahmad, J. Scott Penberthy, Abigail Powell

    15240-15246

    PDF
  • Ontology-Enriched Query Answering on Relational Databases

    Shqiponja Ahmetaj, Vasilis Efthymiou, Ronald Fagin, Phokion G. Kolaitis, Chuan Lei, Fatma Özcan, Lucian Popa

    15247-15254

    PDF
  • Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

    Rajdeep H Banerjee, Abhinav Ravi, Ujjal Kr Dutta

    15255-15261

    PDF
  • Topological Machine Learning Methods for Power System Responses to Contingencies

    Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel

    15262-15269

    PDF
  • Data-Driven Multimodal Patrol Planning for Anti-poaching

    Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang

    15270-15277

    PDF
  • Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning

    Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel

    15278-15285

    PDF
  • Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change

    Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic

    15286-15292

    PDF
  • Shape-based Feature Engineering for Solar Flare Prediction

    Varad Deshmukh, Thomas Berger, James Meiss, Elizabeth Bradley

    15293-15300

    PDF
  • JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase

    Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krihshna Konakanchi

    15301-15308

    PDF
  • Where there’s Smoke, there’s Fire: Wildfire Risk Predictive Modeling via Historical Climate Data

    Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan Lavista Ferres

    15309-15315

    PDF
  • Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction

    Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot

    15316-15322

    PDF
  • Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems

    Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyuturk, Roger H. French

    15323-15330

    PDF
  • VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving

    Chandan Kumar, Jayanth Ramesh, Bodhisattwa Chakraborty, Renjith Raman, Christoph Weinrich, Anurag Mundhada, Arjun Jain, Fabian B. Flohr

    15331-15338

    PDF
  • Personalizing Individual Comfort in the Group Setting

    Emil Laftchiev, Diego Romeres, Daniel Nikovski

    15339-15346

    PDF
  • Twitter Event Summarization by Exploiting Semantic Terms and Graph Network

    Quanzhi Li, Qiong Zhang

    15347-15354

    PDF

IAAI Technical Track on Innovative Tools for Enabling AI Application

  • HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

    Yifan Ding, Nicholas Botzer, Tim Weninger

    15432-15438

    PDF
  • Representing the Unification of Text Featurization using a Context-Free Grammar

    Doruk Kilitcioglu, Serdar Kadioglu

    15439-15445

    PDF

IAAI Technical Track on AI Best Practices, Challenge Problems, Training AI Users

  • Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model

    Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn

    15447-15451

    PDF
  • Empirical Best Practices On Using Product-Specific Schema.org

    Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec

    15452-15457

    PDF
  • Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

    Sean McGregor

    15458-15463

    PDF

EAAI Symposium: Full Papers

  • GANs Unplugged

    Patrick Virtue

    15664-15668

    PDF
  • Educational Question Mining At Scale: Prediction, Analysis and Personalization

    Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang

    15669-15677

    PDF
  • Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum

    Randi Williams, Stephen P. Kaputsos, Cynthia Breazeal

    15678-15686

    PDF
  • Web-based Platform for K-12 AI Education in China

    Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu

    15687-15694

    PDF
  • Applied Machine Learning for Games: A Graduate School Course

    Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda

    15695-15703

    PDF
  • Estimating Card Fitness for Discard in Gin Rummy

    Jacob Gallucci, Richard Bowser, Sarah Kettell, Christian Overton

    15503-15509

    PDF
  • Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance

    Phoebe Goldman, Corey R. Knutson, Ryan Mahtab, Jack Maloney, Joseph B. Mueller, Richard G. Freedman

    15510-15517

    PDF
  • Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot

    Benjamin Goldstein, Jean-Pierre Astudillo Guerra, Emily Haigh, Bryan Cruz Ulloa, Jeremy Blum

    15518-15525

    PDF
  • Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts

    Eric Greenwald, Maxyn Leitner, Ning Wang

    15526-15533

    PDF
  • Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems

    Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire, Jackie C. K. Cheung

    15534-15544

    PDF
  • Random Forests for Opponent Hand Estimation in Gin Rummy

    Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy

    15545-15550

    PDF
  • PoseBlocks: A Toolkit for Creating (and Dancing) with AI

    Brian Jordan, Nisha Devasia, Jenna Hong, Randi Williams, Cynthia Breazeal

    15551-15559

    PDF
  • Student Knowledge Prediction for Teacher-Student Interaction

    Seonghun Kim, Woojin Kim, Yeonju Jang, Seongyune Choi, Heeseok Jung, Hyeoncheol Kim

    15560-15568

    PDF
  • Why and What to Teach: AI Curriculum for Elementary School

    Seonghun Kim, Yeonju Jang, Woojin Kim, Seongyune Choi, Heeseok Jung, Soohwan Kim, Hyeoncheol Kim

    15569-15576

    PDF
  • Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent

    Sarah Larkin, William Collicott, Jason Hiebel

    15577-15582

    PDF
  • The Contour to Classification Game

    Irene Lee, Safinah Ali

    15583-15590

    PDF
  • AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach

    Seung Lee, Bradford Mott, Anne Ottenbreit-Leftwich, Adam Scribner, Sandra Taylor, Kyungjin Park, Jonathan Rowe, Krista Glazewski, Cindy E. Hmelo-Silver, James Lester

    15591-15599

    PDF
  • Knocking in the Game of Gin Rummy

    Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller

    15600-15606

    PDF
  • Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies

    Bhaskar Mishra, Ashish Aggarwal

    15607-15613

    PDF
  • A Highly-Parameterized Ensemble to Play Gin Rummy

    Masayuki Nagai, Kavya Shrivastava, Kien Ta, Steven Bogaerts, Chad Byers

    15614-15621

    PDF
  • A Deterministic Neural Network Approach to Playing Gin Rummy

    Viet Dung Nguyen, Dung Doan, Todd W. Neller

    15622-15629

    PDF
  • Introduction to Machine Learning with Robots and Playful Learning

    Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide

    15630-15639

    PDF
  • Designing a Hybrid AI Residency

    Felipe Leno Da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cobe

    15640-15646

    PDF
  • A Data-Driven Approach for Gin Rummy Hand Evaluation

    Sang T. Truong, Todd W. Neller

    15647-15654

    PDF
  • Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools

    Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk

    15655-15663

    PDF
  • A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy

    Aqib Ahmed, Joshua Leppo, Michal Lesniewski, Riken Patel, Jonathan Perez, Jeremy Blum

    15465-15471

    PDF
  • What are GANs?: Introducing Generative Adversarial Networks to Middle School Students

    Safinah Ali, Daniella DiPaola, Cynthia Breazeal

    15472-15479

    PDF
  • Visualizing NLP in Undergraduate Students’ Learning about Natural Language

    Cecilia O. Alm, Alex Hedges

    15480-15488

    PDF
  • Heisenbot: A Rule-Based Game Agent for Gin Rummy

    Matthew Eicholtz, Savanna Moss, Matthew Traino, Christian Roberson

    15489-15495

    PDF
  • Opponent Hand Estimation in the Game of Gin Rummy

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