Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence
(IAAI-22)

Thursday, February 24 – Saturday, February 26

Invited Presentations

The Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22) is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is to showcase successful applications and novel uses of AI. The conference will use technical papers, best practice papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an interchange of ideas between basic and applied AI and the discourse on the actual deployment of AI in practice.

Meinolf Sellmann and Mark Boddy
IAAI-22 Conference Cochairs

IAAI-22 schedule for the conference is available here.

Invited Presentations

Robert S. Engelmore Memorial Award Lecture 
Andrew Ng DeepLearning AI, Landing AI, and Coursera

AI in Practice Panels

February 24, 25, and 26
10:30 – 11:30 AM PT each day
AI in Practice Program
More Information.

 

IAAI-22 Poster Presentation Schedule

Every paper appears in two poster sessions.

February 24

Ecology

  • Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors
    Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav
  • Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
    Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldermariam
  • Latent Space Simulation for Carbon Capture Design Optimization
    Brian Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng
  • Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance
    Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel Newlands, Yulia Gel
  • Facilitating Human-Wildlife Cohabitation through Conflict Prediction
    Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
  • YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management
    Wesley Lin
  • TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning
    Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia Gel

Commerce

  • Intelligent Online Selling Point Extraction for E-commerce Recommendation
    Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
  • Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
    Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec
  • Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
    Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao
  • A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce
    Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi
  • Automatic Product Copywriting for E-commerce
    Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
  • Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
    Porter Jenkins, Hua Wei, J. Stockton Jenkins, Jessie Li

Transportation

  • Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks
    Aleksei Kuvshinov, Daniel Knobloch, Daniel Külzer, Elen Vardanyan, Stephan Günnemann
  • A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions
    Dohee Kim, Hong Gi Shim, Jeong Soo Eo

 

February 25

Healthcare

  • Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning
    Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
  • Micronutrient Deficiency Prediction via Publicly Available Satellite Data
    Elizabeth Bondi, Haipeng Chen, Christopher Golden, Nikhil Behari, Milind Tambe
  • Contribution-Aware Federated Learning for Smart Healthcare
    Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
  • Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites
    Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe
  • Flexible-Window Predictions on Electronic Health Records
    Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
  • Learning to Rank Articles for Molecular Queries
    Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky
  • Using Public Data to Predict Demand for Mobile Health Clinics
    Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy Oriol, Milind Tambe
  • Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images
    Naren Nallapareddy, Soumya Ray

Tools

  • Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining
    Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve
  • AI Explainability 360: Impact and Design
    Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
  • A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application
    Martín Santillán Cooper, Maeda F. Hanafi, Yannis Katsis, Yunyao Li

Finance/Insurance

  • Combating Sampling Bias: A Self-Training Method in Credit Risk Models
    Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han, Kun Lu
  • Identifying Early Warning Signals from News Using Network Community Detection
    Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das
  • AI Driven Accounts Payable Transformation
    Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan

Design

  • Designing a Human-in-the-Loop System for Object Detection in Floor Plans
    Johannes Jakubik, Patrick Hemmer, Michael Voessing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr

 

February 25

Monitoring and Control

  • CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance
    Anoop Karnik Dasika, Praveen Paruchuri
  • Wasserstein Adversarial Transformer for Cloud Workload Prediction
    Shivani Arbat, Vinod K. Jayakumar, Jaewoo Lee, Wei Wang, In K
  • Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
    Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
  • Reinforcement Learning for Datacenter Congestion Control
    Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
  • An Interactive Explanatory AI System for Industrial Quality Control
    Dennis Müller, Michael März, Stephan Scheele, Ute Schmid
  • Predictive Maintenance for General Aviation Using Convolutional Transformers
    Hong Yang, Aidan Labella, Travis Desell
  • AI for Disaster Rapid Damage Assessment from Microblogs
    Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam
  • Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
    Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hoennscheidt, Michael Steffes, Volker Gruhn

NLP and Documents

  • Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding
    Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant Strimel
  • PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions
    Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim
  • Harvest – A System for Creating Structured Rate Filing Data from Filing PDFs
    Ender Tekin, Qian You, Deving Conathan, Glenn Fung, Thomas Kneubuehl
  • DocBed: End-to-End OCR Solution for Documents with Complex Layouts
    Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana

Cybersecurity

  • ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing
    Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu
  • AI-Assisted Controls Change Management for Cybersecurity in the Cloud
    Arun Kumar, Vikas Agarwal, Nisha Gupta, Harshal Tupsamudre, Sneha Mondal

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