The Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-24) 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. The general goal of the conference is to teach people the challenges and solutions to accomplishing something useful in the real world, as opposed to describing a new algorithm.

Tracks with Accepted Papers

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Deployed Highly Innovative Applications of AI​ 

Papers submitted to this track must describe deployed applications with measurable benefits that include an innovative use of AI technology. Applications are defined as deployed once they are in production use by their final end-users and the in-use experience can be meaningfully collected and reported. The study may evaluate either a stand-alone application or a component of a complex system.  

General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants         
Lee, Kyoung Jun; Jeong, Baek; Kim, Suhyeon; Kim, Yaedam; Park, Dongju

Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce   
Liu, Chang; Hou, Peng; Zeng, Anxiang; Yu, Han

The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education  
Rehm, Johannes; Reshodko, Irina; Børresen, Stian Z; Gundersen, Odd Erik

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation
Sun, Hao; Tang, Xiaoli; Yang, Chengyi; Yu, Zhenpeng; Wang, Xiuli; Ding, Qijie; Li, Zengxiang; Yu, Han

High Significant Fault Detection in Azure Core Workload Insights   
Lohia, Pranay; Boue, Laurent; Ranganath, Sharath; Agneeswaran, Vijay S

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment    
Shi, Yuliang; Cheng, Lin; Jiang, Cheng; Zhang, Hui; Li, Guifeng; Tang, Xiaoli; Yu, Han; Shen, Zhiqi; Leung, Cyril

Some Like It Small: Czech Semantic Embedding Models for Industry Applications 
Náplava, Jakub; Bednář, Jiří; Lisický, Ondřej; Barančíková, Petra

Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs        
Bandlamudi, Jayachandu; Mukherjee, Kushal; Agarwal, Prerna; Chaudhuri, Ritwik;  Pimplikar, Rakesh R; Dechu, Sampath; Straley, Alex; Ponniah, Anbumunee; Sindhgatta, Renuka

(Deployed Application) Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals   
Valluru, Siva Likitha; Srivastava, Biplav; Paladi, Sai Teja; Yan, Siwen; Natarajan, Sriraam

DCV2I: A Practical Approach for Supporting Geographers’ Visual Interpretation in Dune Segmentation with Deep Vision Models          
Lu, Anqi; Wu, Zifeng; Jiang, Zheng; Wang, Wei; Hasi, Eerdun; Wang, Yi

KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing      
Lui, Sheng Jie; Xiang, Cheng; Krishnaswamy, Shonali 

Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping           
Akhtar, Zainab; Qazi, Umair; Elsakka, Aya; Sadiq, Rizwan; Ofli, Ferda; Imran, Muhammad

A Submodular Optimization Approach to Accountable Loan Approval       
Lee, Kyungsik; Yoo, Hana; Shin, Sumin; Kim, Wooyoung; Baek, Yeonung; Kang, Hyunjin; Kim, Jaehyun; Kim, Kee-Eung

Emerging Applications of AI 

Emerging applications papers ‘bridge the gap’ between basic AI research and case studies of deployed AI applications, by discussing efforts to apply AI tools, techniques, or methods to real-world problems in novel ways. 

Building Higher-Order Abstractions from the Components of Recommender Systems
Kadioglu, Serdar; Kleynhans, Bernard

A Virtual Driving Instructor that Generates Personalized Driving Lessons Based on Student Skill Level        
Bjørnland, Johan Fredrik; Gedde, Yrjar Bringedal; Rehm, Johannes; Reshodko, Irina; Gundersen, Odd Erik

Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors      
Gullapalli, Bhanu Teja; Carreiro, Stephanie; Chapman, Brittany; Garland, Eric; Rahman, Tauhidur

Tell Me What Is Good About This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization  
Wysoczańska, Monika; Beladev, Moran; Lastmann Assaraf, Karen; Wang, Fengjun; Kleinfeld, Ofri; Amsalem, Gil; Harush Boke, Hadas

A Framework for Mining Speech-To-Text Transcripts of the Customer for Automated Problem Remediation
Mohapatra, Prateeti; Dasgupta, Gargi B

BERTground: A Transformer-based Model of Background Spectra on the ISS-based NICER Space Telescope     
Nhu, Anh N; Zoghbi, Abderahmen

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data
Palaskar, Santosh Nanabhau; Ekambaram, Vijay; Jati, Arindam; Gantayat, neelamadhav ; Saha, Avirup; Nagar, Seema; Nguyen, Nam; Dayama, Pankaj; Sindhgatta, Renuka; Mohapatra, Prateeti; Kumar, Harshit; Kalagnanam, Jayant; Hemachandra, Nandyala; Rangaraj, Narayan

Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows
Agarwal, Prerna; Dave, Harshit; Bandlamudi, Jayachandu; Sindhgatta, Renuka; Mukherjee, Kushal

Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data
Bruns, Glenn; Haidar, Michael A

Interactive Mars Image Content-Based Search with Interpretable Machine Learning
Vasu, Bhavan K; Lu, You; Dunkel, Emily R; Wagstaff, Kiri; Grimes, Kevin M; Mcauley, Michael

Combining Machine Leaning and Queueing Theory for Data-driven Incarceration-Diversion Program Management 
Li, Bingxuan; Castellanos, Antonio; Shi, Pengyi; Ward, Amy

Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms   
Lalan, Arshika; Verma, Shresth; Rodriguez Diaz, Paula; Danassis, Panayiotis; Mahale, Amrita; Madhu Sudan, Kumar; Hegde, Aparna; Tambe, Milind; Taneja, Aparna

ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations   
Choudhury, Muntabir Hasan; Salsabil, Lamia; Ingram, William A; Fox, Edward A; Wu, Jian

Data-Driven Structural Fire Risk Prediction for City Properties
Dey, Rupasree; Fern, Alan

Attention-based Models for Snow-Water Equivalent Prediction       
Thapa, Krishu K; Singh, Bhupinderjeet; Savalkar, Supriya; Fern, Alan; Rajagopalan, Kirti; Kalyanaraman, Ananth

Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages
Müller, Leopold; Hemmer, Patrick; Kühl, Niklas; Queisner, Moritz; Sauer, Igor; Allmendinger, Simeon; Jakubik, Johannes; Vössing, Michael

VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch      
Kaur, Sawinder; Xiao, Yi; Salekin, Asif

CHRONOS: A Schema-Based Event Understanding and Prediction System  
Chang, Maria; Fokoue, Achille; Uceda-Sosa, Rosario; Awasthy, Parul; Barker, Ken; Kumaravel, Sadhana; Hassanzadeh, Oktie; Soares, Elton; Gao, Tian; Bhattacharjya, Debarun; Florian, Radu; Roukos, Salim

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health        
Kumar, Harsh; Li, Tong; Shi, Jiakai; Musabirov, Ilya; Kornfield, Rachel; Meyerhoff, Jonah; Bhattacharjee, Ananya; Karr, Chris; Mohr, David; Rafferty, Anna; Villar, Sofia; Deliu, Nina; Williams, Joseph J

Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization     
Yang, Xi; Arora, Rohan R; Jha, Saurabh; Narayanaswami, Chandra; Lam, Cheuk; Leichter, Jerrold; Deng, Yu; Sow, Daby

TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling     
Lin, ChungYi; Tung, Shen-Lung; Su, Hung-Ting; Hsu, Winston H.

Symbol Description Reading        
Lynch, Karol W; Eck, Bradley; Ploennigs, Joern

Deployed Innovative Tools for Enabling AI Applications 

This track includes papers describing *deployed* tools for improving applied AI innovation and deployment of AI systems.

A Model for Estimating the Economic Costs of Computer Vision Systems that Use Deep Learning  
Thompson, Neil; Fleming, Martin; Tang, Benny J.; Pastwa, Anna M.; Borge, Nicholas; Goehring, Brian C. ; Das, Subhro

End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
Nasim, Md; Zhang, Xinghang; El-Azab, Anter; Xue, Yexiang

Innovative Inter-disciplinary AI Integration 

This track is devoted to the integration of AI components with the focus on how the orchestration of methods from different AI silos requires the adaptation of existing technologies to allow them to work together well for application of AI in practice. 

Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems using Representation Learning  
Alvi, Maira; French, Tim; Keymer, Philip; Cardell-Oliver, Rachel

A Generalizable Theory-driven Agent-based Framework to Study Conflict-induced Forced Migration 
Mehrab, Zakaria; Stundal, Logan; Venkatramanan, Srinivasan; Swarup, Samarth; Lewis, Bryan Leroy; Mortveit, Henning S; Leblang, David; Marathe, Madhav

AI Incidents and Best Practices 

Papers in this track analyze the factors related to AI incidents and the best practices for preventing or mitigating their recurrence. 

AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures
Sherman, Eli; Eisenberg, Ian

When Your AI Is Found Guilty: AI Security Incidents and Best Practices       
Grosse, Kathrin; Bieringer, Lukas; Besold, Tarek R; Biggio, Battista; Alahi, Alexandre

Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database         
Walker, Christina; Schiff, Daniel; Schiff, Kaylyn

AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards
Chadda, Arihant; McGregor, Sean; Hostetler, Jesse; Brennen, Andrea

IAAI-24 Co-Chairs: 

• Alex Wong (University of Waterloo, Canada) 
• YuHao Chen (University of Waterloo, Canada) 
• Jan R. Seyler (Festo, Germany)