AAAI 2023

2,023 papers

Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction

Narges Norouzi, Amir Mazaheri

Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling

Roger Nkambou, Janie Brisson, Ange Tato, Serge Robert

A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level

Iddo Drori, Sarah Zhang, Zad Chin, Reece Shuttleworth, Albert Lu

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives

Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education

Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Vignoud, Mirko Marras

Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?

Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes

Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions

Anastasia Zhdanovskaya, Daria Baidakova, Dmitry Ustalov

Responsible Robotics: A Socio-Ethical Addition to Robotics Courses

Joshua Vekhter, Joydeep Biswas

FOLL-E: Teaching First Order Logic to Children

Simon Vandevelde, Joost Vennekens

Learning Affects Trust: Design Recommendations and Concepts for Teaching Children—and Nearly Anyone—about Conversational Agents

Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher, Nghi Hoang Nguyen

AI Made by Youth: A Conversational AI Curriculum for Middle School Summer Camps

Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar

Autonomous Agents: An Advanced Course on AI Integration and Deployment

Stephanie Rosenthal, Reid Simmons

An Analysis of Engineering Students’ Responses to an AI Ethics Scenario

Alexi Orchard, David Radke

Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course

Skylar Kolisko, Carolyn Jane Anderson

Maestro: A Gamified Platform for Teaching AI Robustness

Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh

Shared Tasks as Tutorials: A Methodical Approach

Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko

AI and Parallelism in CS1: Experiences and Analysis

Steven Bogaerts

A Study of Students’ Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools

Joshua Archer, Rory Eckel, Joshua Hawkins, Jianlan Wang, Darrel Musslewhite

Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms

Ferdian Jovan, Sara Bernardini

PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images

Chen Du, Yiwei Wang, Zhicheng Yang, Hang Zhou, Mei Han

DetAIL: A Tool to Automatically Detect and Analyze Drift in Language

Nishtha Madaan, Adithya Manjunatha, Hrithik Nambiar, Aviral Goel, Harivansh Kumar

Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency

Brian Hu, Paul Tunison, Brandon RichardWebster, Anthony Hoogs

OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World

Luzhan Yuan, Wei Wang, Gaowei Zhang, Yi Wang

End-to-End Pipeline for Trigger Detection on Hit and Track Graphs

Tingting Xuan, Yimin Zhu, Giorgian Borca-Tasciuc, Ming Xiong Liu, Yu Sun

High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments

Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong

Fault Injection Based Interventional Causal Learning for Distributed Applications

Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn

Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation

Dirk van Bokkem, Max van den Hemel, Sebastijan Dumancic, Neil Yorke-Smith

Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care

Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-velez

Grape Cold Hardiness Prediction via Multi-Task Learning

Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller

AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos

Deborah Mateja, Rebecca Armbruster, Jonathan Baumert, Tim Bleil, Jakob Langenbahn

Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

Julian Lee, Kamal Viswanath, Alisha Sharma, Jason Geder, Marius Pruessner

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning

Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob

Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning

Joonyoung Kim, Kangwook Lee, Haebin Shin, Hurnjoo Lee, Sechun Kang

Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning

Maya Kapoor, Michael Napolitano, Jonathan Quance, Thomas Moyer, Siddharth Krishnan

Vessel-to-Vessel Motion Compensation with Reinforcement Learning

Sverre Herland, Kerstin Bach

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang

SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence

Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong

Compressing Cross-Lingual Multi-Task Models at Qualtrics

Daniel Campos, Daniel Perry, Samir Joshi, Yashmeet Gambhir, Wei Du

Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks

Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Sampath Dechu, Siyu Huo

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts

Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw Porebski

Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach

Jadie Adams, Steven Lu, Krzysztof M. Gorski, Graca Rocha, Kiri L. Wagstaff

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms

Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes

Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian

MuMIC – Multimodal Embedding for Multi-Label Image Classification with Tempered Sigmoid

Fengjun Wang, Sarai Mizrachi, Moran Beladev, Guy Nadav, Gil Amsalem

Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care

Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla

THMA: Tencent HD Map AI System for Creating HD Map Annotations

Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li

Industry-Scale Orchestrated Federated Learning for Drug Discovery

Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway

An Explainable Forecasting System for Humanitarian Needs Assessment

Rahul Nair, Bo Madsen, Alexander Kjærum

Dynamic Pricing with Volume Discounts in Online Settings

Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli

Real-Time Detection of Robotic Traffic in Online Advertising

Anand Muralidhar, Sharad Chitlangia, Rajat Agarwal, Muneeb Ahmed

A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors

Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri

Trustworthy Residual Vehicle Value Prediction for Auto Finance

Mihye Kim, Jimyung Choi, Jaehyun Kim, Wooyoung Kim, Yeonung Baek

NewsPanda: Media Monitoring for Timely Conservation Action

Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan

Developing the Wheel Image Similarity Application with Deep Metric Learning: Hyundai Motor Company Case

Kyung Pyo Kang, Ga Hyeon Jeong, Jeong Hoon Eom, Soon Beom Kwon, Jae Hong Park

A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses

Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification

Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout

Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu

Blending Advertising with Organic Content in E-commerce via Virtual Bids

Carlos Carrion, Zenan Wang, Harikesh Nair, Xianghong Luo, Yulin Lei

Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing

Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel

Building Compositional Robot Autonomy with Modularity and Abstraction

Yuke Zhu

A New Challenge in Policy Evaluation

Shangtong Zhang

Information Transfer in Multitask Learning, Data Augmentation, and Beyond

Hongyang R. Zhang

Towards Societal Impact of AI

Chuxu Zhang

The Analysis of Deep Neural Networks by Information Theory: From Explainability to Generalization

Shujian Yu

Enhance Robustness of Machine Learning with Improved Efficiency

Yan Yan

Learning to See the Physical World

Jiajun Wu

AI for Equitable, Data-Driven Decisions in Public Health

Bryan Wilder

Artificial Intelligence at the Service of Society to Analyse Human Arguments

Serena Villata

Reshaping State-Space Search: From Dominance to Contrastive Analysis

Álvaro Torralba

Towards Unified, Explainable, and Robust Multisensory Perception

Yapeng Tian

Human-Aware AI – A Foundational Framework for Human-AI Interaction

Sarath Sreedharan

Combating Disinformation on Social Media and Its Challenges: A Computational Perspective

Kai Shu

Dynamics of Cooperation and Conflict in Multiagent Systems

Fernando P. Santos

Planning and Learning for Reliable Autonomy in the Open World

Sandhya Saisubramanian

Internal Robust Representations for Domain Generalization

Mohammad Rostami

Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications

Andrew Perrault

Towards Safe and Resilient Autonomy in Multi-Robot Systems

Wenhao Luo

Combining Runtime Monitoring and Machine Learning with Human Feedback

Anna Lukina

AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI

Sijia Liu

Robust and Adaptive Deep Learning via Bayesian Principles

Yingzhen Li

Intelligent Planning for Large-Scale Multi-Robot Coordination

Jiaoyang Li

Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation

Srijan Kumar

Recent Developments in Data-Driven Algorithms for Discrete Optimization

Elias B. Khalil

Better Environments for Better AI

Sarah Keren

Food Information Engineering: A Systematic Literature Review

Azanzi Jiomekong

Generative Decision Making Under Uncertainty

Aditya Grover

Accountability Layers: Explaining Complex System Failures by Parts

Leilani H. Gilpin

Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe

Manas Gaur

Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory

Hongchang Gao

Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions

Yali Du

Perception for General-purpose Robot Manipulation

Karthik Desingh

The Automatic Computer Scientist

Andrew Cropper

Probabilistic Reasoning and Learning for Trustworthy AI

YooJung Choi

Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach

Ali Baheri

Can We Trust Fair-AI?

Salvatore Ruggieri, Jose M. Alvarez, Andrea Pugnana, Laura State, Franco Turini

Holistic Adversarial Robustness of Deep Learning Models

Pin-Yu Chen, Sijia Liu

The Many Faces of Adversarial Machine Learning

Yevgeniy Vorobeychik

Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research

Sarit Kraus, Yaniv Oshrat, Yonatan Aumann, Tal Hollander, Oleg Maksimov

QA Is the New KR: Question-Answer Pairs as Knowledge Bases

William W. Cohen, Wenhu Chen, Michiel De Jong, Nitish Gupta, Alessandro Presta

Foundation Model for Material Science

Seiji Takeda, Akihiro Kishimoto, Lisa Hamada, Daiju Nakano, John R. Smith