AAAI 2022

1,624 papers

DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts

Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana

Predictive Maintenance for General Aviation Using Convolutional Transformers

Hong Yang, Aidan LaBella, Travis Desell

AI-Assisted Controls Change Management for Cybersecurity in the Cloud

Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal

Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding

Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj

Reinforcement Learning for Datacenter Congestion Control

Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov

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

Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav

Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data

Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hönnscheidt, Michael Steffes

Learning to Rank Articles for Molecular Queries

Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky

Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images

Naren Nallapareddy, Soumya Ray

An Interactive Explanatory AI System for Industrial Quality Control

Dennis Müller, Michael März, Stephan Scheele, Ute Schmid

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites

Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan Lewis

Combating Sampling Bias: A Self-Training Method in Credit Risk Models

Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing

Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

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

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 R. Gel

Bayesian Model-Based Offline Reinforcement Learning for Product Allocation

Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li

Designing a Human-in-the-Loop System for Object Detection in Floor Plans

Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos

AI for Disaster Rapid Damage Assessment from Microblogs

Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam

Flexible-Window Predictions on Electronic Health Records

Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti

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

Facilitating Human-Wildlife Cohabitation through Conflict Prediction

Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria

Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data

Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cué La Rosa, Jitendra Singh

A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce

Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi

CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance

Anoop Karnik Dasika, Praveen Paruchuri

TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning

Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel

Using Public Data to Predict Demand for Mobile Health Clinics

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas

Micronutrient Deficiency Prediction via Publicly Available Satellite Data

Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe

Latent Space Simulation for Carbon Capture Design Optimization

Brian Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen

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

Wasserstein Adversarial Transformer for Cloud Workload Prediction

Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim

Automatic Product Copywriting for E-commerce

Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao

Harvest – a System for Creating Structured Rate Filing Data from Filing PDFs

Ender Tekin, Qian You, Devin M. Conathan, Glenn M. Fung, Thomas S. Kneubuehl

AI Driven Accounts Payable Transformation

Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat

Contribution-Aware Federated Learning for Smart Healthcare

Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu

Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce

Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao

Identifying Early Warning Signals from News Using Network Community Detection

Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das

Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset

Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec

Intelligent Online Selling Point Extraction for E-commerce Recommendation

Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen

Anatomizing Bias in Facial Analysis

Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa

Delivering Trustworthy AI through Formal XAI

Joao Marques-Silva, Alexey Ignatiev

Model-Based Diagnosis of Multi-Agent Systems: A Survey

Meir Kalech, Avraham Natan

Target Languages (vs. Inductive Biases) for Learning to Act and Plan

Hector Geffner

Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey

Prajjwal Bhargava, Vincent Ng

Matching Market Design with Constraints

Haris Aziz, Peter Biro, Makoto Yokoo

Consent as a Foundation for Responsible Autonomy

Munindar P. Singh

Market Design for Drone Traffic Management

Sven Seuken, Paul Friedrich, Ludwig Dierks

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities

Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov

Expert-Informed, User-Centric Explanations for Machine Learning

Michael Pazzani, Severine Soltani, Robert Kaufman, Samson Qian, Albert Hsiao

BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers

Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martínez Lorenzo

The Computational Gauntlet of Human-Like Learning

Pat Langley

Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems

Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan

Training on the Test Set: Mapping the System-Problem Space in AI

José Hernández-Orallo, Wout Schellaert, Fernando Martínez-Plumed

Local Justice and the Algorithmic Allocation of Scarce Societal Resources

Sanmay Das

Toward a New Science of Common Sense

Ronald J. Brachman, Hector J. Levesque

Longitudinal Fairness with Censorship

Wenbin Zhang, Jeremy C. Weiss

D-vlog: Multimodal Vlog Dataset for Depression Detection

Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection

Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li

Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework

Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model

Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan

TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion

Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu

Sentence Simplification Capabilities of Transfer-Based Models

Sanja Štajner, Kim Cheng Sheang, Horacio Saggion

Sentiment and Emotion-Aware Multi-Modal Complaint Identification

APOORVA SINGH, Soumyodeep Dey, Anamitra Singha, Sriparna Saha

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features

Muhammad Sarmad, Mishal Fatima, Jawad Tayyub

Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter

Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu

Deep Movement Primitives: Toward Breast Cancer Examination Robot

Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery

Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara

‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube

Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar

LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data

Dilini Rajapaksha, Christoph Bergmeir

Investigations of Performance and Bias in Human-AI Teamwork in Hiring

Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar

Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference

Zeel B Patel, Palak Purohit, Harsh M Patel, Shivam Sahni, Nipun Batra

Learning the Physics of Particle Transport via Transformers

Oscar Pastor-Serrano, Zoltán Perkó

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection

Sungwon Park, Sundong Kim, Meeyoung Cha

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information

Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang

DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset

Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling

Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke

Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings

Sean Matthews, John Hudzina, Dawn Sepehr

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health

Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma

Fair Conformal Predictors for Applications in Medical Imaging

Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer

Optimal Local Explainer Aggregation for Interpretable Prediction

Qiaomei Li, Rachel Cummings, Yonatan Mintz

Transcribing Natural Languages for the Deaf via Neural Editing Programs

DONGXU LI, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang

A Search Engine for Discovery of Scientific Challenges and Directions

Dan Lahav, Jon Saad Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa

COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies

Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon

CrossWalk: Fairness-Enhanced Node Representation Learning

Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller

Unmasking the Mask – Evaluating Social Biases in Masked Language Models

Masahiro Kaneko, Danushka Bollegala

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health

Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa

Gradual (In)Compatibility of Fairness Criteria

Corinna Hertweck, Tim Räz

ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India

Raghu Vamshi Hemadri, Amarjot Singh, Ajeet Singh

Bayesian Optimisation for Active Monitoring of Air Pollution

Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard

FairFoody: Bringing In Fairness in Food Delivery

Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen

Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search

Yunhe Feng, Chirag Shah

A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction

Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu

Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters

Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle

CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking

Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, lingfan cai

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control

Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An