AAAI 2019

1,341 papers

Expressive Real-Time Intersection Scheduling

Rick Goldstein

Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks

Christopher K. Fourie

Multi-Agent Coordination under Uncertain Communication

Nikhil Bhargava

A Theory of State Abstraction for Reinforcement Learning

David Abel

K3S: Knowledge-Driven Solution Support System

Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang

Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search

Daniel Rotman, Dror Porat, Yevgeny Burshtein, Udi Barzelay

DBA: Dynamic Multi-Armed Bandit Algorithm

Sadegh Nobari

Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors

Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti

Realtime Generation of Audible Textures Inspired by a Video Stream

Simone Mellace, Jérôme Guzzi, Alessandro Giusti, Luca M. Gambardella

Global Remote Operation of Intelligent Space Robot Assistants

Daniel Leidner, Peter Schmaus, Florian Schmidt, Benedikt Pleintinger, Ralph Bayer

QADiver: Interactive Framework for Diagnosing QA Models

Gyeongbok Lee, Sungdong Kim, Seung-won Hwang

Scientific Article Search System Based on Discourse Facet Representation

Yuta Kobayashi, Hiroyuki Shindo, Yuji Matsumoto

A General Planning-Based Framework for Goal-Driven Conversation Assistant

Zhuoxuan Jiang, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu

Academic Reader: An Interactive Question Answering System on Academic Literatures

Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang

FRIDAYS: A Financial Risk Information Detecting and Analyzing System

Chi-Han Du, Yi-Shyuan Chiang, Kun-Che Tsai, Liang-Chih Liu, Ming-Feng Tsai

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad

MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents

Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras

Proppy: A System to Unmask Propaganda in Online News

Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

The Rensselaer Mandarin Project — A Cognitive and Immersive Language Learning Environment

David Allen, Rahul R. Divekar, Jaimie Drozdal, Lilit Balagyozyan, Shuyue Zheng

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions

Victor S. Sheng, Jing Zhang

Borda Count in Collective Decision Making: A Summary of Recent Results

Jörg Rothe

Is Everything Going According to Plan? Expectations in Goal Reasoning Agents

Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder

Abstractive Summarization: A Survey of the State of the Art

Hui Lin, Vincent Ng

Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward

Peter Flach

Learning and the Unknown: Surveying Steps toward Open World Recognition

T. E. Boult, S. Cruz, A.R. Dhamija, M. Gunther, J. Henrydoss

Envisioning AI for K-12: What Should Every Child Know about AI?

David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn

Recommender Systems: A Healthy Obsession

Barry Smyth

Building Ethically Bounded AI

Francesca Rossi, Nicholas Mattei

Meaningful Explanations of Black Box AI Decision Systems

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri

Explainable, Normative, and Justified Agency

Pat Langley

Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)

David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Vardi, Gera Weiss

Relating the Structure of a Problem and Its Explanation

Eugene C. Freuder

Towards Fluid Machine Intelligence: Can We Make a Gifted AI?

Ian Davidson, Peter B. Walker

Designing Preferences, Beliefs, and Identities for Artificial Intelligence

Vincent Conitzer

Model AI Assignments 2019

Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga

Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

Richard Hoshino, Maximilian Kahn

Artificial Intelligence Competencies for Data Science Undergraduate Curricula

Andrea Danyluk, Scott Buck

A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming

Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen

PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education

Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal

Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse

Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward

Automatic Generation of Leveled Visual Assessments for Young Learners

Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar

A Neural Network Approach for Birds of a Feather Solvability Prediction

Benjamin Sang, Sejong Yoon

A Monte Carlo Tree Search Player for Birds of a Feather Solitaire

Christian Roberson, Katarina Sperduto

Computer Generation of Birds of a Feather Puzzles

Todd W. Neller, Daniel Ziegler

Efficient Solving of Birds of a Feather Puzzles

Todd W. Neller, Connor Berson, Jivan Kharel, Ryan Smolik

Concept Extraction and Prerequisite Relation Learning from Educational Data

Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia

An Integrative Framework for Artificial Intelligence Education

Pat Langley

Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers

Yaman Kumar, Swati Aggarwal, Debanjan Mahata, Rajiv Ratn Shah, Ponnurangam Kumaraguru

Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game

Bryon Kucharski, Azad Deihim, Mehmet Ergezer

Computational Intractability and Solvability for the Birds of a Feather Game

Richard Hoshino, Max Notarangelo

A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management

Eric Eaton

From Lab to Internship and Back Again: Learning Autonomous Systems through Creating a Research and Development Ecosystem

Trevor Bihl, Todd Jenkins, Chadwick Cox, Ashley DeMange, Kerry Hill

Determining Solvability in the Birds of a Feather Card Game

Shuto Araki, Juan Pablo Arenas Uribe, Zach Wilkerson, Steven Bogaerts, Chad Byers

eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing

H. Zhang, A. Magooda, D. Litman, R. Correnti, E. Wang

Early Detection of Vacant Parking Spaces Using Dashcam Videos

Ming-Che Wu, Mei-Chen Yeh

DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information

Lijing Wang, Jiangzhuo Chen, Madhav Marathe

Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets

Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, LU LIU

Forecasting Intra-Hour Imbalances in Electric Power Systems

Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth

Inferring Concept Prerequisite Relations from Online Educational Resources

Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan

Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms

Xin Qiu, Risto Miikkulainen

Discovering Temporal Patterns from Insurance Interaction Data

Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung

Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications

Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky

Artificial Counselor System for Stock Investment

Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley

Identifying Semantics in Clinical Reports Using Neural Machine Translation

Srikanth Mujjiga, Vamsi Krishna, Kalyan Chakravarthi, Vijayananda J

Tagging Address Queries in Maps Search

Shekoofeh Mokhtari, Ahmad Mahmoody, Dragomir Yankov, Ning Xie

Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines

Nicholas McCarthy, Mohammad Karzand, Freddy Lecue

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

Stéphane Martin, Boi Faltings, Vincent Schickel

Bootstrapping Conversational Agents with Weak Supervision

Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar

Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age

Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong

Building Trust in Deep Learning System towards Automated Disease Detection

Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong

Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study

Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel S.W. Ting, Tien Yin Wong

Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling

Ugur Kuter, Brian Kettler, Katherine Guo, Martin Hofmann, Valerie Champagne

VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System

Abhinav Kumar, Aishwarya Gupta, Bishal Santra, KS Lalitha, Manasa Kolla

Robust Multi-Object Detection Based on Data Augmentation with Realistic Image Synthesis for Point-of-Sale Automation

Saiprasad Koturwar, Soma Shiraishi, Kota Iwamoto

Novelty Detection for Multispectral Images with Application to Planetary Exploration

Hannah R Kerner, Danika F Wellington, Kiri L Wagstaff, James F Bell, Chiman Kwan

Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols

Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru

A Machine Learning Suite for Machine Components’ Health-Monitoring

Ramin Hasani, Guodong Wang, Radu Grosu

Logistic Regression on Homomorphic Encrypted Data at Scale

Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park

Automatic Generation of Chinese Short Product Titles for Mobile Display

Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li

Satellite Detection of Moving Vessels in Marine Environments

Natalie Fridman, Doron Amir, Yinon Douchan, Noa Agmon

DeBGUer: A Tool for Bug Prediction and Diagnosis

Amir Elmishali, Roni Stern, Meir Kalech

Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters

Srija Chakraborty, Subhasish Das, Ayan Banerjee, Sandeep K. S. Gupta, Philip R. Christensen

A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes

Anna Paola Carrieri, Will PM Rowe, Martyn Winn, Edward O. Pyzer-Knapp

Anomaly Detection Using Autoencoders in High Performance Computing Systems

Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces

Joseph Bockhorst, Devin Conathan, Glenn M Fung

Querying NoSQL with Deep Learning to Answer Natural Language Questions

Sebastian Blank, Florian Wilhelm, Hans-Peter Zorn, Achim Rettinger

Early-Stopping of Scattering Pattern Observation with Bayesian Modeling

Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano

Linking Educational Resources on Data Science

José Luis Ambite, Jonathan Gordon, Lily Fierro, Gully Burns, Joel Mathew

Remote Management of Boundary Protection Devices with Information Restrictions

Aaron Adler, Peter Samouelian, Michael Atighetchi, Yat Fu

Grading Uncompilable Programs

Rohit Takhar, Varun Aggarwal

Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI

Atri Mandal, Nikhil Malhotra, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara

Transforming Underwriting in the Life Insurance Industry

Marc Maier, Hayley Carlotto, Freddie Sanchez, Sherriff Balogun, Sears Merritt

Large Scale Personalized Categorization of Financial Transactions

Christopher Lesner, Alexander Ran, Marko Rukonic, Wei Wang

A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI’s AI-Alert

Joshua Eckroth, Eric Schoen

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks

Li’an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu

Deep Embedding Features for Salient Object Detection

Yunzhi Zhuge, Yu Zeng, Huchuan Lu

Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective

Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh

Dynamic Capsule Attention for Visual Question Answering

Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen

Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning

Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun

A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance

Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess