IJCAI 2019

964 papers

Intelligent Decision Support for Improving Power Management

Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups

Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

SHUAI ZHANG, Yi Tay, Lina Yao, Bin Wu, Aixin Sun

An Online Intelligent Visual Interaction System

Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang

Fair and Explainable Dynamic Engagement of Crowd Workers

Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen

Multi-Agent Visualization for Explaining Federated Learning

Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen

GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos

Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li

Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang

AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations

Tiago Pinto, Zita Vale

Reagent: Converting Ordinary Webpages into Interactive Software Agents

Matthew Peveler, Jeffrey O. Kephart, Hui Su

SAGE: A Hybrid Geopolitical Event Forecasting System

Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andres Abeliuk

A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model

Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng

ACTA A Tool for Argumentative Clinical Trial Analysis

Tobias Mayer, Elena Cabrio, Serena Villata

CRSRL: Customer Routing System Using Reinforcement Learning

Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang

Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination

Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu

CoTrRank: Trust Evaluation of Users and Tweets

Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu

Neural Discourse Segmentation

Jing Li

Design and Implementation of a Disambiguity Framework for Smart Voice Controlled Devices

Kehua Lei, Tianyi Ma, Jia Jia, Cunjun Zhang, Zhihan Yang

ERICA and WikiTalk

Divesh Lala, Graham Wilcock, Kristiina Jokinen, Tatsuya Kawahara

The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration

Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini

Contextual Typeahead Sticker Suggestions on Hike Messenger

Mohamed Hanoosh, Abhishek Laddha, Debdoot Mukherjee

DISPUTool -- A tool for the Argumentative Analysis of Political Debates

Shohreh Haddadan, Elena Cabrio, Serena Villata

Agent-based Decision Support for Pain Management in Primary Care Settings

Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen

The Open Vault Challenge - Learning How to Build Calibration-Free Interactive Systems by Cracking the Code of a Vault

Jonathan Grizou

A Mobile Application for Sound Event Detection

Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang

Embodied Conversational AI Agents in a Multi-modal Multi-agent Competitive Dialogue

Rahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra

InterSpot: Interactive Spammer Detection in Social Media

Kaize Ding, Jundong Li, Shivam Dhar, Shreyash Devan, Huan Liu

Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation

Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang

VEST: A System for Vulnerability Exploit Scoring & Timing

Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian

Crowd View: Converting Investors' Opinions into Indicators

Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot

Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang

Hintikka's World: Scalable Higher-order Knowledge

Tristan Charrier, Sébastien Gamblin, Alexandre Niveau, François Schwarzentruber

Multi-Agent Path Finding on Ozobots

Roman Barták, Ivan Krasičenko, Jiří Švancara

Explainable Deep Neural Networks for Multivariate Time Series Predictions

Roy Assaf, Anika Schumann

OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models

Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco J. Díez

Personal Context Recognition via Skeptical Learning

Wanyi Zhang

Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks

Fan Xiong, Jianliang Gao

Evolutionary Learning of Existential Rules

Lianlong Wu

Self-Organizing Incremental Neural Networks for Continual Learning

Chayut Wiwatcharakoses, Daniel Berrar

AI at the Margins: Data, Decisions, and Inclusive Social Impact

Bryan Wilder

Adversarial Machine Learning with Double Oracle

Kai Wang

A Compliance Checking Framework for DNN Models

Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

The Design of Human Oversight in Autonomous Weapon Systems

Ilse Verdiesen

Cautious Rule-Based Collective Inference

Martin Svatos

Matching with Constraints

Zhaohong Sun

Deep Learning with Relational Logic Representations

Gustav Sourek

Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments

Thiago D. Simão

Intelligent Querying in Camera Networks for Efficient Target Tracking

Anil Sharma

Preference Elicitation and Explanation in Iterative Planning

Lindsay Sanneman

Technical, Hard and Explainable Question Answering (THE-QA)

Shailaja Sampat

Towards Architecture-Agnostic Neural Transfer: a Knowledge-Enhanced Approach

Seán Quinn, Alessandra Mileo

Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network

Bonaventure Molokwu

Split Q Learning: Reinforcement Learning with Two-Stream Rewards

Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi

Optimizing Interactive Systems with Data-Driven Objectives

Ziming Li

Intelligent Agent for Assessing and Guiding Rehabilitation Exercises

Min Hun Lee

Unsupervised Multi-view Learning

Ling Huang

Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies?

Céline Hocquette

A Unified Mathematical Approach for Foraging and Construction Systems in a 1,000,000 Robot Swarm

John Harwell

Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions

Tejas Gokhale

Teaching Robots to Interact with Humans in a Smart Environment

Shivam Goel

Finding Justifications by Approximating Core for Large-scale Ontologies

Mengyu Gao, Yuxin Ye, Dantong Ouyang, Bin Wang

Jun Gao, Jianliang Gao

AI in Recruiting. Multi-agent Systems Architecture for Ethical and Legal Auditing

María del Carmen Fernández Martínez, Alberto Fernández

Visionary Security: Using Uncertain Real-Time Information in Signaling Games

Elizabeth Bondi

Constraint Solving and Optimization Using Evolutionary Techniques

Mahdi Bidar, Malek Mouhoub

Conditional Preference Network with Constraints and Uncertainty

Sultan Ahmed

What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature

Byron C. Wallace

Domain-Dependent and Domain-Independent Problem Solving Techniques

Roni Stern

AI Planning for Enterprise: Putting Theory Into Practice

Shirin Sohrabi

From Data to Knowledge Engineering for Cybersecurity

Gerardo I. Simari

Multiagent Decision Making and Learning in Urban Environments

Akshat Kumar

Integrating Learning with Game Theory for Societal Challenges

Fei Fang

The Quest For "Always-On" Autonomous Mobile Robots

Joydeep Biswas

On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)

Claudia Schulz, Francesca Toni

Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration

Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan

Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract)

Bernhard Nebel, Thomas Bolander, Thorsten Engesser, Robert Mattmüller

Shielded Base Contraction (Extended Abstract)

Marco Garapa, Eduardo Fermé, Maurício D. L. Reis

Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)

Bettina Fazzinga, Sergio Flesca, Filippo Furfaro

A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)

Emmanuelle-Anna Dietz Saldanha, Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli, Luis Palacios Medinacelli

Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract)

Nikhil Bhargava, Brian C. Williams

Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)

Pierre Baldi, Peter Sadowski, Zhiqin Lu

Leveraging Human Guidance for Deep Reinforcement Learning Tasks

Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone

Sequential Recommender Systems: Challenges, Progress and Prospects

Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng

Recent Advances in Imitation Learning from Observation

Faraz Torabi, Garrett Warnell, Peter Stone

Social Media-based User Embedding: A Literature Review

Shimei Pan, Tao Ding

A Survey of Reinforcement Learning Informed by Natural Language

Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas

Automated Essay Scoring: A Survey of the State of the Art

Zixuan Ke, Vincent Ng

Learning and Inference for Structured Prediction: A Unifying Perspective

Aryan Deshwal, Janardhan Rao Doppa, Dan Roth

Deep Learning for Video Captioning: A Review

Shaoxiang Chen, Ting Yao, Yu-Gang Jiang

Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning

Ruth M. J. Byrne

A Survey on Hierarchical Planning – One Abstract Idea, Many Concrete Realizations

Pascal Bercher, Ron Alford, Daniel Höller

A Replication Study of Semantics in Argumentation

Leila Amgoud

Integrating Knowledge and Reasoning in Image Understanding

Somak Aditya, Yezhou Yang, Chitta Baral

Adversarial Attacks on Neural Networks for Graph Data

Daniel Zügner, Amir Akbarnejad, Stephan Günnemann

Taskonomy: Disentangling Task Transfer Learning

Amir Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik

Causal Embeddings for Recommendation: An Extended Abstract

Flavian Vasile, Stephen Bonner

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract

Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum

Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models

Harold Soh, Shu Pan, Min Chen, David Hsu

Optimally Efficient Bidirectional Search

Eshed Shaham, Ariel Felner, Nathan R. Sturtevant, Jeffrey S. Rosenschein

Constraint Games for Stable and Optimal Allocation of Demands in SDN

Anthony Palmieri, Arnaud Lallouet, Luc Pons