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AAAI Workshops 2017: San Francisco, CA, USA
- The Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, Saturday, February 4-9, 2017, San Francisco, California, USA. AAAI Technical Report WS-17, AAAI Press 2017
AI and OR for Social Good
- Cen Chen, Zachary B. Rubinstein, Stephen F. Smith, Hoong Chuin Lau:
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty. - John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. - Gabriele Farina, John P. Dickerson, Tuomas Sandholm:
Inter-Club Kidney Exchange. - Yuan Gao, Sanmay Das, Patrick J. Fowler:
Homelessness Service Provision: A Data Science Perspective. - Abhinav Jauhri, Brian Foo, Jérôme Berclaz, Chih Chi Hu, Radek Grzeszczuk, Vasu Parameswaran, John Paul Shen:
Space-Time Graph Modeling of Ride Requests Based on Real-World Data. - Chang Liu, Dionne M. Aleman, Chris Beck:
The Senior Transportation Problem. - Daniela Rosu, Dionne M. Aleman, J. Christopher Beck, Mark H. Chignell, Mariano P. Consens, Mark S. Fox, Michael Gruninger, Chang Liu, Yi Ru, Scott Sanner:
Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace. - David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu:
Detection of Money Laundering Groups: Supervised Learning on Small Networks. - Yetian Wang, Mark S. Fox:
Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data. - Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla:
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. - Rui Zhang, Jefferson Huang, Tarun Kumar:
Preventive Leak Detection for High Pressure Gas Transmission Networks.
AI, Ethics, and Society
- Michael Anderson, Susan Leigh Anderson, Vincent Berenz:
A Value Driven Agent: Instantiation of a Case-Supported Principle-Based Behavior Paradigm. - Thomas Arnold, Daniel Kasenberg, Matthias Scheutz:
Value Alignment or Misalignment - What Will Keep Systems Accountable? - Sander Beckers:
AAAI: An Argument Against Artificial Intelligence. - Alexandra Coman, Benjamin Johnson, Gordon Briggs, David W. Aha:
Social Attitudes of AI Rebellion: A Framework. - Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer:
Moral Decision Making Frameworks for Artificial Intelligence. - Judy Goldsmith, Emanuelle Burton:
Why Teaching Ethics to AI Practitioners Is Important. - Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell:
The Off-Switch Game. - Andrea Loreggia, Francesca Rossi, Kristen Brent Venable:
Modelling Ethical Theories Compactly. - Shabnam Ozlati, Roman Yampolskiy:
The Formalization of AI Risk Management and Safety Standards. - Toby Walsh:
The Meta-Turing Test.
AI for Connected and Automated Vehicles
- Kaito Ariu, Cheng Fang, Márcio da Silva Arantes, Cláudio Toledo, Brian Charles Williams:
Chance-Constrained Path Planning with Continuous Time Safety Guarantees. - Alina Elena Marcu, Marius Leordeanu:
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images. - Masataka Nishi:
Preemptive Detection of Unsafe Motion Liable for Hazard.
Artificial Intelligence for Cyber Security
- Jonathan Brophy, Daniel Lowd:
Collective Classification of Social Network Spam. - Shalini Ghosh, Phillip A. Porras, Vinod Yegneswaran, Ken Nitz, Ariyam Das:
ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem. - Marcus Paul Gutierrez, Christopher Kiekintveld:
Adapting Honeypot Configurations to Detect Evolving Exploits. - Saad Khan, Simon Parkinson:
Towards A Multi-Tiered Knowledge-Based System for Autonomous Cloud Security Auditing. - Aron Laszka, Yevgeniy Vorobeychik, Daniel Fabbri, Chao Yan, Bradley A. Malin:
A Game-Theoretic Approach for Alert Prioritization. - Richard P. Lippman, David J. Weller-Fahy, Alyssa C. Mensch, William M. Campbell, Joseph P. Campbell, William W. Streilein, Kevin M. Carter:
Toward Finding Malicious Cyber Discussions in Social Media. - Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh:
A Stackelberg Game Model for Botnet Traffic Exfiltration. - Paul Robertson, Robert Laddaga, Robert P. Goldman, Mark H. Burstein, Daniel Cerys:
Qualitative Reasoning about Cyber Intrusions. - Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams.
AI for Smart Grids and Buildings
- Shubham Bansal, Mischa Schmidt:
Energy Disaggregation Methods for Commercial Buildings Using Smart Meter and Operational Data. - Ferdinando Fioretto, William Yeoh, Enrico Pontelli:
A Multiagent System Approach to Scheduling Devices in Smart Homes. - Kostas Hatalis, Shalinee Kishore, Katya Scheinberg
, Alberto J. Lamadrid:
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power. - Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman:
Fast Electrical Demand Optimization Under Real-Time Pricing. - Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, Annika Todd:
Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data. - Denis Kolev, Christopher Johnson:
An Extension of Network Security Games for Large-Scale Infrastructure Protection. - Lei Zhan, Dah Ming Chiu:
Data Analytic Policy Design Applied to Energy Conservation in College Dormitories. - Amanda Leah Zulas, Kaitlyn I. Franz, Darrin Griechen, Matthew E. Taylor:
Solar Decathlon Competition: Towards a Solar-Powered Smart Home.
Computer Poker and Imperfect Information Games
- Noam Brown, Tuomas Sandholm:
Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning. - Noam Brown, Tuomas Sandholm:
Safe and Nested Endgame Solving for Imperfect-Information Games. - Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling:
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Jiri Cermak, Branislav Bosanský:
Towards Solving Imperfect Recall Games. - Jiri Cermak, Branislav Bosanský, Michal Pechoucek:
Combining Incremental Strategy Generation and Branch and Bound Search for Computing Maxmin Strategies in Imperfect Recall Games. - Sam Ganzfried, Farzana Yusuf:
Learning Human-Understandable Strategies. - Qingyu Guo, Bo An, Branislav Bosanský, Christopher Kiekintveld:
Strategic Information Revelation and Commitment in Security Games. - Eric Griffin Jackson:
Targeted CFR. - Xun Li, Risto Miikkulainen:
Evolving Adaptive Poker Players for Effective Opponent Exploitation. - Viliam Lisý, Michael Bowling:
Eqilibrium Approximation Quality of Current No-Limit Poker Bots. - Xintong Wang, Michael Paul Wellman:
Spoofing the Limit Order Book: An Agent-Based Model.
Crowdsourcing, Deep Learning and Artificial Intelligence Agents
- Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos:
Learning from Graph Neighborhoods Using LSTMs. - Dongdong Chen, Jiancheng Lv, Yi Zhang:
Unsupervised Multi-Manifold Clustering by Learning Deep Representation. - Lex Fridman, Bryan Reimer:
Semi-Automated Annotation of Discrete States in Large Video Datasets. - Yuhang He, Lu Yang, Long Chen:
Real-Time Fashion-Guided Clothing Semantic Parsing: A Lightweight Multi-Scale Inception Neural Network and Benchmark. - Ece Kamar, Lydia Manikonda:
Complementing the Execution of AI Systems with Human Computation. - Sarah K. K. Luger:
Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages. - Le Manh Quan, Yong-Guk Kim:
DeepForest: 3D Hand Pose Estimation Using Deep Network and Random Forest Regression. - Vikram Ramanarayanan, David Suendermann-Oeft, Hillary Molloy, Eugene Tsuprun, Patrick L. Lange, Keelan Evanini:
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case. - Wael Salloum, Erik Edwards, Shabnam Ghaffarzadegan, David Suendermann-Oeft, Mark Miller:
Crowdsourced Continuous Improvement of Medical Speech Recognition. - Sajad Shirali-Shahreza, Pieter Luitjens, Natalie Morcos, Wen Xiao, Zhenghong Qian, Gerald Penn:
Crowdsourcing the Pronunciation of Out-of-Vocabulary Words. - Hanzhang Song, Yunhui Guo, Congfu Xu:
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation. - Mohit Yadav, Sakshi Agarwal:
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations. - Seunghyun Yoon, Hyeongu Yun, Yuna Kim, Gyu-tae Park, Kyomin Jung:
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network. - Kui Zhao, Xia Hu, Jiajun Bu, Can Wang:
Deep Style Match for Complementary Recommendation.
Distributed Machine Learning
- Ayan Das, Raghuveer Chanda, Smriti Agrawal, Sourangshu Bhattacharya
Distributed Weighted Parameter Averaging for SVM Training on Big Data. - Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola:
Data Driven Resource Allocation for Distributed Learning. - Xi He, Dheevatsa Mudigere, Mikhail Smelyanskiy, Martin Takác:
Distributed Hessian-Free Optimization for Deep Neural Network. - Chenxin Ma, Martin Takác:
Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing. - Praveen Rao, Anas Katib, Kobus Barnard, Charles A. Kamhoua, Kevin A. Kwiat, Laurent Njilla:
Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data. - Jun Song, David Moore:
Parallel Chromatic MCMC with Spatial Partitioning. - Gavin Taylor, Zheng Xu, Tom Goldstein:
Scalable Classifiers with ADMM and Transpose Reduction. - Romain Warlop, Alessandro Lazaric, Jérémie Mary:
Parallel Higher Order Alternating Least Square for Tensor Recommender System.
Joint Workshop on Health Intelligence
- Yuan Bai, Bo Yang, Rosalind M. Eggo, Zhanwei Du:
Event-Based Structural Change Detection in Urban-Scale Contact Network. - Mahmoud Elbattah, Owen Molloy:
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland. - Xiaolei Huang, Michael C. Smith, Michael J. Paul, Dmytro Ryzhkov, Sandra Crouse Quinn, David A. Broniatowski, Mark Dredze:
Examining Patterns of Influenza Vaccination in Social Media. - Tze-Yun Leong:
Toward A Collaborative AI Framework for Assistive Dementia Care. - Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun:
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning. - Haofu Liao, Jiebo Luo:
A Deep Multi-Task Learning Approach to Skin Lesion Classification. - Martin Michalowski, Wojtek Michalowski, Szymon Wilk, Dympna O'Sullivan, Marc Carrier:
AFGuide System to Support Personalized Management of Atrial Fibrillation. - Anh Nguyen, Long Nguyen, Dong Nguyen, Uyen Le, Tuan Tran:
"420 Friendly": Revealing Marijuana Use via Craigslist Rental Ads. - Ifeoma Nwogu, Smriti Jha, Lora Cavuoto, Heamchand Subryan, Jeanne Langan:
A Portable Upper Extremity Rehabilitation Device. - Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge:
Multidimensional and Longitudinal Indicators in Population Health. - Julie M. Robillard, Areej Alhothali, Sunjay Varma, Jesse Hoey:
Intelligent and Affectively Aligned Evaluation of Online Health Information for Older Adults. - Hongle Wu, Takafumi Kato, Tomomi Yamada, Masayuki Numao, Ken-ichi Fukui:
Personal Sleep Pattern Visualization via Clustering on Sound Data. - Yiheng Zhou, Catherine Glenn, Jiebo Luo:
Understanding and Predicting Multiple Risky Behaviors from Social Media.
Human-Aware Artificial Intelligence
- Kenneth Charles Arnold, Kai-Wei Chang, Adam Tauman Kalai:
Learning to Suggest Phrases. - Balasubramaniyan Chandrasekaran, James M. Conrad:
Complete Coverage Planning: Achieving Human Interaction and Maximum Coverage During an Autonomous Robotic Vehicle Navigation of an Unknown Terrain. - Aliya Gangji, Trevor Walden, Preethi Vaidyanathan, Emily Prud'hommeaux, Reynold Bailey, Cecilia O. Alm:
Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment. - Raymond Ka-Man Sheh:
"Why Did You Do That?" Explainable Intelligent Robots.
Human-Machine Collaborative Learning
- Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Bob Price, Gerhard Neumann:
Stochastic Search In Changing Situations. - Rodrigo Cesar Bonini, Felipe Leno da Silva, Edison Spina, Anna Helena Reali Costa:
Using Options to Accelerate Learning of New Tasks According to Human Preferences. - Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan:
Active Preference Elicitation for Planning. - P. Michael Furlong:
Adaptive Sample Selection for Hypothesis Falsification. - Matthew Craig Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah:
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling. - Arnaud Grignard, Alexis Drogoul:
Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs. - Derrall Heath, Dan Ventura:
Semantic Style Creation. - Matthew Evans Klenk, Shiwali Mohan, Johan de Kleer, Daniel G. Bobrow, Tom Hinrichs, Kenneth D. Forbus:
Collaborative Autonomy through Analogical Comic Graphs. - Goutam Nair, Vikram Pudi:
WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia. - Maj Stenmark, Mathias Haage, Elin Anna Topp, Jacek Malec:
Making Robotic Sense of Incomplete Human Instructions in High-Level Programming for Industrial Robotic Assembly. - Matthieu Vergne:
Artificial Intelligence and Expertise: The Two Faces of the Same Artificial Performance Coin.
Knowledge-Based Techniques for Problem Solving and Reasoning
- Pengshan Cai, Wei Li, Yansong Feng, Yuanzhuo Wang, Yantao Jia:
Learning Knowledge Representation Across Knowledge Graphs. - Ameneh Deljoo, Tom M. van Engers, Leon Gommans, Cees T. A. M. de Laat:
What Is Going On: Utility-Based Plan Selection in BDI Agents. - Devendra Singh Dhami, David Leake, Sriraam Natarajan:
Knowledge-Based Morphological Classification of Galaxies from Vision Features. - Seng-Beng Ho:
Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving. - Seng-Beng Ho, Fiona Liausvia:
On Inductive Learning of Causal Knowledge for Problem Solving. - Natthawut Kertkeidkachorn, Ryutaro Ichise:
T2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text. - Senka Krivic, Michael Cashmore, Bram Ridder, Daniele Magazzeni, Sándor Szedmák, Justus H. Piater:
Initial State Prediction in Planning. - Jennifer Renoux, Marjan Alirezaie, Lars Karlsson, Uwe Köckemann
Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. - Hannes Strass, Adam Z. Wyner:
On Automated Defeasible Reasoning with Controlled Natural Language and Argumentation. - Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan:
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. - Yan Zhang, Yuanlin Zhang:
Epistemic Specifications and Conformant Planning.
Plan, Activity, and Intent Recognition
- Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. - Rogelio Enrique Cardona-Rivera, Robert Michael Young:
Toward Combining Domain Theory and Recipes in Plan Recognition. - Yolanda E-Martín, David E. Smith:
Goal Recognition with Noisy Observations. - Christopher William Geib:
Partial Observability in Grammar Based Plan Recognition. - Roger Leitzke Granada, Ramon Fraga Pereira, Juarez Monteiro, Rodrigo Coelho Barros, Duncan D. Ruiz, Felipe Meneguzzi:
Hybrid Activity and Plan Recognition for Video Streams. - Sarah Keren, Luis Enrique Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein:
Redesigning Stochastic Environments for Maximized Utility. - John Maraist:
String Shuffling over a Gap between Parsing and Plan Recognition. - David H. Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha:
Dynamic Goal Recognition Using Windowed Action Sequences. - Wookhee Min, Bradford W. Mott, Jonathan P. Rowe, James C. Lester:
Deep LSTM-Based Goal Recognition Models for Open-World Digital Games. - Reuth Mirsky, Roni Stern, Ya'akov Gal, Meir Kalech:
Plan Recognition Design. - Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi:
Monitoring Plan Optimality Using Landmarks and Domain-Independent Heuristics. - Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste:
Abstracting from Observation-Equivalent Entities in Human Behavior Modeling. - Maayan Shvo, Shirin Sohrabi, Sheila A. McIlraith:
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem (Preliminary Report). - Kristina Y. Yordanova:
TextToHBM: A Generalised Approach to Learning Models of Human Behaviour for Activity Recognition from Textual Instructions.
Symbolic Inference and Optimization
- Vaishak Belle:
Open-Universe Weighted Model Counting: Extended Abstract. - Cristina Cornelio, Vijay A. Saraswat:
Expressing Probabilistic Graphical Models in RCC. - Shalini Ghosh, Patrick Lincoln, Ashish Tiwari, Xiaojin Zhu:
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models. - Shamin Kinathil, Harold Soh, Scott Sanner:
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes. - Timothy Kopp, Parag Singla, Henry A. Kautz:
Conditional Term Equivalent Symmetry Breaking for SAT. - Wiktor Mateusz Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio:
PDDL+ Planning with Temporal Pattern Databases. - Taisuke Sato:
Embedding Tarskian Semantics in Vector Spaces. - Fumito Takeuchi, Masaaki Nishino, Norihito Yasuda, Takuya Akiba, Shin-ichi Minato, Masaaki Nagata:
BDD-Constrained A* Search: A Fast Method for Solving Constrained DAG Shortest-Path Problems.
What's Next for AI in Games?
- Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. - Fernando de Mesentier Silva, Scott Lee, Julian Togelius, Andy Nealen:
AI as Evaluator: Search Driven Playtesting of Modern Board Games. - Frank Lantz, Aaron Isaksen, Alexander Jaffe, Andy Nealen, Julian Togelius:
Depth in Strategic Games. - Benedikte Mikkelsen, Christoffer Holmgård, Julian Togelius:
Ethical Considerations for Player Modeling. - Dino Stephen Ratcliffe, Sam Devlin, Udo Kruschwitz, Luca Citi:
Clyde: A Deep Reinforcement Learning DOOM Playing Agent. - Adam Summerville, Morteza Behrooz, Michael Mateas, Arnav Jhala:
What Does That ?-Block Do? Learning Latent Causal Affordances From Mario Play Traces. - Jinzheng Tu, Tianhong Li, Shiteng Chen, Chong Zu, Zhaoquan Gu:
Exploring Efficient Strategies for Minesweeper. - Josep Valls-Vargas, Jichen Zhu, Santiago Ontañón:
Towards Automatically Extracting Story Graphs from Natural Language Stories. - Margot Lisa-Jing Yann, Yves Lespérance, Aijun An:
Rewards Structure in Games: Learning a Compact Representation for Action Space. - Martin A. Zinkevich, Dale Schuurmans:
Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks. - Cameron Browne:
Back to the Past: Ancient Games as a New AI Frontier. - Rogelio Enrique Cardona-Rivera:
Cognitively-Grounded Procedural Content Generation. - Santiago Ontañón, Josep Valls-Vargas, Jichen Zhu:
Bridging the Gap Between Computational Narrative and Natural Language Processing. - Joseph Carter Osborn, Michael Mateas:
Against Forward Models. - Ruck Thawonmas, Tomohiro Harada:
AI for Game Spectators: Rise of PPG. - Alexander Zook:
AI and Multiplayer Games.
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