AAAI Workshops

Publications

2018

Tarun Gupta, Akshat Kumar, Praveen Paruchuri
Planning and Learning for Decentralized MDPs with Event Driven Rewards. AAAI Workshops (2018)
Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Erin L. Winstanley
Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter. AAAI Workshops (2018)
Haibo Ding, Tianyu Jiang, Ellen Riloff
Why Is an Event Affective? Classifying Affective Events Based on Human Needs. AAAI Workshops (2018)
Hao Cui, Roni Khardon
Lifted Stochastic Planning, Belief Propagation and Marginal MAP. AAAI Workshops (2018)
Nghi D. Q. Bui, Lingxiao Jiang, Yijun Yu
Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks. AAAI Workshops (2018)
Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. AAAI Workshops (2018)
Elif Eyigöz, Pablo Polosecki, Adolfo M. García, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustín Ibáñez, Guillermo A. Cecchi
Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. AAAI Workshops (2018)
Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. AAAI Workshops (2018)
Aniruddha Tammewar, Monik Pamecha, Chirag Jain, Apurva Nagvenkar, Krupal Modi
Production Ready Chatbots: Generate if Not Retrieve. AAAI Workshops (2018)
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops (2018)
William Tun, Ognjen Arandjelovic, Peter David Caie
Using Machine Learning and Urine Cytology for Bladder Cancer Prescreening and Patient Stratification. AAAI Workshops (2018)
Merav Chkroun, Amos Azaria
Safebot: A Safe Collaborative Chatbot. AAAI Workshops (2018)
Emmett Tomai
Extraction of Interaction Events for Learning Reasonable Behavior in an Open-World Survival Game. AAAI Workshops (2018)
Enea Parimbelli, Daniele Pala, Riccardo Bellazzi, Cecilia Vera-Mñnoz, Vittorio Casella
Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS. AAAI Workshops (2018)
Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
Gated Orthogonal Recurrent Units: On Learning to Forget. AAAI Workshops (2018)
Saavi Stubseid, Ognjen Arandjelovic
Machine Learning Based Prediction of Consumer Purchasing Decisions: The Evidence and Its Significance. AAAI Workshops (2018)
Junkyu Lee, Alexander T. Ihler, Rina Dechter
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops (2018)
Lu Liu, Zhiguang Wang
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series. AAAI Workshops (2018)
Marie Denise Manner, Maria L. Gini, Jed T. Elison
Graphically Representing Child-Robot Interaction Proxemics. AAAI Workshops (2018)
Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops (2018)
Siwakorn Srisakaokul, Zhengkai Wu, Angello Astorga, Oreoluwa Alebiosu, Tao Xie
Multiple-Implementation Testing of Supervised Learning Software. AAAI Workshops (2018)
Joris Heyse, Femke Ongenae, Femke De Backere, Filip De Turck
Personalisation of Exercises in VRET. AAAI Workshops (2018)
Mason Wright, Michael P. Wellman
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach. AAAI Workshops (2018)
Tianlin Liu, Arvid Kappas
Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions. AAAI Workshops (2018)
Xuguang Wang, Xingyi Cheng, Jie Zhou, Wei Xu
State Tracking Networks for Dialog State Tracking. AAAI Workshops (2018)
Matthew Molineaux, Dustin Dannenhauer, David W. Aha
Towards Explainable NPCs: A Relational Exploration Learning Agent. AAAI Workshops (2018)
Svetlana Stoyanchev, Michael Johnston
Knowledge-Graph Driven Information State Approach to Dialog. AAAI Workshops (2018)
Matthew J. Guzdial, Mark O. Riedl
Combinatorial Creativity for Procedural Content Generation via Machine Learning. AAAI Workshops (2018)
Liu Liu, Daria Dzyabura, Natalie Mizik
Visual Listening In: Extracting Brand Image Portrayed on Social Media. AAAI Workshops (2018)
Yanlin Han, Piotr J. Gmytrasiewicz
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs. AAAI Workshops (2018)
Gabriele Pergola, Yulan He, David Lowe
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. AAAI Workshops (2018)
Timofey Bryksin, Alexey Shpilman, Daniel Kudenko
Automated Refactoring of Object-Oriented Code Using Clustering Ensembles. AAAI Workshops (2018)
John Winder, Marie desJardins
Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning. AAAI Workshops (2018)
Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops (2018)
Susheel Suresh, Guru Rajan T. S, Vipin Gopinath
VoC-DL: Revisiting Voice of Customer Using Deep Learning. AAAI Workshops (2018)
Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. AAAI Workshops (2018)
Reihaneh H. Hariri, Erik M. Fredericks
Towards Traceability Link Recovery for Self-Adaptive Systems. AAAI Workshops (2018)
Jingguang Zhou, Zili Huang
Recover Missing Sensor Data with Iterative Imputing Network. AAAI Workshops (2018)
Jeremy Lacomis, Alan Jaffe, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu
Statistical Machine Translation Is a Natural Fit for Automatic Identifier Renaming in Software Source Code. AAAI Workshops (2018)
Elad Liebman, Eric Zavesky, Peter Stone
Autonomous Model Management via Reinforcement Learning. AAAI Workshops (2018)
Yunxiu Zeng, Kai Xu, Quanjun Yin, Long Qin, Yabing Zha, William Yeoh
Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction. AAAI Workshops (2018)
Alison Paredes, Wheeler Ruml
Real-Time Planning for Traffic Signal Control. AAAI Workshops (2018)
The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Workshops (2018)
Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops (2018)
Amirreza Shirani, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio, Mohammad Amin Alipour
Evaluation of Type Inference with Textual Cues. AAAI Workshops (2018)
Duncan C. McElfresh, John P. Dickerson
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. AAAI Workshops (2018)
Takayuki Katsuki, Masaki Ono, Akira Koseki, Michiharu Kudo, Kyoichi Haida, Jun Kuroda, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki
Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder. AAAI Workshops (2018)
Yao Xue, Nilanjan Ray
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. AAAI Workshops (2018)
Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
Generating Regular Expressions from Natural Language Specifications: Are We There Yet? AAAI Workshops (2018)
Elham Khabiri, Wesley M. Gifford, Pietro Mazzoleni, Dharmesh Vadgama
Thematic Distillation and Point of View Extraction for Enterprise-Level Documents. AAAI Workshops (2018)