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AAAI Workshops 2018: New Orleans, LA, USA
- The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Technical Report WS-18, AAAI Press 2018, ISBN 978-1-57735-801-5
Affective Content Analysis
- Niyati Chhaya, Kokil Jaidka, Lyle H. Ungar:
The AAAI-18 Workshop on Affective Content Analysis. 2-7 - Haibo Ding, Tianyu Jiang, Ellen Riloff:
Why Is an Event Affective? Classifying Affective Events Based on Human Needs. 8-15 - Sri Harsha Dumpala, Rupayan Chakraborty
, Sunil Kumar Kopparapu:
Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis. 16-20 - Nikita Haduong, David Nester, Preethi Vaidyanathan, Emily Prud'hommeaux, Reynold Bailey, Cecilia Ovesdotter Alm:
Multimodal Alignment for Affective Content. 21-28 - Hoa T. Le, Christophe Cerisara, Alexandre Denis:
Do Convolutional Networks Need to Be Deep for Text Classification? 29-36 - Tianlin Liu, Arvid Kappas:
Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions. 37-43 - Sayyed M. Zahiri, Jinho D. Choi:
Emotion Detection on TV Show Transcripts with Sequence-Based Convolutional Neural Networks. 44-52
Artificial Intelligence and Marketing Science
- Eliot Abrams, George Gui, Ali Hortaçsu:
Finding Exogenous Variation in Data. 53-58 - Rakshit Agrawal, Anwar Habeeb, Chih-Hsin Hsueh:
Learning User Intent from Action Sequences on Interactive Systems. 59-64 - Elham Khabiri, Wesley M. Gifford, Pietro Mazzoleni, Dharmesh Vadgama:
Thematic Distillation and Point of View Extraction for Enterprise-Level Documents. 65-70 - Liu Liu, Daria Dzyabura, Natalie Mizik:
Visual Listening In: Extracting Brand Image Portrayed on Social Media. 71-77 - Xiao Liu, Dokyun Lee, Kannan Srinivasan:
Large Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning. 78-84 - Pankhuri Malhotra, Siddhartha Bhattacharyya:
Large Scale Online Brand Networks to Study Brand Effects. 85-92 - Prashant Rajaram, Puneet Manchanda, Eric Schwartz:
Bingeability and Ad Tolerance: New Metrics for the Streaming Media Age. 93-99 - Saavi Stubseid, Ognjen Arandjelovic:
Machine Learning Based Prediction of Consumer Purchasing Decisions: The Evidence and Its Significance. 100-106 - Susheel Suresh, Guru Rajan T. S, Vipin Gopinath:
VoC-DL: Revisiting Voice of Customer Using Deep Learning. 107-112 - Minghong Xu, Siddhartha Bhattacharyya:
Inferring Brand Knowledge from Online Consumer Associative Brand Networks. 113-121
Artificial Intelligence Applied to Assistive Technologies and Smart Environments
- Hend Al Tair, Gonçalo S. Martins, Luís Santos, Jorge Dias:
POMDP: State-Based Decision Making for Personalized Assistive Robots. 122-125 - 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. 126-131 - Shabnam Ghaffarzadegan:
Deep Multiple Instance Feature Learning via Variational Autoencoder. 132-140 - Joris Heyse, Femke Ongenae, Femke De Backere, Filip De Turck:
Personalisation of Exercises in VRET. 141-144 - Inchul Hwang, Heesik Jeon, Hyung Rai Oh, Donghyeon Lee, Munjo Kim, Jihie Kim:
Chatti: A Conversational Chatbot Platform. 145-148 - Amlaan Shakeel, Peining Che, Xien Liu, Yamuna Rajesekhar, John C. Femiani:
Automatic Sign Detection with Application to an Assistive Robot. 149-152 - Bram Steenwinckel, Femke De Backere, Jelle Nelis, Femke Ongenae, Filip De Turck:
Self-Learning Algorithms for the Personalised Interaction with People with Dementia. 153-158 - Yao Xue, Nilanjan Ray:
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet. 159-166
AI Enhanced Internet of Things Data Processing for Intelligent Applications
- Ritesh Ajoodha, Benjamin Rosman:
Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data. 167-173 - Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu:
Transfer Learning for Traffic Speed Prediction: A Preliminary Study. 174-177 - Lu Liu, Zhiguang Wang:
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series. 178-184 - Alessandro Oltramari, Joseph Szurley, Samarjit Das, Jonathan Francis, Juncheng Li:
Towards Knowledge Oriented Intelligent Audio Analytics. 185-188 - Alison Paredes, Wheeler Ruml:
Real-Time Planning for Traffic Signal Control. 189-193 - Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang:
Efficient Scene Labeling via Sparse Annotations. 194-201 - 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. 202-208 - Jingguang Zhou, Zili Huang:
Recover Missing Sensor Data with Iterative Imputing Network. 209-216
Artificial Intelligence for Cyber Security
- Anaël Beaugnon, Pierre Chifflier, Francis R. Bach:
End-to-End Active Learning for Computer Security Experts. 217-224 - Jingkai Chen, Cheng Fang, Christian J. Muise, Howard E. Shrobe, Brian C. Williams, Peng Yu:
RADMAX: Risk and Deadline Aware Planning for Maximum Utility. 225-230 - Venkatesh Duppada:
"Attention" for Detecting Unreliable News in the Information Age. 231-236 - Yi Han, Benjamin I. P. Rubinstein:
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks. 237-244 - Weiwei Hu, Ying Tan:
Black-Box Attacks against RNN Based Malware Detection Algorithms. 245-251 - Ira S. Moskowitz, Stephen Russell, Brian Jalaian:
Steganographic Internet of Things: Graph Topology Timing Channels. 252-259 - Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha:
Deceitful Attacks in Security Games. 260-267 - Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas:
Malware Detection by Eating a Whole EXE. 268-276 - Md Amran Siddiqui, Alan Fern, Ryan Wright, Alec Theriault, David W. Archer, William Maxwell:
Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback. 277-284 - Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper:
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. 285-293
Artificial Intelligence for Imperfect-Information Games
- Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. 294-301 - Xun Li, Risto Miikkulainen:
Dynamic Adaptation and Opponent Exploitation in Computer Poker. 302-309 - Alexander Peysakhovich, Adam Lerer:
Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). 310-316 - Mason Wright, Michael P. Wellman:
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach. 317-324 - Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Game with Online Information. 325-333
Declarative Learning Based Programming
- Golnoosh Farnadi, Behrouz Babaki
Fairness-Aware Relational Learning and Inference. 333-335 - Soumali Roychowdhury, Michelangelo Diligenti, Marco Gori:
Image Classification Using Deep Learning and Prior Knowledge. 336-343
Engineering Dependable and Secure Machine Learning Systems
- 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. 344-347 - Elad Liebman, Eric Zavesky, Peter Stone:
Autonomous Model Management via Reinforcement Learning. 348-355 - Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich:
Can We Achieve Open Category Detection with Guarantees? 356-363 - John Mitro, Derek Bridge, Steve Prestwich:
Denoising Dictionary Learning Against Adversarial Perturbations. 364-371 - Sujan Perera, Orna Raz, Ramani Routray, Shenghua Bao, Marcel Zalmanovici:
Optimizing Hierarchical Classification with Adaptive Node Collapses. 372-375 - Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. 376-383 - Siwakorn Srisakaokul, Zhengkai Wu, Angello Astorga, Oreoluwa Alebiosu, Tao Xie:
Multiple-Implementation Testing of Supervised Learning Software. 384-391 - Jacob Whitehill:
Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. 392-399 - Wei Yang, Tao Xie:
Telemade: A Testing Framework for Learning-Based Malware Detection Systems. 400-403 - Jun Zhao:
Distributed Deep Learning under Differential Privacy with the Teacher-Student Paradigm. 404-408
Health Intelligence
- Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad
Multi-Label Classification of Patient Notes: Case Study on ICD Code Assignment. 409-416 - William E. Cheetham:
Personalized Healthcare for Patients Access to Price Transparency. 417-424 - Shichao Feng, Keyuan Jiang, Jiyun Li, Ricardo A. Calix, Matrika Gupta:
Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks. 425-430 - Libby Ferland, Ziwei Li, Shridhar Sukhani, Joan Zheng, Luyang Zhao, Maria L. Gini:
Assistive AI for Coping with Memory Loss. 431-434 - Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati:
Personalized Medication Dosing Using Volatile Data Streams. 435-442 - 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. 443-450 - 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. 451-454 - Nadin Kökciyan, Isabel Sassoon, Anthony P. Young, Martin Chapman, Talya Porat, Mark Ashworth, Vasa Curcin, Sanjay Modgil, Simon Parsons, Elizabeth Sklar:
Towards an Argumentation System for Supporting Patients in Self-Managing Their Chronic Conditions. 455-462 - Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng:
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. 463-464 - Hiroshi Mamiya, Xing Han Lu, Yu Ma, David L. Buckeridge:
Using Digital Purchasing Data to Generate Public Health Evidence: Learning Unhealthy Beverage Demand from Grocery Transaction Data. 465-469 - Marie Denise Manner, Maria L. Gini, Jed T. Elison:
Graphically Representing Child-Robot Interaction Proxemics. 470-478 - Mohammad Mehedy Masud, Muhsin Cheratta:
A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients. 479-486 - Duncan C. McElfresh, John P. Dickerson:
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. 487-494 - 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. 495-498 - Gabriele Pergola, Yulan He, David Lowe:
Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. 499-506 - William Tun, Ognjen Arandjelovic, Peter David Caie:
Using Machine Learning and Urine Cytology for Bladder Cancer Prescreening and Patient Stratification. 507-513 - Zhiguang Wang, Jianbo Yang:
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation. 514-521 - Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. 522-529 - Yikun Zhang, Yang Liu, Jiming Liu:
Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy. 530-537 - 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. 538-546
Knowledge Extraction from Games
- Richard Gabriel Freedman, Shlomo Zilberstein:
Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games. 547-551 - Nancy Fulda, Daniel Ricks, Ben Murdoch, David Wingate:
Threat, Explore, Barter, Puzzle: A Semantically-Informed Algorithm for Extracting Interaction Modes. 552-556 - Matthew Guzdial, Mark O. Riedl:
Combinatorial Creativity for Procedural Content Generation via Machine Learning. 557-564 - Matthew Molineaux, Dustin Dannenhauer, David W. Aha:
Towards Explainable NPCs: A Relational Exploration Learning Agent. 565-569 - Adam Summerville:
Towards Inductive Logic Programming for Game Analysis: Leda. 570-573 - Emmett Tomai:
Extraction of Interaction Events for Learning Reasonable Behavior in an Open-World Survival Game. 574-580 - John Winder, Marie desJardins:
Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning. 581-585 - Zeping Zhan, Adam M. Smith:
Retrieving Game States with Moment Vectors. 586-592
Plan, Activity, and Intent Recognition
- Roman Barták, Adrien Maillard, Rafael Cauê Cardoso:
Validation of Hierarchical Plans via Parsing of Attribute Grammars. 593-600 - Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. 601-606 - Daniel Höller, Pascal Bercher, Gregor Behnke, Susanne Biundo:
Plan and Goal Recognition as HTN Planning. 607-613 - Yu-Sian Jiang, Garrett Warnell, Peter Stone:
DIPD: Gaze-Based Intention Inference in Dynamic Environments. 614-621 - Reuth Mirsky, Ran Galun, Ya'akov Gal, Gal A. Kaminka:
Comparing Plan Recognition Algorithms through Standard Libraries. 622-629 - Ramon Fraga Pereira, Felipe Meneguzzi:
Goal Recognition in Incomplete STRIPS Domain Models. 630-637 - Mor Vered, Ramon Fraga Pereira, Mauricio Cecilio Magnaguagno, Felipe Meneguzzi, Gal A. Kaminka:
Online Goal Recognition as Reasoning over Landmarks. 638-645 - 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. 646-653
Planning and Inference
- Vaishak Belle:
Probabilistic Planning by Probabilistic Programming. 654-657 - Hao Cui, Roni Khardon:
Lifted Stochastic Planning, Belief Propagation and Marginal MAP. 658-664 - Tarun Gupta, Akshat Kumar, Praveen Paruchuri:
Planning and Learning for Decentralized MDPs with Event Driven Rewards. 665 - Yanlin Han, Piotr J. Gmytrasiewicz:
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs. 666-673 - Junkyu Lee, Alexander Ihler, Rina Dechter:
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. 674-681 - Bo Liu, Ji Liu, Kenan Xiao:
R2PG: Risk-Sensitive and Reliable Policy Gradient. 682-687
Reasoning and Learning for Human-Machine Dialogues
- Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
An Inherently Explainable Model for Video Activity Interpretation. 688-694 - Merav Chkroun, Amos Azaria:
Safebot: A Safe Collaborative Chatbot. 695-698 - Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling. 699-705 - Boris A. Galitsky:
Building Dialogue Structure from Discourse Tree of a Question. 706-712 - Maíra Gatti de Bayser, Melina Alberio Guerra, Paulo R. Cavalin, Claudio S. Pinhanez:
Specifying and Implementing Multi-Party Conversation Rules with Finite-State-Automata. 713-719 - Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio:
Gated Orthogonal Recurrent Units: On Learning to Forget. 720-726 - Sunhwan Lee, Robert J. Moore, Guang-Jie Ren, Raphael Arar, Shun Jiang:
Making Personalized Recommendation through Conversation: Architecture Design and Recommendation Methods. 727-730 - Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat:
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. 731-734 - Svetlana Stoyanchev, Michael Johnston:
Knowledge-Graph Driven Information State Approach to Dialog. 735-738 - Aniruddha Tammewar, Monik Pamecha, Chirag Jain, Apurva Nagvenkar, Krupal Modi:
Production Ready Chatbots: Generate if Not Retrieve. 739-745 - Xuguang Wang, Xingyi Cheng, Jie Zhou, Wei Xu:
State Tracking Networks for Dialog State Tracking. 746-753
Statistical Modeling of Natural Software Corpora
- Timofey Bryksin, Alexey Shpilman, Daniel Kudenko:
Automated Refactoring of Object-Oriented Code Using Clustering Ensembles. 754-757 - Nghi D. Q. Bui, Lingxiao Jiang, Yijun Yu:
Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks. 758-761 - Reihaneh H. Hariri, Erik M. Fredericks:
Towards Traceability Link Recovery for Self-Adaptive Systems. 762-766 - Mitra Bokaei Hosseini, Xue Qin, Jianwei Niu:
Extracting Information Types from Android Layout Code Using Sequence to Sequence Learning. 767-770 - 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. 771-774 - Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. 775-778 - Rahul Pandita, Steven Bucuvalas, Hugolin Bergier, Aleksandar Chakarov, Elizabeth Richards:
Towards J.A.R.V.I.S. for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface. 779-782 - Amirreza Shirani, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio, Mohammad Amin Alipour:
Evaluation of Type Inference with Textual Cues. 783-786 - Alexandre Terrasa, Jean Privat, Guy Tremblay:
Using Natural Language Processing for Documentation Assist. 787-790 - 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? 791-794
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