AAAI

On Automating Conversations

Ting-Hao 'Kenneth' Huang

Comments An invited position paper at the "Artificial Intelligence and Work: AAAI 2019 Fall Symposium" (AAAI-FSS 2019), Washington, DC, November 7-9, 2019

Automated Text Summarization for the Enhancement of Public Services

Xingbang Liu, Janyl Jumadinova

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status

Patricia Simon, Suchitra Krishnan-Sarin, Ting-Hao 'Kenneth' Huang

Comments Selected for round-table discussion in Artificial Intelligence and Work: AAAI 2019 Fall Symposium (AAAI FSS 2019)

Explainable AI for Intelligence Augmentation in Multi-Domain Operations

Alun Preece, Dave Braines, Federico Cerutti, Tien Pham

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Adversarial Framing for Image and Video Classification

Konrad Zolna, Michal Zajac, Negar Rostamzadeh, Pedro O. Pinheiro

Comments This is an extended version of the paper published at 33rd AAAI Conference on Artificial Intelligence (see https://doi.org/10.1609/aaai.v33i01.330110077 )

Challenges of Human-Aware AI Systems

Subbarao Kambhampati

Comments To appear in AI Magazine (Written version of AAAI 2018 Presidential Address. Video and slides at http://bit.ly/2tHyzAh )

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks

Xujiang Zhao, Yuzhe Ou, Lance Kaplan, Feng Chen, Jin-Hee Cho

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Federated Learning for Coalition Operations

D. Verma, S. Calo, S. Witherspoon, E. Bertino, A. Abu Jabal, A. Swami, G. Cirincione, S. Julier, G. White, G. de Mel, G. Pearson

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Using AI/ML to gain situational understanding from passive network observations

D. Verma, S. Calo

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector

Grace A. Lewis, Stephany Bellomo, April Galyardt

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Hindsight Analysis of the Chicago Food Inspection Forecasting Model

Vinesh Kannan, Matthew A. Shapiro, Mustafa Bilgic

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents

Gheorghe Tecuci, Dorin Marcu, Mihai Boicu, Steven Meckl, Chirag Uttamsingh

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA. (8 pages)

Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development

Carol J. Smith

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

TraffickCam: Explainable Image Matching For Sex Trafficking Investigations

Abby Stylianou, Richard Souvenir, Robert Pless

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Application of Machine Learning in Forecasting International Trade Trends

Feras Batarseh, Munisamy Gopinath, Ganesh Nalluru, Jayson Beckman

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Artificial Intelligence: Powering Human Exploration of the Moon and Mars

Jeremy D. Frank

Comments Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

Comments Under review of AAAI 2020

Requirements for Developing Robust Neural Networks

John S. Hyatt, Michael S. Lee

Comments 4 pages. Presented at AAAI FSS-19: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA

"And We Will Fight For Our Race!" A Measurement Study of Genetic Testing Conversations on Reddit and 4chan

Alexandros Mittos, Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro

Comments This is the full version of the paper, with same title, appearing in the 14th AAAI Conference on Web and Social Media (ICWSM 2020). Please cite the ICWSM version

Frame and Feature-Context Video Super-Resolution

Bo Yan, Chuming Lin, Weimin Tan

Comments Accepted by AAAI 2019

Higher-Dimensional Potential Heuristics for Optimal Classical Planning

Florian Pommerening, Malte Helmert, Blai Bonet

Comments Proceedings AAAI-17

Action Selection for MDPs: Anytime AO* vs. UCT

Blai Bonet, Hector Geffner

Comments Proceedings AAAI-12

An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs

Qiaoning Zhang, Connor Esterwood, X. Jessie Yang, Lionel P. Robert

Comments 4 pages, 2 figures, 2019 AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction

WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series

Michael Poli, Jinkyoo Park, Ilija Ilievski

Comments Submitted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 20)

3D Object Detection Using Scale Invariant and Feature Reweighting Networks

Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

Comments The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)

Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators

Ethan Fahnestock, Siddharth Patki, Thomas M. Howard

Comments Presented at AI-HRI AAAI-FSS, 2019

Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval

Arijit Ray, Yi Yao, Rakesh Kumar, Ajay Divakaran, Giedrius Burachas

Comments 2019 AAAI Conference on Human Computation and Crowdsourcing

Journal ref 2019 AAAI Conference on Human Computation and Crowdsourcing

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

Mark Kozdoba, Jakub Marecek, Tigran Tchrakian, Shie Mannor

Journal ref Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019. Pages: 4098-4105

An Efficient Approach to Informative Feature Extraction from Multimodal Data

Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

Comments accepted to AAAI 2019, 8 pages; typos corrected

Adversarial Vulnerability Bounds for Gaussian Process Classification

Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A Alvarez

Comments 10 pages + 2 pages references + 7 pages of supplementary. 12 figures. Submitted to AAAI