AAAI

Exploring Common and Individual Characteristics of Students via Matrix Recovering

Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu

Comments 8 pages, 9 figures, Submitted to AAAI 2021

Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance

Katherine Goode, Daniel Ries, Joshua Zollweg

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA., 7 pages, 7 figures

Learning Graph-Based Priors for Generalized Zero-Shot Learning

Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi

Comments Presented at AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA'20)

Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics

Tiago Mota, Mohan Sridharan

Comments 10 pages, 5 figures, AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction (2020)

Is this pofma? Analysing public opinion and misinformation in a COVID-19 Telegram group chat

Lynnette Hui Xian Ng, Loke Jia Yuan

Journal ref Workshop Proceedings of the 14th International AAAI Conference on Web and Social Media 2020

The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems

Mahsan Nourani, Joanie T. King, Eric D. Ragan

Comments Accepted and to appear in the Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2020

Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning

Rushang Karia, Siddharth Srivastava

Comments Submitted to AAAI-21

Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably

Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

Comments This paper is a substantially extended version of our previous work appeared in AAAI'20

Living in the Physics and Machine Learning Interplay for Earth Observation

Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, Jose Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino

Comments 24 pages, 10 figures, 3 tables, expanded AAAI PGAI 2020 Symposium

Gamma-Nets: Generalizing Value Estimation over Timescale

Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski

Comments AAAI 2020

Monitoring Trust in Human-Machine Interactions for Public Sector Applications

Farhana Faruqe, Ryan Watkins, Larry Medsker

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA

Uncertainty Aware Wildfire Management

Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer

Comments Accepted at AI for Social Good Workshop, AAAI Fall Symposium Series 2020

Designing Emergency Response Pipelines : Lessons and Challenges

Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey

Comments Accepted at the AI for Social Good Workshop, AAAI Fall Symposium Series 2020

Knowledge Graph Transfer Network for Few-Shot Recognition

Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin

Comments accepted by AAAI 2020 as oral paper

Towards a Policy-as-a-Service Framework to Enable Compliant, Trustworthy AI and HRI Systems in the Wild

Alexis Morris, Hallie Siegel, Jonathan Kelly

Comments In Proceedings of the AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction (AI-HRI'20)

Equitable Allocation of Healthcare Resources with Fair Cox Models

Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds

Comments AAAI Fall Symposium on AI in Government and Public Sector (AAAI FSS-20), 2020

Fairness for Robust Log Loss Classification

Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian Ziebart

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (2020), Vol 34 No 04: AAAI-20 Technical Tracks 4

Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence

Sean Andrist, Dan Bohus

Comments 5 pages, 1 figure. Submitted to the 2020 AAAI Fall Symposium: Trust and Explainability in Artificial Intelligence for Human-Robot Interaction

MALA: Cross-Domain Dialogue Generation with Action Learning

Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang

Comments Update: Accepted to Proceedings of AAAI 2020

Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper)

Nader Sehatbakhsh, Ellie Daw, Onur Savas, Amin Hassanzadeh, Ian McCulloh

Comments 5 pages

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, Fall Symposium Series (AAAI-FSS); 2019

Helpfulness as a Key Metric of Human-Robot Collaboration

Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein

Comments Accepted for presentation at the AAAI 2020 Fall Symposium Series, in the symposium for Artificial Intelligence for Human-Robot Interaction: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction

Medication Regimen Extraction From Medical Conversations

Sai P. Selvaraj, Sandeep Konam

Comments Proceedings of International Workshop on Health Intelligence (W3PHIAI) of the 34th AAAI Conference on Artificial Intelligence, 2020

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction

Tom Weber, Stefan Wermter

Comments Fall Symposium AAAI 2020

Test-Cost Sensitive Methods for Identifying Nearby Points

Seung Gyu Hyun, Christopher Leung

Comments 8 pages, 5 Figure, Submitted to AAAI 2021

Recovering Causal Structures from Low-Order Conditional Independencies

Marcel Wienöbst, Maciej Liśkiewicz

Journal ref Published in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20) New York, New York USA, pp. 10302-10309, AAAI Press, 2020

Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping

Ceyer Wakilpoor, Patrick J. Martin, Carrie Rebhuhn, Amanda Vu

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA. 8 pages, 6 figures

Improved Subsampled Randomized Hadamard Transform for Linear SVM

Zijian Lei, Liang Lan

Comments AAAI-20

Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi

Comments In Proceedings of the AAAI 2020 (AI for Social Impact Track). Link: https://aaai.org/ojs/index.php/AAAI/article/view/5391

Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation

Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng

Comments Accepted by AAAI 2020

Journal ref AAAI 2020

Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

Comments Accepted by AAAI 2019