AAAI

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets

Ziqiang Cheng, Yang Yang, Wei Wang, Wenjie Hu, Yueting Zhuang, Guojie Song

Comments An extended version with 11 pages including appendix; Accepted by AAAI'2020

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

Abdullah Hamdi, Matthias Müller, Bernard Ghanem

Comments Accepted at AAAI'20

Journal ref AAAI 2020

Learning a Deep Generative Model like a Program: the Free Category Prior

Eli Sennesh

Journal ref AAAI Symposium on Conceptual Abstraction and Analogy in Natural and Artificial Intelligence, Fall 2020

Limitations of Incentive Compatibility on Discrete Type Spaces

Taylor Lundy, Hu Fu

Comments 11 pages, 2 figures, to be published in Thirty-Fourth AAAI Conference on Artificial Intelligence

Tale of tails using rule augmented sequence labeling for event extraction

Ayush Maheshwari, Hrishikesh Patel, Nandan Rathod, Ritesh Kumar, Ganesh Ramakrishnan, Pushpak Bhattacharyya

Comments 9 pages, 4 figures, 6 tables

Journal ref StarAI Workshop at AAAI 2020

Data Representing Ground-Truth Explanations to Evaluate XAI Methods

Shideh Shams Amiri, Rosina O. Weber, Prateek Goel, Owen Brooks, Archer Gandley, Brian Kitchell, Aaron Zehm

Comments Submitted to the AAAI 2021 Explainable Agency in Artificial Intelligence Workshop, 6 pages, 3 figures and 2 tables

Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks

Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes

Comments To appear at AAAI 2021 Student Abstract

Query Expressibility and Verification in Ontology-Based Data Access

Carsten Lutz, Johannes Marti, Leif Sabellek

Journal ref Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, KR 2018, Tempe, Arizona, 30 October - 2 November 2018, pages 389--398, AAAI Press, 2018

Answering Regular Path Queries Over SQ Ontologies

Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Jean Christoph Jung

Comments Full Version of AAAI'18 paper

Object Detection based on Region Decomposition and Assembly

Seung-Hwan Bae

Comments Accepted to 2019 AAAI Conference on Artificial Intelligence (AAAI)

Attention Beam: An Image Captioning Approach

Anubhav Shrimal, Tanmoy Chakraborty

Comments 5 pages, 6 figures, 1 table, in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21) Student Abstract

Two-Sided Fairness in Non-Personalised Recommendations

Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K Patro

Comments Accepted in AAAI 2021 Student Abstract and Poster Program

Steps Towards Value-Aligned Systems

Osonde A. Osoba, Benjamin Boudreaux, Douglas Yeung

Comments Original version appeared in Proceedings of the 2020 AAAI ACM Conference on AI, Ethics, and Society (AIES '20), February 7-8, 2020, New York, NY, USA. 5 pages, 2 figures. Corrected some typos in this version

Reducing Neural Network Parameter Initialization Into an SMT Problem

Mohamad H. Danesh

Comments AAAI-21 SA Program

An Experimentation Platform for Explainable Coalition Situational Understanding

Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun Preece, Tianwei Xing, Luis Garcia, Mani Srivastava, Dave Braines

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

Face-work for Human-Agent Joint Decision-Making

JiHyun Jeong, Guy Hoffman

Comments In Proceedings of the AAAI 2020 Fall Symposium Series on Trust and Explainability in Artificial Intelligence for Human-Robot Interaction

Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability

Zhao Han, Alexander Wilkinson, Jenna Parrillo, Jordan Allspaw, Holly A. Yanco

Comments 5 pagers, 4 figures, the AI-HRI Symposium at AAAI-FSS 2020 (Proceedings: arXiv:2010.13830)

Journal ref Proceedings of the AI-HRI Symposium at AAAI-FSS 2020, 2020

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach

Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

Comments corrected typos. arXiv admin note: text overlap with arXiv:2009.05700

Journal ref The Thirty-Fourth AAAI Conference on Artificial Intelligence AAAI, 2020

FLAP -- A Federated Learning Framework for Attribute-based Access Control Policies

Amani Abu Jabal, Elisa Bertino, Jorge Lobo, Dinesh Verma, Seraphin Calo, Alessandra Russo

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

Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface

Zhao Han, Jordan Allspaw, Adam Norton, Holly A. Yanco

Comments 11 pages, 3 figures, the AI-HRI Symposium at AAAI-FSS 2019

Journal ref Proceedings of the AI-HRI Symposium at AAAI-FSS 2019, 2019

Adapting Language Models for Non-Parallel Author-Stylized Rewriting

Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma

Comments Accepted for publication in Main Technical Track at AAAI 20

Panel: Economic Policy and Governance during Pandemics using AI

Feras A. Batarseh, Munisamy Gopinath

Comments Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector (virtual)

Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data

Boyo Chen, Buo-Fu Chen, Yun-Nung Chen

Comments under review of AAAI 2021

COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data

Parth Asawa, Manas Gaur, Kaushik Roy, Amit Sheth

Comments 8 pages, 8 figures, 2 tables, accepted at AAAI Fall 2020 AI for Social Good Symposium

Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges

Clément Moulin-Frier, Pierre-Yves Oudeyer

Journal ref Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL AAAI 2020-2021), AAAI Spring Symposium Series, Stanford University, Palo Alto, California, USA

On synthetic data generation for anomaly detection in complex social networks

Andreea Sistrunk, Vanessa Cedeno, Subhodip Biswas

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

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition

Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang

Comments aaai 2021 demo paper

Multi-scale Anomaly Detection on Attributed Networks

Leonardo Gutiérrez-Gómez, Alexandre Bovet, Jean-Charles Delvenne

Comments Accepted paper at the 34th AAAI Conference on Artificial Intelligence (AAAI-20), New York, US. 8 pages, 5 figures

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training

Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Ju Lu

Comments Published in Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020. arXiv admin note: text overlap with arXiv:2008.04751

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams

Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani Srivastava, Lance Kaplan Alun Preece, Gavin Pearson

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