Accepted Short Papers

Oral Presentation

Paper ID Paper Title Author Names
Best Paper Award
Machine Learning-Based Screening for Fetal Alcohol Spectrum Disorder
Chen Zhang (University of Southern California); Laurent Itti (University of Southern California); Po-He Tseng (Duke University); Angelina Paolozza (Queen's University); James N. Reynolds (Queen's University); Douglas P. Munoz (Queen's University)
Highlighted Paper Award
Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia
João Caldeira (University of Chicago), Alex Fout (Colorado State University), Aniket Kesar (University of California, Berkeley), Raesetje Sefala (University of the Witwatersrand), Joseph Walsh (University of Chicago), Katy Dupre (University of Chicago), Muhammad Rizal Khaef (Pulse Lab Jakarta), Setiaji (Jakarta Smart City), George Hodge (Pulse Lab Jakarta), Zakiya Aryana Pramestri (Pulse Lab Jakarta), Muhammad Adib Imtiyazi (Jakarta Smart City)
Highlighted Paper Award
Inverse Optimal Power Flow: Assessing the Vulnerability of Power Grid Data
Priya L. Donti (Carnegie Mellon University), Ines Lima Azevedo (Carnegie Mellon University), J. Zico Kolter (Carnegie Mellon University)
Wildlife Poaching Prediction with Data and Human Knowledge Swaminathan Gurumurthy (Carnegie Mellon University); Lantao Yu (Shanghai Jiao Tong University); Chenyan Zhang (Southeast University); Yongchao Jin (World Wild Fund for Nature, China); Weiping Li (World Wild Fund for Nature, China); Xiaodong Zhang (Huang Ni He Forest Bureau); Fei Fang (Carnegie Mellon University)
Inferring Work Task Automatability from AI Expert Evidence Paul Duckworth (University of Oxford), Logan Graham (University of Oxford), Michael A. Osborne (University of Oxford)

Rural Infrastructure Health Monitoring System: Using AI to Increase Rural Water Supply Reliability Heloise Greeff (University of Oxford); Achut Manandhar (University of Oxford); Patrick Tomson (University of Oxford); Rob Hope (University of Oxford); David Clifton (University of Oxford)
Enabling better pregnancy monitoring: The case of point-of-care diagnosis in fetal echocardiography Arijit Patra (University of Oxford)

Poster Presentation

Best Poster Award
The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors
Nicole O'Brien (MIT); Sophia Latessa (MIT); Georgios Evangelopoulos (MIT); Xavier Boix (MIT)
Emotionally-Sensitive AI-driven Android Interactions Improve Social Welfare Through Helping People Access Self-Transcendent States Julia Mossbridge (Northwestern University), Benjamin Goertzel (Hanson Robotics), Ralf Mayet (Hanson Robotics), Edward Monroe (Lia, Inc.), Goldie Nejat (University of Toronto), David Hanson (Hanson Robotics), Gino Yu (Hong Kong Polytechnic)
A large-scale crowd-sourced analysis of abuse against women journalists and politicians on Twitter Laure Delisle (Element AI), Alfredo Kalaitzis (Element AI), Krzysztof Majewski (Element AI), Archy de Berker (Element AI), Milena Marin (Amnesty International), Julien Cornebise (Element AI)
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning Jessica Hwang (Stanford University), Paulo Orenstein (Stanford University), Karl Pfeiffer (Atmospheric and Environmental Research), Judah Cohen (Atmospheric and Environmental Research)
From Satellite Imagery to Disaster Insights Jigar Doshi (CrowdAI); Saikat Basu (Facebook); Guan Pang (Facebook)
AI for Patient Support: Predictive Model of Medication Non-Adherence Thomas Janssoone (Semeia); Clemence Bic (Semeoa); Dorra Kanoun (Pasteur); Pierre Rinder (Semeia); Pierre Hornus (Semeia)
A Complementary Approach to Improve Wild Fire Prediction Systems Sriram Ganapathi Subramanian (University of Waterloo ); Mark Crowley (University of Waterloo)
AI Neurotechnology for Aging Societies – Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods – Tomasz M Rutkowski (RIKEN AIP); Qibin Zhao (RIKEN AIP); Masato S Abe (RIKEN AIP); Mihoko Otake (RIKEN AIP)

Multimodal Medical Image Retrieval based on Latent Topic Modeling Mandikal M Vikram (National Institute of Technology Karnataka, Surathkal); Aditya Anantharaman (National Institute of Technology Karnataka, Surathkal); Suhas BS (National Institute of Technology Karnataka, Surathkal); Sowmya Kamath S. (National Institute of Technology Karnataka, Surathkal)
DeepSolar: A Machine Learning Framework to Efficiently Construct Solar Deployment Database in the United States Jiafan Yu (Stanford University); Zhecheng Wang (Stanford University); Arun Majumdar (Stanford University); Ram Rajagopal (Stanford University)
Witnessing atrocities: quantifying villages destruction in Darfur with crowdsourcing and transfer learning Julien Cornebise (Element AI); Daniel Worrall (University of Amseterdam); Micah Farfour (Amnesty Internaltional); Milena Marin (Amnesty International)
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many Yotam Gigi (Google Research and The Hebrew University of Jerusalem, Israel); Gal Elidan(Google Research and The Hebrew University of Jerusalem, Israel); Avinatan Hassidim (Google Research and Bar-Ilan University); Yossi Matias (Google Research); Zach Moshe (Google Research); Sella Nevo (Google Research); Guy Shalev (Google Research); Ami Wiesel (Google Research and The Hebrew University of Jerusalem, Israel)
Minority report detection in refugee authored community-driven journalism using RBMs Bogdana Rakova (Samsung Research America); Nick DePalma (Samsung Research America)
A Multitask Learning Encoder-Decoders Framework for Generating Movie and Video Captioning Oliver A Nina (Ohio State University); Washington Garcia (University of Florida); Scott Clouse (AFRL); Alper Yilmaz (Ohio State University, Ohio)
Predicting, explaining, and understanding risk of long-term unemployment Íñigo Martínez de Rituerto de Troya (University of Nova de Lisboa); Ruqian Chen (University of Washington); Laura O. Moraes (Federal University of Rio de Janeiro); Pranjal Bajaj (Columbia University); Jordan Kupersmith (University of California, Berkeley); Rayid Ghani (University of Chicago); Nuno B. Brás (Instituto de Telecomunicacoes); Leid Zejnilovic (Universidade Nova de Lisboa)
A Longitudinal Evaluation of a Deployed Predictive Model of Fire Risk Jessica Lee (Carnegie Mellon University); Yanwen Lin (Carnegie Mellon University); Michael A. Madaio (Carnegie Mellon University)
Rapid Computer Vision-aided Disaster Response via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery Tim G. J. Rudner (University of Oxford); Marc Rußwurm (Technical University of Munich); Jakub Fil (University of Kent); Ramona Pelich (Luxembourg Institute of Science and Technology); Benjamin Bischke (DFKI GmbH); Veronika Kopačková (Czech Geological Survey); Piotr Biliński (University of Oxford)
Smarter micro-targeting to improve global health outcomes: scaling cluster segmentation on novel types of data for precision public health Elisabeth Engl (Surgo Foundation); Sema K Sgaier (Surgo Foundation)
A Scalable, Flexible Augmentation of the Student Education Process Bhairav J Mehta (Mila, University of Montreal); Adithya Ramanathan (University of Michigan)
Autonomous End-to-end Detection of Northern Leaf Blight directly from Aerial Imagery Harvey Wu (Columbia University); Tyr Wiesner-Hanks (Cornell University); Ethan L. Stewart (Cornell University); Chad DeChant (Cornell University); Michael A. Gore (Cornell University); Rebecca J. Nelson (Cornell University); Hod Lipson (Columbia University)
Next Hit Predictor - Self-exciting Risk Modeling for Predicting Next Locations of Serial Crimes Yunyi Li (University of Iowa); Tong Wang (University of Iowa)
Towards a Sustainable Food Supply ChainPowered by Artificial Intelligence Volodymyr Kuleshov (Stanford University); Nathan Fenner (Afresh Technologies); Matthew Schwartz (Afresh Technologies)
Honey Authentication with Machine Learning Augmented Bright-Field Microscopy Peter He (Imperial College London); Alexis Gkantiragas (University College London); Gerard Glowacki (Hampton Court House)