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
Aniket Kesari (University of California, Berkeley)*; Alex Fout (Colorado State University); Raesetje B Sefala (University of the Witwatersrand); Joao Caldeira (University of Chicago)
Highlighted Paper Award
Inverse Optimal Power Flow: Assessing the Vulnerability of Power Grid Data
Priya L Donti (Carnegie Mellon University)*; Zico Kolter (Carnegie Mellon University); Inês Azevedo (Carnegie Mellon University)
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching 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)
Inferring Work Task Automatability from AI Expert Evidence Logan Graham (University of Oxford)*; Paul Duckworth (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)
62 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)*; Ben Goertzel (OpenCog); Edward Monroe (Lia, Inc.); Ralf Mayet (Hanson Robotics); Goldie Nejat (University of Toronto); David Hanson (Hanson Robotics); Gino Yu (Hong Kong Polytechnic U)
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) ; Milena Marin (Amnesty International); Julien Cornebise (Element AI)
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning Paulo Orenstein (Stanford)*; Jessica Hwang (Stanford); Karl Pfeiffer (AER); Judah Cohen (AER); Lester Mackey (Microsoft 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)*; Pierre Hornus (Semeia); Pierre Rinder (Semeia); Dorra Kanoun (Pasteur); Clemence Bic (Semeoa)
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); Sowmya Kamath (National Institute of Technology Karnataka, Surathkal); Suhas BS (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); Ran El-Yaniv (Google Research and Technion - Israel Institute of Technology); Avinatan Hasidim (Google); Yossi Matias (); 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)*; Scott Clouse (AFRL); ALPER YILMAZ (Ohio State University, Ohio); Washington Garcia (University of Florida)
Predicting, explaining, and understanding risk of long-term unemployment Inigo Martinez de Rituerto (Data Science for Social Good Europe)*; Ruqian Chen (University of Washington); Laura Moraes (Federal University of Rio de Janeiro); Pranjal Bajaj (Columbia University)
A Longitudinal Evaluation of a Deployed Predictive Model of Fire Risk Jessica Lee (Carnegie Mellon University); Yanwen Lin (Carnegie Mellon University); Michael 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 Kopackova (Czech Geological Survey); Piotr Bilinski (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)*; Adithya Ramanathan (University of Michigan)
Autonomous End-to-End Detection of Northern Leaf Blight Directly from Aerial Imagery Harvey Wu (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)*
Honey Authentication with Machine Learning Augmented Bright-Field Microscopy Peter A He (Imperial College London)*