Drug similarity integration through attentive multi-view graph auto-encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou, and Fei Wang · 2018
Later among the works it cites.
Group sparse bayesian learning for active surveillance on epidemic dynamics
Hongbin Pei, Bo Yang, Jiming Liu, and Lei Dong · 2018
Later among the works it cites.
Estimating glaucomatous visual sensitivity from retinal thickness with pattern-based regularization and visualization
Hiroki Sugiura, Taichi Kiwaki, Siamak Yousefi, Hiroshi Murata, Ryo Asaoka, and Kenji Yamanishi · 2018
Later among the works it cites.
Deep-treat: Learning optimal personalized treatments from observational data using neural networks
Onur Atan, James Jordon, and Mihaela van der Schaar · 2018
Later among the works it cites.
Pairwise-ranking based collaborative recurrent neural networks for clinical event prediction
Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, and Fei Wang · 2018
Later among the works it cites.
Learning differences between visual scanning patterns can disambiguate bipolar and unipolar patients
Jonathan Chung, Moshe Eizenman, Uros Rakita, Roger McIntyre, and Peter Giacobbe · 2018
Later among the works it cites.
Cross-domain depression detection via harvesting social media
Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, and Wendy Hall · 2018
Later among the works it cites.
Machine-learned epidemiology: real-time detection of foodborne illness at scale
Adam Sadilek, Stephanie Caty, Lauren DiPrete, Raed Mansour, Tom Schenk, Mark Bergtholdt, Ashish Jha, Prem Ramaswami, and Evgeniy Gabrilovich · 2018
Later among the works it cites.
Inferring metapopulation propagation network for intra-city epidemic control and prevention
Jingyuan Wang, Xiaojian Wang, and Junjie Wu · 2018
Later among the works it cites.
Preventing infectious disease in dynamic populations under uncertainty
Bryan Wilder, Sze-Chuan Suen, and Milind Tambe · 2018
Later among the works it cites.
Artificial intelligence in healthcare
Kun-Hsing Yu, Andrew L Beam, and Isaac S Kohane · 2018
Later among the works it cites.
Neural user response generator: Fake news detection with collective user intelligence
Feng Qian, Chengyue Gong, Karishma Sharma, and Yan Liu · 2018
Later among the works it cites.
Automatic detection of fake news
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, and Rada Mihalcea · 2018
Later among the works it cites.
Learning to explain ambiguous headlines of online news
Tianyu Liu, Wei Wei, and Xiaojun Wan · 2018
Later among the works it cites.
The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer · 2018
Later among the works it cites.
Cd-cnn: a partially supervised cross-domain deep learning model for urban resident recognition
Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, and Zhang Xiong · 2018
Later among the works it cites.
Discovering latent patterns of urban cultural interactions in wechat for modern city planning
Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, and Zhongxiang Zhao · 2018
Later among the works it cites.
Exploring the urban region-of-interest through the analysis of online map search queries
Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, and Qing He · 2018
Later among the works it cites.
Using machine learning to assess the risk of and prevent water main breaks
Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R Ali Vanderveld, Kevin H Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, et al · 2018
Later among the works it cites.
A machine learning approach to modeling human migration
Caleb Robinson and Bistra Dilkina · 2018
Later among the works it cites.
Pittgrub: A frustration-free system to reduce food waste by notifying hungry college students
Mark Silvis, Anthony Sicilia, and Alexandros Labrinidis · 2018
Later among the works it cites.
Dispatch guided allocation optimization for effective emergency response
Supriyo Ghosh and Pradeep Varakantham · 2018
Later among the works it cites.
Discriminative semi-coupled projective dictionary learning for low-resolution person re-identification
Kai Li, Zhengming Ding, Sheng Li, and Yun Fu · 2018
Later among the works it cites.
Video-based person re-identification via self paced weighting
Wenjun Huang, Chao Liang, Yi Yu, Zheng Wang, Weijian Ruan, and Ruimin Hu · 2018
Later among the works it cites.
Periodic-crn: A convolutional recurrent model for crowd density prediction with recurring periodic patterns
Ali Zonoozi, Jung-jae Kim, Xiao-Li Li, and Gao Cong · 2018
Later among the works it cites.
Catching captain jack: Efficient time and space dependent patrols to combat oil-siphoning in international waters
Xinrun Wang, Bo An, Martin Strobel, and Fookwai Kong · 2018
Later among the works it cites.
Du-parking: Spatio-temporal big data tells you realtime parking availability
Yuecheng Rong, Zhimian Xu, Ruibo Yan, and Xu Ma · 2018
Later among the works it cites.
When will you arrive? estimating travel time based on deep neural networks
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, and Yu Zheng · 2018
Later among the works it cites.
Spatio-temporal graph convolutional networks: a deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2018
Later among the works it cites.
Fast vehicle identification via ranked semantic sampling based embedding
Feng Zheng, Xin Miao, and Heng Huang · 2018
Later among the works it cites.
Real-time traffic pattern analysis and inference with sparse video surveillance information
Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, and Hengchang Liu · 2018
Later among the works it cites.
Deeptravel: a neural network based travel time estimation model with auxiliary supervision
Hanyuan Zhang, Hao Wu, Weiwei Sun, and Baihua Zheng · 2018
Later among the works it cites.
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads
Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, and Anand Sivasubramaniam · 2018
Later among the works it cites.
Dynamic bike reposition: A spatio-temporal reinforcement learning approach
Yexin Li, Yu Zheng, and Qiang Yang · 2018
Later among the works it cites.
Efficient large-scale fleet management via multi-agent deep reinforcement learning
Kaixiang Lin, Renyu Zhao, Zhe Xu, and Jiayu Zhou · 2018
Later among the works it cites.
Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach
Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, and Jieping Ye · 2018
Later among the works it cites.
Bike angels: An analysis of citi bike’s incentive program
Hangil Chung, Daniel Freund, and David B Shmoys · 2018
Later among the works it cites.
Big data analytics in intelligent transportation systems: A survey
Li Zhu, Fei Richard Yu, Yige Wang, Bin Ning, and Tao Tang · 2018
Later among the works it cites.
Automatic opioid user detection from twitter: Transductive ensemble built on different meta-graph based similarities over heterogeneous information network
Yujie Fan, Yiming Zhang, Yanfang Ye, and Xin Li · 2018
Later among the works it cites.
Designing the game to play: optimizing payoff structure in security games
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, and Fei Fang · 2018
Later among the works it cites.
Stackelberg security games: Looking beyond a decade of success
Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, and Milind Tambe · 2018
Later among the works it cites.
Differentially private generative adversarial network
Original
Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, and Jiayu Zhou · 2018
Later among the works it cites.
Machine learning meets public policy: What to expect and how to cope
Edward W. Felten · 2018
Later among the works it cites.
Gmail smart compose: Real-time assisted writing
Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, and et al · 2019
Later among the works it cites.
Ai for the common good?! pitfalls, challenges, and ethics pen-testing
Bettina Berendt · 2019
Later among the works it cites.
Designing ai for social good: Seven essential factors
Josh Cowls, Thomas C King, Mariarosaria Taddeo, and Luciano Floridi · 2019
Later among the works it cites.
https://www.deepnude.com/
DeepNude, 2019 · 2019
Later among the works it cites.
Read, attend and comment: A deep architecture for automatic news comment generation
Ze Yang, Can Xu, Wei Wu, and Zhoujun Li · 2019
Later among the works it cites.
A survey on bias and fairness in machine learning
Original
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan · 2019
Later among the works it cites.
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
M. Kearns and A. Roth · 2019
Later among the works it cites.
Ai now 2019 report
Kate Crawford, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Erin McElroy, Andrea Nill Sánchez, Deborah Raji, Joy Lisi Rankin, Rashida Richardson, Jason Schultz, Sarah Myers West, and Meredith Whittaker · 2019
Later among the works it cites.
Ai for good framework and guide, 2019
NetHope · 2019
Later among the works it cites.
An interpretable produce price forecasting system for small and marginal farmers in india using collaborative filtering and adaptive nearest neighbors
Wei Ma, Kendall Nowocin, Niraj Marathe, and George H Chen · 2019
Later among the works it cites.
Low-cost aerial imaging for small holder farmers
Aditya Jain, Zerina Kapetanovic, Akshit Kumar, Vasuki Narasimha Swamy, Rohit Patil, Deepak Vasisht, Rahul Sharma, Manohar Swaminathan, Ranveer Chandra, Anirudh Badam, Gireeja Ranade, Sudipta N. Sinha, and Akshay Uttama Nambi · 2019
Later among the works it cites.
A semantics-based model for predicting children’s vocabulary
Ishaan Grover, Hae Won Park, and Cynthia Breazeal · 2019
Later among the works it cites.
Inferring concept prerequisite relations from online educational resources
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, and Vaibhav Rajan · 2019
Later among the works it cites.
erevise: Using natural language processing to provide formative feedback on text evidence usage in student writing
Haoran Zhang, Ahmed Magooda, Diane Litman, Richard Correnti, Elaine Wang, LC Matsmura, Emily Howe, and Rafael Quintana · 2019
Later among the works it cites.
Deep reinforcement learning for syntactic error repair in student programs
Rahul Gupta, Aditya Kanade, and Shirish Shevade · 2019
Later among the works it cites.
Zero shot learning for code education: Rubric sampling with deep learning inference
Mike Wu, Milan Mosse, Noah Goodman, and Chris Piech · 2019
Later among the works it cites.
Knowledge tracing machines: Factorization machines for knowledge tracing
Jill-Jênn Vie and Hisashi Kashima · 2019
Later among the works it cites.
A model-free affective reinforcement learning approach to personalization of an autonomous social robot companion for early literacy education
Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Gomez, and Cynthia Breazeal · 2019
Later among the works it cites.
A preliminary report of integrating science and computing teaching using logic programming
Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G Murray, and Wendy Staffen · 2019
Later among the works it cites.
A study of educational data mining: Evidence from a thai university
Ruangsak Trakunphutthirak, Yen Cheung, and Vincent CS Lee · 2019
Later among the works it cites.
Safe contextual bayesian optimization for sustainable room temperature pid control tuning
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, and Andreas Krause · 2019
Later among the works it cites.
Automatic detection and compression for passive acoustic monitoring of the african forest elephant
Johan Bjorck, Brendan H. Rappazzo, Di Chen, Richard Bernstein, Peter H. Wrege, and Carla P. Gomes · 2019
Later among the works it cites.
Interpretable predictive modeling for climate variables with weighted lasso
Sijie He, Xinyan Li, Vidyashankar Sivakumar, and Arindam Banerjee · 2019
Later among the works it cites.
Forecasting intra-hour imbalances in electric power systems
Tárik S Salem, Karan Kathuria, Heri Ramampiaro, and Helge Langseth · 2019
Later among the works it cites.
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y Berger-Wolf, Daniel I Rubenstein, Charles V Stewart, Jason A Holmberg, Jason Parham, Sreejith Menon, Jonathan Crall, Jon Van Oast, Emre Kiciman, and Lucas Joppa · 2019
Later among the works it cites.
Exploiting time-series image-to-image translation to expand the range of wildlife habitat analysis
Ruobing Zheng, Ze Luo, and Baoping Yan · 2019
Later among the works it cites.
Systematic conservation planning for sustainable land-use policies: A constrained partitioning approach to reserve selection and design
Dimitri Justeau-Allaire, Philippe Vismara, Philippe Birnbaum, and Xavier Lorca · 2019
Later among the works it cites.
Stay ahead of poachers: Illegal wildlife poaching prediction and patrol planning under uncertainty with field test evaluations
Original
Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, et al · 2019
Later among the works it cites.
Don’t put all your strategies in one basket: Playing green security games with imperfect prior knowledge
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, and Milind Tambe · 2019
Later among the works it cites.
Computational sustainability: Computing for a better world and a sustainable future
Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Fern, Daniel Fink, Douglas Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John Gregoire, John Hopcroft, Steve Kelling, Zico Kolter, Warren Powell, Nicole Sintov, John Selker, Bart Selman, Daniel Sheldon, David Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, and Mary Lou Zeeman · 2019
Later among the works it cites.
Weakly-supervised simultaneous evidence identification and segmentation for automated glaucoma diagnosis
Rongchang Zhao, Wangmin Liao, Zailiang Chen, and Shuo Li · 2019
Later among the works it cites.
Ddl: Deep dictionary learning for predictive phenotyping
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, and Jimeng Sun · 2019
Later among the works it cites.
Functional connectivity network analysis with discriminative hub detection for brain disease identification
Mingliang Wang, Jiashuang Huang, Mingxia Liu, and Daoqiang Zhang · 2019
Later among the works it cites.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
Later among the works it cites.
Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation
Cheng Chen, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng · 2019
Later among the works it cites.
Mina: Multilevel knowledge-guided attention for modeling electrocardiography signals
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, and Jimeng Sun · 2019
Later among the works it cites.
Pgans: Personalized generative adversarial networks for ecg synthesis to improve patient-specific deep ecg classification
Tomer Golany and Kira Radinsky · 2019
Later among the works it cites.
K-margin-based residual-convolution-recurrent neural network for atrial fibrillation detection
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, and Junqing Xie · 2019
Later among the works it cites.
Feature isolation for hypothesis testing in retinal imaging: an ischemic stroke prediction case study
Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel SW Ting, Tien Yin Wong, Mong Li Lee, and Wynne Hsu · 2019
Later among the works it cites.
Weakly-supervised simultaneous evidence identification and segmentation for automated glaucoma diagnosis
Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, and Shuo Li · 2019
Later among the works it cites.
Pathological evidence exploration in deep retinal image diagnosis
Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, and Tingting Cheng · 2019
Later among the works it cites.
A severity score for retinopathy of prematurity
Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F Chiang, Jennifer Dy, Deniz Erdogmus, and Stratis Ioannidis · 2019
Later among the works it cites.
G2c: a generator-to-classifier framework integrating multi-stained visual cues for pathological glomerulus classification
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, and Guangyu Sun · 2019
Later among the works it cites.
Pre-training of graph augmented transformers for medication recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao, and Jimeng Sun · 2019
Later among the works it cites.
Counterfactual regression with importance sampling weights
Negar Hassanpour and Russell Greiner · 2019
Later among the works it cites.
Mnn: multimodal attentional neural networks for diagnosis prediction
Zhi Qiao, Xian Wu, Shen Ge, and Wei Fan · 2019
Later among the works it cites.
Emergency department online patient-caregiver scheduling
Hanan Rosemarin, Ariel Rosenfeld, and Sarit Kraus · 2019
Later among the works it cites.
Separating wheat from chaff: Joining biomedical knowledge and patient data for repurposing medications
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, and Kira Radinsky · 2019
Later among the works it cites.
Learning sleep quality from daily logs
Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, and Meeyoung Cha · 2019
Later among the works it cites.
Daytime sleepiness level prediction using respiratory information
Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi, and Hirotaka Kaji · 2019
Later among the works it cites.
Adversarial unsupervised representation learning for activity time-series
Karan Aggarwal, Shafiq Joty, Luis Fernandez-Luque, and Jaideep Srivastava · 2019
Later among the works it cites.
Epideep: Exploiting embeddings for epidemic forecasting
Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, and B Aditya Prakash · 2019
Later among the works it cites.
Defsi: Deep learning based epidemic forecasting with synthetic information
Lijing Wang, Jiangzhuo Chen, and Madhav Marathe · 2019
Later among the works it cites.
Learning to prescribe interventions for tuberculosis patients using digital adherence data
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, and Milind Tambe · 2019
Later among the works it cites.
Link prediction with signed latent factors in signed social networks
Pinghua Xu, Wenbin Hu, Jia Wu, and Bo Du · 2019
Later among the works it cites.
Who blames whom in a crisis? detecting blame ties from news articles using neural networks
Shuailong Liang, Olivia Nicol, and Yue Zhang · 2019
Later among the works it cites.
Coverage centrality maximization in undirected networks
Gianlorenzo D’Angelo, Martin Olsen, and Lorenzo Severini · 2019
Later among the works it cites.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi · 2019
Later among the works it cites.
Detecting incongruity between news headline and body text via a deep hierarchical encoder
Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, and Kyomin Jung · 2019
Later among the works it cites.
Mvan: Multi-view attention networks for real money trading detection in online games
Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, and Peng Cui · 2019
Later among the works it cites.
Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, and Yuan Qi · 2019
Later among the works it cites.
Discovering temporal patterns from insurance interaction data
Maleeha Qazi, Srinivas Tunuguntla, Peng Lee, Teja Kanchinadam, Glenn Fung, and Neeraj Arora · 2019
Later among the works it cites.
Allocating interventions based on predicted outcomes: A case study on homelessness services
Amanda Kube, Sanmay Das, and Patrick J. Fowler · 2019
Later among the works it cites.
Using machine learning to help vulnerable tenants in new york city
Teng Ye, Rebecca Johnson, Samantha Fu, Jerica Copeny, Bridgit Donnelly, Alex Freeman, Mirian Lima, Joe Walsh, and Rayid Ghani · 2019
Later among the works it cites.
Firecast: leveraging deep learning to predict wildfire spread
David Radke, Anna Hessler, and Dan Ellsworth · 2019
Later among the works it cites.
Modeling extreme events in time series prediction
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, and Xiangnan He · 2019
Later among the works it cites.
Multi3net: segmenting flooded buildings via fusion of multiresolution, multisensor, and multitemporal satellite imagery
Tim GJ Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopačková, and Piotr Biliński · 2019
Later among the works it cites.
How a feel-good ai story went wrong in flint
Alexis C Madrigal · 2019
Later among the works it cites.
Improving law enforcement daily deployment through machine learning-informed optimization under uncertainty
Jonathan Chase, Duc Thien Nguyen, Haiyang Sun, and Hoong Chuin Lau · 2019
Later among the works it cites.
Hotels-50k: A global hotel recognition dataset, 2019
Abby Stylianou, Hong Xuan, Maya Shende, Jonathan Brandt, Richard Souvenir, and Robert Pless · 2019
Later among the works it cites.
Deepstn+: Context-aware spatial-temporal neural network for crowd flow prediction in metropolis
Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, and Depeng Jin · 2019
Later among the works it cites.
Optimal interdiction of urban criminals with the aid of real-time information
Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, and Nicholas R. Jennings · 2019
Later among the works it cites.
Joint representation learning for multi-modal transportation recommendation
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, and Hui Xiong · 2019
Later among the works it cites.
A decomposition approach for urban anomaly detection across spatiotemporal data
Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, and Pan Hui · 2019
Later among the works it cites.
Traffic updates: Saying a lot while revealing a little
John Krumm and Eric Horvitz · 2019
Later among the works it cites.
Gated residual recurrent graph neural networks for traffic prediction
Cen Chen, Kenli Li, Sin G Teo, Xiaofeng Zou, Kang Wang, Jie Wang, and Zeng Zeng · 2019
Later among the works it cites.
Dynamic spatial-temporal graph convolutional neural networks for traffic forecasting
Zulong Diao, Xin Wang, Dafang Zhang, Yingru Liu, Kun Xie, and Shaoyao He · 2019
Later among the works it cites.
Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, and Huaiyu Wan · 2019
Later among the works it cites.
Improving customer satisfaction in bike sharing systems through dynamic repositioning
Supriyo Ghosh, Jing Yu Koh, and Patrick Jaillet · 2019
Later among the works it cites.
A deep reinforcement learning framework for rebalancing dockless bike sharing systems
Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, and Longbo Huang · 2019
Later among the works it cites.
Learning heterogeneous spatial-temporal representation for bike-sharing demand prediction
Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, and Yao Zhao · 2019
Later among the works it cites.
A deep value-network based approach for multi-driver order dispatching
Xiaocheng Tang, Zhiwei Tony Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, and Jieping Ye · 2019
Later among the works it cites.
Spatial pricing in ride-sharing networks
Kostas Bimpikis, Ozan Candogan, and Daniela Saban · 2019
Later among the works it cites.
Spatio-temporal pricing for ridesharing platforms
Hongyao Ma, Fei Fang, and David C Parkes · 2019
Later among the works it cites.
Three-quarter sibling regression for denoising observational data
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, and Thomas G. Dietterich · 2019
Later among the works it cites.
Bias reduction via end-to-end shift learning: Application to citizen science
Di Chen and Carla P Gomes · 2019
Later among the works it cites.
Pate-gan: generating synthetic data with differential privacy guarantees
James Jordon, Jinsung Yoon, and Mihaela van der Schaar · 2019
Later among the works it cites.
Guidelines for human-ai interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N Bennett, Kori Inkpen, et al · 2019
Later among the works it cites.
Updates in human-ai teams: Understanding and addressing the performance/compatibility tradeoff
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S Weld, Walter S Lasecki, and Eric Horvitz · 2019
Later among the works it cites.
Webuildai: Participatory framework for algorithmic governance
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, and Ariel D. Procaccia · 2019
Later among the works it cites.
Hello ai: Uncovering the onboarding needs of medical practitioners for human-ai collaborative decision-making
Carrie J Cai, Samantha Winter, David Steiner, Lauren Wilcox, and Michael Terry · 2019
Later among the works it cites.
Unremarkable ai: Fitting intelligent decision support into critical, clinical decision-making processes
Qian Yang, Aaron Steinfeld, and John Zimmerman · 2019
Later among the works it cites.
Human-ai collaboration in data science: Exploring data scientists’ perceptions of automated ai
Dakuo Wang, Justin D Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, and Alexander Gray · 2019
Later among the works it cites.
Presentation at Carnegie Mellon University, 2019
Rayid Ghani · 2019
Later among the works it cites.
The world is complex. measuring charity has to be too, 2019
Joi Ito · 2019
Later among the works it cites.
Challenges in the deployment and operation of machine learning in practice
Lucas Baier, Fabian Jöhren, and Stefan Seebacher · 2019
Later among the works it cites.
Impact and implementation of data science for social good projects
Jennifer Goerg · 2019
Later among the works it cites.
To signal or not to signal: Exploiting uncertain real-time information in signaling games for security and sustainability
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, and Milind Tambe · 2020
Closest in time.
Scalable and generalizable social bot detection through data selection
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, and Filippo Menczer · 2020
Closest in time.
Improving efficiency of volunteer-based food rescue operations
Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, and Fei Fang · 2020
Closest in time.