Papers
Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks
Zixiaofan Yang, Julia Hirschberg
Predicting Brain Activation with WordNet Embeddings
João António Rodrigues, Ruben Branco, João Silva et al.
Predicting Complex Activities from Ongoing Multivariate Time Series
Weihao Cheng, Sarah Erfani, Rui Zhang et al.
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
Nikola Ljubešić, Darja Fišer, Anita Peti-Stantić
Predicting Discharge Disposition Using Patient Complaint Notes in Electronic Medical Records
Mohamad Salimi, Alla Rozovskaya
Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov et al.
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William Falcon, Henning Schulzrinne
Predicting Foreign Language Usage from English-Only Social Media Posts
Svitlana Volkova, Stephen Ranshous, Lawrence Phillips
Predicting Future Instance Segmentation by Forecasting Convolutional Features
Pauline Luc, Camille Couprie, Yann LeCun et al.
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
Yifei Huang, Minjie Cai, Zhenqiang Li et al.
Predicting Human Metaphor Paraphrase Judgments with Deep Neural Networks
Yuri Bizzoni, Shalom Lappin
Predicting Human Trustfulness from Facebook Language
Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz
Predicting Japanese Word Order in Double Object Constructions
Masayuki Asahara, Satoshi Nambu, Shin-Ichiro Sano
Predicting misreadings from gaze in children with reading difficulties
Joachim Bingel, Maria Barrett, Sigrid Klerke
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning
Sotiris Lamprinidis, Daniel Hardt, Dirk Hovy
Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System.
Klim Zaporojets, Lucas Sterckx, Johannes Deleu et al.
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP)
Anthony Rios, Tung Tran, Ramakanth Kavuluru
Predicting Semantic Relations using Global Graph Properties
Yuval Pinter, Jacob Eisenstein
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
Matthew Engelhard, Hongteng Xu, Lawrence Carin et al.
Predicting Stances from Social Media Posts using Factorization Machines
Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki et al.
Predicting the presence of a Matrix Language in code-switching
Barbara Bullock, Wally Guzmán, Jacqueline Serigos et al.
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data
Yingzi Wang, Xiao Zhou, Anastasios Noulas et al.