KDD

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

Otmar Ertl

Comments 10 pages, KDD 2018

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang

Comments 10 pages, 5 figures, accepted as an oral paper in SIGKDD 2018

Pangloss: Fast Entity Linking in Noisy Text Environments

Michael Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah

Comments KDD 2018

DeepInf: Social Influence Prediction with Deep Learning

Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang

Comments 10 pages, 5 figures, to appear in KDD 2018 proceedings

Are generative deep models for novelty detection truly better?

Vít Škvára, Tomáš Pevný, Václav Šmídl

Comments 7 pages, ODD v5.0 - KDD 2018 workshop

Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable

Ryan McConville, Gareth Archer, Ian Craddock, Herman ter Horst, Robert Piechocki, James Pope, Raul Santos-Rodriguez

Comments MLMH 2018: 2018 KDD Workshop on Machine Learning for Medicine and Healthcare

Recognising Cardiac Abnormalities in Wearable Device Photoplethysmography (PPG) with Deep Learning

Stewart Whiting, Samuel Moreland, Jason Costello, Glen Colopy, Christopher McCann

Comments Appearing in the 2018 KDD Workshop on Machine Learning for Medicine and Healthcare

Designing Experiments to Measure Incrementality on Facebook

C. H. Bryan Liu, Elaine M. Bettaney, Benjamin Paul Chamberlain

Comments Accepted into 2018 AdKDD & TargetAd Workshop in conjunction with KDD 2018; 6 pages, 4 figures, and 2 tables

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han

Comments 10 pages. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, ACM, 2018

Optimization of a SSP's Header Bidding Strategy using Thompson Sampling

Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne, Aurélien Garivier, Sébastien Gerchinovitz

Journal ref The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Aug 2018, London, United Kingdom

Mammography Assessment using Multi-Scale Deep Classifiers

Ulzee An, Khader Shameer, Lakshmi Subramanian

Comments Prepared for MLMH at KDD 2018

Synthetic Sampling for Multi-Class Malignancy Prediction

Matthew Yung, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Daniela S. Raicu

Comments 5 pages, 3 figures, 4 Tables, KDD MLMH'18 Workshop

Multi-Task Learning with Incomplete Data for Healthcare

Xin J. Hunt, Saba Emrani, Ilknur Kaynar Kabul, Jorge Silva

Comments 4 pages, 3 figures, 1 table, 2018 KDD Workshop on Machine Learning for Medicine and Healthcare

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

Comments Accepted at Machine Learning for Medicine and Healthcare Workshop at ACM KDD 2018 Conference

Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease

Telma Pereira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira

Comments 4 pages, 1 figure, accepted for presentation at the KDD Workshop on Machine Learning for Medicine and Healthcare, London, UK, August 2018

Can Who-Edits-What Predict Edit Survival?

Ali Batuhan Yardım, Victor Kristof, Lucas Maystre, Matthias Grossglauser

Comments Accepted at KDD 2018

Generating Synthetic but Plausible Healthcare Record Datasets

Laura Aviñó, Matteo Ruffini, Ricard Gavaldà

Comments MLMH 2018 : 2018 KDD workshop on Machine Learning for Medicine and Healthcare

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar

Comments 12 pages 7 figures To be published in: KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Proceedings

Footwear Size Recommendation System

Shreya Singh, G Mohammed Abdulla, Sumit Borar, Sagar Arora

Comments 7 pages, 5 figures, 5 tables, AI meets Fashion workshop, KDD 2018

Personalizing Similar Product Recommendations in Fashion E-commerce

Pankaj Agarwal, Sreekanth Vempati, Sumit Borar

Comments AI for fashion, The third international workshop on fashion and KDD

Measuring the quality of Synthetic data for use in competitions

James Jordon, Jinsung Yoon, Mihaela van der Schaar

Comments 3 pages, 1 figure, 2018 KDD Workshop on Machine Learning for Medicine and Healthcare

A hybrid deep learning approach for medical relation extraction

Veera Raghavendra Chikka, Kamalakar Karlapalem

Comments 4 pages, 4 tables, 1 figure, 2018 KDD workshop on Machine Learning for Medicine and Healthcare

Journal ref MLMH 2018 2018 KDD workshop on Machine Learning for Medicine and Healthcare. London, United Kingdom. August 20, 2018

How To Extract Fashion Trends From Social Media? A Robust Object Detector With Support For Unsupervised Learning

Vijay Gabale, Anand Prabhu Subramanian

Comments 6 pages, 3 figures, AI for Fashion, KDD 2018

Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment

Wei-Hung Weng, Peter Szolovits

Comments Accepted by 2018 KDD Workshop on Machine Learning for Medicine and Healthcare

A Hierarchical Deep Learning Natural Language Parser for Fashion

José Marcelino, João Faria, Luís Baía, Ricardo Gamelas Sousa

Comments In Proceedings of KDD 2018 (KDD Workshop on AI for Fashion)

A Unified Model with Structured Output for Fashion Images Classification

Beatriz Quintino Ferreira, Luís Baía, João Faria, Ricardo Gamelas Sousa

Comments Accepted in KDD 2018's AI for Fashion workshop

Learning-to-Ask: Knowledge Acquisition via 20 Questions

Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao

Comments Accepted by KDD 2018

Multi-Pointer Co-Attention Networks for Recommendation

Yi Tay, Luu Anh Tuan, Siu Cheung Hui

Comments Accepted to KDD 2018 (Research Track)

Disentangling Multiple Conditional Inputs in GANs

Gökhan Yildirim, Calvin Seward, Urs Bergmann

Comments 5 pages, 9 figures, Paper is accepted to the workshop "AI for Fashion" in KDD Conference, 2018, London, United Kingdom

Learning Structural Node Embeddings Via Diffusion Wavelets

Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec

Comments The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 19--23, 2018, London, United Kingdom