Research Track
A Graph Convolutional Encoder and Decoder Model for Rumor
Hongbin Lin, Xianghua Fu and Xi Zhang
Period Estimation For Incomplete Time Series
Lin Zhang and Petko Bogdanov
OnlineBTD: Streaming Algorithms to Track the Block Term
Ekta Gujral and Evangelos Papalexakis
Learning Fair and Transferable Representations with Theoretical Guarantees
Luca Oneto, Michele Donini, Massimiliano Pontil and Andreas Maurer
Efficient Frequent Subgraph Mining in Transactional Databases
Pascal Welke
Accurately Quantifying a Billion Instances per Second
Waqar Hassan, André Maletzke and Gustavo Batista
Ensemble of Hierarchical Temporal Memory for Anomaly Detection
Farzaneh Shoeleh, Masoud Erfani, Duc-Phong Le and Ali A. Ghorbani
Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data
Wenli Sun, Changgee Chang and Qi Long
Shells within Minimum Enclosing Balls
Christian Bauckhage, Michael Bortz and Rafet Sifa
MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems
Tilemachos Pechlivanoglou, Mahmoud Alsaeed and Manos Papagelis
Weakly Supervised Person Search
Lan Yan, Wenbo Zheng, Chao Gou and Fei-Yue Wang
Dimensionality-adaptive K-center in Sliding Windows
Paolo Pellizzoni, Andrea Pietracaprina and Geppino Pucci
Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala and Jana Kosecka
MEE: An Automatic Metric for Evaluation Using Embeddings for Machine Translation
Ananya Mukherjee, Hema Ala, Manish Shrivastava and Dipti Misra Sharma
Attributed Network Embedding with Community Preservation
Tong Huang, Lihua Zhou, Kevin Lü, Lizhen Wang and Guowang Du
Economic Worth-Aware Word Embeddings
Yusan Lin, Peifeng Yin and Wang-Chien Lee
Improving Product Placement in Retail with Generalized High-Utility Itemsets
Chinmay Bapna, Polepalli Krishna Reddy and Anirban Mondal
Estimating Countries’ Peace Index through the Lens of the World’s News as Monitored by GDELT
Vasiliki Voukelatou, Ioanna Miliou, Lorenzo Gabrielli, Luca Pappalardo and Fosca Giannotti
Block-Approximated Exponential Random Graphs
Florian Adriaens, Alexandru Mara, Jefrey Lijffijt and Tijl De Bie
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
Alexandru Mara, Jefrey Lijffijt and Tijl De Bie
Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction
Qingxuan Zhang and Chongyang Shi
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases
R. Uday Kiran, Yutaka Watanobe, Bhaskar Chowdary, Koji Zettsu, Masashi Toyoda and Masaru Kitsuregawa
Spatio-Temporal Functional Neural Networks
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani and Chetan Gupta
SesameBERT: Attention for Anywhere
Ta-Chun Su and Hsiang-Chih Cheng
Optimal Data Placement for Data-Centric Algorithms on NVM-Based Hybrid Memory
Yongping Luo, Peiquan Jin and Shouhong Wan
AdvPL: Adversarial Personalized Learning
Wei Du and Xintao Wu
Coordinate Descent Method for Log-linear Model on Posets
Shota Hayashi, Mahito Sugiyama and Shin Matsushima
Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model
Cheng-En Sung, Hao-Shang Ma and Jen-Wei Huang
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport
Luu Huu Phuc, Koh Takeuchi, Makoto Yamada and Hisashi Kashima
Active Learning of SVDD Hyperparameter Values
Holger Trittenbach, Klemens Böhm and Ira Assent
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior
Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li and Yuan Liu
Interpretability and Refinement of Clustering
Felix Iglesias, Tanja Zseby and Arthur Zimek
CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement
Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee and Philips Kokoh Prasetyo
Active Sampling for Learning Interpretable Surrogate Machine Learning Models
Amal Saadallah and Katharina Morik
FONDUE: Framework for Node Disambiguation Using Network Embeddings
Ahmad Mel, Bo Kang, Jefrey Lijffijt and Tijl De Bie
Mix2Vec: Unsupervised Mixed Data Representation
Chengzhang Zhu, Qi Zhang, Longbing Cao and Arman Abrahamyan
Near-duplicated Loss for Accurate Object Localization
He Liu, Xiaocheng Yang, Huaping Liu, Tao Kong and Fuchun Sun
Information Exposure From Relational Background Knowledge on Social Media
Shuo Liu, Lisa Singh and Kevin Tian
Sequence Learning with Side Dependencies
Zhiwei Wang, Hui Liu, Gale Yan Huang and Zitao Liu
Application Track
RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy
Kei Nakagawa, Masaya Abe and Junpei Komiyama
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Waverdyck, Samuel Krassenstein, Arya Farahi and Danai Koutra
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae and Michael Cochez
Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique
Qun Li, Changbo Hu, Keng-Hao Chang and Ruofei Zhang
HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain
Erick Skorupa Parolin, Latifur Khan, Vito D’Orazio, Javier Osorio, Patrick Brandt and Jennifer Holmes
Precision Coupon Targeting with Dynamic Customer Triage
Chuanren Liu and Wenxiang Zhu
Automating and Analyzing Whole-Farm Carbon Models
Aditi Maheshwari, Curtis Dyreson, Jennifer Reeve, Vishal Sharma and Anthony Whaley
Probability of Default Estimation with a Reject Option
Lize Coenen, Ahmed K.A. Abdullah and Tias Guns
Profiling US Restaurants from Billions of Payment Card Transactions
Himel Dev and Hossein Hamooni
Embedding for Anomaly Detection on Health Insurance Claims
Jiaqi Lu, Benjamin C. M. Fung and William K. Cheung
Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection
Fares Meghdouri, Felix Iglesias and Tanja Zseby
Interactive Machine Learning Tool for Clustering in Visual Analytics
Michael Thrun, Felix Pape and Alfred Ultsch
Stress Prediction from Head Motion
Hitoshi Kusano, Yuji Horiguchi, Yukino Baba and Hisashi Kashima
Using Data Science to Improve the Identification of Plant Nutritional Status
David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Cremilleux and Sylvain Pluchon
A Distance Metric for Sets of Events
Raphael Sahann, Claudia Plant and Torsten Möller
Matching Research Publications to the United Nations’ Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories
Rui Zhang, Maéva Vignes, Ulrich Steiner and Arthur Zimek
Why Should I Trust This Item? Explaining the Recommendations of any Model
Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin and Martin Atzmueller
Cardea: An Open Automated Machine Learning Framework forElectronic Health Records
Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Donyu Liu, Mansour Alsaleh and Kalyan Veeramachaneni
