Accepted Papers

Applied Data Science Track

  • Getting Your Package to the Right Place: Supervised Machine Learning for Geolocation (22)
    George Forman
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  • DeepPE: Emulating Parameterization in Numerical Weather Forecast Model through Bidirectional Network (39)
    Fengyang Xu, Wencheng Shi, Yunfei Du, Zhiguang Chen, Nong Xiao and Yutong Lu
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  • Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning (101)
    Taichi Murayama, Shoko Wakamiya and Eiji Aramaki
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  • Crowd-based Evaluation of XAI Methods (102)
    Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi and Hisashi Kashima
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  • CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-Teaching (147)
    Tianyi Xie, Thai Le and Dongwon Lee
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  • Multitask Recalibrated Aggregation Network for Medical Code Prediction (161)
    Wei Sun, Shaoxiong Ji, Erik Cambria and Pekka Marttinen
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  • Quantifying Explanations of Neural Networks in E-Commerce Based on LRP (183)
    Anna Nguyen, Franz Krause, Daniel Hagenmayer and Michael Färber
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  • Time series forecasting with Gaussian Processes needs priors (244)
    Giorgio Corani, Alessio Benavoli and Marco Zaffalon
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  • Smurf-based Anti-Money Laundering inTime-Evolving Transaction Networks (269)
    Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, Andrè Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo
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  • Automated Machine Learning for Satellite Data: Integrating remote sensing pre-trained models into AutoML systems (285)
    Nelly Rosaura Palacios Salinas, Mitra Baratchi, Jan N. van Rijn, Andreas Vollrath
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  • Action Set Based Policy Optimization for Safe Power Grid Management (325)
    Bo Zhou, Hongsheng Zeng, Yuecheng Liu, Kejiao Li, Fan Wang and Hao Tian
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  • Spatio-temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces (330)
    Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri and Vineet Chaoji
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  • The Limit Order Book Recreation Model (LOBRM): An Extended Analysis (332)
    Zijian Shi and John Cartlidge
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  • Machine Learning Guided Optimization for Demand Responsive Transport systems (383)
    Louis Zigrand, Pegah Alizadeh, Emiliano Traversi and Roberto Wolfler Calvo
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  • The Joy of Dressing is an Art: Outfit Generation using Self-Attention Bi-LSTM (385)
    Manchit Madan, Ankur Chouragade and Sreekanth Vempati
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  • Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders (386)
    Elior Nehemya, Yael Mathov, Asaf Shabtai and Yuval Elovici
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  • Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events (389)
    Stefanos Antaris, Dimitrios Rafailidis and Romina Arriazay
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  • OBELISC: Oscillator-Based Modelling and Control using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation (394)
    Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli and Götz Brasche
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  • Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol (406)
    Damien Fourure, Simon Tihon, Nicolas Posocco and Muhammad Usama Javaid
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  • MMNet: Multi-Granularity Multi-Mode Network for Item-Level Share Rate Prediction (414)
    Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang and Leyu Lin
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  • Countrywide Origin Destination Matrix Prediction and Its Application for COVID-19 (415)
    Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song and Ryosuke Shibasaki
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  • COVID Edge-Net: Automated COVID-19 Lung Lesion Edge Detection in Chest CT Images (422)
    Kang Wang, Yang Zhao, Yong Dou, Dong Wen and Zikai Gao
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  • Balancing Speed and Accuracy in Neural-Enhanced Phonetic Name Matching (444)
    Philip Blair, Carmel Eliav, Fiona Hasanaj and Kfir Bar
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  • AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning (445)
    Raphael Labaca-Castro, Sebastian Franz and Gabi Dreo Rodosek
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  • VAMBC: A Variational Approach for Mobility Behavior Clustering (447)
    Mingxuan Yue, Yao-Yi Chiang and Cyrus Shahabi
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  • ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection (466)
    Guanjie Huang and Fenglong Ma
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  • Methods for automatic Machine-Learning Workflow Analysis (473)
    Lorenz Wendlinger, Emanuel Berndl and Michael Granitzer
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  • Effects of boundary conditions in fully convolutional network for learning spatio-temporal dynamics (497)
    Antonio Alguacil, Wagner Gonçalves Pinto, Michaël Bauerheim, Marc C. Jacob and Stéphane Moreau
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  • Physics Knowledge Discovery via Neural Differential Equation Embedding (499)
    Yexiang Xue, Md Nasim, Maosen Zhang, Cuncai Fan, Xinghang Zhang and Anter El-Azab
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  • XRR: Explainable Risk Ranking for Financial Reports (506)
    Ting-Wei Lin, Ruei-Yao Sun, Hsuan-Ling Chang, Chuan-Ju Wang and Ming-Feng Tsai
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  • Strategic mitigation against wireless attacks on autonomous platoons (514)
    Guoxin Sun, Tansu Alpcan, Benjamin Rubinstein and Seyit Camtepe
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  • Mining Anomalies in Subspaces of High-dimensional Time Series for Financial Transactional Data (520)
    Jingzhu He, Chin-Chia Michael Yeh, Yanhong Wu, Liang Wang and Wei Zhang
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  • Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example (566)
    Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu and Zitao Liu
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  • AutoML meets Time Series Regression: Design and Analysis of the AutoSeries Challenge (570)
    Zhen Xu, Wei-Wei Tu and Isabelle Guyon
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  • Multi-Agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control (593)
    Xin Du, Jiahai Wang, Siyuan Chen and Zhiyue Liu
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  • Topic-to-Essay Generation with Comprehensive Knowledge Enhancement (594)
    Zhiyue Liu, Jiahai Wang and Zhenghong Li
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  • Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network (605)
    Xin Li, Jun Liao and Li Liu
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  • Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast (611)
    Jens Schreiber, Stephan Vogt and Bernhard Sick
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  • PuzzleShuffle: Undesirable Feature Learning for Semantic Shift Detection (637)
    Yusuke Kanebako and Kazuki Tsukamoto
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  • Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (638)
    Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Angel Garcia-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
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  • Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company (657)
    Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
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  • Explainable Abusive Language Classification Leveraging User and Network Data (663)
    Maximilian Wich, Edoardo Mosca, Adrian Gorniak, Johannes Hingerl and Georg Groh
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  • Analyzing Research Trends in Inorganic Material Literature Using NLP (687)
    Fusataka Kuniyoshi, Jun Ozawa and Makoto Miwa
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  • Learning Explainable Representations of Malware Behavior (720)
    Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukas Bajer and Tobias Scheffer
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  • DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery (738)
    Jose Matthew, Meghana Negi, Rutvik Vijjali and Jairaj Sathyanarayana
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  • Monte Carlo Search Algorithms for Traffic Engineering (755)
    Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin and Pierre-Henri Wuillemin
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  • TagRec: Automated tagging of questions withhierarchical learning taxonomy (765)
    Venktesh V, Dr. Mukesh Mohania and Dr. Vikram Goyal
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  • An optimized NL2SQL system for enterprise data mart (767)
    Kaiwen Dong, Kai Lu, Xin Xia, David Cieslak Nitesh V. Chawla
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  • Conditional Neural Relational Inference for Interacting Systems (775)
    Joao Candido Ramos, Lionel Blondé, Stéphane Armand and Alexandros Kalousis
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  • On Inferring a Meaningful Similarity Metric of Customer Behaviour (781)
    Sophie van den Berg and Marwan Hassani
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  • Feature Enhanced Capsule Networks for Robust Automatic Essay Scoring (796)
    Anubha Kabra, Arushi Sharma and Rajiv Kapoor
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  • A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression (846)
    Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro and Amedeo Napoli
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  • Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs (874)
    Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont and Camille Noûs
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  • Automatic acoustic mosquito tagging with Bayesian neural networks (882)
    Ivan Kiskin, Adam D. Cobb, Marianne Sinka, Kathy Willis, Stephen J. Roberts
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  • Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise (922)
    Andrea Castellani, Sebastian Schmitt and Barbara Hammer
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  • Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-Task and Inductive Transfer Learning (948)
    Michael Wilbur, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Philip Pugliese, Aron Laszka and Abhishek Dubey
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  • Improving ambulance dispatching with machine learning and simulation (950)
    Nikki Theeuwes, Geert-Jan Van Houtum and Yingqian Zhang
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  • Time aspect in making an actionable prediction of a conversation breakdown (955)
    Piotr Janiszewski, Mateusz Lango and Jerzy Stefanowski
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  • Self-disclosure on Twitter during COVID-19 Pandemic: A Network Perspective (967)
    Prasanna Umar, Chandan Akiti, Anna Squicciarini and Sarah Rajtmajer
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  • Checking Robustness of Representations Learned by Deep Neural Networks (987)
    Kamil Szyc, Tomasz Walkowiak and Henryk Maciejewski
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  • Enabling Machine Learning on the Edge using SRAM Conserving Efficient Neural Networks Execution Approach (1007)
    Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali
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  • Precise Weather Parameter Predictions for Target Regions via Neural Networks (1032)
    Yihe Zhang, Xu Yuan, Sytske K. Kimball, Eric Rappin, Li Chen, Paul Darby, Tom Johnsten, Lu Peng, Boisy Pitre, David Bourrie, Nian-Feng Tzeng
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  • Generating multi-type temporal sequences to mitigate class-imbalanced problem (1059)
    Lun Jiang, Nima Salehi Sadghiani, Zhuo Tao and Andrew Cohen
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  • CQNet: A clustering-based quadruplet network for Decentralized Application classification via encrypted traffic (1091)
    Yu Wang, Gang Xiong, Chang Liu, Zhen Li, Mingxin Cui and Gaopeng Gou
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  • SPOT: a framework for selection of prototypes using optimal transport (1111)
    Karthik Gurumoorthy, Pratik Jawanpuria and Bamdev Mishra
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