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PKDD / ECML 2021: Bilbao, Spain - Part IV
- Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano
:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12978, Springer 2021, ISBN 978-3-030-86513-9
Anomaly Detection and Malware
- Damien Fourure
Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol. 3-18 - Jingzhu He, Chin-Chia Michael Yeh, Yanhong Wu, Liang Wang, Wei Zhang:
Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data. 19-36 - Raphael Labaca Castro, Sebastian Franz
AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning. 37-52 - Paul Prasse
Learning Explainable Representations of Malware Behavior. 53-68 - Guoxin Sun, Tansu Alpcan, Benjamin I. P. Rubinstein
Strategic Mitigation Against Wireless Attacks on Autonomous Platoons. 69-84 - Jose Mathew, Meghana Negi, Rutvik Vijjali, Jairaj Sathyanarayana:
DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery. 85-99
Spatio-Temporal Data
- Giorgio Corani
Time Series Forecasting with Gaussian Processes Needs Priors. 103-117 - Jens Schreiber
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. 118-134 - Lun Jiang, Nima Salehi Sadghiani, Zhuo Tao, Andrew Cohen:
Generating Multi-type Temporal Sequences to Mitigate Class-Imbalanced Problem. 135-150 - Xin Li
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network. 151-167
E-commerce and Finance
- Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson
Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks. 171-186 - Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri
Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces. 187-203 - Zijian Shi
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. 204-220 - Elior Nehemya
Taking over the Stock Market: Adversarial Perturbations Against Algorithmic Traders. 221-236 - Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company. 237-252 - Ting-Wei Lin, Ruei-Yao Sun, Hsuan-Ling Chang, Chuan-Ju Wang, Ming-Feng Tsai:
XRR: Explainable Risk Ranking for Financial Reports. 253-268
Healthcare and Medical Applications (including Covid)
- Prasanna Umar, Chandan Akiti, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer:
Self-disclosure on Twitter During the COVID-19 Pandemic: A Network Perspective. 271-286 - Kang Wang, Yang Zhao, Yong Dou, Dong Wen, Zikai Gao:
COVID Edge-Net: Automated COVID-19 Lung Lesion Edge Detection in Chest CT Images. 287-301 - Nikki Theeuwes, Geert-Jan van Houtum
Improving Ambulance Dispatching with Machine Learning and Simulation. 302-318 - Renhe Jiang
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. 319-334 - Taichi Murayama
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning. 335-350 - Ivan Kiskin
Automatic Acoustic Mosquito Tagging with Bayesian Neural Networks. 351-366 - Wei Sun
Multitask Recalibrated Aggregation Network for Medical Code Prediction. 367-383 - Miguel Angel Lozano
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. 384-399
Mobility and Transportation
- George Forman
Getting Your Package to the Right Place: Supervised Machine Learning for Geolocation. 403-419 - Louis Zigrand
Machine Learning Guided Optimization for Demand Responsive Transport Systems. 420-436 - Cristian Axenie
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. 437-452 - Mingxuan Yue, Yao-Yi Chiang, Cyrus Shahabi:
VAMBC: A Variational Approach for Mobility Behavior Clustering. 453-469 - Xin Du, Jiahai Wang, Siyuan Chen
Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control. 470-485 - Chen Dang
Monte Carlo Search Algorithms for Network Traffic Engineering. 486-501 - Michael Wilbur, Ayan Mukhopadhyay, Sayyed Vazirizade, Philip Pugliese, Aron Laszka, Abhishek Dubey:
Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-task and Inductive Transfer Learning. 502-517 - Yu Wang
CQNet: A Clustering-Based Quadruplet Network for Decentralized Application Classification via Encrypted Traffic. 518-534 - Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. 535-551
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