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PKDD / ECML 2022: Grenoble, France - Part VI
- Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13718, Springer 2023, ISBN 978-3-031-26421-4
Time Series
- Lukas Brinkmeyer
, Rafael Rêgo Drumond
Few-Shot Forecasting of Time-Series with Heterogeneous Channels. 3-18 - Amal Saadallah, Hanna Mykula, Katharina Morik:
Online Adaptive Multivariate Time Series Forecasting. 19-35 - Kiran Madhusudhanan
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. 36-52 - Xuan-May Thi Le, Minh-Tuan Tran, Van-Nam Huynh:
Learning Perceptual Position-Aware Shapelets for Time Series Classification. 53-69 - Zed Lee, Marco Trincavelli, Panagiotis Papapetrou:
Finding Local Groupings of Time Series. 70-86 - Azim Ahmadzadeh, Yang Chen, Krishna Rukmini Puthucode, Ruizhe Ma, Rafal A. Angryk:
TS-MIoU: A Time Series Similarity Metric Without Mapping. 87-102
Financial Machine Learning
- Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. 105-120 - Kyle L. Nickerson, Terrence S. Tricco
Banksformer: A Deep Generative Model for Synthetic Transaction Sequences. 121-136 - Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Stock Trading Volume Prediction with Dual-Process Meta-Learning. 137-153 - Yun-Hsuan Lien, Yu-Syuan Lin, Yu-Shuen Wang:
Uncertainty Awareness for Predicting Noisy Stock Price Movements. 154-169 - Stefan Haas, Eyke Hüllermeier:
A Prescriptive Machine Learning Approach for Assessing Goodwill in the Automotive Domain. 170-184 - David Winkel
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. 185-200
Applications
- Francesco Salvetti
Waypoint Generation in Row-Based Crops with Deep Learning and Contrastive Clustering. 203-218 - Alexander Koebler, Ralf Gross, Florian Buettner, Ingo Thon:
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting. 219-235 - Rima Hazra
Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction. 236-252 - Jingyi Yuan
Physically Invertible System Identification for Monitoring System Edges with Unobservability. 253-269 - Tianyu Cui, Gang Xiong
GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation. 270-285 - Dongxia Wang, En Zhang, Xuesong Lu:
Automatic Grading of Student Code with Similarity Measurement. 286-301 - Yuchen Li
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs. 302-317 - Zirui Yong, Guoxin Su, Xiaohu Li, Lingyun Sun, Zejian Li, Li Liu:
Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data. 318-334 - Sayantan Adak
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach. 335-352 - Rishabh Gupta
'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems. 353-369 - Jeroen Clijmans, Maaike Van Roy, Jesse Davis
Looking Beyond the Past: Analyzing the Intrinsic Playing Style of Soccer Teams. 370-385 - Zhengqiao Deng, Shuang Qian, Jing Qi, Li Liu, Bo Xu:
Recognizing Non-small Cell Lung Cancer Subtypes by a Constraint-Based Causal Network from CT Images. 386-402 - Shuwen Deng
Detection of ADHD Based on Eye Movements During Natural Viewing. 403-418 - Zisen Wang, Ying Liang, Zhengjun Liu:
FFBDNet: Feature Fusion and Bipartite Decision Networks for Recommending Medication Combination. 419-436 - Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma:
Towards Federated COVID-19 Vaccine Side Effect Prediction. 437-452 - Qi Cao, Renhe Jiang
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. 453-468 - Feng Xie
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. 469-485
Applications: Transportation
- Zhiwen Zhang
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories. 489-504 - Ahmad Bdeir, Jonas K. Falkner, Lars Schmidt-Thieme
Attention, Filling in the Gaps for Generalization in Routing Problems. 505-520 - Tom Mertens, Marwan Hassani
Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems. 521-537 - Victor Amblard, Amir Dib, Noëlie Cherrier, Guillaume Barthe:
A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction. 538-553 - Yuecheng Rong, Jun Liu, Zhilin Xu, Jian Ding, Chuangming Zhang, Jiaxiang Gao:
BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning. 554-570 - Md. Tareq Mahmood
PathOracle: A Deep Learning Based Trip Planner for Daily Commuters. 571-586
Demo Track
- Natalia Semenova, Vadim Porvatov, Vladislav Tishin, Artyom Sosedka, Vladislav Zamkovoy:
Logistics, Graphs, and Transformers: Towards Improving Travel Time Estimation. 589-593 - Peng Yuan, Lu-An Tang, Haifeng Chen, Moto Sato, Kevin Woodward:
Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things. 594-598 - Nuria García-Santa, Kendrick Cetina:
AGG: An Automated Genogram Generator by Discovering Information in Clinical Texts. 599-602 - Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu:
TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing. 603-606 - Seiji Maekawa
Benchmarking GNNs with GenCAT Workbench. 607-611 - Anton Björklund
SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. 612-616 - Raphaël Morvillier, Christophe Prat, Saifeddine Aloui:
A Camera-Based System to Detect Driver Hands on the Steering Wheel in Semi-autonomous Vehicles. 617-621 - Benedikt Tobias Müller
ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data. 622-626 - Prateek Chhikara
$\mathtt {RE\text{- }Tagger}$: A Light-Weight Real-Estate Image Classifier. 627-630 - Olivier Antoni
An Embedded Continual Learning System for Facial Emotion Recognition. 631-635 - Edward Burgin, Sourav Dutta
Cage: A Hybrid Framework for Closed-Domain Conversational Agents. 636-640 - Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. 641-644 - Wenglei Wu
ImbalancedLearningRegression - A Python Package to Tackle the Imbalanced Regression Problem. 645-648 - Rohan Banerjee, Avik Ghose:
A Light Weight Cardiac Monitoring System for On-device ECG Analysis. 649-653 - Maciej Grzenda
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams. 654-657 - Michael C. Thrun
Interactive Toolbox for Two-Dimensional Gaussian Mixture Modeling. 658-661 - Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines. 662-666
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