default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPKDD / 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, Johannes Burchert, Lars Schmidt-Thieme:
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, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme:
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. 36-52 - Xuan-May 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, Antonina Kolokolova, Farzaneh Shoeleh, Charles Robertson, John Hawkin, Ting Hu:
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, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. 185-200
Applications
- Francesco Salvetti, Simone Angarano, Mauro Martini, Simone Cerrato, Marcello Chiaberge:
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, Arpit Dwivedi, Animesh Mukherjee:
Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction. 236-252 - Jingyi Yuan, Yang Weng:
Physically Invertible System Identification for Monitoring System Edges with Unobservability. 253-269 - Tianyu Cui, Gang Xiong, Chang Liu, Junzheng Shi, Peipei Fu, Gaopeng Gou:
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, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen:
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, Altaf Ahmad, Aditya Basu, Animesh Mukherjee:
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach. 335-352 - Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal:
'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, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger:
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, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. 453-468 - Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan:
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. 469-485
Applications: Transportation
- Zhiwen Zhang, Hongjun Wang, Zipei Fan, Jiyuan Chen, Xuan Song, Ryosuke Shibasaki:
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, Mohammed Eunus Ali, Muhammad Aamir Cheema, Syed Md. Mukit Rashid, Timos Sellis:
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, Yuya Sasaki, George Fletcher, Makoto Onizuka:
Benchmarking GNNs with GenCAT Workbench. 607-611 - Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
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, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller:
ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data. 622-626 - Prateek Chhikara, Anil Goyal, Chirag Sharma:
$\mathtt {RE\text{- }Tagger}$: A Light-Weight Real-Estate Image Classifier. 627-630 - Olivier Antoni, Marion Mainsant, Christelle Godin, Martial Mermillod, Marina Reyboz:
An Embedded Continual Learning System for Facial Emotion Recognition. 631-635 - Edward Burgin, Sourav Dutta, Haytham Assem, Raj Nath Patel:
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, Nicholas Kunz, Paula Branco:
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, Marcin Luckner, Przemyslaw Wrona:
Urban Traveller Preference Miner: Modelling Transport Choices with Survey Data Streams. 654-657 - Michael C. Thrun, Quirin Stier, Alfred Ultsch:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-22 02:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
