ECML/PKDD (6)

Keyphrases

Publications

2023

Asmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz
Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models. ECML/PKDD (6) (2023)
Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. ECML/PKDD (6) (2023)
Madhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally
Cooperative Multi-agent Reinforcement Learning for Inventory Management. ECML/PKDD (6) (2023)
Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero
Advancing Fraud Detection Systems Through Online Learning. ECML/PKDD (6) (2023)
Arihant Jain, Gundeep Arora, Anoop Saladi
Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed Sampling. ECML/PKDD (6) (2023)
Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) (2023)
Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard
Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection. ECML/PKDD (6) (2023)
Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin
Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) (2023)
Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition. ECML/PKDD (6) (2023)
Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) (2023)
Yongxin Yang, Timothy M. Hospedales
On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) (2023)
Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. ECML/PKDD (6) (2023)
Stefan Haas, Eyke Hüllermeier
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing. ECML/PKDD (6) (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) (2023)
Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction. ECML/PKDD (6) (2023)
Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz
Ordinal Regression for Difficulty Prediction of StepMania Levels. ECML/PKDD (6) (2023)
Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation. ECML/PKDD (6) (2023)
Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) (2023)
Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) (2023)
Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels. ECML/PKDD (6) (2023)
Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang
DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage. ECML/PKDD (6) (2023)
Paolo Viviani, Ilaria Gesmundo, Elios Ghinato, Andres Y. Agudelo-Toro, Chiara Vercellino, Giacomo Vitali, Letizia Bergamasco, Alberto Scionti, Marco Ghislieri, Valentina Agostini, Olivier Terzo, Hansjörg Scherberger
Deep Learning for Real-Time Neural Decoding of Grasp. ECML/PKDD (6) (2023)
Sushant More, Priya Kotwal, Sujith Chappidi, Dinesh Mandalapu, Chris Khawand
Double Machine Learning at Scale to Predict Causal Impact of Customer Actions. ECML/PKDD (6) (2023)
Georgios Papadopoulos, Fran Silavong, Sean J. Moran
A Baseline Generative Probabilistic Model for Weakly Supervised Learning. ECML/PKDD (6) (2023)
Ying Chen, Rui Liu, Zhihui Li, Andy Song
F-3DNet: Leveraging Inner Order of Point Clouds for 3D Object Detection. ECML/PKDD (6) (2023)
Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. ECML/PKDD (6) (2023)
Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) (2023)
Ruixiang Tang, Mengnan Du, Xia Hu
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) (2023)
Siqian Zhao, Shaghayegh Sahebi
Graph-Enhanced Multi-Activity Knowledge Tracing. ECML/PKDD (6) (2023)
Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement. ECML/PKDD (6) (2023)
Yihao Ding, Siwen Luo, Hyunsuk Chung, Soyeon Caren Han
PDF-VQA: A New Dataset for Real-World VQA on PDF Documents. ECML/PKDD (6) (2023)
Shreya Ghosh, Prasenjit Mitra
How Early Can We Detect? Detecting Misinformation on Social Media Using User Profiling and Network Characteristics. ECML/PKDD (6) (2023)
Cheng Tan, Zhangyang Gao, Stan Z. Li
Target-Aware Molecular Graph Generation. ECML/PKDD (6) (2023)
Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana
DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling. ECML/PKDD (6) (2023)
Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa
Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai. ECML/PKDD (6) (2023)
Ming He, Jiwen Wang, Boyang An, Hao Wen
Prototype-Guided Counterfactual Explanations via Variational Auto-encoder for Recommendation. ECML/PKDD (6) (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) (2023)
Zhouting Zhao, Tin Lok James Ng
Fairness-Aware Processing Techniques in Survival Analysis: Promoting Equitable Predictions. ECML/PKDD (6) (2023)
Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. ECML/PKDD (6) (2023)
Xiao Yuan
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification. ECML/PKDD (6) (2023)
Mirko Bunse, Lukas Pfahler
Class-Conditional Label Noise in Astroparticle Physics. ECML/PKDD (6) (2023)

volume 14174, 2023

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI ECML/PKDD (6) 14174 (2023)

volume 13718, 2023

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI ECML/PKDD (6) 13718 (2023)

2022