• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2024
• 
  Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils M. Kriege:
  On the Two Sides of Redundancy in Graph Neural Networks. ECML/PKDD (6) 2024: 371-388
• 
  Lukas Berner, Henning Meyerhenke:
  Introducing Total Harmonic Resistance for Graph Robustness Under Edge Deletions. ECML/PKDD (6) 2024: 287-302
• 
  Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli:
  Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis. ECML/PKDD (6) 2024: 74-91
• 
  Sebastian Buschjäger:
  Rejection Ensembles with Online Calibration. ECML/PKDD (6) 2024: 3-20
• 
  Thibaut Chataing, Julien Perez, Marc Plantevit, Céline Robardet:
  DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. ECML/PKDD (6) 2024: 407-422
• 
  Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
  Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) 2024: 145-162
• 
  Nirjhar Das, Gaurav Sinha:
  Linear Contextual Bandits with Hybrid Payoff: Revisited. ECML/PKDD (6) 2024: 441-455
• 
  Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén:
  Policy Control with Delayed, Aggregate, and Anonymous Feedback. ECML/PKDD (6) 2024: 389-406
• 
  Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo:
  Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning. ECML/PKDD (6) 2024: 199-216
• 
  A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
  Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. ECML/PKDD (6) 2024: 234-250
• 
  Ashish Kumar, Durga Toshniwal:
  Modeling Text-Label Alignment for Hierarchical Text Classification. ECML/PKDD (6) 2024: 163-179
• 
  Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou:
  HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction. ECML/PKDD (6) 2024: 354-370
• 
  Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac:
  Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport. ECML/PKDD (6) 2024: 21-38
• 
  Khac-Hoang Ngo, Johan Östman, Giuseppe Durisi, Alexandre Graell i Amat:
  Secure Aggregation Is Not Private Against Membership Inference Attacks. ECML/PKDD (6) 2024: 180-198
• 
  George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang:
  Uplift Modeling Under Limited Supervision. ECML/PKDD (6) 2024: 127-144
• 
  Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
  Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. ECML/PKDD (6) 2024: 39-56
• 
  Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha:
  Towards Few-Shot Self-explaining Graph Neural Networks. ECML/PKDD (6) 2024: 109-126
• 
  Victor Quétu, Zhu Liao, Enzo Tartaglione:
  The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth. ECML/PKDD (6) 2024: 92-108
• 
  Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott:
  Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families. ECML/PKDD (6) 2024: 320-336
• 
  Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron:
  Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport. ECML/PKDD (6) 2024: 269-286
• 
  Changsheng Shui, Xiang Li, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu:
  Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation. ECML/PKDD (6) 2024: 423-440
• 
  Yize Sui, Jing Ren, Huibin Tan, Huan Chen, Zhaoye Li, Ji Wang:
  Enhancing LLM's Reliability by Iterative Verification Attributions with Keyword Fronting. ECML/PKDD (6) 2024: 251-268
• 
  Hirofumi Suzuki:
  LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-gaussian Structural Equation Model. ECML/PKDD (6) 2024: 217-233
• 
  Juliane Weilbach, Sebastian Gerwinn, Karim Said Barsim, Martin Fränzle:
  Counterfactual-Based Root Cause Analysis for Dynamical Systems. ECML/PKDD (6) 2024: 303-319
• 
  Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
  GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. ECML/PKDD (6) 2024: 337-353
• 
  Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
  HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) 2024: 57-73
• 
  Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
  Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14946, Springer 2024, ISBN 978-3-031-70364-5 [contents]