Optimal User Categorization from a Hierarchical Clustering Tree for Recommendation

von Song, Wei
Veröffentlicht in IEA/AIE (35. : 2022 : Kitakyūshū) Advances and trends in artificial intelligence (2022)

EVENT OUTLIER DETECTION IN CONTINUOUS TIME

von LIU, SIQI
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

NONPARAMETRIC REGRESSIVE POINT PROCESSES BASED ON CONDITIONAL GAUSSIAN PROCESSES

von Liu, Siqi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

Ren min fa yuan shen pan quan yun xing zhi du ji qi gai ge wen ti yan jiu

von Liu, Siqi
Veröffentlicht 20203

Abnormal investment and firm performance

von Liu, Siqi
Veröffentlicht in International review of financial analysis (2021)

Design of Active Power Control Parameters Based on Real-Time Rain-Flow Counting Method

von Liu, Ziqi
Veröffentlicht in China Electrotechnical Society (16. : 2021 : Peking) The proceedings of the 16th Annual Conference of China Electrotechnical Society ; Volume 2, set 2 (2022)

Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-Sum Games

von Liu, Siqi
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)

Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

von Yin, Chong
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 5 (2021)

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers

von Marris, Luke
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 8 of 50 (2023)

Image Super-Resolution Based on Residual Block Dense Connection

von Chen, Juan
Veröffentlicht in KSEM (14. : 2021 : Tokio) Knowledge science, engineering and management ; Part 3 (2021)

A bibliometric review of a decade of research : big data in business research : setting a research agenda

von Zhang, Yucheng
Veröffentlicht in Journal of business research (2021)

Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction

von Wang, Heng
Veröffentlicht in MLMI (12. : 2021 : Straßburg) Machine Learning in Medical Imaging (2021)

Bandit Samplers for Training Graph Neural Networks

von Liu, Ziqi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

von Zhu, Zhibo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

LEARNING CORRELATED COMMUNICATION TOPOLOGY IN MULTI-AGENT REINFORCEMENT LEARNING

von Du, Yali
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 1 of 3 (2021)

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign

von Cai, Tianchi
Veröffentlicht in DASFAA (26. : 2021 : Online) Database systems for advanced applications ; Part 3 (2021)

The location-allocation model for multi-classification-yard location problem

von Lin, Boliang
Veröffentlicht in Transportation research / E (2019)

AGL: A Scalable System for Industrial-purpose Graph Machine Learning

von Zhang, Dalong
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 5 of 5 (2020)

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival

von Yu, Qianyu
Veröffentlicht in APWeb-WAIM (5. : 2021 : Kanton) Web and big data ; Part 1 (2021)