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Publication search results
found 117 matches
- 2024
- Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. ICDM 2024: 675-680 - Alexey Zaytsev, Maria Kovaleva, Alex Natekin, Evgeni Vorsin, Valerii Smirnov, Georgii Smirnov, Oleg Sidorshin, Alexander Senin, Alexander Dudin, Dmitry Berestnev:
Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a Competition. ICDM 2024: 600-609 - Zhidan Liu, Jinye Lin, Zhiyu Xia, Chao Chen, Kaishun Wu:
Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism. ICDM 2024: 261-270 - Zhao Zhang, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang, Meng Wang:
Emotional Synchronization for Audio-Driven Talking-Head Generation. ICDM 2024: 610-618 - Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng:
Early Fire Detection Based on Local Morphological Knowledge Matching. ICDM 2024: 490-499 - Li Qian, Claudia Plant, Yalan Qin, Jing Qian, Christian Böhm:
DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction. ICDM 2024: 827-832 - Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu:
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. ICDM 2024: 590-599 - Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo:
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. ICDM 2024: 11-20 - Shujie Han, Zirui Ou, Qun Huang, Patrick P. C. Lee:
Scaling Disk Failure Prediction via Multi-Source Stream Mining. ICDM 2024: 131-140 - Ling Li, Wiktor Zuba, Grigorios Loukides, Solon P. Pissis
, Maria Matsangidou:
Scalable Order-Preserving Pattern Mining. ICDM 2024: 211-220 - Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang:
GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. ICDM 2024: 141-150 - Lu Zhang, Chenbo Zhang, Jihong Guan, Shuigeng Zhou:
Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class. ICDM 2024: 947-952 - Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar:
Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. ICDM 2024: 1-10 - Sahar Batmani, Parham Moradi, Narges Heidari, Mahdi Jalili:
An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews. ICDM 2024: 669-674 - Alexandra Bazarova, Evgenia Romanenkova
, Alexey Zaytsev:
Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. ICDM 2024: 21-30 - Amin Birashk
, Sadaf Md. Halim, Latifur Khan:
Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. ICDM 2024: 681-686 - Cristian Boldrin
, Fabio Vandin:
Fast and Accurate Triangle Counting in Graph Streams Using Predictions. ICDM 2024: 31-40 - Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani:
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. ICDM 2024: 61-70 - Jiazhen Chen, Sichao Fu
, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng:
Towards Cross-Domain Few-Shot Graph Anomaly Detection. ICDM 2024: 51-60 - Jiangwen Chen, Kou Guang, Huang Yan, Qiyang Li, Tan Hao:
Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR). ICDM 2024: 41-50 - Qingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li
, Lin Liu, Shichao Zhang:
A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems. ICDM 2024: 71-80 - Michele Craighero, Giorgio Rossi, Beatrice Rossi, Diego Carrera, Diego Stucchi, Pasqualina Fragneto, Giacomo Boracchi:
SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning. ICDM 2024: 687-692 - Alice Dethise, Marco Canini
:
Continuous Exact Explanations of Neural Networks. ICDM 2024: 81-90 - Guangwei Dong, Xuexiong Luo, Jing Du
, Jia Wu
, Shan Xue
, Jian Yang
, Amin Beheshti
:
Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis. ICDM 2024: 91-100 - Jamie Andrew Duell, Monika Seisenberger, Hsuan Fu, Xiuyi Fan:
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations. ICDM 2024: 693-698 - Ulugbek Ergashev, Geon Lee, Kijung Shin, Eduard C. Dragut, Weiyi Meng:
Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding. ICDM 2024: 101-110 - Shintaro Fukushima
, Kenji Yamanishi:
Graph Community Augmentation with GMM-Based Modeling in Latent Space. ICDM 2024: 111-120 - Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy:
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment. ICDM 2024: 699-704 - Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu
, Yang Zhang, Lina Yao, Quan Z. Sheng
, Jian Yang
:
TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. ICDM 2024: 121-130 - Chengkun He, Xiangmin Zhou, Chen Wang, Longbing Cao
, Jie Shao, Zahir Tari:
Influence-Aware Group Recommendation for Social Media Propagation. ICDM 2024: 705-710
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