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ORCIDData Mining and Knowledge Discovery, Volume 39
Volume 39, Number 1, January 2025
- Sae Young Moon, Gregor Kerr, Fran Silavong, Sean J. Moran:
A probabilistic model for API contract specification retrieval focusing on the openAPI standard. 1-24 - Félix Iglesias Vázquez, Henrique O. Marques
, Arthur Zimek, Tanja Zseby:
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy. 1-59 - Gustavo Lúcius Fernandes, Flavio Figueiredo, Raphael Siston Hatushika, Maria Luiza Leão, Breno Augusto Mariano, Bruno Augusto Alemão Monteiro, Fernando Tonucci de Cerqueira Oliveira, Tales Panoutsos, João Pedro Pires, Thiago Martin Poppe, Frederico Zavam:
A systematic review of deep learning for structural geological interpretation. 1-56 - Lamprini Pappa, Petros S. Karvelis, Chrysostomos D. Stylios:
Exploring the diverse world of SAX-based methodologies. 1-78 - Nan Xia, Yin Wang, Run-Fa Zhang, Xiangfeng Luo:
ARL: analogical reinforcement learning for knowledge graph reasoning. 1-22 - Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp:
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data. 1-25 - Shameem Puthiya Parambath, Christos Anagnostopoulos, Saleh Abdullah M. Alfahad:
Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. 7 - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Meta-path based proximity learning in heterogeneous information networks. 8 - Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson:
A new bandit setting balancing information from state evolution and corrupted context. 9 - Inzamamul Alam, Md. Samiullah, S. M. Asaduzzaman, Upama Kabir, A. M. Aahad, Simon S. Woo:
MIRACLE: Malware image recognition and classification by layered extraction. 10
Volume 39, Number 2, March 2025
- Maodi Hu, Donghuan Song, Li Qian, Zhixiong Zhang:
Domain-level relation extraction for informative taxonomy learning. 11 - Giulia Bernardini, Chang Liu, Grigorios Loukides, Alberto Marchetti-Spaccamela, Solon P. Pissis, Leen Stougie, Michelle Sweering:
Missing value replacement in strings and applications. 12 - Braulio Valentin Sanchez Vinces, Erich Schubert, Arthur Zimek, Robson L. F. Cordeiro:
A comparative evaluation of clustering-based outlier detection. 13 - Chang Wei Tan, Matthieu Herrmann, Mahsa Salehi, Geoffrey I. Webb:
Proximity forest 2.0: a new effective and scalable similarity-based classifier for time series. 14 - Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng:
TED: related party transaction guided tax evasion detection on heterogeneous graph. 15 - Lutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano:
Inferring tie strength in temporal networks. 16
Volume 39, Number 3, May 2025
- Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando Silva:
Multilayer horizontal visibility graphs for multivariate time series analysis. 17 - Eugênio F. Cabral, Braulio Valentin Sanchez Vinces, Guilherme D. F. Silva, Jörg Sander, Robson L. F. Cordeiro:
Efficient outlier detection in numerical and categorical data. 18 - Karan Vombatkere, Aristides Gionis, Evimaria Terzi:
Forming coordinated teams that balance task coverage and expert workload. 19 - Alessandro Hill, Kalen Goo, Puneet Agarwal:
Recommending the right academic programs: an interest mining approach using BERTopic. 20 - Min Zhang, Xiao Liao, Xinlei Wang, Xiaojuan Wang, Lei Jin:
Multi-neighbor social recommendation with attentional graph convolutional network. 21 - Mostafa Mirzaie, Behshid Behkamal, Mohammad Allahbakhsh, Samad Paydar, Elisa Bertino:
Ada-Context: adaptive context-aware grid-based approach for curation of data streams. 22 - Henrik Biermann, Daniel Memmert, Niklas Petersen, Dominik Raabe:
Contextualization of soccer analysis with tactical periodization and machine learning. 23 - Vahideh Monemizadeh, Kourosh Kiani:
Detecting anomalies using rotated isolation forest. 24 - Shitong Xiao, Rui Chen, Hongtao Song, Riwei Lai, Qilong Han, Li Li:
Proxy-enhanced cross-domain sequential recommendation. 25 - Liming Bao, Yan Wang, Xiaoyu Song:
HyEED: embedding learning of knowledge graphs with entity description in hyperbolic space. 26 - Alberto Azzari, Manuele Bicego, Carlo Combi, Andrea Cracco, Pietro Sala:
TSRF-Dist: a novel time series distance based on extremely randomized canonical interval forests. 27
Volume 39, Number 4, July 2025
- Bharadwaj Sudarsan, Ganesh Kumar Pugalendhi:
Clustering using GRASP and path relinking for the max k-cut problem. 28 - David Cruz, Jorge P. Batista:
Tractable probabilistic models and computational complexity. 29 - Yizhou Li, Yijie Wang, Hongzuo Xu, Bin Li, Xiaohui Zhou:
Deep anomaly detection with partition contrastive learning for tabular data. 30 - Rahul Kumar, João Mendes-Moreira, Joydeep Chandra:
CSCN: an efficient snapshot ensemble learning based sparse transformer model for long-range spatial-temporal traffic flow prediction. 31 - Keqin Shi, Zhihua Ding, Zhen Chen, Hao He, Weiqiang Sun, Weisheng Hu:
A multi-scale time series forecasting framework with temporal hierarchical information fusion and reconciliation. 32 - Weihua Gong, Genhang Shen, Anlun Zhao, Lianghuai Yang, Zhen Cheng:
Deep graph embedding learning based on multi-variational graph autoencoders for POI recommendation. 33 - Wenqiong Zhang, Yun Li, Yikai Wang:
Data debiasing via causal diffusion model. 34 - Yinghao Zhang, Tingting Xu, Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Zaiwen Feng:
Data-driven learning optimal K values for K-nearest neighbour matching in causal inference. 35 - Guo Zhong, Min Zhong, Shengqi Wu, Yuzhi Liang, Pengfei Song, Shixun Lin, Xiuyun Zhu:
Locality adaptive incomplete multi-view subspace clustering. 36 - Man Yuan, Licheng Xing, Jingshu Yuan, Kexin Zhai:
Knowledge graph completion based on asymmetric translation and automatic entity type representation. 37 - Ioannis Mavroudopoulos, Kostas Tsichlas, Anastasios Gounaris:
Sequential pattern detection: similarities and differences across various fields. 38 - Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff, Aurélie Boisbunon, Illyyne Saffar:
Deep unsupervised domain adaptation for time series classification: a benchmark. 39 - Junjie Dong, Mudi Jiang, Lianyu Hu, Zengyou He:
Hamming encoder: mining discriminative k-mers for discrete sequence classification. 40 - Edward A. Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim:
How robust is your fair model? Exploring the robustness of prominent fairness strategies. 41
Volume 39, Number 5, September 2025
- Yantong Du, Rui Chen, Qilong Han, Qiaoyu Tan, Hongtao Song, Chi Zhang:
Greatmeta: gradient-aware adaptive meta-learning for cold-start recommendations. 42 - Haoyu Chen, Bo Li, Zhiyong An, Yuan Yu, Ying Jia:
SFC: a time series decomposition attention network with continuous nature for time series analysis. 43 - Zhong Li, Yuhang Wang, Matthijs van Leeuwen:
Towards automated self-supervised learning for truly unsupervised graph anomaly detection. 44 - Yizhou Li, Yijie Wang, Hongzuo Xu, Bin Li, Xiaohui Zhou:
Correction: Deep anomaly detection with partition contrastive learning for tabular data. 45 - Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware. 46 - Douglas Monteiro Cavalcanti, Ricardo Cerri, Elaine Ribeiro de Faria:
ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers. 47 - Mathilde Perez, Raphaël Romero, Bo Kang, Tijl De Bie, Jefrey Lijffijt, Charlotte Laclau:
SimHawNet: a modified Hawkes process for temporal network simulation. 48 - Husheng Guo, Zhijie Wu, Zhengqi Liu, Shuai Zhang, Wenjian Wang:
Adaptive interactive network component ensemble for streaming data with concept drift. 49 - Xiaoying Zhi, Varun Babbar, Rundong Liu, Pheobe Sun, Fran Silavong, Ruibo Shi, Sean J. Moran:
Learning a consensus sub-network with polarization regularization and one pass training. 50 - Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. 51 - Frederik Brüning, Anne Driemel, Alperen Ergür, Heiko Röglin:
On the number of iterations of the DBA algorithm. 52 - Lingkai Yang, Sally I. McClean, Malcolm J. Faddy, Mark P. Donnelly, Kashaf Khan, Kevin Burke:
Automating mixture model fitting of task durations for process conformance checking. 53 - Tim Kreuzer, Jelena Zdravkovic, Panagiotis Papapetrou:
Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models. 54
Volume 39, Number 5, September 2025
- Jihoon Ko, Sojeong Kim, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, Noseong Park:
Inductive influence estimation and maximization over unseen social networks under two diffusion models. 55 - Yisi Liu, Sha Tao:
Relation prediction based on the attention-enhanced fusion of graph strcuture and multi-hop neighborhood information in knowledge graphs. 56 - Dinh Phamtoan:
A enhanced fuzzy clustering algorithm for probability density functions and image clustering using Inception Resnet-v2 features. 57 - Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose:
Handling new users and items: a comparative study of inductive recommenders. 58 - Leandro González-Montesino, Darian H. Grass-Boada:
Trace alignment algorithm optimization. 59 - Xiao Gu, Ling Jian:
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation. 60 - Houjie Qiu, Xingkong Ma, Bo Liu, Yiqing Cai, Baoyun Peng, Dan Huang:
PersAD: adversarial protection against text-based personality inference. 61 - Quan Yan, Yuanjing Luo, Zhangdong Wang, Junhua Xi, Geming Xia, Zhiping Cai:
Spatiotemporal attention-based real-time video watermarking. 62 - Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi:
Guiding the generation of counterfactual explanations through temporal background knowledge for predictive process monitoring. 63 - Riku Green, Grant Stevens, Zahraa S. Abdallah, Telmo de Menezes e Silva Filho:
Stratify: unifying multi-step forecasting strategies. 64 - Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Gradient boosted bagging for evolving data stream regression. 65 - Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guandong Xu:
Large language models are few-shot multivariate time series classifiers. 66 - Donghee Han, Daeyoung Roh, Euihwan Han, Hwanjun Song, Mun Yong Yi:
Fine-grained multi-prompt essay scoring with multi-level disentanglement. 67 - Yuhan Lin, Liping Xiong, Zhiyong Hong, Zhiqiang Zeng, Jian Zeng, Guoqiang Zeng:
Crossmamba: multivariate time series forecasting model for cross-temporal and cross-dimensional dependencies with Mamba. 68
Volume 39, Number 6, November 2025
- Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella, Jaron Sanders:
Detection and evaluation of clusters within sequential data. 69 - Jie Peng, Yongxue Shan, Yongfu Zha, Xiaodong Wang:
Adaptive multimodal graph learning for knowledge graph completion. 70 - Taha Halal, Bogdan Cautis, Benoît Groz, Ruize Gao:
Topic-aware influence maximization with deep reinforcement learning and graph attention networks. 71 - Manjusha Ravindranath, K. Selçuk Candan, Brian Appavu:
Metadata supported scale space attention networks for multivariate timeseries prediction. 72 - Rabia Saleem, Ashiq Anjum, Bo Yuan, Lu Liu:
Stable graph based decision route explanation in siamese neural networks. 73 - You Li Chong, Chin-Poo Lee, Ming Kim Lim:
Distilcyphergpt: enhancing large language models for knowledge graph question answering in cypher through knowledge distillation. 74 - Wenjie Zhang, Tianyang Xu, Yang Hua, Zhenhua Feng, Xiaoning Song:
Fastere: a fast framework for entity relation extractions. 75 - Loren Nuyts, Lorenzo Perini, Jesse Davis:
TSelect: selecting relevant and non-redundant channels for multivariate time series classification. 76 - Abhinav Kumar, Anjali Kumari, Pawan Kumar, Ravins Dohare:
Overlapping community detection with a new modularity measure in directed weighted networks. 77 - Xinyu Lu, Hao Li, Wei Lu, Yanshuo Chang, Feng Xue:
HRHE: hybrid relations-guided multi-modal knowledge graph completion using hierarchical embeddings. 78 - Lawrence B. Holder, Baxter Eaves, Patrick Shafto, Christopher Pereyda, Brian L. Thomas, Diane J. Cook:
Detecting and reacting to smart home novelties. 79 - Joeun Kim, Youngjin Seo, Yeonsoo Kim, Junhyeok Kang, Jeeho Shin, Patara Trirat, Jae-Gil Lee:
Large language models are zero-shot point-of-interest recommenders. 80 - Chenxi Hu, Tao Wu, Chunsheng Liu, Chao Chang:
JammyTS: joint attention and memory network for temporal scoping of facts. 81 - Sijing Tu, Aleksa Stankovic, Stefan Neumann, Aristides Gionis:
Optirefine: densest subgraphs and maximum cuts with k refinements. 82 - Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar:
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data. 83 - Maryam Badar, Raneen Younis, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
Fed-FUEL: fairness and utility enhancing agnostic federated learning framework. 84 - Ruivaldo Lobão-Neto, Brenno de Mello Alencar, Heitor Murilo Gomes, Albert Bifet, João Gama, Guilherme Weigert Cassales, Ricardo Araújo Rios:
RMIDDM: an unsupervised and interpretable concept drift detection method for data streams. 85 - Aras Yurtman, Daan Van Wesenbeeck, Wannes Meert, Hendrik Blockeel:
Steering the LoCoMotif: Using domain knowledge in time series motif discovery. 86 - Wenqian Zhao, Kai Yang, Yuan Liu, Peijin Ding, Zijuan Zhao:
Multi-relational knowledge graph contrastive learning for link prediction. 87 - Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
Indexing demand response potential at multiple temporal granularity using network theory based analysis. 88 - Ataollah Kamal, Alessio Ragno, Marc Plantevit, Céline Robardet:
Leveraging internal representations of GNNs with Shapley values. 89 - Kenny Schlegel, Dmitri A. Rachkovskij, Denis Kleyko, Ross W. Gayler, Peter Protzel, Peer Neubert:
Structured temporal representation in time series classification with ROCKETs and hyperdimensional computing. 90 - Jian Zhu, Sanmin Liu, Subin Huang, Ping Zhang, Wentao Yu, Tuyi Zhang, Guoyi Zhang:
Online transfer learning framework for label scarcity in evolving data streams. 91 - Thanh Le, Trong-Nghia Pham:
Temporal-Aware bicomplex embeddings with implicit attention for knowledge graph link prediction. 92
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