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Publication search results
found 735 matches
- 2024
- Pablo Millan Arias:
Deep Unsupervised Learning for Biodiversity Analyses: Representation learning and clustering of bacterial, mitochondrial, and barcode DNA sequences. University of Waterloo, Ontario, Canada, 2024 - Azqa Nadeem:
Understanding Adversary Behavior via XAI: Leveraging Sequence Clustering To Extract Threat Intelligence. Delft University of Technology, Netherlands, 2024 - Connor T. Heaton, Prasenjit Mitra:
Embedding and Clustering Multi-Entity Sequences. IEEE Access 12: 57492-57503 (2024) - Nat Pavasant, Takashi Morita, Masayuki Numao, Ken-ichi Fukui:
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining. Int. J. Data Sci. Anal. 17(3): 275-288 (2024) - Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai:
Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR). J. Comput. Graph. Stat. 33(2): 379-392 (2024) - Mudi Jiang, Lianyu Hu, Xin Han, Yong Zhou, Zengyou He:
A randomized algorithm for clustering discrete sequences. Pattern Recognit. 151: 110388 (2024) - Keith D. Levin, Brenda Betancourt:
Fast generation of exchangeable sequences of clusters data. Stat. Comput. 34(2): 72 (2024) - Jinchuan Qian, Chihang Wei, Zhihuan Song:
A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering. IEEE Trans. Ind. Informatics 20(2): 3025-3033 (2024) - Grant Greenberg, Ilan Shomorony:
The Metagenomic Binning Problem: Clustering Markov Sequences. IEEE Trans. Mol. Biol. Multi Scale Commun. 10(1): 32-42 (2024) - Anass El Houd, Benoît Piranda, Raphael De Matos, Julien Bourgeois:
Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach. AIAI (2) 2024: 115-128 - Zhen Ju, Mingyu Wang, Xuelei Li, Jintao Meng, Wenhui Xi, Yanjie Wei:
An In-Depth Assessment of Sequence Clustering Software in Bioinformatics. ISBRA (1) 2024: 359-370 - Philip Winkler, Kristina Rosenthal, Stefan Strecker:
Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences. Modellierung 2024: 25-42 - Thomas Guyet, Pierre Pinson, Enoal Gesny:
Clustering of timed sequences - Application to the analysis of care pathways. CoRR abs/2404.15379 (2024) - Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei:
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering. CoRR abs/2404.15805 (2024) - Redemptor Jr Laceda Taloma, Patrizio Pisani, Danilo Comminiello:
Concrete Dense Network for Long-Sequence Time Series Clustering. CoRR abs/2405.05015 (2024) - Fatemeh Alipour, Kathleen A. Hill, Lila Kari:
CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA Sequences. CoRR abs/2407.02538 (2024) - 2023
- Moses Amoasi Acquah, Yuwei Jin, Byeong-Chan Oh, Yeong-Geon Son, Sung-Yul Kim:
Spatiotemporal Sequence-to-Sequence Clustering for Electric Load Forecasting. IEEE Access 11: 5850-5863 (2023) - Dong Sik Kim:
Finding the Number of Clusters Using a Small Training Sequence. IEEE Access 11: 25932-25940 (2023) - Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan:
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies. Briefings Bioinform. 24(1) (2023) - Pablo Millan Arias, Kathleen A. Hill, Lila Kari:
iDeLUCS: a deep learning interactive tool for alignment-free clustering of DNA sequences. Bioinform. 39(9) (2023) - Konrad Abramowicz, Sara Sjöstedt de Luna, Johan Strandberg:
Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data. Comput. Stat. Data Anal. 177: 107583 (2023) - Fotis A. Baltoumas, Evangelos Karatzas, David Páez-Espino, Nefeli K. Venetsianou, Eleni Aplakidou, Anastasis Oulas, Robert D. Finn, Sergey Ovchinnikov, Evangelos Pafilis, Nikos Kyrpides, Georgios A. Pavlopoulos:
Exploring microbial functional biodiversity at the protein family level - From metagenomic sequence reads to annotated protein clusters. Frontiers Bioinform. 3 (2023) - Zhengjiang Wu, Xuyang Wu, Junwei Luo:
Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering. Int. J. Comput. Intell. Syst. 16(1): 175 (2023) - Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. Int. J. Data Sci. Anal. 15(4): 359-378 (2023) - Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso:
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences. Inf. Sci. 624: 467-492 (2023) - Mudi Jiang, Jiaqi Wang, Lianyu Hu, Zengyou He:
Random forest clustering for discrete sequences. Pattern Recognit. Lett. 174: 145-151 (2023) - Amir Jalaly Bidgoly, Hossein Amirkhani, Razieh Baradaran:
Clustering-based Sequence to Sequence Model for Generative Question Answering in a Low-resource Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 57:1-57:14 (2023) - Jun-Ho Lee, Hyun-Jung Kim:
The Impact of Processing Time Variations on Swap Sequence Performance in Dual-Armed Cluster Tools. IEEE Trans Autom. Sci. Eng. 20(4): 2668-2677 (2023) - Arnab Kumar Mondal, Indu Joshi, Pravendra Singh, Prathosh AP:
Clustering Single-Cell RNA Sequence Data Using Information Maximized and Noise-Invariant Representations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1983-1994 (2023) - Ze-Gang Wei, Xu Chen, Xiao-Dan Zhang, Hao Zhang, Xing-Guo Fan, Hongyan Gao, Fei Liu, Yu Qian:
Comparison of Methods for Biological Sequence Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2874-2888 (2023)
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