MLCB 2024: Seattle, WA, USA

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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  - conf/mlcb/2024
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David A. Knowles, Sara Mostafavi:
Machine Learning in Computational Biology, 5-6 September 2024, Seattle, WA, USA. Proceedings of Machine Learning Research 261, PMLR 2024
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  - conf/mlcb/ZhaoAB24
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Haowen Zhao, Francesco A. Aprile, Barbara Bravi:
Computational design of target-specific linear peptide binders with TransformerBeta. 1-27
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  - conf/mlcb/GaddY24
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Charles Gadd, Christopher Yau:
Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles. 28-37
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  - conf/mlcb/NallapareddyCGNV24
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Mohan Vamsi Nallapareddy, Francesco Craighero, Cédric Gobet, Felix Naef, Pierre Vandergheynst:
Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations. 38-52
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  - conf/mlcb/LiuYJK24
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Renming Liu, Hao Yuan, Kayla A. Johnson, Arjun Krishnan:
CONE: COntext-specific Network Embedding via Contextualized Graph Attention. 53-71
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  - conf/mlcb/Zhang24
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Stephen Y. Zhang:
Joint trajectory and network inference via reference fitting. 72-85
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  - conf/mlcb/HermannFNNB24
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Leon Hermann, Tobias Fiedler, Hoang An Nguyen, Melania Nowicka, Jakub M. Bartoszewicz:
Beware of Data Leakage from Protein LLM Pretraining. 106-116
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  - conf/mlcb/HaririV24
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Ali Hariri, Pierre Vandergheynst:
Graph learning for capturing long-range dependencies in protein structures. 117-128
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  - conf/mlcb/TreydeKBA24
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Wojtek Treyde, Seohyun Chris Kim, Nazim Bouatta, Mohammed AlQuraishi:
QuickBind: A Light-Weight And Interpretable Molecular Docking Model. 129-152
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  - conf/mlcb/Dip24
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Sajib Acharjee Dip:
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model. 153-161
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  - conf/mlcb/MacaulaySVAHTZS24
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Oladimeji Macaulay, Michael Servilla, Kushal Virupakshappa, David Arredondo, Yue Hu, Luis E. Tafoya, Yanfu Zhang, Avinash Sahu:
MedGraphNet: Leveraging Multi-Relational Graph Neural Networks and Text Knowledge for Biomedical Predictions. 162-182

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