Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
Treffer 75 von 37997
|
|
| Link zu diesem Datensatz | https://d-nb.info/1372375244 |
| Titel | Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XXVI / edited by De-Shuang Huang, Haiming Chen, Bo Li, Qinhu Zhang |
| Person(en) |
Huang, De-Shuang (Herausgeber) Chen, Haiming (Herausgeber) Li, Bo (Herausgeber) Zhang, Qinhu (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXI, 515 p. 192 illus., 169 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9500-29-1 Printed edition:: ISBN: 978-981-9500-31-4 |
| Inhalt | -- Cheminformatics. -- Topological Analysis of F-Multiplicity Corona Graphs: Zagreb Indices and Applications in Molecular Design. -- Graph-based Multi-scale Learning for Predicting Mass Spectra from Molecules. -- A Universal Periodicity Injection Module for Crystal Property Prediction. -- SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTE–ENN and CNN+BiLSTM Integration. -- Systems Biology. -- SpatialDSSC: Estimating Cell Type Abundance and Expression Profile from Spatial Transcriptomic Data. -- Cuproptosis-related genes are correlated with prognostic and immune infiltration in skin cutaneous melanoma patients. -- CS-Phylo: Accelerating Evolutionary Distance Estimation with Closed Syncmer-Enhanced MinHash. -- Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers. -- SGAEMVN: a hybrid neighborhood-based graph attention autoencoder for identifying spatial domains from spatial transcriptomics. -- MMF2Drug: A Multi-Modal Feature Fusion Method for Improving Targeted Drug Design. -- DFDGRU-DTI: Drug-Target Interaction Prediction Based on Random Walk Embeddings and Bidirectional GRU Neural Network. -- RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation. -- Feature Attribution-based Explanation Comparison of Magnetoencephalography Decoding Models. -- scAFC: Adaptive Fusion Clustering of Single-cell RNA-seq Data through Autoencoder and Graph Attention Networks. -- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction Prediction. -- MedMaskDiff: Mamba-based Medical Semantic Image Synthesis for Segmentation. -- Image Clarity Combination Method Based on Hybrid Sampling. -- PDA-PAGCN: Predicting Disease-Related piRNA Based on Proxy Attention Graph Convolutional Network. -- CALM-AcPEP: Predicting Anticancer Peptides using Cross-Attention and Pre-trained Language Model. -- ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer Peptide Prediction Using Multi-Source Feature Integration. -- Multimodal GAN Integrating Hypergraph and Knowledge Graph Representations for Synthetic Lethality. -- EdgeViewDet: Dynamic Edge-Centric Fusion Network with Granger Causality for Neurological Disorders Detection. -- MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs. -- Respiratory Sound Classification via Multi-View Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer. -- Multi-Scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction. -- DiffiT-HSFDA: Diffusion Based Source-Free Domain Adaptation for Histopathology. -- Dual-channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment. -- Whole Slide Images Based Cancer Survival Prediction Using Multi-Task Learning. -- Leveraging DermoGrabcut Segmentation for Improved CNN-Based Skin Lesion Classification. -- VirB: A Virus Hierarchical Classification Method Based on ModernBERT. -- FAPE-DTI: Enhancing Drug–Target Interaction Prediction with Focal Attention and Relative Positional Encoding. -- An Adaptive Multi-View Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-drug Interactions. -- E-MSNGO: Explainable Multi-species Protein Function Prediction Model based on Aggregated Networks. -- PRNet: A Contrastive Ranking Model Based on 3D Convolution and Bi LSTM for ChRs Prediction. -- DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO via the Evolutionary Scale Modeling Framework. -- scGECA: a Graph Embedded Representation Learning Approach with Dynamic Attention Mechanism for Single-cell Clustering. -- ChemTransGNN++: From Reactants to Products via Multiscale Graph Transformer Modeling of Reaction Pathways. -- ReAlign-Star: An Optimized Realignment Method for Multiple Sequence Alignment, Targeting Star Algorithm Tools. -- FMAlign3: A Scalable and Adaptive Framework for Large-Scale Multiple Sequence Alignment. -- Enough Consecutive Matches in k-Tuple Common Substrings. -- DeepCatl: A combination of channel attention mechanism and Transformer encoding to predict transcription factor binding sites. -- FDA-YOLO: Fast Domain Adaptation YOLO for Cross-Domain Brain Tumor Detection in Medical Imaging. -- Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2507250409310.075337980293 DOI: 10.1007/978-981-95-0030-7 |
| URL | https://doi.org/10.1007/978-981-95-0030-7 |
| ISBN/Einband/Preis | 978-981-95-0030-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Bioinformatics ; 15867 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 75 von 37997
Administration
