Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: Malino*
Treffer 28 von 2152
|
|
| Link zu diesem Datensatz | https://d-nb.info/1342299736 |
| Art des Inhalts | Konferenzschrift |
| Titel | Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko |
| Person(en) |
Wand, Michael (Herausgeber) Malinovská, Kristína (Herausgeber) Schmidhuber, Jürgen (Herausgeber) Tetko, Igor (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXIV, 495 p. 155 illus., 143 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-72355-1 Printed edition:: ISBN: 978-3-031-72357-5 |
| Inhalt | -- Human-Computer Interfaces. -- Combining Contrastive Learning and Sequence Learning for Automated Essay Scoring. -- PIDM: Personality-aware Interaction Diffusion Model for gesture generation. -- Prompt Design using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue. -- Recommender Systems. -- Click-Through Rate Prediction Based on Filtering-enhanced with Multi-Head Attention. -- Enhancing Sequential Recommendation via Aligning Interest Distributions. -- LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System. -- Multi-intent Aware Contrastive Learning for Sequential Recommendation. -- Subgraph Collaborative Graph Contrastive Learning for Recommendation. -- Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation. -- Environment and Climate. -- Carbon Price Forecasting with LLM-based Refinement and Transfer-Learning. -- Challenges, Methods, Data – a Survey of Machine Learning in Water Distribution Networks. -- Day-ahead scenario analysis of wind power based on ICGAN and IDTW-Kmedoids. -- Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models. -- Hybrid CNN-MLP for Wastewater Quality Estimation. -- Short-term Forecasting of Wind Power Using CEEMDAN-ICOA-GRU Model. -- City Planning. -- Predicting City Origin-Destination Flow with Generative Pre-training. -- Vehicle-based Evolutionary Travel Time Estimation with Deep Meta Learning. -- Machine Learning in Engineering and Industry. -- APF-DQN: Adaptive Objective Pathfinding via Improved Deep Reinforcement Learning among Building Fire Hazard. -- DDPM-MoCo: Enhancing the Generation and Detection of Industrial Surface Defects through Generative and Contrastive Learning. -- Detecting Railway Track Irregularities Using Conformal Prediction. -- Identifying the Trends of Technological Convergence between Domains using a Heterogeneous Graph Perspective: A Case Study of the Graphene Industry. -- Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers. -- RD-Crack: A Study of Concrete Crack Detection Guided by a Residual Neural Network Improved Based on Diffusion Modeling. -- Applications in Finance. -- Anomaly Detection in Blockchain Using Multi-source Embedding and Attention Mechanism. -- Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems. -- MSIF: Multi-Source Information Fusion for Financial Question Answering. -- Artificial Intelligence in Education. -- A Temporal-Enhanced Model for Knowledge Tracing. -- Social Network Analysis. -- Position and type aware anchor link prediction across social networks. -- Artificial Intelligence and Music. -- LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. -- Software Security. -- Ch4os: Discretized Generative Adversarial Network for Functionality-preserving Evasive Modification on Malware. -- SSA-GAT: Graph-based Self-supervised Learning for Network Intrusion Detection |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2409180420347.660033302713 DOI: 10.1007/978-3-031-72356-8 |
| URL | https://doi.org/10.1007/978-3-031-72356-8 |
| ISBN/Einband/Preis | 978-3-031-72356-8 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15024 |
| DDC-Notation | 004.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 28 von 2152
Administration
