Del 15024 i serien Lecture Notes in Computer Science

Artificial Neural Networks and Machine Learning – ICANN 2024

33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX

Häftad, Engelska, 2024

AvMichael Wand,Kristína Malinovská,Jürgen Schmidhuber,Igor V. Tetko

1 159 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

and fairness in machine learning.Part II - computer vision: classification; and computer vision: 3D methods. Part III - computer vision: anomaly detection; and topics in computer vision. Part IV - brain-inspired computing;

Produktinformation

Utgivningsdatum2024-09-17
Mått155 x 235 x 29 mm
Vikt797 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor495
FörlagSpringer International Publishing AG
ISBN9783031723551

Tillhör följande kategorier

.- 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 ConversationalRecommender 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 amongBuilding Fire Hazard..- DDPM-MoCo: Enhancing the Generation and Detection of Industrial Surface Defects throughGenerative 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.