Cover Image

A Multisource Fusion Framework for Cryptocurrency Price Movement Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dashtaki, Saeed Mohammadi, Dashtaki, Reza Mohammadi, Chagahi, Mehdi Hosseini, Moshiri, Behzad, Piran, Md. Jalil
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
by: Chagahi, Mehdi Hosseini, et al.
Published: (2025)

AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques
by: Delfan, Niloufar, et al.
Published: (2024)

An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus
by: Fatahi, Mohammad, et al.
Published: (2025)

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks
by: Karami, Mohammad, et al.
Published: (2025)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024)

Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)

Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
by: Amirzadeh, Rasoul, et al.
Published: (2023)

Explaining Large Language Models Decisions Using Shapley Values
by: Mohammadi, Behnam
Published: (2024)

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
by: Moghaddam, Alireza Sedighi, et al.
Published: (2025)

Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches
by: Safarzadeh, Alireza, et al.
Published: (2025)

Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
by: Vuong, An, et al.
Published: (2025)

Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
by: Smyl, Slawek, et al.
Published: (2025)

Vision-Based Natural Language Scene Understanding for Autonomous Driving: An Extended Dataset and a New Model for Traffic Scene Description Generation
by: Zadeh, Danial Sadrian, et al.
Published: (2026)

Toward Efficient Influence Function: Dropout as a Compression Tool
by: Zhang, Yuchen, et al.
Published: (2025)

A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
by: Jafarigol, Elaheh, et al.
Published: (2023)

Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers
by: Hemmati, Vahid, et al.
Published: (2025)

An explainable approach to detect case law on housing and eviction issues within the HUDOC database
by: Mohammadi, Mohammad, et al.
Published: (2024)

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
by: Derakhshan, Mohammad, et al.
Published: (2025)

PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security
by: Naeini, Hajar Kazemi, et al.
Published: (2025)

Masked Autoencoder with Swin Transformer Network for Mitigating Electrode Shift in HD-EMG-based Gesture Recognition
by: Laamerad, Kasra, et al.
Published: (2024)

Evaluation and Benchmarking of LLM Agents: A Survey
by: Mohammadi, Mahmoud, et al.
Published: (2025)

Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
by: Mohammadi, Majid, et al.
Published: (2025)

Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
by: Mohammadi, Hadi, et al.
Published: (2025)

Exploring Emotions in Multi-componential Space using Interactive VR Games
by: Somarathna, Rukshani, et al.
Published: (2024)

Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
by: Falahati, Ali, et al.
Published: (2024)

Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
by: Alipour, Mohammadsajad, et al.
Published: (2025)

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)

OFMU: Optimization-Driven Framework for Machine Unlearning
by: Asif, Sadia, et al.
Published: (2025)

The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation
by: Falahati, Ali, et al.
Published: (2025)

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
by: Falahati, Ali, et al.
Published: (2026)

Exploring a Hybrid Deep Learning Approach for Anomaly Detection in Mental Healthcare Provider Billing: Addressing Label Scarcity through Semi-Supervised Anomaly Detection
by: Bakker, Samirah, et al.
Published: (2025)

A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
by: Amirzadeh, Rasoul, et al.
Published: (2023)

Reinforcement Learning-Guided Dynamic Multi-Graph Fusion for Evacuation Traffic Prediction
by: Rafi, Md Nafees Fuad, et al.
Published: (2026)

Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
by: Pan, Xiyu, et al.
Published: (2024)

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization
by: Lin, Sida, et al.
Published: (2025)

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification
by: Mohammadi, Marzieh, et al.
Published: (2024)