Copertina

Predicting the Unpredictable: Reproducible BiLSTM Forecasting of Incident Counts in the Global Terrorism Database (GTD)

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Adegoke, Oluwasegun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BiLSTM-VHP: BiLSTM-Powered Network for Viral Host Prediction
di: Efat, Azher Ahmed, et al.
Pubblicazione: (2025)

Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
di: Albelali, Salma, et al.
Pubblicazione: (2025)

Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM
di: Akhter, Kazi Fuad Bin, et al.
Pubblicazione: (2024)

A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
di: Kavianpour, Parisa, et al.
Pubblicazione: (2021)

Parallel BiLSTM-Transformer networks for forecasting chaotic dynamics
di: Ma, Junwen, et al.
Pubblicazione: (2025)

BiLSTM and Attention-Based Modulation Classification of Realistic Wireless Signals
di: Udaiwal, Rohit, et al.
Pubblicazione: (2024)

Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
di: Nanyonga, Aziida, et al.
Pubblicazione: (2025)

A Novel Hybrid Approach for Tornado Prediction in the United States: Kalman-Convolutional BiLSTM with Multi-Head Attention
di: Zhou, Jiawei
Pubblicazione: (2024)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
di: Cheng, Yu, et al.
Pubblicazione: (2025)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
di: Din, Riaz Ud, et al.
Pubblicazione: (2024)

Explore BiLSTM-CRF-Based Models for Open Relation Extraction
di: Ni, Tao, et al.
Pubblicazione: (2021)

EEG Emotion Classification Using an Enhanced Transformer-CNN-BiLSTM Architecture with Dual Attention Mechanisms
di: Karim, S M Rakib UI, et al.
Pubblicazione: (2026)

An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
di: Basora, Marc Garreta, et al.
Pubblicazione: (2025)

An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems
di: Shen, Hongrui, et al.
Pubblicazione: (2024)

A Lightweight CNN-Attention-BiLSTM Architecture for Multi-Class Arrhythmia Classification on Standard and Wearable ECGs
di: Thota, Vamsikrishna, et al.
Pubblicazione: (2025)

Asymmetric-Loss-Guided Hybrid CNN-BiLSTM-Attention Model for Industrial RUL Prediction with Interpretable Failure Heatmaps
di: Abdullah, Mohammed Ezzaldin Babiker
Pubblicazione: (2026)

BiLCNet : BiLSTM-Conformer Network for Encrypted Traffic Classification with 5G SA Physical Channel Records
di: Ma, Ke, et al.
Pubblicazione: (2025)

Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin
di: Neto, Joao Carmo de Almeida, et al.
Pubblicazione: (2025)

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
di: Khan, Saud, et al.
Pubblicazione: (2022)

CNN-BiLSTM for sustainable and non-invasive COVID-19 detection via salivary ATR-FTIR spectroscopy
di: Junior, Anisio P. Santos, et al.
Pubblicazione: (2025)

FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics
di: Hossain, Mabsur Fatin Bin, et al.
Pubblicazione: (2024)

An Open-Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting
di: Velarde, Gissel, et al.
Pubblicazione: (2025)

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
di: Tazaki, Rina, et al.
Pubblicazione: (2025)

A Fusion-Driven Approach of Attention-Based CNN-BiLSTM for Protein Family Classification -- ProFamNet
di: Ali, Bahar, et al.
Pubblicazione: (2024)

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
di: Yang, Yue, et al.
Pubblicazione: (2025)

UBiGTLoc: A Unified BiLSTM-Graph Transformer Localization Framework for IoT Sensor Networks
di: Lehyeh, Ayesh Abu, et al.
Pubblicazione: (2026)

A Benchmark of State-Space Models vs. Transformers and BiLSTM-based Models for Historical Newspaper OCR
di: Agbeti-messan, Merveilles, et al.
Pubblicazione: (2026)

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
di: Aburass, Sanad, et al.
Pubblicazione: (2023)

CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention
di: Chen, Mufeng, et al.
Pubblicazione: (2026)

Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework
di: Kundu, Niloy Kumar, et al.
Pubblicazione: (2024)

GCBLANE: A graph-enhanced convolutional BiLSTM attention network for improved transcription factor binding site prediction
di: Ferrao, Jonas Chris, et al.
Pubblicazione: (2025)

TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting
di: Din, Raiz Ud, et al.
Pubblicazione: (2026)

Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
di: Nokhiz, Pegah, et al.
Pubblicazione: (2025)

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
di: Cheng, Cheng, et al.
Pubblicazione: (2025)

Evaluating BiLSTM and CNN+GRU Approaches for Human Activity Recognition Using WiFi CSI Data
di: Wakili, Almustapha A., et al.
Pubblicazione: (2025)

Air Quality Prediction Using LOESS-ARIMA and Multi-Scale CNN-BiLSTM with Residual-Gated Attention
di: Pahari, Soham, et al.
Pubblicazione: (2025)

Enhancing Interpretability of AR-SSVEP-Based Motor Intention Recognition via CNN-BiLSTM and SHAP Analysis on EEG Data
di: Yang, Lin, et al.
Pubblicazione: (2025)

CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection
di: Alhamdan, Hanadi, et al.
Pubblicazione: (2026)

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
di: Ganesh, Anirudh, et al.
Pubblicazione: (2025)

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
di: Puoti, Francesco, et al.
Pubblicazione: (2025)