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Forecasting

Forecasting user engagement and competing cascades in social media diffusion: A Hawkes-Transformer approach

Wen Zhang, Zhe Jing, Yue Guo

Ionospheric TEC anomalies analysis and prediction during six volcanic eruptions using a Hybrid ML-DL model and comparison with the AR/MLR Models

R. Mukesh, S. Logesh, [ ... ], S. Kiruthiga

Comparing token-based and trajectory-based vowel space metrics for assessing speech in Parkinson’s disease

Defne Abur, Megan Cushman, Courtney J. Dunsmuir, Cara E. Stepp

Development of long short-term memory models using rainfall and soil moisture to predict soil moisture dynamics

Yoon Ji Kim, Ho Jin Im, [ ... ], Sang-Hyun Lee

Supporters of Germany’s far-right AfD party are concerned about immigration rather than feeling deprived

Martin Schröder, Moritz Rehm, Anja Röcke

SPPIPred: Stacking-based ensemble learning model for identification of protein-protein interaction

Md. Ashikur Rahman, Md. Mamun Ali, [ ... ], Mohammad Ali Moni

Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning

Yifan Gong, Aomei Liu, [ ... ], Hongxiao Liu

Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD

Suhan Wu, Jingyi Duan, Min Luo

Decision tree model to predict one-year survival in ambulatory patients with advanced cancer

Yusuke Hiratsuka, Seok-Joon Yoon, Sang-Yeon Suh, Yu Jung Kim

T-pGNN4DTI: Towards better drug-target interactions prediction using Global Self-attentive Pooled Graph Convolutional Networks and protein pre-training Models

Yanmei Lin, Boqi Yang, [ ... ], Yuzhong Peng

A dual-stream deep learning architecture for business impact scoring and alert escalation

Mohammed Saad Javeed, Mst. Moushumi Khatun, [ ... ], Hashibul Ahsan Shoaib

Edge-intelligent safelink-V2X: A low-latency cooperative framework for real-time vulnerable road user protection

Fayez Alanazi, Ammar Armghan, Ahmed Jamal Abdullah Al-Gburi, Amr Yousef

ProbStab: A probabilistic ML-assisted pipeline for genotype performance, stability, and risk evaluation in multi-environment trials

Mohammadreza Shiri

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