Key papers

• A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention (2025)
  Tao Yang et al.
  7.77
• Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis (2018)
  Timothy Wong et al.
  6.24
• BEDTime: A Unified Benchmark for Automatically Describing Time Series (2025)
  Medhasweta Sen et al.
  5.52
• Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning (2025)
  Shaoyu Dou et al.
  5.35
• Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures (2025)
  Yang Wang et al.
  5.29
• Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data (2024)
  YongKyung Oh et al.
  4.93
• Selective Learning for Deep Time Series Forecasting (2025)
  Yisong Fu et al.
  4.64
• TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis (2024)
  Shiyu Wang et al.
  4.60
• Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity (2026)
  Vincent Granville
  4.33
• Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection (2026)
  Akshay Gokhale et al.
  4.33
• From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond (2026)
  Spyridon Evangelatos et al.
  4.33
• The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology (2026)
  Ghassen Marrakchi et al.
  4.33
• Verification of Adaptive Agentic Controllers through Finite Rule Revision (2026)
  Roberto Garrone
  4.33
• Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis (2026)
  Lydia Ouhib (LIASD) et al.
  4.33
• PhenoEmbed: Self-Supervised Multispectral UAV Time-Series Embeddings for Individual Tree Crown Phenology (2026)
  Taimur Khan
  4.33
• Polarization Detection: A Hybrid Approach with AfroXLMR-Social and DeBERTa for Low- and High-Resource Settings (2026)
  Muhammad Abdullahi Said
  4.33
• PREF-Gate: Provenance-Constrained Relational Evidence Fusion with Validation-Gated Selection for Graph Fraud Detection (2026)
  Liming Liu et al.
  4.33
• Calibrated e-CUSUM Decoding for Quantized Reasoning Models: Why Token Log-Probability Is the Wrong Observable for Decoding Monitors (2026)
  El Hassane Ettifouri (Novelis Research et al.
  4.33
• Closing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT Deployments (2026)
  Muhammet Emir Korkmaz et al.
  4.33
• An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory (2026)
  Ahmed Omar Salim Adnan et al.
  4.33
• Removable Defects: The Economics and Limits of Deliberate Deficiency (2026)
  Cheng Qian
  4.33
• Statistical Properties and Power Analysis of Divergence Measures for Credit Risk Model Monitoring (2026)
  Abdullah Karasan et al.
  4.33
• Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices (2026)
  Raheen Junaid Wani et al.
  4.33
• Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems (2026)
  Youngseok Hwang et al.
  4.33
• Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning (2025)
  ZiXin Lin et al.
  4.25
• Time-Frequency Consistency Learning for Robust Speech Deepfake Detection (2026)
  Jun Xue et al.
  4.25
• TimesBERT: A BERT-Style Foundation Model for Time Series Understanding (2025)
  Haoran Zhang et al.
  4.19
• KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks (2024)
  Quan Zhou et al.
  4.14
• Online time series prediction using feature adjustment (2025)
  Xiannan Huang et al.
  3.92
• xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection (2025)
  Kamil Faber et al.
  3.75
• TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis (2024)
  Sabera Talukder and Yisong Yue and Georgia Gkioxari
  3.64
• TRACE: Time SeRies PArameter EffiCient FinE-tuning (2025)
  Yuze Li and Wei Zhu
  3.59
• Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms (2025)
  Ninghui Feng et al.
  3.59
• Assessment of Spatio-Temporal Predictors in the Presence of Missing and Heterogeneous Data (2023)
  Daniele Zambon et al.
  3.58
• DualCast: A Model to Disentangle Aperiodic Events from Traffic Series (2024)
  Xinyu Su et al.
  3.47
• VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection (2026)
  Sharayu N. Deshmukh et al.
  3.45
• Time Series Analysis in Machine Learning (2026)
  Antonio Pagliaro et al.
  3.39
• Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks (2024)
  Rujia Shen et al.
  3.04
• NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series (2025)
  Satyandra Guthula et al.
  3.04
• TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation (2025)
  MohammadReza EskandariNasab et al.
  2.99
• Supervised Dynamic Dimension Reduction with Deep Neural Network (2025)
  Zhanye Luo et al.
  2.93
• Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction (2025)
  Yue Yang et al.
  2.87
• Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting (2025)
  Junpeng Lin et al.
  2.82
• Differential Machine Learning for Time Series Prediction (2025)
  Akash Yadav and Eulalia Nualart
  2.65
• Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting (2025)
  Chen Yang et al.
  2.60
• Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data (2025)
  Harsh Poonia et al.
  2.60
• A time warping model for seasonal data with application to age estimation from narwhal tusks (2024)
  Lars N{\o}rtoft Reiter et al.
  2.49
• Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning (2024)
  Kai Zhao et al.
  2.49
• Right on Time: Revising Time Series Models by Constraining their Explanations (2024)
  Maurice Kraus et al.
  2.04
• Prior-matched evaluation of operational Earth-observation classifiers: a three-number reporting method demonstrated on Sentinel-1 internal-wave detection (2026)
  Jo\~ao Pinelo et al.
  1.94
• Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents (2026)
  Vikas Reddy et al.
  1.94
• TimeGPT for Mechanical System Degradation Assessment: A Large Time Series Model Approach (2026)
  Junyu Qi et al.
  1.89
• Causal Temporal Regime Structure Learning (2023)
  Abdellah Rahmani et al.
  1.87
• Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring (2026)
  Nicholas Tan Jerome et al.
  1.83
• Beyond Similarity: Temporal Operator Attention for Time Series Analysis (2026)
  Jevon Twitty et al.
  1.83
• DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data (2026)
  Masahiro Suzuki et al.
  1.83
• Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting (2026)
  Jiawen Zhu et al.
  1.83
• TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale (2026)
  Malgorzata Gwiazda et al.
  1.78
• INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression (2026)
  Gamze Kirman Tokgoz et al.
  1.78
• Forecasting the Past: Gradient-Based Distribution Shift Detection in Trajectory Prediction (2026)
  Michele De Vita et al.
  1.78