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Feature Extraction

40 papers

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Papers

AKCIT at SemEval-2026 Task 13: A Lightweight LightGBM Baseline for Cross-Language Detection of LLM-Generated Code SemEval 2026 FMISUYotkovaKastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric Signals SemEval 2026 Königsberg at SemEval-2026 Task 13: Beyond Language Models: A Low-Resource Feature-Driven and Data-Flow Embedding Approach for Machine-Generated Code Detection SemEval 2026 Paradise at SemEval-2026 Task 5: On the Limitations of Surface-Level Features for Graded Word Sense Plausibility Prediction SemEval 2026 SSN-CSE-CODECATALYSTS at SemEval-2026 Task 13: Integrating Transformer Semantics and AST-Derived Structural Features for AI-Generated Code Detection. SemEval 2026 From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval IJCAI 2025 First Steps in Building a Knowledge Base of Mathematical Results ACL 2024 On the Rigour of Scientific Writing: Criteria, Analysis, and Insights EMNLP 2024 UMUTeam@LT-EDI-ACL2022: Detecting homophobic and transphobic comments in Tamil ACL 2022 Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU ICLR 2021 SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets ACL 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021 A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020 Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020 An Alternative Deep Feature Approach to Line Level Keyword Spotting CVPR 2019 Feature Representation of Pathophysiology of Parkinsonian Dysarthria Interspeech 2019 Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017 Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NeurIPS 2016 Compressive spectral embedding: sidestepping the SVD NeurIPS 2015 Dimensionality Reduction with Subspace Structure Preservation NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Gradient-based kernel method for feature extraction and variable selection NeurIPS 2012 Worst-Case Linear Discriminant Analysis NeurIPS 2010 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009