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