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Methodology
← Core Methods
Machine Learning
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Core Methods
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Classification
15289 directly classified papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
IJCAI 2025
On the Learning with Augmented Class via Forests
IJCAI 2025
Run Like a Neural Network, Explain Like k-Nearest Neighbor
IJCAI 2025
Attention-based Conditional Random Field for Financial Fraud Detection
IJCAI 2025
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
IJCAI 2025
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection
IJCAI 2025
What is Beneath Misogyny: Misogynous Memes Classification and Explanation
IJCAI 2025
Graph Neural Networks for Databases: A Survey
IJCAI 2025
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
JMLR 2025
Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation
ACL 2025
LATE-GIL-nlp at Semeval-2025 Task 10: Exploring LLMs and transformers for Characterization and extraction of narratives from online news
SEMEVAL 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
IJCAI 2025
A Comparative Evaluation of Quantification Methods
JMLR 2025
On Inference for the Support Vector Machine
JMLR 2025
The Good, the Bad and the Constructive: Automatically Measuring Peer Review’s Utility for Authors
EMNLP 2025
Looking at Model Debiasing through the Lens of Anomaly Detection
WACV 2025
NarrativeNexus at SemEval-2025 Task 10: Entity Framing and Narrative Extraction using BART
ACL 2025
TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification
ACL 2025
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
AAAI 2025
PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection
SEMEVAL 2025
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs
ACL 2025
Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey
ACL 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
AAAI 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
Mitigating Selection Bias with Node Pruning and Auxiliary Options
ACL 2025
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