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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8501–8525 of 14581 papers

TitleStatusHype
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics—0
Scraping and Preprocessing Commercial Auction Data for Fraud Classification—0
SemEval-2018 Task 3: Irony Detection in English Tweets—0
Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection—0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction—0
LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets—0
Robust Physical-World Attacks on Deep Learning Visual Classification—0
What makes us laugh? Investigations into Automatic Humor Classification—0
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers—0
Tw-StAR at SemEval-2018 Task 1: Preprocessing Impact on Multi-label Emotion Classification—0
RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem—0
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network—0
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification—0
Tandem Blocks in Deep Convolutional Neural Networks—0
Adapted and Oversegmenting Graphs: Application to Geometric Deep Learning—0
UIUC at SemEval-2018 Task 1: Recognizing Affect with Ensemble Models—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts—0
Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment—0
Weakly Supervised Coupled Networks for Visual Sentiment AnalysisCode0
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation—0
psyML at SemEval-2018 Task 1: Transfer Learning for Sentiment and Emotion Analysis—0
Towards Single Word Lexical Complexity Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified