SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2426–2450 of 14581 papers

TitleStatusHype
CAiRE\_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification—0
C2G-Net: Exploiting Morphological Properties for Image Classification—0
Adversarial Filters for Secure Modulation Classification—0
Animation and Chirplet-Based Development of a PIR Sensor Array for Intruder Classification in an Outdoor Environment—0
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps—0
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification—0
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification—0
Calibrating Black Box Classification Models through the Thresholding Method—0
Animal Classification System: A Block Based Approach—0
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches—0
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction—0
Angle-Based Cost-Sensitive Multicategory Classification—0
A Complete Parameterized Complexity Analysis of Bounded Planning—0
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation—0
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic—0
An FFT-based Synchronization Approach to Recognize Human Behaviors using STN-LFP Signal—0
A Complete Classification of the Complexity and Rewritability of Ontology-Mediated Queries based on the Description Logic EL—0
An Extensive Technique to Detect and Analyze Melanoma: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2017—0
An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier—0
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study—0
A3T: Adversarially Augmented Adversarial Training—0
BUZz: BUffer Zones for defending adversarial examples in image classification—0
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)—0
An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks—0
Adversarial Examples from Cryptographic Pseudo-Random Generators—0
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Benchmark Results

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