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General Classification

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평가표

11

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/HBrum/tweetsentbr

공식 코드

Building a Sentiment Corpus of Tweets in Brazilian Portuguese

https://bitbucket.org/TeslaH2O/cnn_hyperspectral

공식 코드

Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning setting

https://bitbucket.org/aauvap/sewer-ml

공식 코드

Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark

https://bitbucket.org/aitor-garcia-p/w2vlda-last

공식 코드

W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis

https://bitbucket.org/bfernando/hrp

공식 코드

Discriminatively Learned Hierarchical Rank Pooling Networks

https://bitbucket.org/ceadarireland/deeplearningattheshallowend

공식 코드

Deep learning at the shallow end: Malware classification for non-domain experts

https://bitbucket.org/chhshen/fishercoding

공식 코드

Compositional Model based Fisher Vector Coding for Image Classification

https://bitbucket.org/emird/murtree

공식 코드

MurTree: Optimal Classification Trees via Dynamic Programming and Search

https://bitbucket.org/guokan_shang/da-classification

공식 코드

Speaker-change Aware CRF for Dialogue Act Classification

https://bitbucket.org/leenremm/python_salience_affected_neural_network

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Biologically-inspired Salience Affected Artificial Neural Network (SANN)

https://bitbucket.org/raghavian/lotenet_pytorch

공식 코드

Tensor Networks for Medical Image Classification

https://bitbucket.org/raingo-ur/mll-tf

공식 코드

Improving Pairwise Ranking for Multi-label Image Classification

https://bitbucket.org/sdumancic/embeddingsmeetilp

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A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning

https://bitbucket.org/tsendeemts/nse

공식 코드

Neural Semantic Encoders

https://bitbucket.org/vincenzo_lomonaco/norbcreator

공식 코드

Semi-supervised Tuning from Temporal Coherence

https://github.com/0zgur0/ms-convSTAR

공식 코드

Crop mapping from image time series: deep learning with multi-scale label hierarchies

https://github.com/12wang3/mllp

공식 코드

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

https://github.com/1429904852/ATN

공식 코드

Attention Transfer Network for Aspect-level Sentiment Classification

https://github.com/2023-07-03/weighted-balanced-accuracy

공식 코드

A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification

https://github.com/2Obe/BSData

공식 코드

Industrial Machine Tool Component Surface Defect Dataset

https://github.com/3dsift-rank/3DSIFT-Rank

공식 코드

Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features

https://github.com/4rdhendu/fiml

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Fast Few-Shot Classification by Few-Iteration Meta-Learning

https://github.com/647LiuSQ/Discovering-influential-factors-in-variational-autoencoders

공식 코드

Discovering Influential Factors in Variational Autoencoder

https://github.com/AFAgarap/cnn-svm

공식 코드

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification

https://github.com/AFAgarap/gru-svm

공식 코드

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

https://github.com/AFAgarap/malware-classification

공식 코드

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification

https://github.com/AFAgarap/relu-classifier

공식 코드

Deep Learning using Rectified Linear Units (ReLU)

https://github.com/AFAgarap/wisconsin-breast-cancer

공식 코드

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

https://github.com/AI-Growth-Lab/Patent-Classification

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PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT

https://github.com/AIChallenger/AI_Challenger

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AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

https://github.com/AIMLab-UBC/MIDL2020

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Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning

https://github.com/AIasd/noise_fairlearn

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Noise-tolerant fair classification

https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation

공식 코드

Syn2Real: Forgery Classification via Unsupervised Domain Adaptation

https://github.com/AKASH2907/bird-species-classification

공식 코드

Bird Species Classification using Transfer Learning with Multistage Training

https://github.com/AKASH2907/deepfakes_video_classification

공식 코드

Detecting Deepfakes with Metric Learning

https://github.com/AKASH2907/indian_landmark_recognition

공식 코드

Improving Landmark Recognition using Saliency detection and Feature classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.