On the public citation graph

EnML: Multi-label Ensemble Learning for Urdu Text Classification

https://doi.org/10.1145/3616111
0 signed · 112 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-3-642-04180-8_6openalex-snapshot
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/bf02960786openalex-snapshot
Semantic computation in a Chinese Question-Answering system
inferredcites →https://doi.org/10.1007/s00521-020-05321-8openalex-snapshot
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification
inferredcites →https://doi.org/10.1007/s10462-009-9124-7openalex-snapshot
Ensemble-based classifiers
inferredcites →https://doi.org/10.1007/s10994-008-5064-8openalex-snapshot
Multilabel classification via calibrated label ranking
inferredcites →https://doi.org/10.1007/s10994-009-5127-5openalex-snapshot
Combining instance-based learning and logistic regression for multilabel classification
inferredcites →https://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferredcites →https://doi.org/10.1016/j.apenergy.2022.119754openalex-snapshot
EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting
inferredcites →https://doi.org/10.1016/j.artint.2008.08.002openalex-snapshot
Label ranking by learning pairwise preferences
inferredcites →https://doi.org/10.1016/j.eij.2020.08.004openalex-snapshot
HMATC: Hierarchical multi-label Arabic text classification model using machine learning
inferredcites →https://doi.org/10.1016/j.ejor.2019.05.037openalex-snapshot
Evaluating multi-label classifiers and recommender systems in the financial service sector
inferredcites →https://doi.org/10.1016/j.eswa.2011.09.033openalex-snapshot
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
inferredcites →https://doi.org/10.1016/j.eswa.2016.03.028openalex-snapshot
Classification of sentiment reviews using n-gram machine learning approach
inferredcites →https://doi.org/10.1016/j.eswa.2016.03.041openalex-snapshot
Ensemble multi-label text categorization based on rotation forest and latent semantic indexing
inferredcites →https://doi.org/10.1016/j.inffus.2017.12.001openalex-snapshot
Review of ensembles of multi-label classifiers: Models, experimental study and prospects
inferredcites →https://doi.org/10.1016/j.ipm.2018.09.008openalex-snapshot
Multi-label Arabic text categorization: A benchmark and baseline comparison of multi-label learning algorithms
inferredcites →https://doi.org/10.1016/j.jbi.2021.103699openalex-snapshot
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
inferredcites →https://doi.org/10.1016/j.jksuci.2015.11.003openalex-snapshot
Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques
inferredcites →https://doi.org/10.1016/j.knosys.2014.06.004openalex-snapshot
ForesTexter: An efficient random forest algorithm for imbalanced text categorization
inferredcites →https://doi.org/10.1016/j.knosys.2016.03.029openalex-snapshot
RFBoost: An improved multi-label boosting algorithm and its application to text categorisation
inferredcites →https://doi.org/10.1016/j.neucom.2018.08.053openalex-snapshot
Applying multi-label techniques in emotion identification of short texts
inferredcites →https://doi.org/10.1016/j.patcog.2004.03.009openalex-snapshot
Learning multi-label scene classification
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.019openalex-snapshot
ML-KNN: A lazy learning approach to multi-label learning
inferredcites →https://doi.org/10.1016/j.patcog.2015.10.008openalex-snapshot
MLTSVM: A novel twin support vector machine to multi-label learning
inferredcites →https://doi.org/10.1016/j.rser.2021.111559openalex-snapshot
MPF-Net: A computational multi-regional solar power forecasting framework
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41598-022-22523-3openalex-snapshot
Deep learning for religious and continent-based toxic content detection and classification
inferredcites →https://doi.org/10.1088/1757-899x/1231/1/011001openalex-snapshot
IOP Conference Series: Materials Science and Engineering
inferredcites →https://doi.org/10.1093/bib/bbx099openalex-snapshot
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
inferredcites →https://doi.org/10.1093/jamia/ocz085openalex-snapshot
ML-Net: multi-label classification of biomedical texts with deep neural networks
inferredcites →https://doi.org/10.1109/access.2018.2877685openalex-snapshot
Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach
inferredcites →https://doi.org/10.1109/access.2018.2887165openalex-snapshot
Multi-Label Question Classification for Factoid and List Type Questions in Biomedical Question Answering
inferredcites →https://doi.org/10.1109/access.2020.3030885openalex-snapshot
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis
inferredcites →https://doi.org/10.1109/access.2022.3143819openalex-snapshot
Multi-Label Emotion Classification on Code-Mixed Text: Data and Methods
inferredcites →https://doi.org/10.1109/access.2023.3249783openalex-snapshot
Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/icdmw.2015.14openalex-snapshot
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification
inferredcites →https://doi.org/10.1109/taffc.2017.2723012openalex-snapshot
Inferring Affective Meanings of Words from Word Embedding
inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.1109/tkde.2016.2522427openalex-snapshot
A Bayesian Classification Approach Using Class-Specific Features for Text Categorization
inferredcites →https://doi.org/10.1109/tkde.2016.2563436openalex-snapshot
Toward Optimal Feature Selection in Naive Bayes for Text Categorization
inferredcites →https://doi.org/10.1109/tkde.2019.2959991openalex-snapshot
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
inferredcites →https://doi.org/10.1145/1943628openalex-snapshot
Proceedings of the 8th International Conference on Frontiers of Information Technology
inferredcites →https://doi.org/10.1145/2556195openalex-snapshot
Proceedings of the 7th ACM international conference on Web search and data mining
inferredcites →https://doi.org/10.1145/2567948.2577348openalex-snapshot
Learning semantic representations using convolutional neural networks for web search
inferredcites →https://doi.org/10.1145/2911451openalex-snapshot
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3078971openalex-snapshot
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06 - 09, 2017
inferredcites →https://doi.org/10.1145/3394486.3403368openalex-snapshot
Taming Pretrained Transformers for Extreme Multi-label Text Classification
inferredcites →https://doi.org/10.1145/3417113.3423377openalex-snapshot
Roman Urdu reviews dataset for aspect based opinion mining
inferredcites →https://doi.org/10.1155/2016/1850404openalex-snapshot
Multichannel Convolutional Neural Network for Biological Relation Extraction
inferredcites →https://doi.org/10.1155/2018/2379208openalex-snapshot
Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM‐CRF
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.1162/tacl_a_00249openalex-snapshot
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
inferredcites →https://doi.org/10.1162/tacl_a_00259openalex-snapshot
GILE: A Generalized Input-Label Embedding for Text Classification
inferredcites →https://doi.org/10.1186/s12859-015-0774-yopenalex-snapshot
Predicting drug side effects by multi-label learning and ensemble learning
inferredcites →https://doi.org/10.14569/ijacsa.2016.070836openalex-snapshot
Urdu Text Classification using Majority Voting
inferredcites →https://doi.org/10.14569/ijacsa.2017.081048openalex-snapshot
Accuracy Based Feature Ranking Metric for Multi-Label Text Classification
inferredcites →https://doi.org/10.17485/ijst/2017/v10i29/116525openalex-snapshot
Urdu Documents Classification using Naïve Bayes
inferredcites →https://doi.org/10.17863/cam.132164openalex-snapshot
Learning from Delayed Rewards
inferredcites →https://doi.org/10.18653/v1/d17-1openalex-snapshot
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/e17-1104openalex-snapshot
Very Deep Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.18653/v1/p17-1052openalex-snapshot
Deep Pyramid Convolutional Neural Networks for Text Categorization
inferredcites →https://doi.org/10.18653/v1/p18-1215openalex-snapshot
Disconnected Recurrent Neural Networks for Text Categorization
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.3115/980431openalex-snapshot
Proceedings of the 10th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.3115/v1/p14-2openalex-snapshot
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
inferredcites →https://doi.org/10.32604/cmc.2022.018871openalex-snapshot
Efficient Facial Recognition Authentication Using Edge and Density Variant Sketch Generator
inferredcites →https://doi.org/10.32604/jnm.2019.06238openalex-snapshot
Multi-Label Chinese Comments Categorization: Comparison of Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.3390/app9061123openalex-snapshot
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
inferredcites →https://doi.org/10.3390/genes11121475openalex-snapshot
MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/lipics.ecrts.2023.7openalex-snapshot
Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper)
inferredcites →https://doi.org/10.4230/tgdk.3.3.5openalex-snapshot
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
inferredcites →https://doi.org/10.4316/jacsm.201601002openalex-snapshot
Framework for Urdu News Headlines Classification
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1605.05101openalex-snapshot
Recurrent Neural Network for Text Classification with Multi-Task Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.01923openalex-snapshot
Comparative Study of CNN and RNN for Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.1806.04822openalex-snapshot
SGM: Sequence Generation Model for Multi-label Classification
inferredcites →https://doi.org/10.48550/arxiv.1809.02811openalex-snapshot
Multi-label Classification of User Reactions in Online News
inferredcites →https://doi.org/10.48550/arxiv.1906.08237openalex-snapshot
XLNet: Generalized Autoregressive Pretraining for Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2103.05105openalex-snapshot
Urdu Handwritten Text Recognition Using ResNet18
inferredcites →https://doi.org/10.5120/20083-1666openalex-snapshot
Experimental Comparison of Methods for Multi-label Classification in different Application Domains
inferredcites →https://doi.org/10.5815/ijisa.2015.06.03openalex-snapshot
Evaluation of Feature Selection Approaches for Urdu Text Categorization
inferredcites →https://doi.org/10.7717/peerj-cs.896openalex-snapshot
Multi-label emotion classification of Urdu tweets
inferredcites →https://doi.org/10.7763/ijcce.2012.v1.18openalex-snapshot
Multi-Label Text Classification via Ensemble Techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-90454-7_3openalex-snapshot
AI-Driven Insights into DNA Sequence Analysis Landscape
inferred← citeshttps://doi.org/10.1007/978-3-032-14775-2_22openalex-snapshot
CatBoost Classifier-Based Sadhu and Cholit Bangla Classification
inferred← citeshttps://doi.org/10.1007/s12115-025-01119-3openalex-snapshot
A Scientometric Analysis of Potentially Harmful Speech Detection in Muslim Communities: Trends, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1016/j.array.2026.100854openalex-snapshot
A deep ensemble approach to multi-label classification
inferred← citeshttps://doi.org/10.1016/j.jisa.2024.103790openalex-snapshot
A multi-label network attack detection approach based on two-stage model fusion
inferred← citeshttps://doi.org/10.1016/j.jisa.2024.103953openalex-snapshot
RPCP-PURI: A robust and precise computational predictor for Phishing Uniform Resource Identification
inferred← citeshttps://doi.org/10.1093/bib/bbae030openalex-snapshot
ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction
inferred← citeshttps://doi.org/10.1109/access.2024.3525061openalex-snapshot
Source Code Error Understanding Using BERT for Multi-Label Classification
inferred← citeshttps://doi.org/10.1109/access.2025.3553909openalex-snapshot
Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives
inferred← citeshttps://doi.org/10.1109/access.2025.3591143openalex-snapshot
A Comprehensive Survey on Urdu Hate Speech Detection: Methods, Evaluation, and Challenges
inferred← citeshttps://doi.org/10.1109/aidas71914.2026.11712806openalex-snapshot
A Comparative Study of Hybrid Deep Learning Models with Threshold Tuning for Multi-Label Sentiment Analysis of Pandemic-Related Tweets
inferred← citeshttps://doi.org/10.1109/fit67061.2025.11333793openalex-snapshot
Detecting Human vs AI-Generated Text in Urdu: A Comparative Study of Deep Learning and Transformer Models
inferred← citeshttps://doi.org/10.1109/icic63915.2024.11116167openalex-snapshot
Multiclass Classification for Toxicity Detection in Urdu Comment
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650054openalex-snapshot
Advancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks
inferred← citeshttps://doi.org/10.1145/3769294openalex-snapshot
HuEID: Hybrid Deep Learning for Cyberbullying Detection using Multi-Modal Urdu Text and Emojis
inferred← citeshttps://doi.org/10.2139/ssrn.5984927openalex-snapshot
A Deep Ensemble Approach to Multi-Label Classification
inferred← citeshttps://doi.org/10.2139/ssrn.6138928openalex-snapshot
A Deep Ensemble Approach to Multi-Label Classification
inferred← citeshttps://doi.org/10.3390/a18060331openalex-snapshot
Machine Learning- and Deep Learning-Based Multi-Model System for Hate Speech Detection on Facebook
inferred← citeshttps://doi.org/10.3390/ai6080194openalex-snapshot
Urdu Toxicity Detection: A Multi-Stage and Multi-Label Classification Approach
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.