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DeepSkillNER: An automatic screening and ranking of resumes using hybrid deep learning and enhanced spectral clustering approach
9 references·0 citing·30 second hop
DeepSkillNER: An automatic screening and ranking of resumes using hybrid deep learning and enhanced spectral clustering approach (2023)DeepSkillNER: An automatic screening and …Resume Classification System using Natural Language Processing and Machine Learning Techniques (2022)Resume Classification System …Resume Validation and Filtration using Natural Language Processing (2021)Resume Validation and Filtrat…Design and development of machine learning based resume ranking system (2021)Design and development of mac…An Intelligent Decision Support System For Recruitment: Resumes Screening And Applicants Ranking (2021)An Intelligent Decision Suppo…Speech Emotion Recognition UsingConvolutional Neural Network and Long-Short TermMemory (2020)Speech Emotion Recognition Us…A Machine Learning approach for automation of Resume Recommendation system (2020)A Machine Learning approach f…Web Application for Screening Resume (2019)Web Application for Screening…End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT (2019)End-to-End Resume Parsing and…JRC: A Job Post and Resume Classification System for Online Recruitment (2017)JRC: A Job Post and Resume Cl…On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV (2013)Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT) (2013)Matching GitHub Developer Profiles to Job Advertisements (2015)Resume Classification using various Machine Learning Algorithms (2022)Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching (2025)PROSPECT (2010)Matching Resumes to Jobs via Deep Siamese Network (2018)An end-to-end framework for information extraction from Italian resumes (2022)Automated Resume Parsing: A Natural Language Processing Approach (2023)Automated Resume Parsing and Ranking using Natural Language Processing (2024)Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network (2021)Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features (2022)A spatiotemporal symmetrical transformer structure for EEG emotion recognition (2023)The Employment Interview Context: Social and Situational Influences on Interviewer Decisions1 (1996)A fuzzy model for competency-based employee evaluation and selection (2007)AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening (2025)AN AUTOMATED RESUME SCREENING SYSTEM USING NATURAL LANGUAGE PROCESSING AND SIMILARITY (2020)Automatic Software Engineering Position Resume Screening using Natural Language Processing, Word Matching, Character Positioning, and Regex (2022)HR Tech Analyst: Automated Resume Parsing and Ranking System through Natural Language Processing (2023)Resume Screening using Machine Learning and NLP: A proposed system (2022)Improved Resume Parsing based on Contextual Meaning Extraction using BERT (2023)Resume Classification Using ML Techniques (2023)An Overview of Fairness in Clustering (2021)A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM (2022)The Power of Artificial Intelligence in Recruitment: An Analytical Review of Current AI-Based Recruitment Strategies (2023)Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening (2024)Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for Enhanced Diversity and Inclusivity (2024)
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References

  • 2020A Machine Learning approach for automation of Resume Recommendation system217 cited
  • 2022Resume Classification System using Natural Language Processing and Machine Learning Techniques78 cited
  • 2020Speech Emotion Recognition UsingConvolutional Neural Network and Long-Short TermMemory61 cited
  • 2021Design and development of machine learning based resume ranking system59 cited
  • 2017JRC: A Job Post and Resume Classification System for Online Recruitment44 cited
  • 2019End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT40 cited
  • 2019Web Application for Screening Resume39 cited
  • 2021An Intelligent Decision Support System For Recruitment: Resumes Screening And Applicants Ranking32 cited
  • 2021Resume Validation and Filtration using Natural Language Processing24 cited

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