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Advances in Artificial Intelligence
Matching Résumés to Job Descriptions with Stacked Models
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Author(s):
Peng Xu
,
Denilson Barbosa
Publication date
(Online):
April 06 2018
Publisher:
Springer International Publishing
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Exponential Random Graph Models
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The Probabilistic Relevance Framework: BM25 and Beyond
Stephen Robertson
(2009)
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An architecture for a next generation holistic e-recruiting system
I. Lee
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In Lee
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In Lee
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(2007)
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Matching resumes and jobs based on relevance models
Xing Yi
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James Allan
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W. Croft
(2007)
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Book Chapter
Publication date (Print):
2018
Publication date (Online):
April 06 2018
Pages
: 304-309
DOI:
10.1007/978-3-319-89656-4_31
SO-VID:
576ea21d-9063-49c7-9a07-26bc16e7f107
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Book chapters
pp. 3
Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy
pp. 17
De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency
pp. 31
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits
pp. 45
Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning
pp. 60
Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines
pp. 72
Advice-Based Exploration in Model-Based Reinforcement Learning
pp. 84
Deep Super Learner: A Deep Ensemble for Classification Problems
pp. 96
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
pp. 108
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning
pp. 121
Reranking Candidate Lists for Improved Lexical Induction
pp. 133
Analysis of Social Media Posts for Early Detection of Mental Health Conditions
pp. 144
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal
pp. 156
Mobile App for Detection of Counterfeit Banknotes
pp. 169
A Multiagent Framework for Understanding Addiction
pp. 181
Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour
pp. 194
An Incremental Machine Learning Algorithm for Nuclear Forensics
pp. 211
MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models
pp. 218
Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints
pp. 224
Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding
pp. 231
Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization
pp. 239
Learning Belief Revision Operators
pp. 246
Solving Constraint Satisfaction Problems Using Firefly Algorithms
pp. 253
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem
pp. 259
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
pp. 265
Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations
pp. 272
Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model
pp. 279
Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming
pp. 285
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
pp. 292
Text-Based Detection of Unauthorized Users of Social Media Accounts
pp. 298
N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks
pp. 304
Matching Résumés to Job Descriptions with Stacked Models
pp. 310
Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach
pp. 316
A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
pp. 322
Topic Detection and Document Similarity on Financial News
pp. 331
Software Defect Prediction from Code Quality Measurements via Machine Learning
pp. 335
Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning
pp. 339
Estimating Vineyard Grape Yield from Images
pp. 344
Real-Time Deep Learning Pedestrians Classification on a Micro-Controller
pp. 351
A Unified Evaluation Framework for Recommenders
pp. 355
Early Detection of Alzheimer’s Disease Using Deep Learning
pp. 360
Learning with Prior Domain Knowledge and Insufficient Annotated Data
pp. 367
Predicting Crime Using Spatial Features
pp. 374
A Tool for Defining and Simulating Storage Strategies on the Smart Grid
pp. 381
Decision Assist for Self-driving Cars
pp. 388
Rule Mining and Prediction Using the Flek Machine – A New Machine Learning Engine
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