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Machine Learning and Knowledge Discovery in Databases

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Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 District Heating Substation Behaviour Modelling for Annotating the Performance
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    Chapter 2 Modeling Evolving User Behavior via Sequential Clustering
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    Chapter 3 Recognizing User’s Activity and Transport Mode Detection: Maintaining Low-Power Consumption
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    Chapter 4 Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study
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    Chapter 5 Towards Sensing and Sharing Auditory Context Information Using Wearable Device
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    Chapter 6 Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic
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    Chapter 7 Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program
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    Chapter 8 Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand
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    Chapter 9 Linking IT Product Records
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    Chapter 10 Pharos: Query-Driven Schema Inference for the Semantic Web
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    Chapter 11 Informativeness-Based Active Learning for Entity Resolution
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    Chapter 12 Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters
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    Chapter 13 Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms
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    Chapter 14 Auto Semi-supervised Outlier Detection for Malicious Authentication Events
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    Chapter 15 Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks
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    Chapter 16 Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings
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    Chapter 17 Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods
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    Chapter 18 Exploring Successful Team Tactics in Soccer Tracking Data
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    Chapter 19 Soccer Team Vectors
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    Chapter 20 Tactical Analyses in Professional Tennis
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    Chapter 21 Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks
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    Chapter 22 Categorizing Online Harassment on Twitter
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    Chapter 23 Learning to Detect Online Harassment on Twitter with the Transformer
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    Chapter 24 Detection of Harassment on Twitter with Deep Learning Techniques
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    Chapter 25 Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media
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    Chapter 26 Attention-Based Method for Categorizing Different Types of Online Harassment Language
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    Chapter 27 SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance
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    Chapter 28 Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study
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    Chapter 29 Forecasting of Product Quality Through Anomaly Detection
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    Chapter 30 Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification
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    Chapter 31 A Study on Imbalanced Data Streams
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    Chapter 32 Mining Human Mobility Data to Discover Locations and Habits
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    Chapter 33 Imbalanced Data Stream Classification Using Hybrid Data Preprocessing
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    Chapter 34 A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes
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    Chapter 35 Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning
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    Chapter 36 Neural Symbolic Music Genre Transfer Insights
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    Chapter 37 Familiar Feelings: Listener-Rated Familiarity in Music Emotion Recognition
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    Chapter 38 Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks
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    Chapter 39 Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization
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    Chapter 40 Adaptively Learning to Recognize Symbols in Handwritten Early Music
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    Chapter 41 Feature-Based Classification of Electric Guitar Types
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    Chapter 42 RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators
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    Chapter 43 Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach
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    Chapter 44 Symbolic Music Classification Based on Multiple Sequential Patterns
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    Chapter 45 OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms
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    Chapter 46 Predicting Dynamics in Violin Pieces with Features from Melodic Motifs
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    Chapter 47 Sequence Generation Using Unwords
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    Chapter 48 A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar
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    Chapter 49 Enhanced De-Essing via Neural Networks
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    Chapter 50 Representation, Exploration and Recommendation of Playlists
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    Chapter 51 Results of the Seventh Edition of the BioASQ Challenge
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    Chapter 52 Selected Approaches Ranking Contextual Term for the BioASQ Multi-label Classification (Task6a and 7a)
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    Chapter 53 Convolutional Neural Network for Automatic MeSH Indexing
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    Chapter 54 A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B
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    Chapter 55 AUEB at BioASQ 7: Document and Snippet Retrieval
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    Chapter 56 Classification Betters Regression in Query-Based Multi-document Summarisation Techniques for Question Answering
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    Chapter 57 Structured Summarization of Academic Publications
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    Chapter 58 How to Pre-train Your Model? Comparison of Different Pre-training Models for Biomedical Question Answering
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    Chapter 59 Yes/No Question Answering in BioASQ 2019
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    Chapter 60 Semantically Corroborating Neural Attention for Biomedical Question Answering
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    Chapter 61 Measuring Domain Portability and Error Propagation in Biomedical QA
  63. Altmetric Badge
    Chapter 62 UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
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    Chapter 63 Transformer Models for Question Answering at BioASQ 2019
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    Chapter 64 Pre-trained Language Model for Biomedical Question Answering
Attention for Chapter 62: UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
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14 Mendeley
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Chapter title
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B
Chapter number 62
Book title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer, Cham, March 2020
DOI 10.1007/978-3-030-43887-6_62
Book ISBNs
978-3-03-043886-9, 978-3-03-043887-6
Authors

Sai Krishna Telukuntla, Aditya Kapri, Wlodek Zadrozny, Telukuntla, Sai Krishna, Kapri, Aditya, Zadrozny, Wlodek

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 4 29%
Researcher 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 7 50%
Business, Management and Accounting 1 7%
Environmental Science 1 7%
Agricultural and Biological Sciences 1 7%
Neuroscience 1 7%
Other 0 0%
Unknown 3 21%