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Index
Cover Front Matter Second International Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit)
District Heating Substation Behaviour Modelling for Annotating the Performance Modeling Evolving User Behavior via Sequential Clustering Recognizing User’s Activity and Transport Mode Detection: Maintaining Low-Power Consumption Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study Towards Sensing and Sharing Auditory Context Information Using Wearable Device
Workshop on Data Integration and Applications (DINA)
Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand Linking IT Product Records Pharos: Query-Driven Schema Inference for the Semantic Web Informativeness-Based Active Learning for Entity Resolution Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters
Machine Learning for Cybersecurity (MLCS)
Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms Auto Semi-supervised Outlier Detection for Malicious Authentication Events Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings
6th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA)
Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods Exploring Successful Team Tactics in Soccer Tracking Data Soccer Team Vectors Tactical Analyses in Professional Tennis Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks
First Workshop on Categorizing Different Types of Online Harassment Languages in Social Media
Categorizing Online Harassment on Twitter Learning to Detect Online Harassment on Twitter with the Transformer Detection of Harassment on Twitter with Deep Learning Techniques Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media Attention-Based Method for Categorizing Different Types of Online Harassment Language
IoT Stream for Data Driven Predictive Maintenance
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study Forecasting of Product Quality Through Anomaly Detection Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification A Study on Imbalanced Data Streams Mining Human Mobility Data to Discover Locations and Habits Imbalanced Data Stream Classification Using Hybrid Data Preprocessing A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes
12th International Workshop on Machine Learning and Music (MML 2019)
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning Neural Symbolic Music Genre Transfer Insights Familiar Feelings: Listener-Rated Familiarity in Music Emotion Recognition Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization Adaptively Learning to Recognize Symbols in Handwritten Early Music Feature-Based Classification of Electric Guitar Types RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach Symbolic Music Classification Based on Multiple Sequential Patterns OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms Predicting Dynamics in Violin Pieces with Features from Melodic Motifs Sequence Generation Using Unwords A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar Enhanced De-Essing via Neural Networks Representation, Exploration and Recommendation of Playlists
Large-Scale Biomedical Semantic Indexing and Question Answering (BioASQ)
Results of the Seventh Edition of the BioASQ Challenge Selected Approaches Ranking Contextual Term for the BioASQ Multi-label Classification (Task6a and 7a) Convolutional Neural Network for Automatic MeSH Indexing A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B AUEB at BioASQ 7: Document and Snippet Retrieval Classification Betters Regression in Query-Based Multi-document Summarisation Techniques for Question Answering Structured Summarization of Academic Publications How to Pre-train Your Model? Comparison of Different Pre-training Models for Biomedical Question Answering Yes/No Question Answering in BioASQ 2019 Semantically Corroborating Neural Attention for Biomedical Question Answering Measuring Domain Portability and Error Propagation in Biomedical QA UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B Transformer Models for Question Answering at BioASQ 2019 Pre-trained Language Model for Biomedical Question Answering
Back Matter
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