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PKDD/ECML 2019: Würzburg, Germany - Workshops
- Peggy Cellier, Kurt Driessens
:
Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Communications in Computer and Information Science 1168, Springer 2020, ISBN 978-3-030-43886-9
Second International Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit)
- Shahrooz Abghari
District Heating Substation Behaviour Modelling for Annotating the Performance. 3-11 - Veselka Boeva, Christian Nordahl:
Modeling Evolving User Behavior via Sequential Clustering. 12-20 - Fitore Muharemi, Egzon Syka, Doina Logofatu:
Recognizing User's Activity and Transport Mode Detection: Maintaining Low-Power Consumption. 21-37 - Amit Agarwal, Durga Toshniwal, Jatin Bedi:
Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. 38-53 - Akio Sashima
Towards Sensing and Sharing Auditory Context Information Using Wearable Device. 54-59
Workshop on Data Integration and Applications (DINA)
- Birgit Kirsch, Zamira Niyazova, Michael Mock, Stefan Rüping:
Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic. 63-78 - Abel N. Kho, Jingzhi Yu, Molly Scannell Bryan, Charon Gladfelter, Howard S. Gordon
Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program. 79-87 - Samuel Roeslin
Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand. 88-100 - Katsiaryna Mirylenka
Linking IT Product Records. 101-111 - David Haller
Pharos: Query-Driven Schema Inference for the Semantic Web. 112-124 - Victor Christen, Peter Christen, Erhard Rahm
Informativeness-Based Active Learning for Entity Resolution. 125-141 - Rainer Schnell, Christian Borgs:
Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters. 142-156
Machine Learning for Cybersecurity (MLCS)
- Félix Iglesias
Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms. 159-175 - Georgios Kaiafas
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. 176-190 - Xiang Li, Shihao Ji
Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks. 191-207 - Fabio Massimo Zennaro
Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. 208-222
6th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA)
- Kenneth Verstraete
Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods. 225-234 - Laurentius Antonius Meerhoff
Exploring Successful Team Tactics in Soccer Tracking Data. 235-246 - Robert Müller, Stefan Langer, Fabian Ritz
Soccer Team Vectors. 247-257 - Arie-Willem de Leeuw
Tactical Analyses in Professional Tennis. 258-269 - Stefan Langer, Robert Müller, Kyrill Schmid, Claudia Linnhoff-Popien:
Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks. 270-280
First Workshop on Categorizing Different Types of Online Harassment Languages in Social Media
- Mozhgan Saeidi, Samuel Bruno da Silva Sousa
Categorizing Online Harassment on Twitter. 283-297 - Margarita Constanza Bugueño
Learning to Detect Online Harassment on Twitter with the Transformer. 298-306 - Ignacio Espinoza, Fernanda Weiss:
Detection of Harassment on Twitter with Deep Learning Techniques. 307-313 - Fabíola S. F. Pereira
Gradient Boosting Machine and LSTM Network for Online Harassment Detection and Categorization in Social Media. 314-320 - Christos Karatsalos, Yannis Panagiotakis:
Attention-Based Method for Categorizing Different Types of Online Harassment Language. 321-330
IoT Stream for Data Driven Predictive Maintenance
- Cristian Axenie
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. 333-344 - Athanasios Naskos, Georgia Kougka, Theodoros Toliopoulos
Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study. 345-356 - Mehmet Dinç, Seyda Ertekin, Hadi Özkan, Can Meydanli, Volkan Atalay
Forecasting of Product Quality Through Anomaly Detection. 357-366 - Pawel Zyblewski
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. 367-379 - Ehsan Aminian
A Study on Imbalanced Data Streams. 380-389 - Thiago Andrade
Mining Human Mobility Data to Discover Locations and Habits. 390-401 - Barbara Bobowska, Jakub Klikowski
Imbalanced Data Stream Classification Using Hybrid Data Preprocessing. 402-413 - Mathias Van Herreweghe
A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. 414-425
12th International Workshop on Machine Learning and Music (MML 2019)
- Stylianos I. Mimilakis, Christof Weiss
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. 429-436 - Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang:
Neural Symbolic Music Genre Transfer Insights. 437-445 - Lloyd May, Michael A. Casey:
Familiar Feelings: Listener-Rated Familiarity in Music Emotion Recognition. 446-453 - Cedric De Boom, Stephanie Van Laere, Tim Verbelen
Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks. 454-461 - Alexander Leemhuis, Simon Waloschek, Aristotelis Hadjakos:
Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization. 462-469 - Luisa Micó
Adaptively Learning to Recognize Symbols in Handwritten Early Music. 470-477 - Renato de Castro Rabelo Profeta, Gerald Schuller:
Feature-Based Classification of Electric Guitar Types. 478-484 - David Meredith
RecurSIA-RRT: Recursive Translatable Point-Set Pattern Discovery with Removal of Redundant Translators. 485-493 - David Dalmazzo
Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach. 494-501 - Kerstin Neubarth, Darrell Conklin:
Symbolic Music Classification Based on Multiple Sequential Patterns. 502-508 - Viktor Schmuck, David Meredith
OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms. 509-516 - Fábio José Muneratti Ortega, Alfonso Pérez Carrillo, Rafael Ramírez:
Predicting Dynamics in Violin Pieces with Features from Melodic Motifs. 517-523 - Darrell Conklin:
Sequence Generation Using Unwords. 524-530 - Sergio I. Giraldo, Alberto Nasarre, Isabelle Heroux, Rafael Ramirez:
A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar. 531-536 - Simon Hestermann
Enhanced De-Essing via Neural Networks. 537-542 - Piyush Papreja, Hemanth Venkateswara
Representation, Exploration and Recommendation of Playlists. 543-550
Large-Scale Biomedical Semantic Indexing and Question Answering (BioASQ)
- Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara
Results of the Seventh Edition of the BioASQ Challenge. 553-568 - Bernd Müller
Selected Approaches Ranking Contextual Term for the BioASQ Multi-label Classification (Task6a and 7a). 569-580 - Alastair R. Rae, James G. Mork, Dina Demner-Fushman:
Convolutional Neural Network for Automatic MeSH Indexing. 581-594 - Mónica Pineda Vargas, Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B. 595-606 - Dimitris Pappas
AUEB at BioASQ 7: Document and Snippet Retrieval. 607-623 - Alexios Gidiotis
Structured Summarization of Academic Publications. 636-645 - Sanjay Kamath, Brigitte Grau, Yue Ma:
How to Pre-train Your Model? Comparison of Different Pre-training Models for Biomedical Question Answering. 646-660 - Dimitris Dimitriadis
Yes/No Question Answering in BioASQ 2019. 661-669 - Marilena Oita, K. Vani, Fatma Oezdemir-Zaech:
Semantically Corroborating Neural Attention for Biomedical Question Answering. 670-685 - Stefan Hosein, Daniel Andor, Ryan T. McDonald:
Measuring Domain Portability and Error Propagation in Biomedical QA. 686-694 - Sai Krishna Telukuntla, Aditya Kapri, Wlodek Zadrozny:
UNCC Biomedical Semantic Question Answering Systems. BioASQ: Task-7B, Phase-B. 695-710 - Michele Resta, Daniele Arioli, Alessandro Fagnani, Giuseppe Attardi:
Transformer Models for Question Answering at BioASQ 2019. 711-726 - Wonjin Yoon
Pre-trained Language Model for Biomedical Question Answering. 727-740
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