PKDD/ECML Workshops

Publications

2020

Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks. PKDD/ECML Workshops (2020)
Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops (2020)
Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire
Linking Heterogeneous Data for Food Security Prediction. PKDD/ECML Workshops (2020)
Joyce Yu, Jakub Nabaglo, Dinusha Vatsalan, Wilko Henecka, Brian Thorne
Hyper-Parameter Optimization for Privacy-Preserving Record Linkage. PKDD/ECML Workshops (2020)
Hendrik Santoso Sugiarto, Ee-Peng Lim
On Modeling Labor Markets for Fine-Grained Insights. PKDD/ECML Workshops (2020)
Abdelkader Lahmadi, Alexis Duque, Nathan Heraief, Julien Francq
MitM Attack Detection in BLE Networks Using Reconstruction and Classification Machine Learning Techniques. PKDD/ECML Workshops (2020)
Yujie Xing, Itishree Mohallick, Jon Atle Gulla, Özlem Özgöbek, Lemei Zhang
An Educational News Dataset for Recommender Systems. PKDD/ECML Workshops (2020)
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges. PKDD/ECML Workshops (2020)
Iknoor Singh, Deepak P, Anoop K.
On the Coherence of Fake News Articles. PKDD/ECML Workshops (2020)
Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. PKDD/ECML Workshops (2020)
Sanne Vrijenhoek, Natali Helberger
Pitch Proposal: Recommenders with a Mission - Assessing Diversity in News Recommendations. PKDD/ECML Workshops (2020)
Evgeniya Korneva, Hendrik Blockeel
Towards Better Evaluation of Multi-target Regression Models. PKDD/ECML Workshops (2020)
Benjamin C. Evans, Allan Tucker, Oliver R. Wearn, Chris Carbone
Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications. PKDD/ECML Workshops (2020)
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops (2020)
Philipp Behnen, René Keßler, Felix Kruse, Jorge Marx Gómez, Jan Schoenmakers, Sergej Zerr
Experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data. PKDD/ECML Workshops (2020)
Timo Spinde, Felix Hamborg, Bela Gipp
Media Bias in German News Articles: A Combined Approach. PKDD/ECML Workshops (2020)
Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. PKDD/ECML Workshops (2020)
Jatin Bedi, Durga Toshniwal
Data Decomposition Based Learning for Load Time-Series Forecasting. PKDD/ECML Workshops (2020)
Alberto Cammozzo, Emanuele Di Buccio, Federico Neresini
Monitoring Technoscientific Issues in the News. PKDD/ECML Workshops (2020)
Irem Islek, Sule Gündüz Ögüdücü
A Hybrid Recommendation System Based on Bidirectional Encoder Representations. PKDD/ECML Workshops (2020)
Cedric Sanders, Thomas Liebig
Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints. PKDD/ECML Workshops (2020)
Martins Samuel Dogo, Deepak P, Anna Jurek-Loughrey
Exploring Thematic Coherence in Fake News. PKDD/ECML Workshops (2020)
Fabio Massimo Zennaro
A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice. PKDD/ECML Workshops (2020)
Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva
Approximate Explanations for Classification of Histopathology Patches. PKDD/ECML Workshops (2020)
Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
Multi-stakeholder News Recommendation Using Hypergraph Learning. PKDD/ECML Workshops (2020)
Narendra Singh, Harsh Kasyap, Somanath Tripathy
Collaborative Learning Based Effective Malware Detection System. PKDD/ECML Workshops (2020)
Lorenzo Perini, Connor Galvin, Vincent Vercruyssen
A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods. PKDD/ECML Workshops (2020)
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops (2020)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops (2020)
Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri
A Multi-view Ensemble of Deep Models for the Detection of Deviant Process Instances. PKDD/ECML Workshops (2020)
Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops (2020)
Andrew Borthwick, Stephen Ash, Bin Pang, Shehzad Qureshi, Timothy Jones
Scalable Blocking for Very Large Databases. PKDD/ECML Workshops (2020)
Paulo J. G. Lisboa, Sandra Ortega-Martorell, M. Jayabalan, Iván Olier
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops (2020)
Giulio Masetti, Felicita Di Giandomenico
Analyzing Forward Robustness of Feedforward Deep Neural Networks with LeakyReLU Activation Function Through Symbolic Propagation. PKDD/ECML Workshops (2020)
Jan Ramon, Moitree Basu
Interpretable Privacy with Optimizable Utility. PKDD/ECML Workshops (2020)
Ben Busath, Jalen Morgan, Joseph Price
Group-Specific Training Data. PKDD/ECML Workshops (2020)
Yassine Guermazi, Sana Sellami, Omar Boucelma
Address Validation in Transportation and Logistics: A Machine Learning Based Entity Matching Approach. PKDD/ECML Workshops (2020)
Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, Myra Spiliopoulou
Assessing the Difficulty of Labelling an Instance in Crowdworking. PKDD/ECML Workshops (2020)
Vaishnavi Bhargava, Miguel Couceiro, Amedeo Napoli
LimeOut: An Ensemble Approach to Improve Process Fairness. PKDD/ECML Workshops (2020)
Soumajyoti Sarkar, Hamidreza Alvari
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org. PKDD/ECML Workshops (2020)
Mark Patrick Roeling, Azqa Nadeem, Sicco Verwer
Hybrid Connection and Host Clustering for Community Detection in Spatial-Temporal Network Data. PKDD/ECML Workshops (2020)
Michal Kuzba, Przemyslaw Biecek
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations. PKDD/ECML Workshops (2020)

volume 1323, 2020

ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops 1323 (2020)