Chair: Luca Maria Aiello (Nokia-Bell Labs, UK)

• 10:30A Case Study on Reducing Auto Insurance Attrition with Econometrics, Machine Learning, and A/B testing
  Miguel Paredes
• 10:54Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms
  Falco Joannes Bargagli Stoffi and Giorgio Gnecco
• 11:18Estimating Causal Effects On Social Networks Using Bayesian Generalized Propensity Scores
  Laura Forastiere, Fabrizia Mealli, Albert Wu and Edoardo Airoldi
• 11:42Optimizing New User Experience in Online Services
  Ken Soong and Xin Fu
• 12:06Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and Challenges
  Vsevolod Salnikov, Anastasios Noulas, Desislava Hristova, Cecilia Mascolo and Renaud Lambiotte

Chair: Alan Perotti (ISI Foundation, Italy)

• 14:00Classifying Sensitive Content in Online Advertisements with Deep Learning
  Ashutosh Sanzgiri, Daniel Austin, Kannan Sankaran, Ryan Woodard, Amit Lissack and Sam Seljan
• 14:24Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports
  Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron and Stefan Kramer
• 14:48Practical Deep Learning Architecture Optimization
  Martin Wistuba
• 15:12Forecasting Retweet Count During Elections Using Graph Convolution Neural Networks
  Raghavendran Vijayan and George Mohler
• 15:36Unsupervised Model Adaptation and Multi-task Learning based Personalization for Physiological Stress Detection
  Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B.F. van Erp and Stojan Trajanovski

Chair: Katharina Morik (Dortmund Technical University, Germany)

• 16:30A data science approach to modelling a manufacturing facility's electrical energy profile from plant production data
  Konrad Mulrennan, John Donovan, David Tormey and Russell Macpherson
• 16:54Selection of a Nominal Device Using Functional Data Analysis
  Nevin Martin, Thomas Buchheit and Shahed Reza
• 17:18Data Science for Simulation Data - A Case Study on Failure Prediction
  Holger Trittenbach, Martin Gauch, Klemens Böhm and Katrin Schulz
• 17:42Cohort Representation and Exploration
  Behrooz Omidvar-Tehrani, Sihem Amer-Yahia and Laks V.S. Lakshmanan
• 18:06Random forest framework customized to handle highly correlated variables: an extensive experimental study applied to feature selection in genetic data
  Christine Sinoquet and Mekhnacha Kamel

Chair: Myra Spiliopoulou (Magdeburg University, Germany)

• 16:30Learning Data Mining
  Riccardo Guidotti, Anna Monreale and Salvatore Rinzivillo
• 16:54Scalable, Accurate and Intelligible Predictive Models for Electronic Health Records
  Amela Fejza, Pierre Geneves, Nabil Layaida and Jean Luc Bosson
• 17:18Wetting and Drying of Soil: From Data to Understandable Models for Prediction
  Aniruddha Basak, Ole Mengshoel, Kevin Schmidt and Chinmay Kulkarni
• 17:42Citizen contributions and minor heritage: feedback on modeling and visualising an information mash-up
  Jean-Yves Blaise, Iwona Dudek and Gamze Saygi
• 18:06Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
  Leilani Gilpin, David Bau, Ben Yuan and Lalana Kagal

Chair: Sofus Macskassy (HackerRank, USA)

• 10:30Big Data-driven Platform for Cross-Media Monitoring
  Liana Napalkova, Pablo Aragón and Juan Carlos Castro Robles
• 10:54Learning to Make Predictions on Graphs with Autoencoders
  Phi Tran
• 11:18Recommendation of Points-of-Interest using Graph Embeddings
  Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos and Yannis Manolopoulos
• 11:42DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization
  Tzu-Hsin Yang, Hao-Shang Ma and Jen-Wei Huang
• 12:06Large-Scale Railway Networks Train Movements: a Dynamic, Interpretable, and Robust Hybrid Data Analytics System
  Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli and Davide Anguita

Chair: Prem Melville (Millennium Management, USA)

• 10:30SMOTEBoost for Regression: Improving the Prediction of Extreme Values
  Nuno Moniz, Rita P. Ribeiro, Vitor Cerqueira and Nitesh V.
• 10:54Fully Heterogeneous Collective Regression
  David Liedtka and Luke Mcdowell
• 11:18Gradient Reversal Against Discrimination: A Fair Neural Network Learning Approach
  Edward Raff and Jared Sylvester
• 11:42Kernel Regression on Manifold Valued Data
  Alexander Kuleshov, Alexander Bernstein and Evgeny Burnaev
• 12:06Hoeffding Trees with nmin adaptation
  Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio and Veselka Boeva

Chair: Riccardo Guidotti (University of Pisa, Italy)

• 14:00Towards Efficient Closed Infrequent Itemset Mining using Bi-directional Traversing
  Yifeng Lu and Thomas Seidl Chawla
• 14:24Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data
  Eun Jeong Min, Changgee Chang and Qi Long
• 14:48Pattern based Automatic Parallelization of Representative-based Clustering Algorithms
  Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal and Navneet Goyal
• 15:12Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data
  Patrick Rehn, Zahra Ahmadi and Stefan Kramer
• 15:36Unification of Deconvolution Algorithms for Cherenkov Astronomy
  Mirko Bunse, Nico Piatkowski, Tim Ruhe, Wolfgang Rhode and Katharina Morik

• 10:30Parallel Continuous Outlier Mining in Streaming Data
  Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos N. Papadopoulos and Sandra Sampaio
• 10:54Adaptive Threshold for Outlier Detection on Data Streams
  James Clark, Zhen Liu and Nathalie Japkowicz
• 11:18Multivariate Time Series Early Classification using Multi-Domain Deep Neural Network
  Huai-Shuo Huang, Chien-Liang Liu and Vincent Tseng
• 11:42Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Next Observation Referring to an Entity
  Vishnu Unnikrishnan, Christian Beyer, Uli Niemann, Ruediger Pryss, Winfried Schlee, Eirini Ntoutsi and Myra Spiliopoulou
• 12:06Neuro-Ensemble for Time Series Data Classification
  Soukaina Filali Boubrahimi and Rafal Angryk

Chair: André Panisson (ISI Foundation, Italy)

• 14:00Predicting worker disagreement for more effective crowd labeling
  Stefan Räbiger, Gizem Gezici, Yücel Saygın and Myra Spiliopoulou
• 14:24Captioning with Language-Based Attention
  Anshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng and Momina Haider
• 14:48Automatic Semantic Labelling of Images by Their Content using Non-Parametric Bayesian Machine Learning and Image Search using Synthetically Generated Image Collages
  Michael Niemeyer and Ognjen Arandjelovic
• 15:12Detecting and Counting Panicles in Sorghum Images
  Peder Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie Thompson, Ronny Luss, Mitch Tuinstra and Naoki Abe
• 15:36DeepClean: Data Cleaning via Question Asking
  Xinyang Zhang, Yujie Ji, Chanh Nguyen and Ting Wang

Chair: Salvatore Rinzivillo (CNR, Italy)

• 14:00The economic value of neighborhoods: Predicting real estate prices from the urban environment
  Marco De Nadai and Bruno Lepri
• 14:24Starting Movement Detection of Cyclists using Smart Devices
  Maarten Bieshaar, Malte Depping, Jan Schneegans and Bernhard Sick
• 14:48Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams
  Van Duong Nguyen and Ronan Fablet
• 15:12Using Data Analytics to Optimize Public Transportation on a College Campus
  Kurt Zimmer, Hasan Kurban, Mark Jenne, Mehmet Dalkilic, Logan Keating and Perry Maull
• 15:36Mining Sensor Data for Predictive Maintenance in the Automotive Industry
  Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico and Alessia Tuninetti