Table of Contents

• Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment MechanismsFalco Joannes Bargagli Stoffi, Giorgio Gnecco. 1-10 [doi]
• Citizen Contributions and Minor Heritage: Feedback on Modeling and Visualising an Information Mash-upJean-Yves Blaise, Iwona Dudek, Gamze Saygi. 11-20 [doi]
• Unification of Deconvolution Algorithms for Cherenkov AstronomyMirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode. 21-30 [doi]
• Recommendation of Points-of-Interest Using Graph EmbeddingsGiannis Christoforidis, Pavlos Kefalas, Apostolos Papadopoulos, Yannis Manolopoulos. 31-40 [doi]
• Adaptive Threshold for Outlier Detection on Data StreamsJames Clark, Zhen Liu, Nathalie Japkowicz. 41-49 [doi]
• Neuro-Ensemble for Time Series Data ClassificationSoukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk. 50-59 [doi]
• Estimating Causal Effects on Social NetworksLaura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo M. Airoldi. 60-69 [doi]
• Hoeffding Trees with Nmin AdaptationEva García Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva. 70-79 [doi]
• Explaining Explanations: An Overview of Interpretability of Machine LearningLeilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael Specter, Lalana Kagal. 80-89 [doi]
• Multivariate Time Series Early Classification Using Multi-Domain Deep Neural NetworkHuai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng. 90-98 [doi]
• Pattern-Based Automatic Parallelization of Representative-Based Clustering AlgorithmsSaiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal. 99-108 [doi]
• Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics DataEun Jeong Min, Changgee Chang, Qi Long. 109-119 [doi]
• Kernel Regression on Manifold Valued DataAlexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev. 120-129 [doi]
• Fully Heterogeneous Collective RegressionDavid Liedtka, Luke McDowell. 130-139 [doi]
• Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional TraversingYifeng Lu, Thomas Seidl 0001. 140-149 [doi]
• SMOTEBoost for Regression: Improving the Prediction of Extreme ValuesNuno Moniz, Rita Ribeiro, Vítor Cerqueira, Nitesh Chawla. 150-159 [doi]
• Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image CollagesMichael Niemeyer, Ognjen Arandjelovic. 160-168 [doi]
• Cohort Representation and ExplorationBehrooz Omidvar Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan. 169-178 [doi]
• Predicting Worker Disagreement for More Effective Crowd LabelingStefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou. 179-188 [doi]
• Gradient Reversal against Discrimination: A Fair Neural Network Learning ApproachEdward Raff, Jared Sylvester. 189-198 [doi]
• Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming DataPatrick Rehn, Zahra Ahmadi, Stefan Kramer 0001. 199-208 [doi]
• Model Adaptation and Personalization for Physiological Stress DetectionAaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B. F. Van Erp, Stojan Trajanovski. 209-216 [doi]
• Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic DataChristine Sinoquet, Kamel Mekhnacha. 217-226 [doi]
• Parallel Continuous Outlier Mining in Streaming DataTheodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio. 227-236 [doi]
• Learning to Make Predictions on Graphs with AutoencodersPhi Vu Tran. 237-245 [doi]
• Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an EntityChristian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou. 246-255 [doi]
• Forecasting Retweet Count during Elections Using Graph Convolution Neural NetworksRaghavendran Vijayan, George Mohler. 256-262 [doi]
• Practical Deep Learning Architecture OptimizationMartin Wistuba. 263-272 [doi]
• DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence MaximizationTzu-Hsin Yang, Hao-Shang Ma, Jen-Wei Huang. 273-282 [doi]
• DeepClean: Data Cleaning via Question AskingXinyang Zhang, Yujie Ji, Chanh Nguyen, Ting Wang. 283-292 [doi]
• Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management ReportsZahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer 0001. 293-302 [doi]
• Wetting and Drying of Soil: From Data to Understandable Models for PredictionAniruddha Basak, Ole J. Mengshoel, Kevin Schmidt, Chinmay Kulkarni. 303-312 [doi]
• Starting Movement Detection of Cyclists Using Smart DevicesMaarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick. 313-322 [doi]
• The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban EnvironmentMarco De Nadai, Bruno Lepri. 323-330 [doi]
• A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data StreamsDuong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet. 331-340 [doi]
• Scalable and Interpretable Predictive Models for Electronic Health RecordsAmela Fejza, Pierre Genevès, Nabil Layaïda, Jean-Luc Bosson. 341-350 [doi]
• Mining Sensor Data for Predictive Maintenance in the Automotive IndustryFlavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti. 351-360 [doi]
• Learning Data MiningRiccardo Guidotti, Anna Monreale, Salvatore Rinzivillo. 361-370 [doi]
• Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics SystemAlessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita. 371-380 [doi]
• Selection of a Nominal Device Using Functional Data AnalysisNevin Martin, Thomas Buchheit, Shahed Reza. 381-386 [doi]
• A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production DataKonrad Mulrennan, John Donovan, David Tormey, Russell Macpherson. 387-391 [doi]
• Big Data-Driven Platform for Cross-Media MonitoringLiana Napalkova, Pablo Aragon, Juan Carlos Castro Robles. 392-399 [doi]
• Detecting and Counting Panicles in Sorghum ImagesPeder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe. 400-409 [doi]
• A Case Study on Reducing Auto Insurance Attrition with Econometrics, Machine Learning, and A/B TestingMiguel Paredes. 410-414 [doi]
• Captioning with Language-Based AttentionAnshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng, Momina Haider. 415-423 [doi]
• Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and ChallengesAnastasios Noulas, Vsevolod Salnikov, Desislava Hristova, Cecilia Mascolo, Renaud Lambiotte. 424-433 [doi]
• Classifying Sensitive Content in Online Advertisements with Deep LearningAshutosh Sanzgiri, Daniel Austin, Kannan Sankaran, Ryan Woodard, Amit Lissack, Sam Seljan. 434-441 [doi]
• Optimizing New User Experience in Online ServicesKen Soong, Xin Fu, Yang Zhou. 442-449 [doi]
• Towards Simulation-Data Science - A Case Study on Material FailuresHolger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz. 450-459 [doi]
• Using Data Analytics to Optimize Public Transportation on a College CampusKurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic. 460-469 [doi]
• DSAA 2018 Special Session: Data Science for Social GoodDaniela Paolotti, Michele Tizzoni. 470-471 [doi]
• Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in SingaporeMichele Ferretti, Gianni Barlacchi, Luca Pappalardo, Lorenzo Lucchini, Bruno Lepri. 472-480 [doi]
• A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary CareQiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic. 481-490 [doi]
• Coolabilities APIDavid Nordfors, Sudipto Shankar Dasgupta, Ganapathy Subramanian, V. R. Ferose, Chally Grundwag, Behrang Zandi. 491-495 [doi]
• Global Income Inequality and Savings: A Data Science PerspectiveKiran Sharma, Subhradeep Das, Anirban Chakraborti. 496-503 [doi]
• Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic ModelsYue Zhang, Arti Ramesh. 504-513 [doi]
• Data Fusion to Describe and Quantify Search and Rescue Operations in the Mediterranean SeaKatherine Hoffmann Pham, Jeremy Boy, Miguel A. Luengo-Oroz. 514-523 [doi]
• Data Science Challenges in Computational Psychiatry and Psychiatric ResearchDaniel Stahl, Daniel Stamate. 524-525 [doi]
• MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical DataConstantin Ahlmann-Eltze, Christopher Yau. 526-539 [doi]
• Latent Dirichlet Allocation in Discovering Goals in Patients Undergoing Bladder Cancer SurgeryThomas M. Atkinson. 540-546 [doi]
• Analysing Activities, Contextualized for General Health, Depression and DemographicsFionn Murtagh. 547-554 [doi]
• MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential BiomarkersMaksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev. 555-564 [doi]
• Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment OptionsXuan Zhou, Yuanjia Wang, Donglin Zeng. 565-574 [doi]
• Environmental and Geo-Spatial Data Analytics (EnGeoData'2018)Maguelonne Teisseire, Mathieu Roche, Diana Inkpen. 575-576 [doi]
• Airpred: A Flexible R Package Implementing Methods for Predicting Air PollutionM. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat. 577-583 [doi]
• On Non-Routine Places in Urban Human MobilityChristian Quadri, Matteo Zignani, Sabrina Gaito, Gian Paolo Rossi 0001. 584-593 [doi]
• Convolutional Neural Networks for Disaggregated Population Mapping Using Open DataLuciano Gervasoni, Serge Fenet, Regis Perrier, Peter F. Sturm. 594-603 [doi]
• Crowdsourcing Landforms for Open GIS EnrichmentRocio Nahime Torres, Darian Frajberg, Piero Fraternali, Sergio Luis Herrera Gonzales. 604-611 [doi]
• Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session OverviewAntonia Azzini, Stefania Marrara, Amir Topalovic, Mirjiana Pejic Bach, Matthew Rattigan. 612-613 [doi]
• Determinants of Growth in Micro and Small Enterprises: Empirical Evidence from JordanFaisal Awartani, Bryanna Millis. 614-622 [doi]
• Network-Based Models to Improve Credit Scoring AccuracyBranka Hadji Misheva, Paolo Giudici, Valentino Pediroda. 623-630 [doi]
• Predictive Modeling for Identifying Return Defaulters in Goods and Services TaxPriya Mehta, Jithin Mathews, K. Suryamukhi, K. Sandeep Kumar, Ch. Sobhan Babu. 631-637 [doi]
• SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social DataFarah Benamara, Cristina Bosco, Elisabetta Fersini, Gabriella Pasi, Viviana Patti, Marco Viviani. 638-640 [doi]
• A Methodological Template to Construct Ground Truth of Authentic and Fake Online ReviewsSnehasish Banerjee. 641-648 [doi]
• Behind Our Words: Psychological Paths Underlying the Un/Supportive Stance Toward Immigrants in Social MediaFrancesca D'Errico, Marinella Paciello, Matteo Amadei. 649-656 [doi]
• Portability of Aspect Based Sentiment Analysis: Thirty Minutes for a Proof of ConceptLuca Dini, Paolo Curtoni, Elena Melnikova. 657-664 [doi]
• Willingness to Share Emotion Information on Social Media: Influence of Personality and Social ContextDamien Dupré, Gary McKeown, Nicole Andelic, Gawain Morrison. 665-672 [doi]
• An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in MicroblogsFlorian Strohm, Roman Klinger. 673-681 [doi]
• Utilizing Tweet Content for the Detection of Sentiment-Based Interaction Communities on TwitterAlron Jan Lam, Charibeth Cheng. 682-691 [doi]