| 2018 | 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018 Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani |
| 2018 | A Case Study on Reducing Auto Insurance Attrition with Econometrics, Machine Learning, and A/B Testing. Miguel Paredes |
| 2018 | A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production Data. Konrad Mulrennan, John Donovan, David Tormey, Russell Macpherson |
| 2018 | A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic |
| 2018 | A Methodological Template to Construct Ground Truth of Authentic and Fake Online Reviews. Snehasish Banerjee |
| 2018 | A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet |
| 2018 | Adaptive Threshold for Outlier Detection on Data Streams. James Clark, Zhen Liu, Nathalie Japkowicz |
| 2018 | Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution. M. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat |
| 2018 | An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. Florian Strohm, Roman Klinger |
| 2018 | Analysing Activities, Contextualized for General Health, Depression and Demographics. Fionn Murtagh |
| 2018 | Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages. Michael Niemeyer, Ognjen Arandjelovic |
| 2018 | Behind Our Words: Psychological Paths Underlying the Un/Supportive Stance Toward Immigrants in Social Media. Francesca D'Errico, Marinella Paciello, Matteo Amadei |
| 2018 | Big Data-Driven Platform for Cross-Media Monitoring. Liana Napalkova, Pablo Aragón, Juan Carlos Castro Robles |
| 2018 | Captioning with Language-Based Attention. Anshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng, Momina Haider |
| 2018 | Citizen Contributions and Minor Heritage: Feedback on Modeling and Visualising an Information Mash-up. Jean-Yves Blaise, Iwona Dudek, Gamze Saygi |
| 2018 | Classifying Sensitive Content in Online Advertisements with Deep Learning. Ashutosh Sanzgiri, Daniel Austin, Kannan Sankaran, Ryan Woodard, Amit Lissack, Sam Seljan |
| 2018 | Cohort Representation and Exploration. Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan |
| 2018 | Convolutional Neural Networks for Disaggregated Population Mapping Using Open Data. Luciano Gervasoni, Serge Fenet, Regis Perrier, Peter F. Sturm |
| 2018 | Coolabilities API. David Nordfors, Sudipto Shankar Dasgupta, Ganapathy Subramanian, V. R. Ferose, Chally Grundwag, Behrang Zandi |
| 2018 | Crowdsourcing Landforms for Open GIS Enrichment. Rocio Nahime Torres, Darian Frajberg, Piero Fraternali, Sergio Luis Herrera Gonzales |
| 2018 | DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization. Tzu-Hsin Yang, Hao-Shang Ma, Jen-Wei Huang |
| 2018 | DSAA 2018 Special Session: Data Science for Social Good. Daniela Paolotti, Michele Tizzoni |
| 2018 | Data Fusion to Describe and Quantify Search and Rescue Operations in the Mediterranean Sea. Katherine Hoffmann Pham, Jeremy Boy, Miguel A. Luengo-Oroz |
| 2018 | Data Science Challenges in Computational Psychiatry and Psychiatric Research. Daniel Stahl, Daniel Stamate |
| 2018 | DeepClean: Data Cleaning via Question Asking. Xinyang Zhang, Yujie Ji, Chanh Nguyen, Ting Wang |
| 2018 | Detecting and Counting Panicles in Sorghum Images. Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe |
| 2018 | Determinants of Growth in Micro and Small Enterprises: Empirical Evidence from Jordan. Faisal Awartani, Bryanna Millis |
| 2018 | Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and Challenges. Anastasios Noulas, Vsevolod Salnikov, Desislava Hristova, Cecilia Mascolo, Renaud Lambiotte |
| 2018 | Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou |
| 2018 | Environmental and Geo-Spatial Data Analytics (EnGeoData'2018). Maguelonne Teisseire, Mathieu Roche, Diana Inkpen |
| 2018 | Estimating Causal Effects on Social Networks. Laura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo M. Airoldi |
| 2018 | Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. Falco Joannes Bargagli Stoffi, Giorgio Gnecco |
| 2018 | Explaining Explanations: An Overview of Interpretability of Machine Learning. Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal |
| 2018 | Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. Yue Zhang, Arti Ramesh |
| 2018 | Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks. Raghavendran Vijayan, George O. Mohler |
| 2018 | Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. Patrick Rehn, Zahra Ahmadi, Stefan Kramer |
| 2018 | Fully Heterogeneous Collective Regression. David Liedtka, Luke McDowell |
| 2018 | Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. Eun Jeong Min, Changgee Chang, Qi Long |
| 2018 | Global Income Inequality and Savings: A Data Science Perspective. Kiran Sharma, Subhradeep Das, Anirban Chakraborti |
| 2018 | Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. Edward Raff, Jared Sylvester |
| 2018 | Hoeffding Trees with Nmin Adaptation. Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva |
| 2018 | Kernel Regression on Manifold Valued Data. Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev |
| 2018 | Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita |
| 2018 | Latent Dirichlet Allocation in Discovering Goals in Patients Undergoing Bladder Cancer Surgery. Thomas M. Atkinson |
| 2018 | Learning Data Mining. Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo |
| 2018 | Learning to Make Predictions on Graphs with Autoencoders. Phi Vu Tran |
| 2018 | MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev |
| 2018 | Mining Sensor Data for Predictive Maintenance in the Automotive Industry. Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti |
| 2018 | MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. Constantin Ahlmann-Eltze, Christopher Yau |
| 2018 | Model Adaptation and Personalization for Physiological Stress Detection. Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B. F. van Erp, Stojan Trajanovski |
| 2018 | Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng |
| 2018 | Network-Based Models to Improve Credit Scoring Accuracy. Branka Hadji Misheva, Paolo Giudici, Valentino Pediroda |
| 2018 | Neuro-Ensemble for Time Series Data Classification. Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk |
| 2018 | On Non-Routine Places in Urban Human Mobility. Christian Quadri, Matteo Zignani, Sabrina Gaito, Gian Paolo Rossi |
| 2018 | Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session Overview. Antonia Azzini, Stefania Marrara, Amir Topalovic, Mirjana Pejic Bach, Matthew J. Rattigan |
| 2018 | Optimizing New User Experience in Online Services. Ken Soong, Xin Fu, Yang Zhou |
| 2018 | Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. Xuan Zhou, Yuanjia Wang, Donglin Zeng |
| 2018 | Parallel Continuous Outlier Mining in Streaming Data. Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio |
| 2018 | Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms. Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal |
| 2018 | Portability of Aspect Based Sentiment Analysis: Thirty Minutes for a Proof of Concept. Luca Dini, Paolo Curtoni, Elena Melnikova |
| 2018 | Practical Deep Learning Architecture Optimization. Martin Wistuba |
| 2018 | Predicting Worker Disagreement for More Effective Crowd Labeling. Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou |
| 2018 | Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax. Priya Mehta, Jithin Mathews, K. Suryamukhi, K. Sandeep Kumar, Ch. Sobhan Babu |
| 2018 | Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data. Christine Sinoquet, Kamel Mekhnacha |
| 2018 | Recommendation of Points-of-Interest Using Graph Embeddings. Giannis Christoforidis, Pavlos Kefalas, Apostolos Papadopoulos, Yannis Manolopoulos |
| 2018 | SMOTEBoost for Regression: Improving the Prediction of Extreme Values. Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla |
| 2018 | Scalable and Interpretable Predictive Models for Electronic Health Records. Amela Fejza, Pierre Genevès, Nabil Layaïda, Jean-Luc Bosson |
| 2018 | SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data. Farah Benamara, Cristina Bosco, Elisabetta Fersini, Gabriella Pasi, Viviana Patti, Marco Viviani |
| 2018 | Selection of a Nominal Device Using Functional Data Analysis. Nevin Martin, Thomas Buchheit, Shahed Reza |
| 2018 | Starting Movement Detection of Cyclists Using Smart Devices. Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick |
| 2018 | The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban Environment. Marco De Nadai, Bruno Lepri |
| 2018 | Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer |
| 2018 | Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. Yifeng Lu, Thomas Seidl |
| 2018 | Towards Simulation-Data Science - A Case Study on Material Failures. Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz |
| 2018 | Unification of Deconvolution Algorithms for Cherenkov Astronomy. Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode |
| 2018 | Using Data Analytics to Optimize Public Transportation on a College Campus. Kurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic |
| 2018 | Utilizing Tweet Content for the Detection of Sentiment-Based Interaction Communities on Twitter. Alron Jan Lam, Charibeth Cheng |
| 2018 | Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in Singapore. Michele Ferretti, Gianni Barlacchi, Luca Pappalardo, Lorenzo Lucchini, Bruno Lepri |
| 2018 | Wetting and Drying of Soil: From Data to Understandable Models for Prediction. Aniruddha Basak, Ole J. Mengshoel, Kevin M. Schmidt, Chinmay Kulkarni |
| 2018 | Willingness to Share Emotion Information on Social Media: Influence of Personality and Social Context. Damien Dupré, Gary McKeown, Nicole Andelic, Gawain Morrison |