default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID5th DSAA 2018: Turin, Italy
- Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5
Research Track
- Falco Joannes Bargagli Stoffi, Giorgio Gnecco
:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. 1-10 - Jean-Yves Blaise, Iwona Dudek, Gamze Saygi:
Citizen Contributions and Minor Heritage: Feedback on Modeling and Visualising an Information Mash-up. 11-20 - Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode:
Unification of Deconvolution Algorithms for Cherenkov Astronomy. 21-30 - Giannis Christoforidis, Pavlos Kefalas, Apostolos Papadopoulos, Yannis Manolopoulos:
Recommendation of Points-of-Interest Using Graph Embeddings. 31-40 - James Clark, Zhen Liu, Nathalie Japkowicz:
Adaptive Threshold for Outlier Detection on Data Streams. 41-49 - Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk:
Neuro-Ensemble for Time Series Data Classification. 50-59 - Laura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo M. Airoldi:
Estimating Causal Effects on Social Networks. 60-69 - Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with Nmin Adaptation. 70-79 - Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal:
Explaining Explanations: An Overview of Interpretability of Machine Learning. 80-89 - Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng:
Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. 90-98 - Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal:
Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms. 99-108 - Eun Jeong Min, Changgee Chang, Qi Long:
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. 109-119 - Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Kernel Regression on Manifold Valued Data. 120-129 - David Liedtka, Luke McDowell:
Fully Heterogeneous Collective Regression. 130-139 - Yifeng Lu, Thomas Seidl:
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. 140-149 - Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla:
SMOTEBoost for Regression: Improving the Prediction of Extreme Values. 150-159 - Michael Niemeyer, Ognjen Arandjelovic:
Automatic Semantic Labelling of Images by Their Content Using Non-Parametric Bayesian Machine Learning and Image Search Using Synthetically Generated Image Collages. 160-168 - Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan:
Cohort Representation and Exploration. 169-178 - Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou:
Predicting Worker Disagreement for More Effective Crowd Labeling. 179-188 - Edward Raff, Jared Sylvester:
Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. 189-198 - Patrick Rehn, Zahra Ahmadi, Stefan Kramer:
Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. 199-208 - Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B. F. van Erp, Stojan Trajanovski:
Model Adaptation and Personalization for Physiological Stress Detection. 209-216 - Christine Sinoquet, Kamel Mekhnacha:
Random Forest Framework Customized to Handle Highly Correlated Variables: An Extensive Experimental Study Applied to Feature Selection in Genetic Data. 217-226 - Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio:
Parallel Continuous Outlier Mining in Streaming Data. 227-236 - Phi Vu Tran:
Learning to Make Predictions on Graphs with Autoencoders. 237-245 - Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 246-255 - Raghavendran Vijayan, George O. Mohler:
Forecasting Retweet Count during Elections Using Graph Convolution Neural Networks. 256-262 - Martin Wistuba:
Practical Deep Learning Architecture Optimization. 263-272 - Tzu-Hsin Yang, Hao-Shang Ma, Jen-Wei Huang:
DNA: General Deterministic Network Adaptive Framework for Multi-Round Multi-Party Influence Maximization. 273-282 - Xinyang Zhang, Yujie Ji, Chanh Nguyen, Ting Wang:
DeepClean: Data Cleaning via Question Asking. 283-292
Applications Track
- Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer:
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. 293-302 - Aniruddha Basak, Ole J. Mengshoel, Kevin M. Schmidt, Chinmay Kulkarni:
Wetting and Drying of Soil: From Data to Understandable Models for Prediction. 303-312 - Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick:
Starting Movement Detection of Cyclists Using Smart Devices. 313-322 - Marco De Nadai, Bruno Lepri:
The Economic Value of Neighborhoods: Predicting Real Estate Prices from the Urban Environment. 323-330 - Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet:
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. 331-340 - Amela Fejza, Pierre Genevès, Nabil Layaïda, Jean-Luc Bosson:
Scalable and Interpretable Predictive Models for Electronic Health Records. 341-350 - Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti:
Mining Sensor Data for Predictive Maintenance in the Automotive Industry. 351-360 - Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo:
Learning Data Mining. 361-370 - Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita:
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. 371-380 - Nevin Martin, Thomas Buchheit, Shahed Reza:
Selection of a Nominal Device Using Functional Data Analysis. 381-386 - Konrad Mulrennan, John Donovan, David Tormey, Russell Macpherson:
A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production Data. 387-391 - Liana Napalkova, Pablo Aragón, Juan Carlos Castro Robles:
Big Data-Driven Platform for Cross-Media Monitoring. 392-399 - Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe:
Detecting and Counting Panicles in Sorghum Images. 400-409 - Miguel Paredes:
A Case Study on Reducing Auto Insurance Attrition with Econometrics, Machine Learning, and A/B Testing. 410-414 - Anshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng, Momina Haider:
Captioning with Language-Based Attention. 415-423 - Anastasios Noulas, Vsevolod Salnikov, Desislava Hristova, Cecilia Mascolo, Renaud Lambiotte:
Developing and Deploying a Taxi Price Comparison Mobile App in the Wild: Insights and Challenges. 424-433 - Ashutosh Sanzgiri, Daniel Austin, Kannan Sankaran, Ryan Woodard, Amit Lissack, Sam Seljan:
Classifying Sensitive Content in Online Advertisements with Deep Learning. 434-441 - Ken Soong, Xin Fu, Yang Zhou:
Optimizing New User Experience in Online Services. 442-449 - Holger Trittenbach, Martin Gauch, Klemens Böhm, Katrin Schulz:
Towards Simulation-Data Science - A Case Study on Material Failures. 450-459 - Kurt Zimmer, Hasan Kurban, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic:
Using Data Analytics to Optimize Public Transportation on a College Campus. 460-469
Special Sessions
Data Science for Social Good
- Daniela Paolotti, Michele Tizzoni:
DSAA 2018 Special Session: Data Science for Social Good. 470-471 - Michele Ferretti, Gianni Barlacchi, Luca Pappalardo, Lorenzo Lucchini, Bruno Lepri:
Weak Nodes Detection in Urban Transport Systems: Planning for Resilience in Singapore. 472-480 - Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya, Manas Gaur, Leid Zejnilovic:
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. 481-490 - David Nordfors, Sudipto Shankar Dasgupta, Ganapathy Subramanian, V. R. Ferose, Chally Grundwag, Behrang Zandi:
Coolabilities API. 491-495 - Kiran Sharma, Subhradeep Das, Anirban Chakraborti:
Global Income Inequality and Savings: A Data Science Perspective. 496-503 - Yue Zhang, Arti Ramesh:
Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. 504-513 - Katherine Hoffmann Pham, Jeremy Boy, Miguel A. Luengo-Oroz:
Data Fusion to Describe and Quantify Search and Rescue Operations in the Mediterranean Sea. 514-523
Data Science in Computational Psychiatry and Pyschiatric Research
- Daniel Stahl, Daniel Stamate:
Data Science Challenges in Computational Psychiatry and Psychiatric Research. 524-525 - Constantin Ahlmann-Eltze, Christopher Yau:
MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. 526-539 - Thomas M. Atkinson:
Latent Dirichlet Allocation in Discovering Goals in Patients Undergoing Bladder Cancer Surgery. 540-546 - Fionn Murtagh:
Analysing Activities, Contextualized for General Health, Depression and Demographics. 547-554 - Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev:
MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. 555-564 - Xuan Zhou, Yuanjia Wang, Donglin Zeng:
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. 565-574
EnGeoData'2018: Environmental and Geo-Spatial Data Analytics
- Maguelonne Teisseire, Mathieu Roche, Diana Inkpen:
Environmental and Geo-Spatial Data Analytics (EnGeoData'2018). 575-576 - M. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat:
Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution. 577-583 - Christian Quadri, Matteo Zignani, Sabrina Gaito, Gian Paolo Rossi:
On Non-Routine Places in Urban Human Mobility. 584-593 - Luciano Gervasoni, Serge Fenet, Regis Perrier, Peter F. Sturm:
Convolutional Neural Networks for Disaggregated Population Mapping Using Open Data. 594-603 - Rocio Nahime Torres, Darian Frajberg, Piero Fraternali, Sergio Luis Herrera Gonzales:
Crowdsourcing Landforms for Open GIS Enrichment. 604-611
Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy
- Antonia Azzini, Stefania Marrara, Amir Topalovic, Mirjana Pejic Bach, Matthew J. Rattigan:
Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy - Special Session Overview. 612-613 - Faisal Awartani, Bryanna Millis:
Determinants of Growth in Micro and Small Enterprises: Empirical Evidence from Jordan. 614-622 - Branka Hadji Misheva, Paolo Giudici, Valentino Pediroda:
Network-Based Models to Improve Credit Scoring Accuracy. 623-630 - Priya Mehta, Jithin Mathews, K. Suryamukhi, K. Sandeep Kumar, Ch. Sobhan Babu:
Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax. 631-637
SeCredISData: Sentiment, Emotion, and Credibility of Information in Social Data
- Farah Benamara, Cristina Bosco, Elisabetta Fersini, Gabriella Pasi, Viviana Patti, Marco Viviani:
SeCredISData 2018: Special Session on Sentiment, Emotion, and Credibility of Information in Social Data. 638-640 - Snehasish Banerjee:
A Methodological Template to Construct Ground Truth of Authentic and Fake Online Reviews. 641-648 - Francesca D'Errico, Marinella Paciello, Matteo Amadei:
Behind Our Words: Psychological Paths Underlying the Un/Supportive Stance Toward Immigrants in Social Media. 649-656 - Luca Dini, Paolo Curtoni, Elena Melnikova:
Portability of Aspect Based Sentiment Analysis: Thirty Minutes for a Proof of Concept. 657-664 - Damien Dupré, Gary McKeown, Nicole Andelic, Gawain Morrison:
Willingness to Share Emotion Information on Social Media: Influence of Personality and Social Context. 665-672 - Florian Strohm, Roman Klinger:
An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs. 673-681 - Alron Jan Lam, Charibeth Cheng:
Utilizing Tweet Content for the Detection of Sentiment-Based Interaction Communities on Twitter. 682-691
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 22:06 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
