Sydney Time | NY Time | Europe (CEST) Time | Session |
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Oct 6 | 8:40am - 9:00am | Oct 5 | 5:40pm - 6:00pm | Oct 5 | 11:40pm - 0:00am | Welcome & Program Overview
Presenters: Geoff Webb, Zhongfei Zhang, Vincent Tseng, Graham Williams, Michalis Vlachos
Chair: Geoff Webb
Webinar ID: 913 8389 8636
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Oct 6 | 9:00am - 10:20am | Oct 5 | 6:00pm - 7:20pm | Oct 6 | 0:00am - 1:20am |
Efficient Frequent Subgraph Mining in Transactional Databases Author: Pascal Welke Attributed Network Embedding with Community Preservation Authors: Tong Huang, Lihua Zhou, Kevin Lü, Lizhen Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport Authors: Luu Huu Phuc, Koh Takeuchi, Makoto Yamada and Hisashi Kashima Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model Authors: Cheng-En Sung, Hao-Shang Ma and Jen-Wei Huang |
Oct 6 | 10:30am - 11:50am | Oct 5 | 7:30pm - 8:50pm | Oct 6 | 1:30am - 2:50am |
A Graph Convolutional Encoder and Decoder Model for Rumor Detection Authors: Hongbin Lin, Xianghua Fu and Xi Zhang Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases Authors: Uday Kiran, Koji Zettsu, Yutaka Watanobe and Bhaskar Chaudhury Coordinate Descent Method for Log-linear Model on Posets Authors: Shota Hayashi, Mahito Sugiyama and Shin Matsushima Mix2Vec: Unsupervised Mixed Data Representation Authors: Chengzhang Zhu, Qi Zhang, Longbing Cao and Arman Abrahamyan |
Oct 6 | 12:00pm - 1:20pm | Oct 5 | 9:00pm - 10:20pm | Oct 6 | 3:00am - 4:20am |
Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction Authors: Qingxuan Zhang and Chongyang Shi Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior Authors: Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li and Yuan Liu Near-duplicated Loss for Accurate Object Localization Authors: He Liu, Xiaocheng Yang, Huaping Liu, Tao Kong and Fuchun Sun |
Oct 6 | 2:00pm - 3:10pm | Oct 5 | 11:00pm - Oct 6 | 0:10am | Oct 6 | 5:00am - 6:10am |
Presenter: Jon Kleinberg, Cornell University, USA
Chairs: Zhongfei Zhang and Vincent Tseng
Webinar ID: 913 8389 8636
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Oct 6 | 3:30pm - 5:00pm | Oct 6 | 0:30am - 2:00am | Oct 6 | 6:30am - 8:00am |
Improving Sentiment Analysis in Arabic and English Languages by Using Multi-Layer Perceptron Model (MLP). Authors: Maram Almaghrabi and Girija Chetty An Automatic Document Summarization Approach based on Fuzzy Ontology and Machine Learning Authors: Hongfei Liu and Qian Gao Robust Multivariate Regression on Riemannian Manifolds Authors: Sangyul Lee and Hee-Seok Oh Querying Influential Maximum Connected Community in Large Graphs Authors: Yuehao Xu, Renjie Sun, Yanping Wu, Chen Chen and Xiaoyang Wang Predicting Workplace Injuries Using Machine Learning Algorithms Authors: Divya Lakshminarayan Sukumar, Ji Zhang and Xiaohui Tao Improving Neural Networks using Slice Models for Similar Classes Authors: Jinwook Kim and Min-Soo Kim Landmarks-based Blocking Method For Large scale Entity Resolution Authors: Samudra Herath, Matthew Roughan and Garique Glonek |
Oct 6 | 6:00pm - 7:20pm | Oct 6 | 3:00am - 4:20am | Oct 6 | 9:00am - 10:20am |
Learning Fair and Transferable Representations with Theoretical Guarantees Authors: Luca Oneto, Michele Donini, Massimiliano Pontil and Andreas Maurer Interpretability and Refinement of Clustering Authors: Felix Iglesias, Tanja Zseby and Arthur Zimek Active Sampling for Learning Interpretable Surrogate Machine Learning Models Authors: Amal Saadallah and Katharina Morik Active Learning of SVDD Hyperparameter Values Authors: Holger Trittenbach, Klemens Böhm and Ira Assent |
Oct 6 | 7:30pm - 8:50pm | Oct 6 | 4:30am - 5:50am | Oct 6 | 10:30am - 11:50am |
Block-Approximated Exponential Random Graphs Authors: Florian Adriaens, Alexandru Mara, Jefrey Lijffijt and Tijl De Bie Benchmarking Network Embedding Models for Link Prediction: Are we making progress? Authors: Alexandru Mara, Jefrey Lijffijt and Tijl De Bie FONDUE: Framework for Node Disambiguation Using Network Embeddings Authors: Ahmad Mel, Bo Kang, Jefrey Lijffijt and Tijl De Bie Shells within Minimum Enclosing Balls Authors: Christian Bauckhage, Michael Bortz and Rafet Sifa |
Oct 6 | 9:00pm - 10:20pm | Oct 6 | 6:00am - 7:20am | Oct 6 | 12:00pm - 1:20pm |
Dimensionality-adaptive k-center in sliding windows Authors: Paolo Pellizzoni, Andrea Pietracaprina and Geppino Pucci MEE: An Automatic Metric for Evaluation Using Embeddings for Machine Translation Authors: Ananya Mukherjee, Hema Ala, Manish Shrivastava and Dipti Misra Sharma Improving Product Placement in Retail with Generalized High-Utility Itemsets Authors: Chinmay Bapna, Polepalli Krishna Reddy and Anirban Mondal Estimating countries’ peace index through the lens of the world’s news as monitored by GDELT Authors: Vasiliki Voukelatou, Ioanna Miliou, Lorenzo Gabrielli, Luca Pappalardo and Fosca Giannotti |
Oct 6 | 10:30pm - Oct 7 | 0:00am | Oct 6 | 7:30am - 9:00am | Oct 6 | 1:30pm - 3:00pm |
Bayesian Modeling Approach in Big Data Contexts: an Application in Spatial Epidemiology Authors: Erick Orozco-Acosta, Aritz Adin and María Dolores Ugarte Adapting Established Text Representations for Predicting Review Sentiment in Turkish Authors: Izel Cavusoglu, Maren Pielka and Rafet Sifa Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling Authors: Rudrani Sharma, Nicolas Vivarelli and Christoph Schommer Fake News Detection using Multilingual Evidence Authors: Daryna Dementieva and Alexander Panchen Machine Learning for evaluating Kaizens in Volkswagen Production System - A Industrial Case study Authors: Akshay Thakur, Robert Beck, Sanaz Mosthaghim and Daniel Großmann |
Sydney Time | NY Time | Europe (CEST) Time | Session |
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Oct 7 | 0:10am - 1:50am | Oct 6 | 9:10am - 10:50am | Oct 6 | 3:10pm - 4:50pm |
OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors Authors: Ekta Gujral and Evangelos Papalexakis Spatio-Temporal Functional Neural Networks Authors: Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani and Chetan Gupta Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data Authors: Wenli Sun, Changgee Chang and Qi Long CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement Authors: Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee and Philips Kokoh Prasetyo |
Oct 7 | 3:00am - 4:10am | Oct 6 | 12:00pm - 1:10pm | Oct 6 | 6:00pm - 7:10pm |
Presenters: Charles Elkan, Goldman Sachs, USA
Chair: Issam El Naqa
Webinar ID: 913 8389 8636
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Oct 7 | 4:30am - 6:00am | Oct 6 | 1:30pm - 3:00pm | Oct 6 | 7:30pm - 9:00pm |
Panel: Methodology Evaluations
Panellists: Charles Elkan, Goldman Sachs, USA, elkan@cs.ucsd.edu; Keng-hao Chang, Microsoft, USA, kenchan@microsoft.com; Dhaval Patel, IBM Research, USA, pateldha@us.ibm.com; Daniela Paolotti, ISI Foundation, Italy, daniela.paolotti@isi.it
Moderator: Giancarlo Francesco Ruffo
Chair: Giancarlo Francesco Ruffo
Webinar ID: 913 8389 8636
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Oct 7 | 6:10am - 7:50am | Oct 6 | 3:10pm - 4:50pm | Oct 6 | 9:10pm - 10:50pm |
Accurately Quantifying a Billion Instances per Second Authors: Waqar Hassan, André Maletzke and Gustavo Batista Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition Authors: Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Huzefa Rangwala and Jana Kosecka Ensemble of Hierarchical Temporal Memory for Anomaly Detection Authors: Farzaneh Shoeleh, Masoud Erfani, Duc-Phong Le and Ali A. Ghorbani Optimal Data Placement for Data-Centric Algorithms on NVM-Based Hybrid Memory Authors: Yongping Luo, Peiquan Jin and Shouhong Wan MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems Authors: Tilemachos Pechlivanoglou, Mahmoud Alsaeed and Manos Papagelis |
Oct 7 | 8:00am - 9:40am | Oct 6 | 5:00pm - 6:40pm | Oct 6 | 11:00pm - Oct 7 | 0:40am |
Economic Worth-Aware Word Embeddings Authors: Yusan Lin, Peifeng Yin and Wang-Chien Lee Information Exposure From Relational Background Knowledge on Social Media Authors: Shuo Liu, Lisa Singh and Kevin Tian Sequence Learning with Side Dependencies Authors: Zhiwei Wang, Hui Liu, Gale Yan Huang and Zitao Liu |
Oct 7 | 9:50am - 11:20am | Oct 6 | 6:50pm - 8:20pm | Oct 7 | 0:50am - 2:20am |
Bayesian Estimation of the Effect of Television Advertising on Web Metrics Authors: Ritwik Sinha, Shiv Saini, Moumita Sinha and David Arbour Data Profiling Method for Metadata Management Authors: Kazuhide Aikoh, Yuya Isoda and Ken Sugimoto Classification Between Machine Translated Text and Original Text By Part Of Speech Tagging Representation Author: Nancirose Piazza An Adaptive Utilization of Convolution Matrix method on Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Money Recall Works Authors: Neeraj Rattehalli and Ishan Jain DermaDetect: A computer vision model for an accurate diagnosis of skin conditions and rashes Author: Siddharth Sharma Cluster Quality Analysis Using Silhouette Score Authors: Ketan Rajshekhar Shahapure and Charles Nicholas Building Multiclass Classification Baselines for Anomaly-based Network Intrusion Detection Systems Authors: Ajay Shah, Sophine Clachar, Davis Cook and Manfred Minimair Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls Authors: Hanna Kondratiuk and Rafet Sifa Measuring Indirect External Threat: A Time Series Sentiment Analysis of NATO Resolutions Author: Erik Fay The Directionality Function Defect of Performance Evaluation Method in Regression Neural Network for Stock Price Prediction Authors: Yi Wei and Vipin Chaudhary |
Oct 7 | 6:00pm - 8:00pm | Oct 7 | 3:00am - 5:00am | Oct 7 | 9:00am - 11:00am |
Journal Track Session on Data Science and AI in FinTech
Chair: Guansong Pang
Webinar ID: 913 8389 8636
Generalized Isolation Forest: Some Theory and More Applications Authors: Sebastian Buschjager, Philipp-Jan Honysz, Katharina Morik Using Network Features for Credit Scoring in MicroFinance Authors: Paulo Paraiso, Saulo Ruiz, Pedro Gomes, Luis Rodrigues, Joao Gama Incremental Learning Strategies for Credit Cards Fraud Detection Authors: B. Lebichot, G. M. Paldino, W. Siblini, L. He-Guelton, F. Oble, G. Bontempi Linking Bank Clients Using Graph Neural Networks Powered by Rich Transactional Data Authors: Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov Big Data Quality Prediction on Banking Applications Authors: Ka Yee. Wong, Raymond K. Wong |
Sydney Time | NY Time | Europe (CEST) Time | Parallel Session |
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Oct 7 | 6:00pm - Oct 8 | 0:30am | Oct 7 | 3:00am - 9:30am | Oct 7 | 9:00am - 3:30pam |
Chair: Xiuzhen Jenny Zhang, Paolo Rosso and Alfonso Semeraro
Webinar ID: 967 3975 8238
Chair: Xiuzhen Jenny Zhang
Welcome to the Special Session on Fake news, bots and trolls Presenters: Paolo Rosso, Alfonso Semeraro Chair: Xiuzhen Jenny Zhang Keynote: Detecting the "Fake News" Before It Was Even Written, Media Literacy, and the COVID-19 Infodemic
Presenter: Preslav Nakov, Qatar Computing Research Institute (QCRI), HBKU Watch 'n' Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts Authors: Assunta Cerone, Elham Naghizade, Falk Scholer, Devi Mallal, Russell Skelton and Damiano Spina Chair: Paolo Rosso
Detecting Fake News Spreaders on Twitter from a Multilingual Perspective Authors: Inna Vogel and Meghana Meghana Using markup language to differentiate between reliable and unreliable news Authors: Caireann Kennedy and Josephine Griffith Are You Human? Detecting Bots on Twitter Using BERT Authors: David Dukic, Dominik Keca and Dominik Stipic Simulation of misinformation spreading processes in social networks: an application with NetLogo Authors: Emilio Sulis and Marcella Tambuscio Chair: Alfonso Semeraro
Modelling User Influence and Rumor Propagation on Social Networks with Hawkes Processes Authors: H Ruda Nie, Xiuzhen Jenny Zhang, Anil Dolgun, Minyi Li and James Baglin Multimodal Multi-image Fake News Detection Authors: Anastasia Giachanou, Guobiao Zhang and Paolo Rosso Keynote: Assisting Fact-Checking Experts with Information Access Tools
Presenter: Damiano Spina, RMIT Australia |
Sydney Time | NY Time | Europe (CEST) Time | Session |
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Oct 8 | 11:00am - 12:40pm | Oct 7 | 8:00pm - 9:40pm | Oct 8 | 2:00am - 3:40am |
Stress Prediction from Head Motion Authors: Hitoshi Kusano, Yuji Horiguchi, Yukino Baba and Hisashi Kashima Embedding for Anomaly Detection on Health Insurance Claims Authors: Jiaqi Lu, Benjamin C. M. Fung and William K. Cheung HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain Authors: Erick Skorupa Parolin, Latifur Khan, Vito D'Orazio, Javier Osorio, Patrick Brandt and Jennifer Holmes Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns Authors: Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Waverdyck, Samuel Krassenstein, Arya Farahi and Danai Koutra Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique Authors: Qun Li, Changbo Hu, Keng-Hao Chang and Ruofei Zhang |
Oct 8 | 3:30pm - 5:10pm | Oct 8 | 0:30am - 2:10am | Oct 8 | 6:30am - 8:10am |
Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories Authors: Rui Zhang, Maéva Vignes, Ulrich Steiner and Arthur Zimek Cardea: An Open Automated Machine Learning Framework forElectronic Health Records Authors: Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Donyu Liu, Mansour Alsaleh and Kalyan Veeramachaneni Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network Authors: Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae and Michael Cochez Probability of default estimation,with a reject option Authors: Lize Coenen, Ahmed K.A. Abdullah and Tias Guns Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection Authors: Fares Meghdouri, Felix Iglesias and Tanja Zseby |
Oct 8 | 5:15pm - 6:30pm | Oct 8 | 2:15am - 3:30am | Oct 8 | 8:15am - 9:30am |
Presenter: Jon McLoone
Chair: Graham Williams
Webinar ID: 989 6904 9872
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Sydney Time | NY Time | Europe (CEST) Time | Parallel Session |
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Oct 8 | 10:00am - 3:30pm | Oct 7 | 7:00pm - Oct 8 | 0:30am | Oct 8 | 1:00am - 6:30am |
Session 1 10:00am-11:30am (SYDNEY TIME, AEDT UTC+11)
Chair: Xuyun Zhang Welcome to the Special Session on Privacy, Security, and Trust in Computational Intelligence (PSTCI@DSAA2020) Fair Pairwise Learning to Rank Authors: Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito and Stefan Kramer 10:30am-11:30am (SYDNEY TIME, AEDT UTC+11) Keynote: Data Quality and Learning with Crowdsourcing
Presenter: A/Prof. Victor S. Sheng, Texas Tech University Session 2 11:40pm-1:00pm (SYDNEY TIME, AEDT UTC+11)
Chair: Xuyun Zhang Naive Bayes Classification under Local Differential Privacy Authors: Emre Yilmaz, Mohammad Al-Rubaie and J. Morris Chang Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text Authors: Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee and Edmond Zhang Reinforcement Learning Based Test Case Prioritization for Enhancing the Security of Software Authors: Tingting Shi, Lei Xiao and Keshou Wu Personalized Course Recommendation Based on Eye-Tracing Technology and Deep Learning Authors: Qi Chen, Xiaomei Yu, Nan Liu, Xiaoning Yuan and Zhaojie Wang Session 3 2:00pm-3:30pm (SYDNEY TIME, AEDT UTC+11)
Chair: Guanfeng Liu Privacy-Preserving GWAS Computation on Outsourced Data Encrypted under Multiple Keys Through Hybrid System Authors: Abubakar Bomai, Mohammed Shujaa Aldeen and Chuan Zhao Practical Privacy Protection Scheme In WiFi Fingerprint-based Localization Authors: Wenxiang Wu, Shaojing Fu and Yuchuan Luo Privacy-aware Cold-Start Recommendation based on Collaborative Filtering and Enhanced Trust Authors: Fan Wang, Weiyi Zhong, Xiaolong Xu, Wajid Rafique, Zhili Zhou and Lianyong Qi Towards Privacy-Preserving Deep Learning: Opportunities and Challenges Authors: Sheraz Ali, Muhammad Maaz Irfan, Abubakar Bomai and Chuan Zhao 3:20pm-3:30pm (SYDNEY TIME, AEDT UTC+11) Close the special session PSTCI@DSAA2020 |
Sydney Time | NY Time | Europe (CEST) Time | Parallel Tutorials |
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Oct 8 | 8:00am - 11:00am | Oct 7 | 5:00pm - 8:00pm | Oct 7 | 11:00pm - Oct 8 | 2:00am |
Tutorial 1: Label noise: Problems and and solutions
Presenter: Tripathi Sandhya
Chair: Tim Oates
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Oct 8 | 11:00am - 2:00pm | Oct 7 | 8:00pm - 11:00pm | Oct 8 | 2:00am - 5:00am |
Tutorial 2: How to Determine the Optimal Anomaly Detection Method For Your Application
Presenters: Cynthia Freeman and Ian Beaver
Chair: Tim Oates
Webinar ID: 913 8389 8636
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Sydney Time | NY Time | Europe (CEST) Time | Session |
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Oct 9 | 0:00am - 0:20am | Oct 8 | 9:00am - 9:20am | Oct 8 | 3:00pm - 3:20pm |
NGDS Award Presentation
Presenters: Chuanren Liu
Chair: Joshua Huang
Webinar ID: 913 8389 8636
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Oct 9 | 11:00am - 12:20pm | Oct 8 | 8:00pm - 9:20pm | Oct 9 | 2:00am - 3:20am |
Precision Coupon Targeting with Dynamic Customer Triage Authors: Chuanren Liu and Wenxiang Zhu RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy Authors: Kei Nakagawa, Masaya Abe and Junpei Komiyama Automating and Analyzing Whole-Farm Carbon Models Authors: Aditi Maheshwari, Curtis Dyreson, Jennifer Reeve, Vishal Sharma and Anthony Whaley Profiling US Restaurants from Billions of Payment Card Transactions Authors: Himel Dev and Hossein Hamooni |
Oct 9 | 3:30pm - 4:50pm | Oct 9 | 0:30am - 1:50am | Oct 9 | 6:30am - 7:50am |
Why Should I Trust This Item? Explaining the Recommendations of any Model Authors: Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin and Martin Atzmueller Using Data Science to Improve the Identification of Plant Nutritional Status Authors: David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Cremilleux and Sylvain Pluchon A Distance Metric for Sets of Events Authors: Raphael Sahann, Claudia Plant and Torsten Möller Interactive Machine Learning Tool for Clustering in Visual Analytics Authors: Michael Thrun, Felix Pape and Alfred Ultsch |
Oct 9 | 5:15pm - 6:30pm | Oct 9 | 2:15am - 3:30am | Oct 9 | 8:15am - 9:30am |
Presenter: Andrew Fitzgibbon
Chair: Michalis Vlachos
Webinar ID: 989 6904 9872
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Oct 9 | 11:00pm - 11:20pm | Oct 9 | 8:00am - 8:20am | Oct 9 | 2:00pm - 2:20pm |
Closing Remarks and Introduction to DSAA 2021
Presenters: Longbing Cao and Joao Gama
Chair: Geoff Webb
Webinar ID: 913 8389 8636
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Sydney Time | NY Time | Europe (CEST) Time | Parallel Tutorials |
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Oct 9 | 5:00pm - 8:00pm | Oct 9 | 2:00am - 5:00am | Oct 9 | 8:00am - 11:00am |
Tutorial 3: eXplainable Decision-Support Making
Presenters: Riccardo Guidotti, Anna Monreale, Salvo Rinzivillo, Przemyslaw Biecek
Chair: Hua Wang
Webinar ID: 967 3975 8238
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Oct 9 | 8:00pm - 11:00pm | Oct 9 | 5:00am - 8:00am | Oct 9 | 11:00am - 2:00pm |
Tutorial 4: Computational approaches to study fake news, and misinformation diffusion
Presenters: Giancarlo Francesco Ruffo and Alfonso Semeraro
Chair: Hua Wang
Webinar ID: 967 3975 8238
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Sydney Time | NY Time | Europe (CEST) Time | Parallel Session |
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Oct 9 | 00:00am - 3:10am | Oct 8 | 9:00am - 12:10 pm | Oct 8 | 3:00pm - 6:10pm |
Chair: Mathieu Roche
Welcome to the Special Session Environmental and Geo-spatial Data Analytics Presenters: Juan Antonio Lossio-Ventura, David McMeekin, Mathieu Roche and Maguelonne Teisseire No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series Authors: Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey Webb, Francois Petitjean and Katharina Morik Urban and socio-economic correlates of property price evolution: Application to Dublin's costal area Authors: Damien Dupré On-Board Unit Big Data: Short-term TrafficForecasting in Urban Transportation Networks Authors: Giovanni Buroni, Gianluca Bontempi, Daniele Raimondi, Yann-Ael Le Borgne and Karl Determea Chair: Antonio Lossio
Traffic Flow Estimation using Probe Vehicle Data Authors: Olga Gkountouna, Andreas Züfle and Dieter Pfoser Vehicle Relocation for Ride-Hailing Authors: oon-Seok Kim, Dieter Pfoser and Andreas Züfle Keynote: You need more that just disease data to model diseases: Covariate data needs for the MOOD project
Presenter: William Wint, Environmental Research Group Oxford Performance Evaluation of Low-cost PurpleAir Sensors in Ambient Air Authors: Kabseok Ko, Seokheon Cho and Ramesh R. Rao |