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The 7th IEEE International Conference on Data Science and Advanced Analytics

6-9 October 2020
Sydney, Australia

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The 7th IEEE International Conference on
Data Science and Advanced Analytics

6-9 October 2020
Sydney, Australia

Technical Program
How to attend the Zoom Webinar-based DSAA’2020 online?
DSAA’2020 uses the Zoom Webinar to host sessions. Participants need to download the Zoom App per your device to attend the DSAA’2020 online sessions broadcasted by webinars. The Zoom Webinar performance may depend on your network connection bandwidth, personal computer, and Zoom server. For more information about Zoom system requirements and user support from Zoom. To attend a DSAA’2020 session, please click the webinar ID assigned to that session. You do not need to register Zoom to attend the webinars. No passcodes required for attending a DSAA’2020 webinar.

Session chairs: please join your session webinars before the sessions start and refer to the DSAA’2020 webinar guide for session chairs, speakers, panelists and attendees for more information.
Keynote speakers: speech will be live streamed with live Q/A.
Panel: panel presentation and discussions will be live streamed with live Q/A.
Papers: The session chair will play a 15-minute pre-recorded video of each paper, followed by five minutes live Q/A by the paper authors of main tracks, journal track and special sessions.
Posters: The session chair will play two-minute video of each poster, after playing all poster videos in the session, all poster authors will take live Q/A.
Attendees: can ask questions by raising hands then unmuted for asking, or by Chat or Q&A. All participants are encouraged to use your real names in webinars for easy identification and communication. The default time is based on the Sydney Daylight Saving Time UTC.GMT +11 hours. You can convert to New York or European time for your convenience.

All participants are encouraged to use your real names in webinars for easy identification and communication. The default time is based on the Sydney Daylight Saving Time UTC.GMT +11 hours. You can convert to New York or European time for your convenience.

Welcome to download the DSAA’2020 webinar virtual background.

For enquiries, please contact us at DSAA2020@DSAA.CO.
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Europe (CEST)
Sydney Time NY Time Europe (CEST) Time Session
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
Oct 6 | 9:00am - 10:20am Oct 5 | 6:00pm - 7:20pm Oct 6 | 0:00am - 1:20am
Graph Mining 1
Chair: Uday Kiran

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
Data Mining 1
Chair: Carson Leung

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
Machine Learning Applications 1
Chair: Yusan Lin

Weakly Supervised Person Search

Authors: Lan Yan, Wenbo Zheng, Chao Gou and Fei-Yue Wang

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
Oct 6 | 3:30pm - 5:00pm Oct 6 | 0:30am - 2:00am Oct 6 | 6:30am - 8:00am
Poster 1
Chair: Wei Zhang

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
Machine Learning Theory 1
Chair: Toshihiro Kamishima

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
Graph Mining II
Chair: Giuseppe Di Fatta

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
Machine Learning Application II
Chair: Zoltan Miklos

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
Poster II
Chair: Alvin Chin

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
Oct 7 | 0:10am - 1:50am Oct 6 | 9:10am - 10:50am Oct 6 | 3:10pm - 4:50pm
Machine Learning Theory II
Chair: Dhaval Patel

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

AdvPL: Adversarial Personalized Learning

Authors: Wei Du and Xintao Wu

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
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
Oct 7 | 6:10am - 7:50am Oct 6 | 3:10pm - 4:50pm Oct 6 | 9:10pm - 10:50pm
Data Mining Application
Chair: Jerry Chun-Wei Lin

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
Stream and Sequence Data Learning
Chair: Mohit Sharma

Economic Worth-Aware Word Embeddings

Authors: Yusan Lin, Peifeng Yin and Wang-Chien Lee

SesameBERT: Attention for Anywhere

Authors: Ta-Chun Su and Hsiang-Chih Cheng

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

Period Estimation For Incomplete Time Series

Authors: Lin Zhang and Petko Bogdanov

Oct 7 | 9:50am - 11:20am Oct 6 | 6:50pm - 8:20pm Oct 7 | 0:50am - 2:20am
Poster III
Chair: Emrah Akyol

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

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

Cryptocurrencies Asset Pricing via Machine Learning

Author: Qiyu Wang

Sydney Time NY Time Europe (CEST) Time Parallel Session
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
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

Profiling Bots and Fake News Spreaders at PAN'19 and PAN'20

Author: Juan Pizarro

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
Oct 8 | 11:00am - 12:40pm Oct 7 | 8:00pm - 9:40pm Oct 8 | 2:00am - 3:40am
Applications 1
Chair: Wee Hyong Tok

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
Applications 2
Chair: Le Zhang

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
Sydney Time NY Time Europe (CEST) Time Parallel Session
Oct 8 | 10:00am - 3:30pm Oct 7 | 7:00pm - Oct 8 | 0:30am Oct 8 | 1:00am - 6:30am
Special Session: PSTCI
Chair: Xuyun Zhang and Guanfeng Liu
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
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
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
Sydney Time NY Time Europe (CEST) Time Session
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
Oct 9 | 11:00am - 12:20pm Oct 8 | 8:00pm - 9:20pm Oct 9 | 2:00am - 3:20am
Applications 3
Chair: Jie Yang

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
Applications 4
Chair: Yanchang Zhao

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
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
Sydney Time NY Time Europe (CEST) Time Parallel Tutorials
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
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
Sydney Time NY Time Europe (CEST) Time Parallel Session
Oct 9 | 00:00am - 3:10am Oct 8 | 9:00am - 12:10 pm Oct 8 | 3:00pm - 6:10pm
Special Session: EnGeoData
Chair: Mathieu Roche and Antonio Lossio
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