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ORCID7th DSAA 2020: Sydney, Australia
- Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 - Waqar Hassan
, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
Accurately Quantifying a Billion Instances per Second. 1-10 - R. Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases. 11-20 - Félix Iglesias Vázquez, Tanja Zseby, Arthur Zimek:
Interpretability and Refinement of Clustering. 21-29 - Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer:
Learning Fair and Transferable Representations with Theoretical Guarantees. 30-39 - Lin Zhang, Petko Bogdanov:
Period Estimation For Incomplete Time Series. 40-49 - Farzaneh Shoeleh, Masoud Erfani, Duc-Phong Le, Ali A. Ghorbani:
Ensemble of Hierarchical Temporal Memory for Anomaly Detection. 50-59 - Chinmay Bapna, Krishna Reddy Polepalli, Anirban Mondal:
Improving Product Placement in Retail with Generalized High-Utility Itemsets. 60-69 - Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie:
Block-Approximated Exponential Random Graphs. 70-80 - Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta:
Spatio-Temporal Functional Neural Networks. 81-89 - Wei Du, Xintao Wu:
AdvPL: Adversarial Personalized Learning. 90-98 - Shota Hayashi, Mahito Sugiyama, Shin Matsushima:
Coordinate Descent Method for Log-linear Model on Posets. 99-108 - Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. 109-117 - Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan:
Mix2Vec: Unsupervised Mixed Data Representation. 118-127 - Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu:
Sequence Learning with Side Dependencies. 128-137 - Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie:
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? 138-147 - Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo:
CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement. 148-157 - Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FONDUE: Framework for Node Disambiguation Using Network Embeddings. 158-167 - Ekta Gujral, Evangelos E. Papalexakis:
OnlineBTD: Streaming Algorithms to Track the Block Term Decomposition of Large Tensors. 168-177 - Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. 178-187 - Lan Yan, Wenbo Zheng, Fei-Yue Wang, Chao Gou:
Weakly Supervised Person Search. 188-196 - Paolo Pellizzoni, Andrea Pietracaprina, Geppino Pucci:
Dimensionality-adaptive k-center in sliding windows. 197-206 - Al Amin Hosain, Panneer Selvam Santhalingam, Parth H. Pathak, Jana Kosecká, Huzefa Rangwala:
Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition. 207-215 - Vasiliki Voukelatou, Luca Pappalardo, Ioanna Miliou, Lorenzo Gabrielli, Fosca Giannotti:
Estimating countries' peace index through the lens of the world news as monitored by GDELT. 216-225 - Yongping Luo, Peiquan Jin, Shouhong Wan:
Optimal Data Placement for Data-Centric Algorithms on NVM-Based Hybrid Memory. 226-235 - Cheng-En Sung, Hao-Shang Ma, Jen-Wei Huang:
Positive Influence Maximization and Negative Influence Minimization in Signed Networks under Competitive Independent Cascade Model. 236-244 - Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima:
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. 245-254 - Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li, Yuan Liu:
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior. 255-263 - Amal Saadallah, Katharina Morik:
Active Sampling for Learning Interpretable Surrogate Machine Learning Models. 264-272 - He Liu, Xiaocheng Yang, Huaping Liu, Tao Kong, Fuchun Sun:
Near-duplicated Loss for Accurate Object Localization. 273-281 - Shuo Liu, Lisa Singh, Kevin Tian:
Information Exposure From Relational Background Knowledge on Social Media. 282-291 - Ananya Mukherjee, Hema Ala, Manish Shrivastava, Dipti Misra Sharma:
MEE : An Automatic Metric for Evaluation Using Embeddings for Machine Translation. 292-299 - Hongbin Lin, Xi Zhang, Xianghua Fu:
A Graph Convolutional Encoder and Decoder Model for Rumor Detection. 300-306 - Pascal Welke:
Efficient Frequent Subgraph Mining in Transactional Databases. 307-314 - Wenli Sun, Changgee Chang, Qi Long:
Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data. 315-323 - Tilemachos Pechlivanoglou, Mahmoud Alsaeed, Manos Papagelis:
MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems. 324-333 - Tong Huang, Lihua Zhou, Lizhen Wang, Guowang Du, Kevin Lü:
Attributed Network Embedding with Community Preservation. 334-343 - Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Economic Worth-Aware Word Embeddings. 344-353 - Qingxuan Zhang, Chongyang Shi:
Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction. 354-362 - Ta-Chun Su, Hsiang-Chih Cheng:
SesameBERT: Attention for Anywhere. 363-369 - Kei Nakagawa, Masaya Abe, Junpei Komiyama:
RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. 370-379 - Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra:
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns. 380-389 - Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez:
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. 390-399 - Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang:
Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. 400-409 - Erick Skorupa Parolin, Latifur Khan, Javier Osorio, Vito D'Orazio, Patrick T. Brandt, Jennifer S. Holmes:
HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain. 410-419 - Chuanren Liu, Wenxiang Zhu:
Precision Coupon Targeting with Dynamic Customer Triage. 420-428 - Aditi Maheshwari, Curtis E. Dyreson, Jennifer Reeve, Vishal Sharma, Anthony Whaley:
Automating and Analyzing Whole-Farm Carbon Models. 429-438 - Lize Coenen, Ahmed K. A. Abdullah, Tias Guns:
Probability of default estimation, with a reject option. 439-448 - Himel Dev, Hossein Hamooni:
Profiling US Restaurants from Billions of Payment Card Transactions. 449-458 - Jiaqi Lu, Benjamin C. M. Fung, William K. Cheung:
Embedding for Anomaly Detection on Health Insurance Claims. 459-468 - Fares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby:
Cross-Layer Profiling of Encrypted Network Data for Anomaly Detection. 469-478 - Michael C. Thrun, Felix Pape, Alfred Ultsch:
Interactive Machine Learning Tool for Clustering in Visual Analytics. 479-487 - Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima:
Stress Prediction from Head Motion. 488-495 - David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon:
Using Data Science to Improve the Identification of Plant Nutritional Status. 496-505 - Raphael Sahann, Claudia Plant, Torsten Möller:
A Distance Metric for Sets of Events. 506-515 - Rui Zhang, Maéva Vignes, Ulrich Steiner, Arthur Zimek:
Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories. 516-525 - Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller:
Why Should I Trust This Item? Explaining the Recommendations of any Model. 526-535 - Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni:
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. 536-545 - Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik:
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. 546-555 - Damien Dupré:
Urban and socio-economic correlates of property prices in Dublin's area. 556-562 - Kabseok Ko, Seokheon Cho, Ramesh R. Rao:
Performance Evaluation of Low-cost PurpleAir Sensors in Ambient Air. 563-568 - Giovanni Buroni, Yann-Aël Le Borgne, Gianluca Bontempi, Daniele Raimondi, Karl Determe:
On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks. 569-578 - Olga Gkountouna, Dieter Pfoser, Andreas Züfle:
Traffic Flow Estimation using Probe Vehicle Data. 579-588 - Joon-Seok Kim, Dieter Pfoser, Andreas Züfle:
Vehicle Relocation for Ride-Hailing. 589-598 - Inna Vogel, Meghana Meghana:
Detecting Fake News Spreaders on Twitter from a Multilingual Perspective. 599-606 - Assunta Cerone, Elham Naghizade, Falk Scholer, Devi Mallal, Russell Skelton, Damiano Spina:
Watch 'n' Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts. 607-613 - Emilio Sulis, Marcella Tambuscio:
Simulation of misinformation spreading processes in social networks: an application with NetLogo. 614-618 - Caireann Kennedy, Josephine Griffith:
Using markup language to differentiate between reliable and unreliable news. 619-625 - Juan Pizarro:
Profiling Bots and Fake News Spreaders at PAN'19 and PAN'20 : Bots and Gender Profiling 2019, Profiling Fake News Spreaders on Twitter 2020. 626-630 - David Dukic, Dominik Keca, Dominik Stipic:
Are You Human? Detecting Bots on Twitter Using BERT. 631-636 - H. Ruda Nie, Xiuzhen Zhang, Minyi Li, Anil Dolgun, James Baglin:
Modelling User Influence and Rumor Propagation on Twitter using Hawkes Processes. 637-646 - Anastasia Giachanou, Guobiao Zhang, Paolo Rosso:
Multimodal Multi-image Fake News Detection. 647-654 - Fan Wang, Weiyi Zhong, Xiaolong Xu, Wajid Rafique, Zhili Zhou, Lianyong Qi:
Privacy-aware Cold-Start Recommendation based on Collaborative Filtering and Enhanced Trust. 655-662 - Tingting Shi, Lei Xiao, Keshou Wu:
Reinforcement Learning Based Test Case Prioritization for Enhancing the Security of Software. 663-672 - Sheraz Ali, Muhammad Maaz Irfan, Abubakar Bomai, Chuan Zhao:
Towards Privacy-Preserving Deep Learning: Opportunities and Challenges. 673-682 - Abubakar Bomai, Mohammed Shujaa Aldeen, Chuan Zhao:
Privacy-Preserving GWAS Computation on Outsourced Data Encrypted under Multiple Keys Through Hybrid System. 683-691 - Qi Chen, Xiaomei Yu, Nan Liu, Xiaoning Yuan, Zhaojie Wang:
Personalized Course Recommendation Based on Eye-Tracking Technology and Deep Learning. 692-698 - Wenxiang Wu, Shaojing Fu, Yuchuan Luo:
Practical Privacy Protection Scheme In WiFi Fingerprint-based Localization. 699-708 - Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang:
Naive Bayes Classification under Local Differential Privacy. 709-718 - Balkaran Singh, Quan Sun, Yun Sing Koh, Junjae Lee, Edmond Zhang:
Detecting Protected Health Information with an Incremental Learning Ensemble: A Case Study on New Zealand Clinical Text. 719-728 - Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer:
Fair pairwise learning to rank. 729-738 - Nancirose Piazza:
Classification Between Machine Translated Text and Original Text By Part Of Speech Tagging Representation. 739-740 - Ishan Jain, Neeraj Rattehalli:
An Adaptive Utilization of Convolutional Matrix Methods of Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Memory Recall Works. 741-742 - Siddharth Sharma:
DermaDetect: A novel computer vision model for an accurate diagnosis of skin conditions and rashes. 743-744 - Maram Almaghrabi, Girija Chetty:
Improving Sentiment Analysis in Arabic and English Languages by Using Multi-Layer Perceptron Model (MLP). 745-746 - Ketan Rajshekhar Shahapure, Charles Nicholas:
Cluster Quality Analysis Using Silhouette Score. 747-748 - Erick Orozco-Acosta, Aritz Adin, María Dolores Ugarte:
Bayesian Modeling Approach in Big Data Contexts: an Application in Spatial Epidemiology. 749-750 - Hongfei Liu, Qian Gao:
An Automatic Document Summarization Approach based on Fuzzy Ontology and Machine Learning. 751-752 - Sangyul Lee, Hee-Seok Oh:
Robust Multivariate Regression on Riemannian Manifolds. 753-754 - Izel Çavusoglu, Maren Pielka, Rafet Sifa:
Adapting Established Text Representations for Predicting Review Sentiment in Turkish. 755-756 - Yuehao Xu, Renjie Sun, Yanping Wu, Chen Chen, Xiaoyang Wang:
Querying Influential Maximum Connected Community in Large Graphs. 757-758 - Ajay Shah, Sophine Clachar, Manfred Minimair, Davis Cook:
Building Multiclass Classification Baselines for Anomaly-based Network Intrusion Detection Systems. 759-760 - Rudrani Sharma, Christoph Schommer, Nicolas Vivarelli:
Building up Explainability in Multi-layer Perceptrons for Credit Risk Modeling. 761-762 - Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang:
Predicting Workplace Injuries Using Machine Learning Algorithms. 763-764 - Hanna Kondratiuk, Rafet Sifa:
Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls. 765-766 - Erik M. Fay:
Measuring Indirect External Threat: A Time Series Sentiment Analysis of NATO Resolutions. 767-768 - Yi Wei, Vipin Chaudhary:
The Directionality Function Defect of Performance Evaluation Method in Regression Neural Network for Stock Price Prediction. 769-770 - Jinwook Kim, Min-Soo Kim:
Improving Neural Networks using Slice Models for Similar Classes. 771-772 - Samudra Herath, Matthew Roughan, Gary Glonek:
Landmarks-based Blocking Method For Large-scale Entity Resolution. 773-774 - Daryna Dementieva, Alexander Panchenko:
Fake News Detection using Multilingual Evidence. 775-776 - Ritwik Sinha, Shiv Kumar Saini, Moumita Sinha, David Arbour:
Bayesian Estimation of the Effect of Television Advertising on Web Metrics. 777-778 - Kazuhide Aikoh, Yuya Isoda, Ken Sugimoto:
Data Profiling Method for Metadata Management. 779-780 - Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann:
Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. 781-782 - Paulo Paraíso, Pedro Gomes, Saulo Ruiz, Luís Rodrigues, João Gama:
Using Network Features for Credit Scoring in MicroFinance: Extended Abstract. 783-784 - Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé:
Incremental learning strategies for credit cards fraud detection: Extended abstract. 785-786 - Valentina Shumovskaia, Kirill Fedyanin, Ivan Sukharev, Dmitry Berestnev, Maxim Panov:
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract. 787-788 - Qiyu Wang:
Cryptocurrencies asset pricing via machine learning: Extended abstract. 789-790 - Ka Yee Wong, Raymond K. Wong:
Big Data Quality Prediction on Banking Applications: Extended Abstract. 791-792 - Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik:
Generalized Isolation Forest: Some Theory and More Applications Extended Abstract. 793-794
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last updated on 2024-12-05 20:49 CET by the dblp team
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