| 2021 | A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors". | Noorali Raeeji Yanehsari, Hadi Fanaee-T, Mahmoud Rahat |
| 2021 | Learning Fashion Similarity Based on Hierarchical Attribute Embedding. | Cairong Yan, Anan Ding, Yanting Zhang, Zijian Wang |
| 2021 | Migrate On-Premises Real-Time Data Analytics Jobs Into the Cloud. | Huijun Wu, Xiaoyao Qian, Hulya Pamukcu Crowell, Tushar Singh, Aleks Shulman, Prashil Bhimani, Abhishek Maloo, Chunxu Tang, Yao Li, Lu Zhang, Chris Ulherr |
| 2021 | DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing. | Alex Watson, Suvam Kumar Das, Suprio Ray |
| 2021 | Overfitting Measurement of Deep Neural Networks Using No Data. | Satoru Watanabe, Hayato Yamana |
| 2021 | Predicting hybrid vehicles' fuel and electric consumption using multitask learning. | Venkata Sai Vivek Uddagiri, Shankara Narayanan Bangalore Ramalingam, Mahmoud Rahat, Peyman Sheikholharam Mashhadi |
| 2021 | On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills. | Rocio Nahime Torres, Piero Fraternali, Andrea Biscontini |
| 2021 | Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. | Juan-Luis Surez, Salvador Garca, Francisco Herrera |
| 2021 | Resolving the message riddle: A multi-pronged approach to infer trouble tickets. | Vikrant Shimpi, Aakash Patel, Siddartha Kshirsagar, Maitreya Natu, Monika Bhave |
| 2021 | Adversarially Generating Rank-Constrained Graphs. | William Shiao, Evangelos E. Papalexakis |
| 2021 | Source detection on networks using spatial temporal graph convolutional networks. | Hao Sha, Mohammad Al Hasan, George O. Mohler |
| 2021 | Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. | Leonid Schwenke, Martin Atzmueller |
| 2021 | Classification of Space Particle Events using Supervised Machine Learning Algorithms. | Rijad Saric, Junchao Chen, Milos Krstic, Edhem Custovic, Goran Panic, Jasmin Kevric, Dejan Jokic |
| 2021 | Predicting batch process to prevent business outages. | Satya Samudrala, Neha Behl, Vikrant Shimpi, Deepa Vaidyanathan, Maitreya Natu |
| 2021 | Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. | Amal Saadallah, Katharina Morik |
| 2021 | A Full-Stack Machine Learning Environment for Rapidly Evolving Industry Applications. | Kayla Robinson, Chris Billman, Muktesh Masih, Kevin Rose, Xi Wang, Kyle Hundman |
| 2021 | CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. | Rodrigo Rivera-Castro, Evgeny Burnaev |
| 2021 | Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. | Youcef Remil, Anes Bendimerad, Marc Plantevit, Cline Robardet, Mehdi Kaytoue |
| 2021 | Towards Treatment Patterns Validation in Lung Cancer Patients. | Arturo Redondo, Beln Ros-Snchez, Guillermo Vigueras, Beln Otero, Roberto Hernndez Lpez, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodrguez Gonzlez |
| 2021 | A Personalized Overdraft Protection Framework. | Karesia Ramlal, Patrick Hosein |
| 2021 | Towards optimized actions in critical situations of soccer games with deep reinforcement learning. | Pegah Rahimian, Afshin Oroojlooy, Lszl Toka |
| 2021 | Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. | Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou |
| 2021 | Mining Mavericks - A data-driven approach to detect spend leakage. | Priyadarshi, Anish Chaugule, Maitreya Natu |
| 2021 | Deep Learning and Multivariate Time Series for Cheat Detection in Video Games. | Jos Pedro Pinto, Andr Pimenta, Paulo Novais |
| 2021 | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. | Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy |