| 2021 | 3M-Transformers for Event Coding on Organized Crime Domain. Erick Skorupa Parolin, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio, Jennifer S. Holmes |
| 2021 | 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021 |
| 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 | A Framework for Statistically-Sound Customer Segment Search. Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah |
| 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 | A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification. Hongjiao Guan, Yingtao Zhang, Bin Ma, Jian Li, Chunpeng Wang |
| 2021 | A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data. Alessia Galdeman, Cheick Tidiane Ba, Matteo Zignani, Sabrina Gaito |
| 2021 | A Neural Approach for Detecting Morphological Analogies. Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro |
| 2021 | A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. Luis E. Colchado, Edwin Villanueva, José Ochoa Luna |
| 2021 | A Personalized Overdraft Protection Framework. Karesia Ramlal, Patrick Hosein |
| 2021 | A Sequential Framework Towards an Exact SDP Verification of Neural Networks. Ziye Ma, Somayeh Sojoudi |
| 2021 | A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. Alessio Benavoli, Dario Azzimonti, Dario Piga |
| 2021 | A generic framework for forecasting short-term traffic conditions on urban highways. Seif-Eddine Attoui, Maroua Meddeb |
| 2021 | Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo |
| 2021 | Adaptive Noisy Data Augmentation for Regularized Construction of Undirected Graphical Models. Yinan Li, Fang Liu, Xiao Liu |
| 2021 | Adversarially Generating Rank-Constrained Graphs. William Shiao, Evangelos E. Papalexakis |
| 2021 | An Overview on Supervised Semi-structured Data Classification. Lijun Zhang, Ning Li, Zhanhuai Li |
| 2021 | Analyzing Cultural Assimilation through the Lens of Yelp Restaurant Reviews. Zaiqian Chen, Joonsuk Park |
| 2021 | Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson |
| 2021 | Anytime Subgroup Discovery in High Dimensional Numerical Data. Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue |
| 2021 | AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases. Alejandro Gabriel Villanueva Zacarias, Christian Weber, Peter Reimann, Bernhard Mitschang |
| 2021 | Atlastic Reputation AI: Four Years of Advancing and Applying a SOTA NLP Classifier. Viet Yen Nguyen, Andréa B. Duque, Jules Belveze, Lukas D. Baker, Astrid Harsaae, Pedro Pessoa, Inês Oliveira |
| 2021 | Bayesian Independence Test with Mixed-type Variables. Alessio Benavoli, Cassio P. de Campos |
| 2021 | CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. Rodrigo Rivera-Castro, Evgeny Burnaev |
| 2021 | Centrality-based Interpretability Measures for Graph Embeddings. Shima Khoshraftar, Sedigheh Mahdavi, Aijun An |
| 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 | Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes |
| 2021 | Conditional t-SNE: More informative t-SNE embeddings. Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie |
| 2021 | Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. Leonid Schwenke, Martin Atzmueller |
| 2021 | DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing. Alex Watson, Suvam Kumar Das, Suprio Ray |
| 2021 | Decoupling Autoencoders for Robust One-vs-Rest Classification. Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa |
| 2021 | Deep Learning and Multivariate Time Series for Cheat Detection in Video Games. José Pedro Pinto, André Pimenta, Paulo Novais |
| 2021 | DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam, Sagor Sarker, Mehadi Hasan Menon, Kabir Hossain, Md. Azam Hossain, Stefan Decker |
| 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 | Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. Safa Boudabous, Stéphan Clémençon, Houda Labiod, Julian Garbiso |
| 2021 | Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. Safa Boudabous, Stéphan Clémençon, Houda Labiod, Julian Garbiso |
| 2021 | Early Classification of Time Series: Cost-based multiclass Algorithms. Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire |
| 2021 | Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes. Arnab Chakrabarti, Ravi Prasanna Sukumar, Matthias Jarke, Maximilian Rudack, Paul Buske, Carlo Holly |
| 2021 | Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber |
| 2021 | Explainable Artificial Intelligence for Data Science on Customer Churn. Carson K. Leung, Adam G. M. Pazdor, Joglas Souza |
| 2021 | Explainable anomaly detection for Hot-rolling industrial process. Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa |
| 2021 | Explainable clustering with multidimensional bounding boxes. Michal Kuk, Szymon Bobek, Grzegorz J. Nalepa |
| 2021 | Explaining Multimodal Errors in Autonomous Vehicles. Leilani H. Gilpin, Vishnu Penubarthi, Lalana Kagal |
| 2021 | Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas |
| 2021 | Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk |
| 2021 | Feature-Option-Action: A domain adaption transfer reinforcement learning framework. Yunxiao Zhang, Xiaochuan Zhang, Tianlong Shen, Yuan Zhou, Zhiyuan Wang |
| 2021 | Hybrid Recommender System for Detection of Rare Cases Applied to Pulsar Candidate Selection. Di Pang, Katerina Goseva-Popstojanova, Maura Mclaughlin |
| 2021 | Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck |
| 2021 | Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning. Sofia Oliveira, Daniel Loureiro, Alípio Jorge |
| 2021 | Individual Survival Curves with Conditional Normalizing Flows. Guillaume Ausset, Tom Ciffreo, François Portier, Stéphan Clémençon, Timothée Papin |
| 2021 | Interpretable Prediction of Diabetes from Tabular Health Screening Records Using an Attentional Neural Network. Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma |
| 2021 | Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue |
| 2021 | Learning Fashion Similarity Based on Hierarchical Attribute Embedding. Cairong Yan, Anan Ding, Yanting Zhang, Zijian Wang |
| 2021 | Learning User Preferences Without Feedbacks. Wei Zhang, Chris Challis |
| 2021 | Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction. Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Gholamreza Haffari |
| 2021 | MLife: A Lite Framework for Machine Learning Lifecycle Initialization. Cong Yang, Wenfeng Wang, Yunhui Zhang, Zhikai Zhang, Lina Shen, Yipeng Li, John See |
| 2021 | Machine Learning Model for Frailty Detectxion using Electric Power Consumption Data from Smart Meter. Kijun Kim, Shimpei Ohsugi, Noboru Koshizuka |
| 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 | Mining Mavericks - A data-driven approach to detect spend leakage. Priyadarshi, Anish Chaugule, Maitreya Natu |
| 2021 | Misalignment problem in matrix decomposition with missing values. Sofia Fernandes, Mário Antunes, Diogo Gomes, Rui L. Aguiar |
| 2021 | NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen |
| 2021 | Non-Technical Losses Detection in Energy Consumption Focusing on Energy Recovery and Explainability: Extended Abstract. Bernat Coma-Puig, Josep Carmona |
| 2021 | On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills. Rocio Nahime Torres, Piero Fraternali, Andrea Biscontini |
| 2021 | Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. Amal Saadallah, Katharina Morik |
| 2021 | Opportunistic Resource Allocation driven by pattern recognition to attain High Availability in Vision based Edge Compute Systems. Muhammad Sibtain Hamayun, Olga Ivina |
| 2021 | Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. Juan-Luis Suárez, Salvador García, Francisco Herrera |
| 2021 | Overfitting Measurement of Deep Neural Networks Using No Data. Satoru Watanabe, Hayato Yamana |
| 2021 | PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy |
| 2021 | Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. Fuchen Gao, Zhanquan Wang, Zhenguang Liu |
| 2021 | Predicting batch process to prevent business outages. Satya Samudrala, Neha Behl, Vikrant Shimpi, Deepa Vaidyanathan, Maitreya Natu |
| 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 | Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama |
| 2021 | RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Michal Koziarski, Colin Bellinger, Michal Wozniak |
| 2021 | Reducing Unintended Bias of ML Models on Tabular and Textual Data. Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli |
| 2021 | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy |
| 2021 | Resolving the message riddle: A multi-pronged approach to infer trouble tickets. Vikrant Shimpi, Aakash Patel, Siddartha Kshirsagar, Maitreya Natu, Monika Bhave |
| 2021 | Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao |
| 2021 | Soft-Churn: Optimal Switching between Prepaid Data Subscriptions on E-SIM support Smartphones. Patrick Hosein, Gabriela Sewdhan, Aviel Jailal |
| 2021 | Source detection on networks using spatial temporal graph convolutional networks. Hao Sha, Mohammad Al Hasan, George O. Mohler |
| 2021 | Tensor Decision Trees for Continual Learning from Drifting Data Streams. Bartosz Krawczyk |
| 2021 | The use of machine learning to identify the correctness of HS Code for the customs import declarations. Hao Chen, Ben van Rijnsoever, Marcel Molenhuis, Dennis van Dijk, Yao-Hua Tan, Boriana Rukanova |
| 2021 | Time-Aware Tensor Decomposition for Sparse Tensors. Dawon Ahn, Jun-Gi Jang, U Kang |
| 2021 | Towards Treatment Patterns Validation in Lung Cancer Patients. Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González |
| 2021 | Towards optimized actions in critical situations of soccer games with deep reinforcement learning. Pegah Rahimian, Afshin Oroojlooy, László Toka |
| 2021 | Two-Phase Multi-armed Bandit for Online Recommendation. Cairong Yan, Haixia Han, Zijian Wang, Yanting Zhang |
| 2021 | Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series. Kiyotaka Matsue, Mahito Sugiyama |
| 2021 | V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer |
| 2021 | XPROAX-Local explanations for text classification with progressive neighborhood approximation. Yi Cai, Arthur Zimek, Eirini Ntoutsi |
| 2021 | ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2021 | motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data. Suwen Lin, Xian Wu, Nitesh V. Chawla |