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ORCID8th DSAA 2021: Porto, Portugal
- 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021. IEEE 2021, ISBN 978-1-6654-2099-0
- Hansi Hettiarachchi
, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber:
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media: Extended Abstract. 1-2 - Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen:
NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. 1-9 - Guilherme Alves, Maxime Amblard, Fabien Bernier, Miguel Couceiro, Amedeo Napoli:
Reducing Unintended Bias of ML Models on Tabular and Textual Data. 1-10 - Arnab Chakrabarti, Ravi Prasanna Sukumar, Matthias Jarke, Maximilian Rudack, Paul Buske, Carlo Holly:
Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes. 1-9 - Rijad Saric, Junchao Chen, Milos Krstic, Edhem Custovic, Goran Panic, Jasmin Kevric, Dejan Jokic:
Classification of Space Particle Events using Supervised Machine Learning Algorithms. 1-10 - Sofia Fernandes, Mário Antunes, Diogo Gomes, Rui L. Aguiar:
Misalignment problem in matrix decomposition with missing values. 1-2 - Hongjiao Guan, Yingtao Zhang, Bin Ma, Jian Li, Chunpeng Wang:
A Generalized Optimization Embedded Framework of Undersampling Ensembles for Imbalanced Classification. 1-10 - Kiyotaka Matsue, Mahito Sugiyama:
Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series. 1-12 - Noorali Raeeji Yanehsari, Hadi Fanaee-T, Mahmoud Rahat:
A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors". 1-6 - Satoru Watanabe, Hayato Yamana:
Overfitting Measurement of Deep Neural Networks Using No Data. 1-10 - Suwen Lin, Xian Wu, Nitesh V. Chawla:
motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data. 1-10 - Venkata Sai Vivek Uddagiri, Shankara Narayanan Bangalore Ramalingam, Mahmoud Rahat, Peyman Sheikholharam Mashhadi:
Predicting hybrid vehicles' fuel and electric consumption using multitask learning. 1-6 - Saeede Anbaee Farimani, Majid Vafaei Jahan, Amin Milani Fard, Gholamreza Haffari:
Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction. 1-10 - Alessio Benavoli, Cassio P. de Campos:
Bayesian Independence Test with Mixed-type Variables. 1-13 - Leonid Schwenke, Martin Atzmueller:
Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. 1-12 - Kijun Kim, Shimpei Ohsugi, Noboru Koshizuka:
Machine Learning Model for Frailty Detectxion using Electric Power Consumption Data from Smart Meter. 1-9 - Yinan Li, Fang Liu, Xiao Liu:
Adaptive Noisy Data Augmentation for Regularized Construction of Undirected Graphical Models. 1-10 - Wei Zhang, Chris Challis:
Learning User Preferences Without Feedbacks. 1-2 - Amal Saadallah, Katharina Morik:
Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. 1-8 - Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. 1-2 - Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Cost-based multiclass Algorithms. 1-10 - Michal Koziarski, Colin Bellinger, Michal Wozniak:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. 1-2 - Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa:
Decoupling Autoencoders for Robust One-vs-Rest Classification. 1-10 - Oswaldo Solarte Pabón, Alberto Blázquez-Herranz, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas:
Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach. 1-6 - Di Pang, Katerina Goseva-Popstojanova, Maura Mclaughlin:
Hybrid Recommender System for Detection of Rare Cases Applied to Pulsar Candidate Selection. 1-10 - Dawon Ahn, Jun-Gi Jang, U Kang:
Time-Aware Tensor Decomposition for Sparse Tensors. 1-2 - Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes:
Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification. 1-10 - Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Luís Torgo:
Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. 1-10 - Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck:
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. 1-9 - Bartosz Krawczyk:
Tensor Decision Trees for Continual Learning from Drifting Data Streams. 1-2 - Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma:
Interpretable Prediction of Diabetes from Tabular Health Screening Records Using an Attentional Neural Network. 1-11 - Vikrant Shimpi, Aakash Patel, Siddartha Kshirsagar, Maitreya Natu, Monika Bhave:
Resolving the message riddle: A multi-pronged approach to infer trouble tickets. 1-2 - Yi Cai, Arthur Zimek, Eirini Ntoutsi:
XPROAX-Local explanations for text classification with progressive neighborhood approximation. 1-10 - Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou:
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. 1-10 - Ziye Ma, Somayeh Sojoudi:
A Sequential Framework Towards an Exact SDP Verification of Neural Networks. 1-8 - Karesia Ramlal, Patrick Hosein:
A Personalized Overdraft Protection Framework. 1-8 - Patrick Hosein, Gabriela Sewdhan, Aviel Jailal:
Soft-Churn: Optimal Switching between Prepaid Data Subscriptions on E-SIM support Smartphones. 1-6 - Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. 1-10 - Carson K. Leung, Adam G. M. Pazdor, Joglas Souza:
Explainable Artificial Intelligence for Data Science on Customer Churn. 1-10 - Bernat Coma-Puig, Josep Carmona:
Non-Technical Losses Detection in Energy Consumption Focusing on Energy Recovery and Explainability: Extended Abstract. 1-2 - Alejandro Gabriel Villanueva Zacarias, Christian Weber, Peter Reimann, Bernhard Mitschang:
AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases. 1-12 - Zaiqian Chen, Joonsuk Park:
Analyzing Cultural Assimilation through the Lens of Yelp Restaurant Reviews. 1-10 - Cong Yang, Wenfeng Wang, Yunhui Zhang, Zhikai Zhang, Lina Shen, Yipeng Li, John See:
MLife: A Lite Framework for Machine Learning Lifecycle Initialization. 1-2 - Kayla Robinson, Chris Billman, Muktesh Masih, Kevin Rose, Xi Wang, Kyle Hundman:
A Full-Stack Machine Learning Environment for Rapidly Evolving Industry Applications. 1-3 - Arturo Redondo, Belén Ríos-Sánchez, Guillermo Vigueras, Belén Otero, Roberto Hernández López, Maria Torrente, Ernestina Menasalvas, Mariano Provencio, Alejandro Rodríguez González:
Towards Treatment Patterns Validation in Lung Cancer Patients. 1-8 - Huijun Wu, Xiaoyao Qian, Hulya Pamukcu Crowell, Tushar Singh, Aleks Shulman, Prashil Bhimani, Abhishek Maloo, Chunxu Tang, Yao Li, Lu Zhang, Chris Ulherr:
Migrate On-Premises Real-Time Data Analytics Jobs Into the Cloud. 1-2 - Leilani H. Gilpin, Vishnu Penubarthi, Lalana Kagal:
Explaining Multimodal Errors in Autonomous Vehicles. 1-10 - Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama:
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. 1-10 - Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk:
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. 1-6 - Yunxiao Zhang, Xiaochuan Zhang, Tianlong Shen, Yuan Zhou, Zhiyuan Wang:
Feature-Option-Action: A domain adaption transfer reinforcement learning framework. 1-12 - Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro:
A Neural Approach for Detecting Morphological Analogies. 1-10 - Alessia Galdeman, Cheick Tidiane Ba, Matteo Zignani, Sabrina Gaito:
A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data. 1-10 - Hao Sha, Mohammad Al Hasan, George O. Mohler:
Source detection on networks using spatial temporal graph convolutional networks. 1-11 - Anirban Mondal, Raghav Mittal, Vrinda Khandelwal, Parul Chaudhary, P. Krishna Reddy:
PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. 1-10 - Viet Yen Nguyen, Andréa B. Duque, Jules Belveze, Lukas D. Baker, Astrid Harsaae, Pedro Pessoa, Inês Oliveira:
Atlastic Reputation AI: Four Years of Advancing and Applying a SOTA NLP Classifier. 1-2 - Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson:
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. 1-2 - Seif-Eddine Attoui, Maroua Meddeb:
A generic framework for forecasting short-term traffic conditions on urban highways. 1-10 - Priyadarshi, Anish Chaugule, Maitreya Natu:
Mining Mavericks - A data-driven approach to detect spend leakage. 1-2 - Fuchen Gao, Zhanquan Wang, Zhenguang Liu:
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. 1-10 - Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah:
A Framework for Statistically-Sound Customer Segment Search. 1-10 - Luis E. Colchado, Edwin Villanueva, José Ochoa Luna:
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. 1-10 - William Shiao, Evangelos E. Papalexakis:
Adversarially Generating Rank-Constrained Graphs. 1-8 - Hao Chen, Ben van Rijnsoever, Marcel Molenhuis, Dennis van Dijk, Yao-Hua Tan, Boriana Rukanova:
The use of machine learning to identify the correctness of HS Code for the customs import declarations. 1-8 - Lijun Zhang, Ning Li, Zhanhuai Li:
An Overview on Supervised Semi-structured Data Classification. 1-10 - Safa Boudabous, Stéphan Clémençon, Houda Labiod, Julian Garbiso:
Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. 1-10 - Pegah Rahimian, Afshin Oroojlooy, László Toka:
Towards optimized actions in critical situations of soccer games with deep reinforcement learning. 1-12 - Rodrigo Rivera-Castro, Evgeny Burnaev:
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. 1-3 - Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie:
Conditional t-SNE: More informative t-SNE embeddings. 1-2 - Muhammad Sibtain Hamayun, Olga Ivina:
Opportunistic Resource Allocation driven by pattern recognition to attain High Availability in Vision based Edge Compute Systems. 1-3 - Alessio Benavoli, Dario Azzimonti, Dario Piga:
A Unified Framework for Closed-Form Nonparametric Regression, Classification, Preference and Mixed Problems with Skew Gaussian Processes. 1-2 - Alex Watson, Suvam Kumar Das, Suprio Ray:
DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing. 1-10 - José Pedro Pinto, André Pimenta, Paulo Novais:
Deep Learning and Multivariate Time Series for Cheat Detection in Video Games. 1-2 - Michal Kuk, Szymon Bobek, Grzegorz J. Nalepa:
Explainable clustering with multidimensional bounding boxes. 1-10 - Shima Khoshraftar, Sedigheh Mahdavi, Aijun An:
Centrality-based Interpretability Measures for Graph Embeddings. 1-10 - Guillaume Ausset, Tom Ciffreo, François Portier, Stéphan Clémençon, Timothée Papin:
Individual Survival Curves with Conditional Normalizing Flows. 1-10 - Romain Mathonat, Diana Nurbakova, Jean-François Boulicaut, Mehdi Kaytoue:
Anytime Subgroup Discovery in High Dimensional Numerical Data. 1-10 - Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao:
Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. 1-10 - Cairong Yan, Haixia Han, Zijian Wang, Yanting Zhang:
Two-Phase Multi-armed Bandit for Online Recommendation. 1-8 - Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen, Ehab Al-Shaer:
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. 1-12 - Jakub Jakubowski, Przemyslaw Stanisz, Szymon Bobek, Grzegorz J. Nalepa:
Explainable anomaly detection for Hot-rolling industrial process. 1-10 - Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam, Sagor Sarker, Mehadi Hasan Menon, Kabir Hossain, Md. Azam Hossain, Stefan Decker:
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. 1-10 - Erick Skorupa Parolin, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio, Jennifer S. Holmes:
3M-Transformers for Event Coding on Organized Crime Domain. 1-10 - Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. 1-2 - Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. 1-2 - Cairong Yan, Anan Ding, Yanting Zhang, Zijian Wang:
Learning Fashion Similarity Based on Hierarchical Attribute Embedding. 1-8 - Satya Samudrala, Neha Behl, Vikrant Shimpi, Deepa Vaidyanathan, Maitreya Natu:
Predicting batch process to prevent business outages. 1-2 - Sofia Oliveira, Daniel Loureiro, Alípio Jorge:
Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning. 1-9 - Rocio Nahime Torres, Piero Fraternali, Andrea Biscontini:
On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills. 1-10 - Safa Boudabous, Stéphan Clémençon, Houda Labiod, Julian Garbiso:
Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. 1-10
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