Accepted Papers

1. AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases
   Alejandro Gabriel Villanueva Zacarias (University of Stuttgart)*; Christian Weber (University of Stuttgart); Peter Reimann (University of Stuttgart); Bernhard Mitschang (University of Stuttgart)
   
   
2. A Generalized Optimization Embedded Model of Undersampling Ensembles for Imbalanced Classification
   Hongjiao Guan (Qilu University of Technology (Shandong Academy of Sciences))*; Bin Ma (Qilu University of Technology); Jian Li (Qilu University of Technology); Chunpeng Wang (Qilu University of Technology); Xianglong Tang (Harbin Institute of Technology)
   
   
3. NEDRL-CIM:Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks
   Khurshed Ali (Academia Sinica); Chih-Yu Wang (Academia Sinica)*; Mi-Yen Yeh (Academia Sinica); Cheng-Te Li (National Cheng Kung University); Yi-Shin Chen (National Tsing Hua University)
   
   
4. Individual Survival Curves with Conditional Normalizing Flows
   Guillaume Ausset ( Télécom Paris)*; François Portier (Télécom Paris); Stephan Clémençon (Télécom Paris); Tom Ciffreo (BNPP); Timothée Papin (BNPP)
   
   
5. A Sequential Framework Towards an Exact SDP Verification of Neural Networks
   Ziye Ma (UC Berkeley)*; Somayeh Sojoudi (UC Berkeley)
   
   
   
6. Early Classification of Time Series: Cost-based multiclass Algorithms
   Paul-Emile Zafar (Orange Labs); Youssef Achenchabe (Orange Labs)*; Alexis Bondu (Orange); Antoine Cornuéjols (AgroParisTech); Vincent Lemaire (Orange)
   
   
7. Adaptive Noisy Data Augmentation for Regularized Construction of Undirected Graphical Models
   Fang Liu (University of Notre Dame)*; Yinan Li (University of Notre Dame); Xiao Liu (University of Notre Dame)
   
   
8. Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems
   Duc Anh D.A Nguyen (Leiden University)*; Jiawen Kong (Leiden University); Hao Wang (University Leiden); Stefan Menzel (Honda Research Institute Europe GmbH); Bernhard Sendhoff (Honda Research Institute Europe GmbH); Anna V. Kononova (Leiden University); Thomas Bäck (University Leiden)
   
   
9. Reducing Unintended Bias of ML Models on Tabular and Textual Data
   Guilherme Alves (INRIA Nancy-Grand Est)*; Fabien Bernier (LORIA); Miguel Couceiro (LORIA); Amedeo Napoli (LORIA, Nancy, France); Maxime Amblard ()
   
   
10. A Neural Approach for Detecting Morphological Analogies
    Safa Alsaidi (Université de Lorraine); Amandine Decker (Université de Lorraine); Puthineath Lay (University of Lorriane); Esteban Marquer (Loria)*; Pierre-Alexandre Murena (Aalto University); Miguel Couceiro (LORIA)
    
    
11. Anytime Subgroup Discovery in High Dimensional Numerical Data
    Romain Mathonat (Infologic)*; Mehdi Kaytoue (Infologic); Jean-Francois Boulicaut (INSA Lyon); Diana Nurbakova (INSA Lyon)
    
    
12. Bayesian Independence Test with Mixed-type Variables
    Alessio Benavoli (Trinity College Dublin); Cassio de Campos (Eindhoven University of Technology)*
    
    
13. motif2vec: Semantic-aware Representation Learning for Wearables’ Time Series Data
    Suwen Lin (university of notre dame)*; Xian Wu (University of Notre Dame); Nitesh Chawla (Notre Dame)
    
    
14. Combining Static and Dynamic Analysis to Improve Machine Learning-based Malware Classification
    Rajchada chanajitt (Waikato University)*; Bernhard Pfahringer (University of Waikato); Heitor Murilo Gomes (University of Waikato)
    
    
15. Overfitting Measurement of Deep Neural Networks Using No Data
    Satoru Watanabe (Waseda university)*; Hayato Yamana (Waseda University, Japan)
    
    
16. Feature-Option-Action: A domain adaption transfer reinforcement learning framework
    Yunxiao Zhang (Defense Innovation Institute)*; Xiaochuan Zhang (Defense Innovation Institute); Tianlong Shen (Defense Innovation Institute); Yuan Zhou (Artificial Intelligence Research Center, DII); Zhiyuan Wang (Defense Innovation Institute)
    
    
17. An Overview on Supervised Semi-structured Data Classification
    Lijun Zhang (Northwestern Polytechnical University)*; Ning Li (Northwestern Polytechnical University); Zhanhuai Li (Northwestern Polytechnical University)
    
    
18. Decoupling Autoencoders for Robust One-vs-Rest Classification
    Max Lübbering (Fraunhofer IAIS)*; Michael Gebauer (TU Berlin); Rajkumar Ramamurthy (Fraunhofer IAIS); Christian Bauckhage (Fraunhofer IAIS); Rafet Sifa (Fraunhofer IAIS)
    
    
19. Sequential Dependency Enhanced Graph Neural Network for Session-based Recommendation
    Wei Guo (Qilu University of Technology (Shandong Academy of Sciences) ); Shoujin Wang (RMIT University); Wenpeng Lu (Qilu University of Technology (Shandong Academy of Sciences))*; Hao Wu (Beijing Institute of Technology); Qian Zhang (Qilu University of Technology (Shandong Academy of Sciences) ); Zhufeng Shao (Qilu University of Technology (Shandong Academy of Sciences))
    
    
20. XPROAX-Local explanations for text classification with progressive neighborhood approximation
    Yi Cai (L3S Research Center, Leibniz Universität Hannover)*; Arthur Zimek (University of Southern Denmark); Eirini Ntoutsi (Freie Universität Berlin)
    
    
21. Adversarially Generating Rank-Constrained Graphs William L Shiao (University of California, Riverside)*; Evangelos Papalexakis (UC Riverside)
    
    
22. Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning
    Sofia Oliveira (INESC TEC/University of Porto)*; Alipio M.G. Jorge (INESC TEC / University of Porto); Daniel Loureiro (INESC TEC / University of Porto)
    
    
23. DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing
    Alex Watson (University of New Brunswick); Suvam Kumar Das (University of New Brunswick)*; Suprio Ray (University of New Brunswick)
    
    
24. PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme
    Anirban Mondal (Ashoka University); Raghav Mittal (Ashoka University); Vrinda Khandelwal (Ashoka University); PARUL CHAUDHARY (SHIV NADAR UNIVERSITY)*; Krishna Reddy P (International Institute of Information Technology, Hyderabad)
    
    
25. Centrality-based Interpretability Measures for Graph Embeddings
    Shima Khoshraftar (York University)*; Sedigheh Mahdavi (Amazon); Aijun An (York University)
    
    
26. Active Learning for Imbalanced Domains: the ALOD and ALOD-RE algorithms
    Mayukh Bhattacharjee (University of Engineering Management); Hema Sri Kambhampati (University of Ottawa); Paula Branco (University of Ottawa)*; Luis Torgo (Dalhousie University)
    
    
27. Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting
    Amal Saadallah (TU Dortmund)*; Katharina J. Morik (TU Dortmund)

1. DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
   Md. Rezaul Karim (Fraunhofer FIT)*; Sumon Kanti Dey (Noakhali Science and Technology university); Tanhim Islam (RWTH Aachen University); Sagor Sarker (Begum Rokeya University); Md. Mehadi Hasan (Begum Rokeya University); Kabir Hossain (The University of Alabama); Md. Azam Hossain (Kyungdong University); Stefan Decker (RWTH Aachen University)
   
   
2. The use of machine learning to identify the correctness of HS Code for the customs import declarations
   Hao Chen (IBM)*; Hao Chen (IBM)
   
   
3. Hybrid Recommender System for Detection of Rare Cases Applied to Pulsar Candidate Selection
   Di Pang (West Virginia University); Katerina Goseva-Popstojanova (West Virginia University)*; Maura McLaughlin (West Virginia University)
   
   
4. Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus
   Clara R. T. Puga (Otto von Guericke University Magdeburg)*; Uli Niemann (Otto von Guericke University Magdeburg); Vishnu Unnikrishnan (Otto-von-Guericke University Magdeburg); Miro Schleicher (Otto-von-Guericke University Magdeburg); Winfried Schlee (University of Regensburg); Myra Spiliopoulou (Otto-von-Guericke-University Magdeburg)
   
   
5. Analyzing Cultural Assimilation through the Lens of Yelp Restaurant Reviews
   Zaiqian Chen (University of Richmond); Joonsuk Park (University of Richmond)*
   
   
6. A Framework for Statistically-Sound CustomerSegment Search
   Sihem Amer-Yahia (CNRS)*; Laure Berti-Equille (IRD); Abdelouahab Chibah (CNRS, Univ. Grenoble Alpes)
   
   
7. Machine Learning Model for Frailty Detection using Electric Power Consumption Data from Smart Meter
   Kijun Kim (The University of Tokyo)*; Shimpei Ohsugi (The University of Tokyo); Noboru Koshizuka (The University of Tokyo )
   
   
8. A Personalized Overdraft Protection Framework
   Karesia Ramlal (University of the West Indies)*; Patrick Hosein (University of the West Indies)
   
   
9. 3M-Transformers for Event Coding on Organized Crime Domain
   Erick Skorupa Parolin (University of Texas at Dallas)*; Latifur Khan (The university of Texas at Dallas); Javier Osorio (University of Arizona); Patrick Brandt (University of Texas at Dallas); Vito D'Orazio (University of Texas at Dallas); Jennifer Holmes (University of Texas at Dallas)
   
   
10. Towards optimized actions in critical situations of soccer games with deep reinforcement learning
    Pegah Rahimian (Budapest University of Technology and Economics)*; Afshin Oroojlooy (SAS Institute); Laszlo Toka (BME)
    
    
11. Two-Phase Multi-armed Bandit for Online Recommendation
    Cairong Yan (Donghua University)*; Han HaiXia (DHU); Zijian Wang (Donghua University); Yanting Zhang (Donghua University)
    
    
12. Learning Fashion Similarity Based on Hierarchical Attribute Embedding
    Cairong Yan (Donghua University)*; 安 丁 (donghua university); Yanting Zhang (Donghua University); Zijian Wang (Donghua University)
    
    
13. V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
    Siddhartha Shankar Das (Purdue University)*; Edoardo Serra (Boise State University); Mahantesh Halappanavar (Pacific Northwest National Laboratory); Alex Pothen (Purdue University); Ehab Al-Shaer (Carnegie Mellon University)
    
    
14. Soft-Churn: Optimal Switching between Prepaid Data Subscriptions on E-SIM support Smartphones
    Patrick Hosein (University of the West Indies)*; Gabriela Z Sewdhan (TTLAB); Aviel Jailal (TSTT)
    
    
15. Classification of Space Particle Events using Supervised Machine Learning Algorithms
    Rijad Saric (La Trobe University)*; Junchao Chen (IHP); Milos Krstic (Nil); Edhem Custovic (La Trobe University); Jasmin - Kevric (University); Dejan - Jokic (University)
    
    
16. A generic framework for forecasting short-term traffic conditions on urban highways
    SEIF EDDINE ATTOUI (IRT SystemX)*; MAROUA MEDDEB (IRT SystemX)
    
    
17. Leveraging Latent Economic Concepts and Sentiments in the News for Market Prediction
    Saeede Anbaee Farimani (Islamic Azad University); Majid Vafaei Jahan (Islamic Azad University ); Amin Milani Fard (New York Institute of Technology )*; Reza Haffari (Monash University, Australia)
    
    
18. Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis
    Safa Boudabous (Telecom Paris)*; Stephan Clémençon (Télécom Paris); Houda Labiod (Télécom paris )

Special Session: Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks

1 - A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data
Alessia Galdeman (University of Milan), Cheick Ba (University of Milan), Matteo Zignani (Università degli Studi di Milano), Sabrina Gaito (University of Milan)

Special Session: Data Science and Advanced Analytics for Smart & Connected Communities

1 - Source detection on networks using spatial temporal graph convolutional networks
Hao Sha (Indiana University Purdue University Indianapolis), Mohammad Al Hasan (IUPUI), George Mohler

Special Session: XPdM 2021 - Data-Driven Predictive Maintenance for Industry 4.0

1 - Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry
Narjes Davari (INESC TEC), Joao Gama (FEP & INESC TEC), Rita Ribeiro (FCUP & INESC TEC), Pedro  Pereira (INESC TEC), Bruno Veloso (Universidade Portucalense & FEP & INESC TEC)

2 - Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
Youcef Remil (Infologic-INSA Lyon), Anes Bendimerad (Infologic), Marc Plantevit (Universit̩é de Lyon, France), Céline Robardet (), Mehdi Kaytoue (Infologic)

3 - Efficient Modeling of Digital Shadows for Production Processes: A Case Study for Quality Prediction in High Pressure Die Casting Processes
Arnab Chakrabarti (RWTH AACHEN UNIVERSITY), Ravi Prasanna Sukumar (RWTH achen University), Matthias Jarke (RWTH Aachen University), Maximilian Rudack (RWTH Aachen University), Paul Buske (RWTH Aachen University), Carlo Holly (RWTH Aachen University)

4 - Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses
Mohammed Ghaith Altarabichi (Halmstad University), Yuantao Fan (Halmstad University), Sepideh Pashami (Halmstad University), Peyman Mashhadi (Halmstad University), Slawomir Nowaczyk (Halmstad University)

5 - Explainable anomaly detection for Hot-rolling industrial process
Jakub Jakubowski (AGH University of Science and Technology,), Przemysław Stanisz (Arcelor Mittal Poland), Szymon Bobek (Jagiellonian University), Grzegorz Nalepa (Jagiellonian University)

6 - Predicting hybrid vehicles' fuel and electric consumption using multitask learning
Peyman Mashhadi (Halmstad University), Shankara Narayanan Bangalore Ramalingam (Halmstad University), Venkata Sai Vivek Uddagiri (), Mahmoud Rahat (Halmstad University)


Special Session: Tensor Analytics for Emerging Applications

1 - Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series
Kiyotaka Matsue (National Institute of Informatics), Mahito Sugiyama (National Institute of Informatics)

2 - A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors"
Noorali Raeeji Yaneh Sari (Halmstad University), Hadi Fanaee-T (Halmstad University), Mahmoud Rahat (Halmstad University)

Special Session: PRAXAI - Practical applications of explainable artificial intelligence methods

1 - Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data
Leonid Schwenke (Osnabrück University), Martin Atzmueller (Osnabrück University)

2 - Explainable clustering with multidimensional bounding boxes
Michał Kuk (AGH University of Science and Technology), Szymon Bobek (Jagiellonian University), Grzegorz Nalepa (Jagiellonian University)

3 - Explainable artificial intelligence for data science on customer churn
Carson K. Leung (University of Manitoba), Joglas D.N. Souza (University of Manitoba), Adam Pazdor (University of Manitoba)

4 - Explaining Multimodal Errors in Autonomous Vehicles
Leilani H Gilpin (MIT), Vishnu Penubarthi (Massachusetts Institute of Technology), Lalana Kagal (MIT CSAIL)

Special Session: EnGeoData: Environmental and Geo-spatial Data Analytics

1 - Surveillance of airborne plant disease dissemination at continental scale using air mass trajectory analysis and network theory
Andrea Radici (INRAE), Davide Martinetti (INRAE), Daniele Bevacqua (INRAE)

2 - Parallel Multi-Graph Convolution Network For  Metro Ridership Prediction
Fuchen Gao (East China University of Science and Technology), Zhanquan Wang (East China University of Science and Technology), Zhenguang Liu (Zhejiang University)

3 - On the Use of Class Activation Maps in Remote Sensing: the case of Illegal Landfills
Rocio Nahime Torres (Politecnico di Milano), Piero  Fraternali (Informazione e Bioingegneria), Andrea Biscontini (Politecnico di Milano)

4 - A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter
Luis  E Colchado (Universidad Católica San Pablo), Edwin Villanueva Talavera (Pontificia Universidad Católica del Perú), José Eduardo Ochoa Luna (San Pablo Catholic University)

Special Session: Data Science in Health

1 - Towards Treatment Patterns Validation in Lung Cancer Patients
Guillermo Vigueras (Universidad Politécnica de Madrid), Arturo Redondo (Universidad Politécnica de Madrid), Belén Ríos (Universidad Politécnica de Madrid), Belén Otero (Universidad Politécnica de Madrid), Roberto Hernández (Hospital Universitario Puerta de Hierro), María Torrente (Hospital Universitario Puerta de Hierro), Ernestina Menasalvas (UNIVERSIDAD POLITECNICA DE MADRID), Mariano Provencio (Hospital Universitario Puerta de Hierro), Alejandro Rodriguez (University of Madrid, Spain)

2 - Extracting Cancer Treatments from Clinical Text written in Spanish: A Deep Learning Approach
OSWALDO SOLARTE (UNIVERSIDAD POLITECNICA DE MADRID), Ernestina Menasalvas (UNIVERSIDAD POLITECNICA DE MADRID), Alejandro Rodriguez (University of Madrid, Spain), MARIA  TORRENTE (Hospital Universitario Puerta de Hierro), MARIANO PROVENCIO (Hospital Universitario Puerta de Hierro), ALBERTO BLAZQUEZ (UNIVERSIDAD POLITECNICA DE MADRID)

3 - Interpretable Prediction of Diabetes from Tabular Health Screening Records Using an Attentional Neural Network
Yuki OBA (University of Tsukuba), Taro TEZUKA (University of Tsukuba), Masaru SANUKI (University of Tsukuba), Yukiko WAGATSUMA (University of Tsukuba)