| 3396 |
Martin Trat and Jivka Ovtcharova |
Designing Concept Drift Detection Ensembles: A Survey |
| 3792 |
Dominik Bojko, Jacek Cichoń and Mirosław Kutyłowski |
Sliding Window Sampling over Data Stream — A Solution Based on Devil’s Staircases |
| 8708 |
Chiara Balestra, Bin Li and Emmanuel Müller |
slidSHAPs – sliding Shapley Values for correlation-based change detection in time series |
| 9196 |
Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang and Zhenxiang Chen |
Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective |
Research 2: Advanced Classification Methods
|
| 206 |
Etienne Vareille, Adel Abbas, Michele Linardi and Vassilis Chrsitopides |
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses |
| 5538 |
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis and Vincent Guigue |
Interpretable Time Series representation for Classification Purposes |
| 8794 |
Arshveer Kaur, Poonam Goyal and Navneet Goyal |
LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications |
| 9848 |
Carolina Jeronimo, Zenilton Patrocínio Jr., Simon Malinowski, Guillaume Gravier and Silvio Guimaraes |
A Novel Method for Temporal Graph Classification Based on Transitive Reduction |
Research 3: Time Series and Forecasting
|
| 1481 |
Grzegorz Dudek |
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality |
| 2642 |
Yang Yang, Zhilin Zhao and Longbing Cao |
Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series |
| 5590 |
Ruoxuan Zhu, Yi Qian, Hui Zheng, Xing Wang, Junlan Feng, Lin Zhu and Chao Deng |
Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting |
| 6478 |
Yang Lin |
Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting |
Research 4: Knowledge Graphs and Graph Learning
|
| 5858 |
Prasad Calyam, Xiyao Cheng, Yuanxun Zhang, Harsh Joshi and Mayank Kejriwal |
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks |
| 6363 |
Luisa Werner, Nabil Layaïda, Pierre Genevès and Sarah Chlyah |
Knowledge Enhanced Graph Neural Networks for Graph Completion |
| 8123 |
Xiangfu Meng, Hongjin Huo, Xiaoyan Zhang and Wanchun Wang |
Lightweight Graph Convolutional Collaborative Filtering Recommendation Approach Incorporating Social Relationships |
| 9693 |
Sam Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim and Laura Wynter |
Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam |
Research 5: Feature and Label Learning
|
| 1247 |
Yan-Wen Xiong, Heng-Ru Zhang, Fan Min and Peng-Cheng Li |
Sample Topology Exploration for Label Distribution Learning |
| 2090 |
Rezaur Rashid, Jawad Chowdhury and Gabriel Terejanu |
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework |
| 2115 |
Łukasz Struski, Adam Pardyl, Jacek Tabor and Bartosz Zieliński |
ProPML: Probability Partial Multi-label Learning |
| 9675 |
Pascal Weber, Lukas Miklautz, Akshey Kumar, Claudia Plant and Moritz Grosse-Wentrup |
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning |
Research 6: Learning Methods and Theories
|
| 248 |
Chiyu Cai, Wei Wang and Yuan Jiang |
Adaptive Clustered Federated Learning with Representation Similarity |
| 2097 |
Udhaya Kumar Rajendran, Amine Trabelsi and Amir Ben Khalifa |
Learning Representations through Contrastive Strategies for a more Robust Stance Detection |
| 5980 |
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti and Lia Morra |
Toward a Realistic Benchmark for Out-of-Distribution Detection |
| 9826 |
Carina Newen and Emmanuel Müller |
On the Independence of Adversarial Transferability to Topological Changes |
Research 7: Optimization
|
| 3606 |
João Victor Galvão da Mata and Martin Skovgaard Andersen |
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces |
| 4003 |
Wan-Jhen Wu, Shiou-Chi Li and Jen-Wei Huang |
ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation |
| 5396 |
Witold Wydmański, Oleksii Bulenok and Marek Śmieja |
Unlocking Tabular Data Secrets with Hypernetworks |
| 7888 |
Lihi Idan |
Organizational Resource Scheduling using Deep Reinforcement Learning |
Research 8: Algorithms for Learning and Testing
|
| 2690 |
Bochao Zhang, Rui Shao, Jingda Du, Pc Yuen and Wei Luo |
Tackling Model Mismatch with Mixup Regulated Test-Time Training |
| 3751 |
Pei-Chang Chen, Hao-Shang Ma and Jen-Wei Huang |
Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation |
| 3838 |
Srivas Chennu, Andrew Maher, Christian Pangerl, Subash Prabanantham, Jae Hyeon Bae, Jamie Martin and Bud Goswami |
Rapid and Scalable Bayesian AB Testing |
| 7006 |
Cynthia Hom, William Yik and George Montanez |
Finite-Sample Bounds for Two-Distribution Hypothesis Tests |
Applications I: Business and Industry
|
| 295 |
Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit and Celine Robardet |
Electricity Price Forecasting Based on Order Books: A Differentiable Optimization Approach |
| 898 |
Issam Benamara and Emmanuel Viennet |
Contextual Advertising Strategy Generation via Attention and Interaction Guidance |
| 1828 |
Jiaxi Li, Guansong Pang, Ling Chen and Mohammad-Reza Namazi-Rad |
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph NeuralNetworks |
| 8711 |
Kuan Yan, Junbin Gao and Dmytro Matsypura |
FIW-GNN: A Heterogeneous Graph-based Learning Model for Credit Card Fraud Detection |
Applications II: Business and Education
|
| 4370 |
Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi and Hamid Karimi |
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning |
| 4596 |
Giuseppe Rizzo and Angelo Impedovo |
Supplier Qualification Document Recognition through Open-set Recognition |
| 6588 |
Youssef Oubelmouh, Frédéric Fargon, Cyril de Runz, Arnaud Soulet and Cyril Veillon |
Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis |
| 7001 |
Peter Nagy and Heidar Davoudi |
Towards Deep Learning Models for Automatic Computer Program Grading |
Applications III: Society and Human
|
| 281 |
Fabien Delorme, David Ing, Said Jabbour, Nelly Robin and Lakhdar Sais |
Classification with Explanation for Human Trafficking Networks Detection |
| 760 |
Maksim Koptelov, Margaux Holveck, Bruno Cremilleux, Justine Reynaud, Mathieu Roche and Maguelonne Teisseire |
Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language |
| 1069 |
Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati and Manuel Roveri |
To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health |
| 3177 |
Christina Karagianni, Eva Paraschou, Sofia Yfantidou and Athena Vakali |
MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference |
Applications IV: Science and Environment
|
| 975 |
Soudabeh Taghian Dinani and Doina Caragea |
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models |
| 1204 |
Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm and Claudia Plant |
Non-Redundant Image Clustering of Early Medieval Glass Beads |
| 3360 |
Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal Angryk and Berkay Aydin |
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations |
| 8193 |
Yash Gupta, Navneet Goyal, Vishal John Varghese and Poonam Goyal |
Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data |
Applications V: Medicine
|
| 1729 |
Fatoumata Dama, Christine Sinoquet and Corinne Lejus-Bourdeau |
A Framework for Context-Sensitive Prediction in Time Series – Feasibility Study for Data-Driven Simulation in Medicine |
| 3929 |
Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thalia Ntiniakou and Miguel Ponce de Leon |
Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures |
| 9626 |
Veronica Guidetti, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Burastero, Davide Ferrari, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini and Federica Mandreoli |
Death after Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction |
Industrial Track
|
| 1867 |
Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini and David Graurock |
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring |
| 3530 |
Jingwei Zuo, Wenbin Li, Michele Baldo and Hakim Hacid |
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks |
| 8613 |
Daniele Giampaoli, Francesca Cipollini, Denise Maffione and Luca Oneto |
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. |
| 9606 |
Georgios Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu and Hakim Hacid |
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge |
Tutorial
|
| 8444 |
Arijit Khan and Ehsan Bonabi Mobaraki |
Interpretability Methods for Graph Neural Networks |
PSTDA I: Private, Secure, and Trust Data Analytics
|
| 1142 |
Rongbo Yang, Qianmu Li and Shunmei Meng |
Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples |
| 1508 |
Yun Luo, Liangfu Lu, Xudong Cui, Yan Du, Yingying Bi, Limin Zhu and Christy Jie Liang |
Novel Few-shot Learning Based Fuzzy Feature Detection Algorithms |
| 2158 |
Nabi Rezvani, Amin Beheshti and Xuyun Zhang |
A Contextualized Transformer-Based Method for Cyberbullying Detection |
| 3116 |
Fahim Faisal, Carson K. Leung, Noman Mohammed and Yang Wang |
Privacy-Preserving Learning via Data and Knowledge Distillation |
PSTDA II: Private, Secure, and Trust Data Analytics
|
| 4064 |
Saeed Alqubaisi, Deepak Puthal, Joy Dutta and Ernesto Damiani |
Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks |
| 4174 |
Guowei Zhang, Xuyun Zhang, Zhiyong Wang and Amin Beheshti |
Multi-Granularity Entity Recognition Based Sentence Ranking for Multi-Document Summarization |
| 5078 |
Debaditya Roy and Sarunas Girdzijauskas |
Temporal Differential Privacy for Human Activity Recognition |
| 7586 |
Yaoze Liu, Junwei Du, Haojie Li and Guanfeng Liu |
Graph Disentangled Collaborative Filtering Based on Multi-order Similarity Constraint |
PSTDA III: Private, Secure, and Trust Data Analytics
|
| 7732 |
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen and Victor Sheng |
Defend the Graph Reconstruction Attacks for Simplicial Neural Networks |
| 8804 |
Jingxiang Xu, Ying Guo, Ziqi Wang, Fei Li and Ke Geng |
Underwater Localization Based on Robust Privacy-preserving and Intelligent Correction of Sound Velocity |
| 8877 |
Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma and Anan Du |
A Multimodal Adversarial Database: Towards a Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images |
| 9272 |
Deng Youxingzhu, Zhou Yipeng, Liu Gang, Hui Wang and Shui Yu |
Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients |
AISC: AI and Data Science for Cybersecurity
|
| 798 |
Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou and Rafiqul Haque |
CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents |
| 1302 |
Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul and Dominique Ginhac |
Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System |
| 1495 |
Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz and Jordi Guijarro |
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security |
| 8072 |
Mohammed Alqadhi, Ali Alkinoon, Saeed Salem and David Mohaisen |
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure |
| 9614 |
Raphaelle Akhras, Wassim El-Hajj, Hazem Hajj, Khaled Shaban and Rabih Jabr |
ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services |
Student Competition
|
| 200 |
Van Quan Nguyen, Quang Huy Pham, Quang Dan Tran, Kien Bao Thang Nguyen and Hieu Nghia Nguyen |
MAT: Effective Link Prediction via Mutual Attention Transformer |
| 2971 |
Apostolos Giannoulidis and Ioannis Mavroudopoulos |
Enhanced Edge Prediction, A Case Study: Predicting Links in Wikipedia Sites |
| 4465 |
Chau Thang Phan, Quoc-Nam Nguyen and Kiet Nguyen |
Link Prediction for Wikipedia Articles as a Natural Language Inference Task |
| 4849 |
Anh Tran, Tam Nguyen and Son Luu |
A Text-based Approach For Link Prediction on Wikipedia Articles |
| 7288 |
João Victor Galvão da Mata and Martin Skovgaard Andersen |
Link Prediction on Graphs Using NLP Embedding |
| 7660 |
Aditya Kansal and Rishabh Mehta |
DSAA 2023 Competition – Link Prediction |
| 8250 |
Weiwu Yang |
Achieving High Performance in Link Prediction for Wikipedia Articles Using Ensemble Approach |
PRAXAI I: Practical Applications of Explainable Artificial Intelligence Methods
|
| 2146 |
Hamid Sarmadi, Thorsteinn Rögnvaldsson, Mattias Ohlsson, Nils Roger Carlsson, Ibrahim Wahab and Ola Hall |
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks |
| 2702 |
Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas and Grigorios Tsoumakas |
Text Classification is Keyphrase Explainable! Exploring Local interpretability of Transformer Models with Keyphrase Extraction |
| 4701 |
Md. Rezaul Karim, Md. Shajalal, Alex Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks and Stefan Decker |
Interpreting Black-box Models for High Dimensional Datasets |
| 7159 |
Maciej Szelążek, Daniel Hudson, Szymon Bobek, Grzegorz J. Nalepa and Martin Atzmueller |
Enhanced Explanations for Knowledge-Augmented Clustering Using Subgroup Discovery |
PRAXAI II: Practical Applications of Explainable Artificial Intelligence Methods
|
| 8136 |
Marek Pawlicki |
Towards Quality Measures for xAI algorithms: Explanation Stability |
| 9745 |
Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren and Panagiotis Papapetrou |
ORANGE: Opposite label soRting for tANGent Explanations in heterogeneous spaces |
| 9945 |
Gopal Jamnal and Gopal Jamnal |
Instils Trust in Random Forest Predictions |
DISA: Emerging Problems in Disinformation
|
| 462 |
Carson Leung |
Machine Learning-Based Android Malware Detection |
| 2017 |
Rafał Kozik, Aleksandra Pawlicka, Marek Pawlicki and Michal Choras |
Model Stitching Algorithm for Fake News Detection Problem |
| 2937 |
Alexandros Karakikes, Panagiotis Alexiadis, Theocharis Theocharopoulos, Nikolaos Skoulidas, Dimitris Spiliotopoulos and Konstantinos Kotis |
Towards Handling Bias in Intelligence Analysis with Twitter |
| 3071 |
Sebastián Basterrech, Andrzej Kasprzak, Jan Platos and Michal Wozniak |
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection |
| 9929 |
Rafał Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki and Michal Choras |
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models |
CIVIL I: Computational Imaging, Vision, Linguistics and Language
|
| 672 |
Yaping Zhao, Qunsong Zeng and Edmund Lam |
Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction |
| 996 |
Jianhong Wu and Yingdong Ma |
A CNN-Transformer Hybrid Network for Multi-scale object detection |
| 1283 |
André Mourão and Daniel Gomes |
Searching Images in a Web Archive |
| 1348 |
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev and Maxim Panov |
ScaleFace: Uncertainty-aware Deep Metric Learning |
CIVIL II: Computational Imaging, Vision, Linguistics and Language
|
| 1562 |
Sebastian Pokuciński and Dariusz Mrozek |
YOLO-based Object Detection in Panoramic Images of Smart Buildings |
| 5198 |
Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang and Edmund Lam |
Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models |
| 6603 |
Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel and Varun Uppala |
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration |
SmartCities I: Smart City Data Analytics
|
| 385 |
Youcef Djenouri and Nabil Belbachir |
Federated Deep Learning for Managing Zero-Touch Networks in Smart City |
| 1492 |
Katarzyna Filus and Joanna Domanska |
Recycling of Generic ImageNet-trained Models for Smart-city Applications |
| 3267 |
Kaixia Hu, Wensheng Gan, Gengsen Huang, Guoting Chen and Jerry Chun-Wei Lin |
Incremental Targeted Mining in Sequences |
| 4552 |
Ashutosh Dhar Dwivedi, Subhrangshu Adhikary, Subhayu Dutta and Jens Myrup Pedersen |
Price Prediction of Digital Currencies Using Machine Learning |
| 4851 |
Jarosław Flak, Tomasz Skowron, Rafał Cupek, Marcin Fojcik, Dariusz Caban and Adam Domański |
ZigBee Network for AGV Communication in Industrial Environments |
SmartCities II: Smart City Data Analytics
|
| 5611 |
Friedemann Schwenkreis |
Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets |
| 7272 |
M S Mekala, Elyad Eyad and Gm Srivastava |
Object-aware Multi-criteria Decision-Making Approach Using Heuristic data-driven Theory for Intelligent Transportation Systems |
| 7395 |
Bozena Malysiak-Mrozek, Stanisław Kozielski and Dariusz Mrozek |
Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka |
| 9316 |
Isaac Manring, James Hill, Paul Brantingham, George Mohler, Thomas Williams and Bruce White |
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption |
GraDSI I: Graph Data Science and Applications
|
| 1414 |
Michiharu Yamashita, Jia Tracy Shen, Hamoon Ekhtiari, Thanh Tran and Dongwon Lee |
Data Scientist vs. Machine Learning Engineer: Nomalizing Job Titles with Multi-Aspect Embeddings and Reasoning |
| 3417 |
Alessia Galdeman, Tommaso Locatelli, Matteo Zignani and Sabrina Gaito |
Unfolding Temporal Networks through Statistically Significant Graph Evolution Rules |
| 3687 |
Bishal Lakha, Jason Duran, Edoardo Serra and Francesca Spezzano |
Prediction of Future Nation-initiated Cyber Attacks from News-based Political Event Graph |
GraDSI II: Graph Data Science and Applications
|
| 4602 |
Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik and Douglas Teodoro |
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data |
| 4974 |
Giang Ngo and Nhi Vo |
Enhancing Recommendation Systems with Hybrid Manifold Regularized Knowledge Graph |
| 9399 |
Shruti Saxena and Joydeep Chandra |
EvoAlign: A Continual Learning Framework for Aligning Evolving Networks |
DSSBA: Data Science for Social and Behavioral Analytics
|
| 5040 |
Carson Leung |
Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit |
| 6124 |
Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng and Philip S. Yu |
Towards Contiguous Sequences in Uncertain Data |
| 7645 |
Krzysztof Kutt, Łukasz Ściga and Grzegorz J. Nalepa |
Emotion-based Dynamic Difficulty Adjustment in Video Games |
LfTD: Learning from Temporal Data
|
| 321 |
Hadi Fanaee-T |
1NN-DTW ARIMA LSTM: A New Ensemble for Forecasting Multi-domain/Multi-context Time Series |
| 4830 |
Amal Saadallah |
Online Explainable Model Selection for Time Series Forecasting |
| 7611 |
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber and Germain Forestier |
LITE: Light Inception with boosTing tEchniques for Time Series Classification |
