Accepted Papers



206 Etienne Vareille, Adel Abbas,   Michele Linardi and Vassilis Chrsitopides Evaluating Explanation Methods   of Multivariate Time Series Classification through Causal Lenses
248 Chiyu Cai, Wei Wang and Yuan   Jiang Adaptive Clustered Federated   Learning with Representation Similarity
1247 Yan-Wen Xiong, Heng-Ru Zhang,   Fan Min and Peng-Cheng Li Sample Topology Exploration for   Label Distribution Learning
1481 Grzegorz Dudek Combining Forecasts Using   Meta-Learning: A Comparative Study for Complex Seasonality
2090 Rezaur Rashid, Jawad Chowdhury   and Gabriel Terejanu Causal Feature Selection:   Methods and a Novel Causal Metric Evaluation Framework
2097 Udhaya Kumar Rajendran, Amine   Trabelsi and Amir Ben Khalifa Learning Representations through   Contrastive Strategies for a more Robust Stance Detection
2115 Łukasz Struski, Adam Pardyl,   Jacek Tabor and Bartosz Zieliński ProPML: Probability Partial   Multi-label Learning
2642 Yang Yang, Zhilin Zhao and   Longbing Cao Deep Spectral Copula Mechanisms   Modeling Coupled and Volatile Multivariate Time Series
2690 Bochao Zhang, Rui Shao, Jingda   Du, Pc Yuen and Wei Luo Tackling Model Mismatch with   Mixup Regulated Test-Time Training
3396 Martin Trat and Jivka   Ovtcharova Designing Concept Drift   Detection Ensembles: A Survey
3606 João Victor Galvão da Mata and   Martin Skovgaard Andersen AdaSub: Stochastic Optimization   Using Second-Order Information in Low-Dimensional Subspaces
3751 Pei-Chang Chen, Hao-Shang Ma   and Jen-Wei Huang Natural Language Inference by   Integrating Deep and Shallow Representations with Knowledge Distillation
3792 Dominik Bojko, Jacek Cichoń and   Mirosław Kutyłowski Sliding Window Sampling over   Data Stream — a Solution Based on Devil’s Staircases
3838 Srivas Chennu, Andrew Maher,   Christian Pangerl, Subash Prabanantham, Jae Hyeon Bae, Jamie Martin and Bud   Goswami Rapid and Scalable Bayesian AB   Testing
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
5538 Etienne Le Naour, Ghislain   Agoua, Nicolas Baskiotis and Vincent Guigue Interpretable Time Series   Representation for Classification Purposes
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
5858 Prasad Calyam, Xiyao Cheng,   Yuanxun Zhang, Harsh Joshi and Mayank Kejriwal Knowledge Graph-based Embedding   for Connecting Scholars in Academic Social Networks
5980 Pietro Recalcati, Fabio Garcea,   Luca Piano, Fabrizio Lamberti and Lia Morra Toward a Realistic Benchmark for   Out-of-Distribution Detection
6363 Luisa Werner, Nabil Layaïda,   Pierre Genevès and Sarah Chlyah Knowledge Enhanced Graph Neural   Networks for Graph Completion
6478 Yang Lin Adversarial Mutual Learning   Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting
7006 Cynthia Hom, William Yik and   George Montanez Finite-Sample Bounds for   Two-Distribution Hypothesis Tests
7888 Lihi Idan Organizational Resource   Scheduling Using Deep Reinforcement Learning
8123 Xiangfu Meng, Hongjin Huo,   Xiaoyan Zhang and Wanchun Wang Lightweight Graph Convolutional   Collaborative Filtering Recommendation Approach Incorporating Social   Relationships
8708 Chiara Balestra, Bin Li and   Emmanuel Müller slidSHAPs – sliding Shapley   Values for correlation-based change detection in time series
8794 Arshveer Kaur, Poonam Goyal and   Navneet Goyal LSFuseNet: Dual-Fusion of   Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant   Applications
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
9675 Pascal Weber, Lukas Miklautz,   Akshey Kumar, Claudia Plant and Moritz Grosse-Wentrup CaFe DBSCAN: A Density-based   Clustering Algorithm for Causal Feature Learning
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.
9826 Carina Newen and Emmanuel   Müller On the Independence of   Adversarial Transferability to Topological Changes
9848 Carolina Jeronimo, Zenilton   Patrocínio Jr., Simon Malinowski, Guillaume Gravier and Silvio Guimaraes A Novel Method for Temporal   Graph Classification Based on Transitive Reduction


281 Fabien Delorme, David Ing, Said   Jabbour, Nelly Robin and Lakhdar Sais Classification with Explanation   for Human Trafficking Networks Detection
295 Léonard Tschora, Tias Guns,   Erwan Pierre, Marc Plantevit and Celine Robardet Electricity Price Forecasting   Based on Order Books: A Differentiable Optimization Approach
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
898 Issam Benamara and Emmanuel   Viennet Contextual Advertising Strategy   Generation via Attention and Interaction Guidance
975 Soudabeh Taghian Dinani and   Doina Caragea Disaster Image Classification   Using Pre-trained Transformer and Contrastive Learning Models
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
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
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
1828 Jiaxi Li, Guansong Pang, Ling   Chen and Mohammad-Reza Namazi-Rad HRGCN: Heterogeneous Graph-level   Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks
3177 Christina Karagianni, Eva   Paraschou, Sofia Yfantidou and Athena Vakali MINDSET: A benchMarking suIte   exploring seNsing Data for SElf sTates inference
3306 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
3929 Errikos Streviniotis, Nikos   Giatrakos, Yannis Kotidis, Thalia Ntiniakou and Miguel Ponce de Leon Optimizing Resource Allocation   for Tumor Simulations over HPC Infrastructures
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
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
8711 Kuan Yan, Junbin Gao and Dmytro   Matsypura FIW-GNN: A Heterogeneous   Graph-Based Learning Model for Credit Card Fraud Detection
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


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

SPECIAL SESSION : Emerging Problems in Disinformation (DISA)

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

SPECIAL SESSION : Computational Imaging, Vision, Linguistics and Language (CIVIL)

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
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

SPECIAL SESSION : Graph Data Science and Applications (GraDSI)

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
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

SPECIAL SESSION : AI and Data Science for Cybersecurity (AISC)

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

SPECIAL SESSION : Data Science for Social and Behavioral Analytics (DSSBA)

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

SPECIAL SESSION : Learning from Temporal Data (LfTD)

321 Hadi Fanaee-T Time Series Forecasting in a   Multi-Domain/Multi-Context Setting: Surprising Performance of Multi-Domain   1NN-DTW in a Heterogeneous Ensemble Model
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

SPECIAL SESSION : Practical Applications of Explainable Artificial Intelligence Methods (PRAXAI)

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
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

SPECIAL SESSION : Private, Secure, and Trust Data Analytics (PSTDA)

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
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
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

SPECIAL SESSION: 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
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


8444 Arijit Khan and Ehsan Bonabi   Mobaraki Interpretability Methods for   Graph Neural Networks


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 DSAA 2023 Competition: A Text-based Approach For Link   Prediction on Wikipedia Articles
7288 João Victor Galvão da Mata and Martin Skovgaard Andersen DSAA 2023 Data Science Competition: 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


Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong and Zhang Xiong TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning
Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia and Haofen Wang DynamiSE: Dynamic Signed Network Embedding for Link Prediction
Songwen Pei Dynamic Pseudo-mean Mixed-precision Quantization for Pruned Neural Network
Wei Liang, Derui Ding and Hui Yu PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker
Beatriz Flamia Azevedo, Ana Maria A. C. Rocha and Ana I. Pereira Hybrid Approaches to Optimization and Machine Learning Methods: A Systematic Literature Review
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen and Dawei Yin GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice and Donato Malerba PANACEA: A Neural Model Ensemble for Cyber-Threat Detection
Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang and Zhennan Li Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate
Dunlu Peng A Sequence- and Graph-level Information Enhancement Network for Session-based Recommendation
ANourhan Ahmed and Lars Schmidt-Thieme Sparse self-attention guided generative adversarial networks for time-series generation
Sorvisto Dayne Applications of the discrete-time Fourier transform to data analysis
Mohanned Abduljabbar Hael Unbiased recursive decision tree for supervised functional data classification with applying on electrocardiogram signals
Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel and Martin Atzmueller Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection – An Exploratory Study