Accepted Papers

RESEARCH TRACK
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
APPLICATIONS TRACK
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
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
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
TUTORIAL
8444	Arijit Khan and Ehsan Bonabi Mobaraki	Interpretability Methods for Graph Neural Networks
COMPETETION
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
JOURNAL TRACK
	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

RESEARCH TRACK

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

APPLICATIONS TRACK

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

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

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

TUTORIAL

8444

Arijit Khan and Ehsan Bonabi Mobaraki

Interpretability Methods for Graph Neural Networks

COMPETETION

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

JOURNAL TRACK

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