| 2023 | 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023 |
| 2023 | 1NN-DTW ARIMA LSTM: A new ensemble for forecasting multi-domain/multi-context time series. Hadi Fanaee-T |
| 2023 | A CNN-Transformer Hybrid Network for Multi-scale object detection. Jianhong Wu, Yingdong Ma |
| 2023 | A Contextualized Transformer-Based Method for Cyberbullying Detection. Nabi Rezvani, Amin Beheshti, Xuyun Zhang |
| 2023 | A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak |
| 2023 | A Data-driven Approach for Risk Exposure Analysis in Enterprise Security. Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro |
| 2023 | A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau |
| 2023 | A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du |
| 2023 | A Novel Method for Temporal Graph Classification based on Transitive Reduction. Carolina Stephanie Jerônimo de Almeida, Zenilton K. G. do Patrocínio, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Guillaume Gravier |
| 2023 | A Text-based Approach For Link Prediction on Wikipedia Articles. Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu |
| 2023 | AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting. Yang Lin |
| 2023 | Achieving High Performance in Link Prediction for Wikipedia Articles Using Ensemble Approach. Weiwu Yang |
| 2023 | AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. João Victor Galvão da Mata, Martin S. Andersen |
| 2023 | Adaptive Clustered Federated Learning with Representation Similarity. Chiyu Cai, Wei Wang, Yuan Jiang |
| 2023 | Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. Yaping Zhao, Qunsong Zeng, Edmund Y. Lam |
| 2023 | All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala |
| 2023 | Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. Zhikun Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim, Laura Wynter |
| 2023 | Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets. Friedemann Schwenkreis |
| 2023 | CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents. Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou, Rafiqul Haque |
| 2023 | CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant |
| 2023 | Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu |
| 2023 | Classification with Explanation for Human Trafficking Networks. David Ing, Fabien Delorme, Saïd Jabbour, Nelly Robin, Lakhdar Sais |
| 2023 | Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. Grzegorz Dudek |
| 2023 | Contextual Advertising Strategy Generation via Attention and Interaction Guidance. Issam Benamara, Emmanuel Viennet |
| 2023 | Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System. Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul, Dominique Ginhac |
| 2023 | Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. Veronica Guidetti, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Jole Burastero, Davide Ferrari, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini, Federica Mandreoli |
| 2023 | Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. Yang Yang, Zhilin Zhao, Longbing Cao |
| 2023 | Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | Designing Concept Drift Detection Ensembles: A Survey. Martin Trat, Jivka Ovtcharova |
| 2023 | Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. Soudabeh Taghian Dinani, Doina Caragea |
| 2023 | DynamiSE: Dynamic Signed Network Embedding for Link Prediction. Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang |
| 2023 | ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services. Raphaelle Akhras, Wassim El-Hajj, Hazem M. Hajj, Khaled B. Shaban, Rabih Jaber |
| 2023 | Electricity Price Forecasting based on Order Books: a differentiable optimization approach. Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet |
| 2023 | Emotion-based Dynamic Difficulty Adjustment in Video Games. Krzysztof Kutt, Lukasz Sciga, Grzegorz J. Nalepa |
| 2023 | Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection. Youcef Djenouri, Ahmed Nabil Belbachir |
| 2023 | Enhanced Edge Prediction, a case study: predicting links in Wikipedia sites. Apostolos Giannoulidis, Ioannis Mavroudopoulos |
| 2023 | Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller |
| 2023 | Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit. Jiaxing Jason Mai, Carson K. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor |
| 2023 | Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients. Youxingzhu Deng, Yipeng Zhou, Gang Liu, Jessie Hui Wang, Shui Yu |
| 2023 | Enhancing recommendation systems with hybrid manifold regularized knowledge graph. Giang Ngo, Nhi N. Y. Vo |
| 2023 | Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi |
| 2023 | Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li |
| 2023 | Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses. Etienne Vareille, Adel Abbas, Michele Linardi, Vassilis Christophides |
| 2023 | EvoAlign: A Continual Learning Framework for Aligning Evolving Networks. Shruti Saxena, Joydeep Chandra |
| 2023 | Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin |
| 2023 | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. Kuan Yan, Junbin Gao, Dmytro Matsypura |
| 2023 | Finite-Sample Bounds for Two-Distribution Hypothesis Tests. Cynthia Hom, William Yik, George D. Montañez |
| 2023 | GS Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2023 | Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint. Yaoze Liu, Junwei Du, Haojie Li, Guanfeng Liu |
| 2023 | HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad |
| 2023 | Hybrid Approaches to Optimization and Machine Learning Methods. Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira |
| 2023 | HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. Witold Wydmanski, Oleksii Bulenok, Marek Smieja |
| 2023 | Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller |
| 2023 | ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation. Wan-Jhen Wu, Shiou-Chi Li, Jen-Wei Huang |
| 2023 | Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis. Youssef Oubelmouh, Frédéric Fargon, Cyril De Runz, Arnaud Soulet, Cyril Veillon |
| 2023 | Incremental Targeted Mining in Sequences. Kaixia Hu, Wensheng Gan, Gengsen Huang, Guoting Chen, Jerry Chun-Wei Lin |
| 2023 | Instils Trust in Random Forest Predictions. Gopal Singh Jamnal |
| 2023 | Interpretability Methods for Graph Neural Networks. Arijit Khan, Ehsan Bonabi Mobaraki |
| 2023 | Interpretable time series neural representation for classification purposes. Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue |
| 2023 | Interpreting Black-box Machine Learning Models for High Dimensional Datasets. Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker |
| 2023 | JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning. Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee |
| 2023 | Knowledge Enhanced Graph Neural Networks. Luisa Werner, Nabil Layaïda, Pierre Genevès, Sarah Chlyah |
| 2023 | Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam |
| 2023 | LITE: Light Inception with boosTing tEchniques for Time Series Classification. Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier |
| 2023 | LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications. Arshveer Kaur, Poonam Goyal, Navneet Goyal |
| 2023 | Learning Representations through Contrastive Strategies for a more Robust Stance Detection. Udhaya Kumar Rajendran, Amir Ben Khalifa, Amine Trabelsi |
| 2023 | Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro |
| 2023 | Lightweight Graph Convolutional Collaborative Filtering Recommendation Approach Incorporating Social Relationships. Xiangfu Meng, Hongjin Huo, Xiaoyan Zhang, Wanchun Wang |
| 2023 | Link Prediction for Wikipedia Articles as a Natural Language Inference Task. Chau-Thang Phan, Quoc-Nam Nguyen, Kiet Van Nguyen |
| 2023 | Link Prediction on Graphs Using NLP Embedding. João Victor Galvão da Mata, Martin S. Andersen |
| 2023 | Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption. Isaac Manring, James H. Hill, George O. Mohler, P. Jeffrey Brantingham, Thomas Williams, Bruce White |
| 2023 | MAT: Effective Link Prediction via Mutual Attention Transformer. Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen |
| 2023 | MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference. Christina Karagianni, Eva Paraschou, Sofia Yfantidou, Athena Vakali |
| 2023 | Machine Learning-Based Android Malware Detection. David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk |
| 2023 | Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen |
| 2023 | Model Stitching Algorithm for Fake News Detection Problem. Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras |
| 2023 | Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti |
| 2023 | Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation. Pei-Chang Chen, Hao-Shang Ma, Jen-Wei Huang |
| 2023 | Non-Redundant Image Clustering of Early Medieval Glass Beads. Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant |
| 2023 | Novel few-shot learning based fuzzy feature detection algorithms. Yun Luo, Liangfu Lu, Xudong Cui, Yan Du, Yingying Bi, Limin Zhu, Christy Jie Liang |
| 2023 | ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou |
| 2023 | Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems. Mahammad Shareef Mekala, Eyad Elyan, Gautam Srivastava |
| 2023 | On the Independence of Adversarial Transferability to Topological Changes in the Dataset. Carina Newen, Emmanuel Müller |
| 2023 | Online Explainable Model Selection for Time Series Forecasting. Amal Saadallah |
| 2023 | Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid |
| 2023 | Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures. Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon |
| 2023 | Organizational Resource Scheduling using Deep Reinforcement Learning. |
| 2023 | PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker. Wei Liang, Derui Ding, Hui Yu |
| 2023 | PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba |
| 2023 | Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid |
| 2023 | Predict Link Between Nodes Using An Ensemble Modelling Combining Depth Search Algorithm And Textual Similarity Score. Aditya Kansal, Rishabh Mehta |
| 2023 | Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka. Bozena Malysiak-Mrozek, Mario Bas, Vaidy S. Sunderam, Stanislaw Kozielski, Dariusz Mrozek |
| 2023 | Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano |
| 2023 | Price Prediction of Digital Currencies using Machine Learning. Ashutosh Dhar Dwivedi, Subhayu Dutta, Subhrangshu Adhikary, Jens Myrup Pedersen |
| 2023 | Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock |
| 2023 | Privacy-Preserving Learning via Data and Knowledge Distillation. Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang |
| 2023 | Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks. Saeed Alqubaisi, Deepak Puthal, Joy Dutta, Ernesto Damiani |
| 2023 | ProPML: Probability Partial Multi-label Learning. Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski |
| 2023 | Rapid and Scalable Bayesian AB Testing. Srivas Chennu, Andrew Maher, Christian Pangerl, Subash Prabanantham, Jae Hyeon Bae, Jamie Martin, Bud Goswami |
| 2023 | Recycling of generic ImageNet-trained models for smart-city applications. Katarzyna Filus, Joanna Domanska |
| 2023 | Sample Topology Exploration for Label Distribution Learning. Yan-Wen Xiong, Heng-Ru Zhang, Fan Min, Peng-Cheng Li |
| 2023 | ScaleFace: Uncertainty-aware Deep Metric Learning. Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov |
| 2023 | Searching images in a web archive. André Mourão, Daniel Gomes |
| 2023 | Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto |
| 2023 | Sliding Window Sampling over Data Stream - a Solution Based on Devil's Staircases. Dominik Bojko, Jacek Cichon, Miroslaw Kutylowski |
| 2023 | Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models. Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, Edmund Y. Lam |
| 2023 | Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation. Nourhan Ahmed, Lars Schmidt-Thieme |
| 2023 | Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting. Ruoxuan Zhu, Yi Qian, Hui Zheng, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng |
| 2023 | Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. Rongbo Yang, Qianmu Li, Shunmei Meng |
| 2023 | Supplier qualification document recognition through open-set recognition. Giuseppe Rizzo, Angelo Impedovo |
| 2023 | TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning. Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong |
| 2023 | Tackling Model Mismatch with Mixup Regulated Test-Time Training. Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo |
| 2023 | Temporal Differential Privacy for Human Activity Recognition. Debaditya Roy, Sarunas Girdzijauskas |
| 2023 | Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas |
| 2023 | To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri |
| 2023 | Toward a Realistic Benchmark for Out-of-Distribution Detection. Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra |
| 2023 | Towards Contiguous Sequences in Uncertain Data. Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu |
| 2023 | Towards Deep Learning Models for Automatic Computer Program Grading. Peter D. Nagy, Heidar Davoudi |
| 2023 | Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall |
| 2023 | Towards Handling Bias in Intelligence Analysis with Twitter. Alexandros Karakikes, Panagiotis Alexiadis, Theocharis Theocharopoulos, Nikolaos Skoulidas, Dimitrios Spiliotopoulos, Konstantinos Kotis |
| 2023 | Towards Quality Measures for xAI algorithms: Explanation Stability. Marek Pawlicki |
| 2023 | Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language. Maksim Koptelov, Margaux Holveck, Bruno Crémilleux, Justine Reynaud, Mathieu Roche, Maguelonne Teisseire |
| 2023 | Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen |
| 2023 | Underwater Localization based on Robust Privacy-Preserving and Intelligent Correction of Sound Velocity. Jingxiang Xu, Ying Guo, Ziqi Wang, Fei Li, Ke Geng |
| 2023 | Unfolding temporal networks through statistically significant graph evolution rules. Alessia Galdeman, Matteo Zignani, Sabrina Gaito |
| 2023 | Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data. Yash Gupta, Navneet Goyal, Vishal John Varghese, Poonam Goyal |
| 2023 | YOLO-based Object Detection in Panoramic Images of Smart Buildings. Sebastian Pokucinski, Dariusz Mrozek |
| 2023 | ZigBee Network for AGV Communication in Industrial Environments. Jaroslaw Flak, Tomasz Skowron, Rafal Cupek, Marcin Fojcik, Dariusz Caban, Adam Domanski |
| 2023 | slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. Chiara Balestra, Bin Li, Emmanuel Müller |