| 2025 | 12th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2025, Birmingham, United Kingdom, October 9-12, 2025 |
| 2025 | 3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling. Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Polap |
| 2025 | A Comparative Study of Non-Linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks. Linxiang Li, Kainan Liu, Xiaojun Ban, Shengkun Xie |
| 2025 | A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores. Leonid Schwenke, Martin Atzmueller |
| 2025 | A New Framework for Causal Inference Without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation. Kohei Horinouchi, Shimpei Onishi, Toshiyasu Matsushima |
| 2025 | A Survey on Current Trends and Recent Advances in Text Anonymization. Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa |
| 2025 | A discrete-time deep learning framework for temporal heterogeneous networks forecasting. Manuel Dileo, Matteo Zignani, Sabrina Gaito |
| 2025 | ADT++: Advanced Adversarial Distributional Training with Class-Wise Robustness. Samer Y. Khamaiseh, Deirdre Jost, Anas M. R. Alsobeh, Abdullah S. Al-Alaj, Honglu Jiang |
| 2025 | Abstention is all you need. Erik Schönwälder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner |
| 2025 | An Event Study Framework for Analyzing Bidirectional Causality Between House Prices and Premium Café Entry. Sachin Date |
| 2025 | Anomaly Detection Under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring. Stefano Donné, Jesse Davis, Filip Van Utterbeeck, Mathias Verbeke |
| 2025 | Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks. Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak |
| 2025 | Auto-CEn: AutoML for Classifier Ensembles - Diversity-Based Classifier Selection and Decision Fusion Optimization. Julius Voggesberger, Peter Reimann, Dennis Treder-Tschechlov, Bernhard Mitschang |
| 2025 | Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries. Aurélien Renault, Dominique Gay, Noureddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu |
| 2025 | Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification. Hanif Rasyidi, Moshiur Farazi |
| 2025 | CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects. Maike Holtkemper, Christian Beecks |
| 2025 | CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification. Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification. Michael Schladt, John Gallagher |
| 2025 | Cybersecurity Recommendations for Planning and Securing Port 4.0 and Maritime Industry Against Cyberattacks. Nitesh Bharot, Priyanka Verma, Rutvij H. Jhaveri, John G. Breslin |
| 2025 | Data Driven Optimum Cyberattack Mitigation. Erol Gelenbe, Mohammed Nasereddin |
| 2025 | Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework. Tadesse K. Bahiru, Carlos Ordonez, Ioannis A. Kakadiaris |
| 2025 | Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN. Piotr Kulczycki, Grzegorz Golaszewski, Tomasz Szumlak, Szymon Lukasik |
| 2025 | Diffusion for Explainable Unsupervised Anomaly Detection. Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet |
| 2025 | Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization. Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2025 | Drone Swarm Sensitivity Estimation Using Bayesian Theory for Search and Rescue Operations. Luciano Netto de Lima, Ali Ghaderi, Fabio A. A. Andrade, Carlos Pfeiffer, Youcef Djenouri, Marcos Moura |
| 2025 | DyCAF-Net: Dynamic Class-Aware Fusion Network. Md Abrar Jahin, Shahriar Soudeep, Muhammad Firoz Mridha, Nafiz Fahad, Md. Jakir Hossen |
| 2025 | EPDD: Electrocardiogram-Based Pulmonary Disease Detector Using Machine Learning. Hari Sree Lalitha Vardhini Vanaparthi, Natasha Interlichia, Xudong Liu, Mona Nasseri, Scott A. Helgeson |
| 2025 | Efficient and Automatic 3D Parallelism Strategies Search via Contrastive Reinforcement Learning Pretrained Neural Networks. Jie Ou, Xiaowang Li, Yueming Chen, Jiahong Qian, Teng Su, Wenhong Tian |
| 2025 | Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning. Mabrouka Salmi, Dalia Atif, Sebastián Ventura |
| 2025 | Enhancing Touchless Sales Inventory and Operation Planning (SIOP) Using Machine Learning for Root Cause Analysis and Risk Mitigation. Sayantani Ghosh, Sai Kumar, Niket Kumar |
| 2025 | Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. Simon Klüttermann, Shubham Gupta, Emmanuel Müller |
| 2025 | Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks. Gregory Everett, Ryan J. Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn |
| 2025 | Evaluating Interpretability Using Logical Relations: Do Saliency Maps Encode Relevant Information? Leonid Schwenke, Martin Atzmueller |
| 2025 | Every Tweet Counts? Sentiment Analysis of Public Response Toward Indonesia's Free Nutritious Meal Program. Revalda Putawara, Zakiatul Wildani, Nur Mazhariya Ulmi, Ayu Mutia, Merysa, Rezky Aulia Yusuf |
| 2025 | Expert Detection on Crowdsourcing Forums via Sheaf Laplacian. Mehmet Emin Aktas, Iraj Moradi, Ibrahim Cosar, Yateeka Goyal, Asya Alyaz, Esra Akbas, Mehmet Ahsen |
| 2025 | Explainability of Molecular Graph Neural Network. Ataollah Kamal, Matej Hladis, Jérémie Topin, Marc Plantevit, Sébastien Fiorucci, Céline Robardet |
| 2025 | Fast Training on Dynamic Heterogeneous Information Network for Fake News Detection. Jinho Go, Aldhytha Karina Sari, Jiaojiao Jiang, Shuiqiao Yang, Sanjay Kumar Jha |
| 2025 | First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery. Priya Tomar, Maximilian Broß, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa |
| 2025 | From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers. Jan Marius Stürmer, Marius Graumann, Tobias Koch |
| 2025 | Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction. Karla Schäfer, Martin Steinebach |
| 2025 | Hybrid Federated Learning Framework with Client - Tailored Attentive Feature Extractor for Agricultural Health Monitoring. Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak |
| 2025 | HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss. Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2025 | HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields. Adam Kania, Artur Kasymov, Jakub Kosciukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemyslaw Spurek |
| 2025 | Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning. Sadia Tabassum, Leandro L. Minku |
| 2025 | Improving the End to End Purchasing Process in Indirect Procurement. Rama Reddy, Ravi Ilkal, Snehal Soni |
| 2025 | Leveraging Causal Discovery to Tackle Complexity in Model-Based Anomaly Detection: Case-Study from Blast Furnace Operation. Matej Vukovic, Belgin Mutlu, Thomas Kristan, Petra Krahwinkler, Christian Tauber, Stefan Thalmann |
| 2025 | Metapath-Free Heterogeneous Network Embedding via Heterogeneous Adjacency Matrix Reconstruction Based Mask Graph Autoencoders and Semantic Relation Aggregation. Hao-Cheng Ni, Shiou-Chi Li, Jen-Wei Huang |
| 2025 | Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects. Maike Holtkemper, Christian Beecks |
| 2025 | ModelForge: A Metric Approach to Machine Learning Model Consolidation. Florian Siepe, Thomas Peter Prinz, Thorsten Papenbrock |
| 2025 | Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering. Georg Stefan Schlake, Max Pernklau, Christian Beecks |
| 2025 | Multi-Objective Quantum Power System Redispatch. Loong Kuan Lee, Thore Gerlach, Johannes Knaute, Florian Gerhardt, Patrick Völker, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski |
| 2025 | Nonnegative Matrix Factorization and the Principle of the Common Cause. Edvard A. Khalafyan, Armen E. Allahverdyan, Arshak Hovhannisyan |
| 2025 | Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. Emilia Siviero, Guillaume Staerman, Stéphan Clémençon, Thomas Moreau |
| 2025 | Offshore Asset Inspection Redefined: Expert- Validated Deep Learning for Critical Defects. Urmila Gurung, M. S. Mekala, Carlos Francisco Moreno-García, Nikolaus Zolnhofer, Barry Marshall, Eyad Elyan |
| 2025 | Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification. Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau |
| 2025 | Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks. Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying |
| 2025 | PSM: Proactive Spill Mitigation in PySpark. Amin Karami |
| 2025 | Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning. Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa |
| 2025 | Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts. Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder |
| 2025 | REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation. Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva |
| 2025 | RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization. Mohammadreza Sediqin, Shlomo Engelson Argamon |
| 2025 | Reasoning LLMs in the Medical Domain: A Literature Survey. Armin Berger, Sarthak Khanna, Lorenz Sparrenberg, Tobias Deußer, David Berghaus, Rafet Sifa |
| 2025 | Reasoning with Knowledge Graphs for Trustworthy Course Recommendation. Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou |
| 2025 | Reproducibility and Case Sensitivity of LLMs for Anonymizing Depressed Tweets. Sameen Mansha, Hamza Mahmood, Anne Håkansson, Faisal Kamiran, Vladimir Vlassov |
| 2025 | Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? Chao Pan, Ke Tang, Qing Li, Xin Yao |
| 2025 | Scalable Deep Subspace Clustering Network. Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami |
| 2025 | Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models. Nikita Gautam, Bipin Paudel, Doina Caragea, Cornelia Caragea |
| 2025 | Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp. Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa |
| 2025 | SpInN: A Time Series Foundation Model for Spectral Indices Recommendation for Earth Observation Applications Using Satellite Data. Arshveer Kaur, Poonam Goyal, Vansh Bansal, Deep Pandya, Navneet Goyal |
| 2025 | Spatially Adaptive PM2.5 Estimation in Low-Sensor Regions Using Variational Gaussian Processes. Shrey Gupta, Avani Wildani, Yang Liu |
| 2025 | Student-Perceived Cognitive Load of LLM-Generated Programming Exercises. Muhammad Fawad Akbar Khan, Ludia Eka Feri, Ha Nguyen, Hamid Karimi |
| 2025 | The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams. Chun Wai Chiu, Leandro L. Minku |
| 2025 | Towards LLM-Guided Healthcare Dataset Harmonization. Christos Smailis, Carlos Ordonez, Ioannis A. Kakadiaris |
| 2025 | Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa |
| 2025 | Towards an Explainable-AI Enhanced Predictive Analytics System for Collaborative Learning in Smart Educational Environments. Rawia Bdiwi |
| 2025 | Unveiling Fairness and Performance of Causal Discovery. Sónia Teixeira, Ana Rita Nogueira, João Gama |