.- Keynote Talk.
.- Sparse Matrix Algorithms for Evolving Neural Networks.
.- Invited Talk.
.- Data integration in the AI era: research trends and still open issues.
.-
Tutorial.
.- Leveraging machine learning techniques for customer data deduplication-hard-won lessons from a real-world project in the financial industry,
.- Data mining and knowledge discovery.
.- FairFES - Fast Exact Sampling for Fair Classification.
.- Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models.
.- FNoDe: Faulty Node Detection in Microservices Architecture.
.- An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining.
.- Sequential data analytics and recommendation systems.
.- Entity Resolution for Streaming Data with Embeddings.
.- Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy.
.- Alternatives to Shallow Autoencoders for Collaborative Filtering.
.- Accurate Concept Drift Detection without Updating Autoencoders.
.- Graph data processing and analytics.
.- Parallel and Distributed SQL/PGQ Query Processing for Property Graphs.
.- Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning.
.- SemViSG : Semantic Enrichment and Visualization of Software Graphs.
.- Data management and Indices.
.- Certainty Attacks Using Explainability Preprocessing.
.- Integrating Bitcoin Transactions into Relational Databases for IoT: Challenges and Solutions.
.- Effects of Response Length on User Search Experience in Spoken Conversational Search.
.- Fair Proportional Top-k Ranking.
.- PAID: Power-efficient AI-optimized Databases.
.- On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data.
.- A Bayesian Reinforcement Learning Framework for Online Index Tuning.
.- Large language models (LLMs).
.- Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models.
.- Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs.
.- MicroSuggest: Kernel-Aware Microservice Decomposition.
.- TraceTune: Targeted Fine-Tuning of Attention Heads for Text-to-SQL.
.- Neural networks.
.- ONNYX : Optimized Neural Networks Yielding eXplainable insights from ECG signals-based data streams.
.- SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks.
.- Prediction of iterative solvers' convergence using pretraining by natural images.
.- Local-aware Convolutional Modulation for Short-Term Sequential Recommendation.
