- Research Track.- An Efficient Framework for Approximate Nearest Neighbor Search on High-dimensional Multi-metric Data.- REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods.- ETDD70: Eye-Tracking Dataset for Classification of Dyslexia using AI-based Methods.- Demonstrating the Efficacy of Polyadic Queries.- Scalable Polyadic Queries.- A Dynamic Evaluation Metric for Feature Selection.- Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos.

- Impact of the Neighborhood Parameter on Outlier Detection Algorithms.- Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment.- Bayesian Estimation Approaches for Local Intrinsic Dimensionality.- Towards Personalized Similarity Search for Vector Databases.- Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis.- An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search.- On the Design of Scalable Outlier Detection Methods using Approximate Nearest Neighbor Graphs.- A Topological Evaluation Model for Manifold Learning and Embedding Techniques.

- Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration.- Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series.- Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers.- Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering.- Hierarchical Clustering without Pairwise Distances by Incremental Similarity Search.- Indexing Challenge.- Overview of the SISAP 2024 Indexing Challenge.- Scaling Learned Metric Index to 100M Datasets.

- Grouping Sketches to Index High-Dimensional Data in a Resource Limited Setting.- Adapting the Exploration Graph for high throughput in low recall regimes.- Top-Down Construction of Locally Monotonic Graphs for Similarity Search.