| 2024 | Towards Personalized Similarity Search for Vector Databases. | Marek Mahrk, Mats Sikyna, Vladimir Mic, Pavel Zezula |
| 2024 | Bayesian Estimation Approaches for Local Intrinsic Dimensionality. | Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey |
| 2024 | An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search. | Malte Helin Johnsen, Martin Aumller |
| 2024 | Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering. | Miriama Jnosov, Andreas Lang, Petra Budkov, Erich Schubert, Vlastislav Dohnal |
| 2024 | Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos. | Miriama Jnosov, Petra Budkov, Jan Sedmidubsk |
| 2024 | Impact of the Neighborhood Parameter on Outlier Detection Algorithms. | Flix Iglesias, Conrado Martnez, Tanja Zseby |
| 2024 | Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. | Jan David Hwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks |
| 2024 | Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. | Michael E. Houle, Vincent Oria, Hamideh Sabaei |
| 2024 | Adapting the Exploration Graph for High Throughput in Low Recall Regimes. | Nico Hezel, Bruno Schilling, Kai Uwe Barthel, Konstantin Schall, Klaus Jung |
| 2024 | Top-Down Construction of Locally Monotonic Graphs for Similarity Search. | Cole Foster, Edgar Chvez, Benjamin B. Kimia |
| 2024 | Scalable Polyadic Queries. | Richard Connor, Alan Dearle, Ben Claydon |
| 2024 | Demonstrating the Efficacy of Polyadic Queries. | Ben Claydon, Richard Connor, Alan Dearle, Lucia Vadicamo |
| 2024 | REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods. | Andrej Cernek, Jan Sedmidubsk, Petra Budkov |
| 2023 | Approximate Similarity Search for Time Series Data Enhanced by Section Min-Hash. | Ryota Tomoda, Hisashi Koga |
| 2023 | An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search. | Erik Thordsen, Erich Schubert |
| 2023 | Overview of the SISAP 2023 Indexing Challenge. | Eric Sadit Tellez, Martin Aumller, Edgar Chvez |
| 2023 | SISAP 2023 Indexing Challenge - Learned Metric Index. | Terzia Slaninkov, David Prochzka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal |
| 2023 | Diversity Similarity Join for Big Data. | Yasin N. Silva, Juan Martinez, Pedro Castro Cea, Humberto Luiz Razente, Maria Camila Nardini Barioni |
| 2023 | Enhancing Approximate Nearest Neighbor Search: Binary-Indexed LSH-Tries, Trie Rebuilding, and Batch Extraction. | Christoffer J. W. Romild, Thomas H. Schauser, Joachim Alexander Borup |
| 2023 | Minwise-Independent Permutations with Insertion and Deletion of Features. | Rameshwar Pratap, Raghav Kulkarni |
| 2023 | General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo. | Yutaro Oguri, Yusuke Matsui |
| 2023 | Retrieve-and-Rank End-to-End Summarization of Biomedical Studies. | Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Lorenzo Molfetta |
| 2023 | CRANBERRY: Memory-Effective Search in 100M High-Dimensional CLIP Vectors. | Vladimir Mic, Jan Sedmidubsk, Pavel Zezula |
| 2023 | The Dataset-Similarity-Based Approach to Select Datasets for Evaluation in Similarity Retrieval. | Matheus A. L. Matiazzo, Vitor de Castro-Silva, Rafael Seidi Oyamada, Daniel S. Kaster |
| 2023 | Unbiased Similarity Estimators Using Samples. | Conrado Martnez, Alfredo Viola, Jun Wang |