Accepted Papers - SISAP 2022
15th International Conference on Similarity Search and Applications
Bologna, Italy, Oct 5-7, 2022
Accepted papers for the main conference (long and short papers):
- Florian Lalande and Kenji Doya
Numerical Data Imputation: Choose KNN over Deep Learning - Gabriele Lagani, Claudio Gennaro, Hannes Fassold, and Giuseppe Amato
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level - Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, and Andrea Vignali
COSINER: COntext SImilarity data augmentation for NER - Erik Thordsen and Erich Schubert
On Projections to Linear Subspaces - Ibrahim Chegrane, Imane Hocine, Said Yahiaoui, Ahcene Bendjoudi, and Nadia Nouali-Taboudjemat
Graph Edit Distance Compacted Search Tree - Vladimír Míč and Pavel Zezula
Concept of Relational Similarity Search - My Hong Le and Alexander Hinneburg
An Application of Learned Multi-Modal Product Similarity to e-Commerce - Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selcuk Candan, and Huan Liu
Causal Disentanglement with Network Information for Debiased Recommendations - Lucia Vadicamo, Alan Dearle, and Richard Connor
On the Expected Exclusion Power of Binary Partitions for Metric Search - Gianluca Moro and Stefano Salvatori
Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval - Markéta Křenková, Vladimír Míč, and Pavel Zezula
Similarity Search with the Distance Density Model - Cole Foster, Berk Sevilmis, and Benjamin Kimia
Generalized Relative Neighborhood Graph (GRNG) for Similarity Search - Lars Lenssen and Erich Schubert
Clustering by Direct Optimization of the Medoid Silhouette - Erich Schubert
Automatic Indexing for Similarity Search in ELKI - Jaroslav Olha, Terézia Slanináková, Martin Gendiar, Matej Antol, and Vlastislav Dohnal
Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques - Ubaldo Ruiz, Stéphane Marchand-Maillet, and Edgar Chávez
Robust Constellations in Democratic Point Clouds - Fabio Carrara, Lucia Vadicamo, Claudio Gennaro, and Giuseppe Amato
Out-of-Core Approximate Nearest Neighbor Search on Standard Search Engines - Dušica Knežević, Jela Babić, Miloš Savić, and Miloš Radovanović
Evaluation of LID-Aware Graph Embedding Methods for Node Clustering - Richard Connor
A Ptolemaic Exclusion Mechanism - Petra Budikova, Daniel Klepac, David Rusnak, Milan Slovak
Visual Exploration of Human Motion Data - Henrique Oliveira Marques, Arthur Zimek, Ricardo José Gabrielli Barreto Campello, and Jörg Sander
Similarity-based Unsupervised Evaluation of Outlier Detection - Gianluca Moro, Lorenzo Valgimigli, Alex Rossi, Cristiano Casadei, and Andrea Montefiori
Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents - Stéphane Marchand-Maillet and Edgar Chávez
HubHSP Graph: Effective Data Sampling for Pivot-based Representation Strategies
Accepted papers - PhD Symposium:
- Alessandro Abluton
Visual Recommendation and Visual Search for Fashion E-Commerce - Armin Hedzic
Discovering Knowledge Graphs via Attention-Driven Graph Generation