CytoHiC: a cytoscape plugin for visual comparison of Hi-C networks. - Yoli Shavit; Pietro Liò (Bioinform., 2013)

Automated Detection of Fluorescent Probes in Molecular Imaging. - Fiona Kathryn Hamey; Yoli Shavit; Valdone Maciulyte; Christopher Town 001; Pietro Liò; Sabrina Tosi (CIBB, 2014)

FisHiCal: an R package for iterative FISH-based calibration of Hi-C data. - Yoli Shavit; Fiona Kathryn Hamey; Pietro Liò (Bioinform., 2014)

Switching Gene Regulatory Networks. - Yoli Shavit; Boyan Yordanov; Sara-Jane Dunn; Christoph M. Wintersteiger; Youssef Hamadi; Hillel Kugler (IPCAT, 2015)

How computer science can help in understanding the 3D genome architecture. - Yoli Shavit; Ivan Merelli; Luciano Milanesi; Pietro Liò (Briefings Bioinform., 2016)

Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration. - Yoli Shavit; Barnabas James Walker; Pietro Liò (Bioinform., 2016)

Automated Synthesis and Analysis of Switching Gene Regulatory Networks. - Yoli Shavit; Boyan Yordanov; Sara-Jane Dunn; Christoph M. Wintersteiger; Tomoki Otani; Youssef Hamadi; Frederick J. Livesey; Hillel Kugler (Biosyst., 2016)

Introduction to Camera Pose Estimation with Deep Learning. - Yoli Shavit; Ron Ferens (CoRR, 2019)

Do We Really Need Scene-specific Pose Encoders? - Yoli Shavit; Ron Ferens (ICPR, 2020)

Learning Multi-Scene Absolute Pose Regression with Transformers. - Yoli Shavit; Ron Ferens; Yosi Keller (ICCV, 2021)

Boosting Inertial-Based Human Activity Recognition With Transformers. - Yoli Shavit; Itzik Klein (IEEE Access, 2021)

Paying Attention to Activation Maps in Camera Pose Regression. - Yoli Shavit; Ron Ferens; Yosi Keller (CoRR, 2021)

ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching. - Yan Shi; Junxiong Cai; Yoli Shavit; Tai-Jiang Mu; Wensen Feng; Kai Zhang 012 (CVPR, 2022)

Camera Pose Auto-encoders for Improving Pose Regression. - Yoli Shavit; Yosi Keller (ECCV (10), 2022)

Adversarial Learning of Hard Positives for Place Recognition. - Wenxuan Fang; Kai Zhang 012; Yoli Shavit; Wensen Feng (IJCNN, 2022)

WT-MVSNet: Window-based Transformers for Multi-view Stereo. - Jinli Liao; Yikang Ding; Yoli Shavit; Dihe Huang; Shihao Ren; Jia Guo; Wensen Feng; Kai Zhang 012 (NeurIPS, 2022)

Learning to Localize in Unseen Scenes with Relative Pose Regressors. - Ofer Idan; Yoli Shavit; Yosi Keller (CoRR, 2023)

Coarse-to-Fine Multi-Scene Pose Regression With Transformers. - Yoli Shavit; Ron Ferens; Yosi Keller (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SemantiLog: Log-based Anomaly Detection with Semantic Similarity. - Yoli Shavit; Kathy Razmadze; Gary Mataev; Hanan Shteingart; Eitan Zahavi; Zachi Binshtock (ASE, 2024)

Learning single and multi-scene camera pose regression with transformer encoders. - Yoli Shavit; Ron Ferens; Yosi Keller (Comput. Vis. Image Underst., 2024)