| 2026 | DATA | Deep Representative Text Modeling for the Consistent Identification of SARS-CoV-2 Anomalies. | Renata Avros, Valery Kirzner, Dvora Toledano-Kitai, Zeev Volkovich |
| 2026 | DATA | Structural-Temporal Anomaly Detection in Scholarly Networks Using Hyperbolic Representations. | Renata Avros, Shoval Ben Shushan, Adar Budomski, Dvora Toledano-Kitai, Zeev Volkovich |
| 2026 | DATA | Community-Aware Spectral Anomaly Detection in Scholarly Graphs. | Itay Mohabati, Shai Yosef, Renata Avros, Zeev Volkovich |
| 2025 | DATA | A Nested Structure of Anomalies in Academic Publication Citations. | Renata Avros, Gal Farfel, Zeev Volkovich |
| 2025 | DATA | Citation Steadiness Analysis with GraphSAGE Approach. | Renata Avros, Dvora Toledano-Kitai, Zeev Volkovich |
| 2025 | DATA | Appraisal of Citation Reliability Using a Gan-Based Approach. | Dvora Toledano-Kitai, Renata Avros, Ilya Lev, Biran Fridman, Zeev Volkovich |
| 2025 | KES | Nested Structure of Citation Anomalies. | Renata Avros, Omri Sharof, Boris Shoostin, Zeev Volkovich |
| 2025 | KES | Assessing citation appropriateness through masked graph autoencoder. | Renata Avros, Zeev Volkovich |
| 2025 | KES | Assessment of citation suitability via an ant colony-inspired algorithm. | Dvora Toledano-Kitai, Yoni Azeraf, Itamar Kraus, Zeev Volkovich |
| 2024 | KES | Exploring Compressed Sensing for Proficient Cryptocurrency Mining. | Renata Avros, Uri Kesselman, Zeev Volkovich |
| 2023 | IWANN | An Approach to Predicting Social Events via Dailies Tracking. | Renata Avros, Dan Lemberg, Elena V. Ravve, Zeev Volkovich |
| 2023 | IWANN | Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. | Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean |
| 2023 | KES | COVID-19 genomes classification using the Deep Impostors approach. | Renata Avros, Kfir Avioz, On Avioz, Zeev Volkovich |
| 2023 | SYNASC | Detecting Manipulated Citations through Disturbed Node2Vec Embedding. | Renata Avros, Saar Keshet, Dvora Toledano-Kitai, Evgeny Vexler, Zeev Volkovich |
| 2022 | KES | Deep Sentimental Analysis of the Arabic Medieval Documents. | Renata Avros, Zeev Volkovich |
| 2016 | KES | Text Classification Using a Novel Time Series based Methodology. | Zeev Volkovich, Renata Avros |
| 2015 | KES | An Iterative Projective Clustering Method. | Renata Avros, Zakharia M. Frenkel, Dvora Toledano-Kitai, Zeev Volkovich |
| 2015 | SYNASC | Automatic Definition of Optimal Default Parameters of Models: Image Matting Application. | Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber |
| 2015 | SYNASC | Incremental Reasoning on Strongly Distributed Multi-agent Systems. | Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber |
| 2013 | SYNASC | A Systematic Approach to Computations on Decomposable Graphs. | Elena V. Ravve, Zeev Volkovich |
| 2012 | IC3K | An Approach to Model Selection in Spectral Clustering with Application to the Writing Style Determination Problem. | Renata Avros, Avi Soffer, Zeev Volkovich, Orly Yahalom |
| 2012 | IC3K | Model Selection and Stability in Spectral Clustering . | Zeev Volkovich, Renata Avros |