📚 Publications
Below are publications from the last five years. The full, numbered bibliography is in Academic_CV_Vilenchik.pdf.
2026
- E. Shoham,..., D. Vilenchik, “Learning to rank: How GNNs solve max-clique and sparse PCA,” in Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI), Oral Presentation, 2026.
- E. Shoham,..., D. Vilenchik, “Concept learning for algorithmic reasoning: Insights from SAT-solving GNNs,” Information Sciences, vol. 726, 2026.
2025
- J. Barrett, K. Gal, L. Michael & D. Vilenchik, “Beyond the echo chamber: Modelling open-mindedness in citizens assemblies,” in Proceedings of the 2025 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2025.
- G. Barel, O. Tsur & D. Vilenchik, “Acquired taste: Multimodal stance detection with textual and structural embeddings,” in Proceedings of the 30th International Conference on Computational Linguistics (COLING), 2025.
- D. Vilenchik et al., “Method matters: Enhancing voice-based depression detection with a new data collection framework,” Depression & Anxiety, 2025.
- I. El-Makias & D. Vilenchik, “Choosing the right dataset: Hardness criteria for feature selection benchmarking,” Knowledge-Based Systems, 2025.
- O. Rafaeli, I. Marienberg-Milikowsky & D. Vilenchik, “Mind the gap: Word-embedding and multi-layered literary networks,” Digital Scholarship in the Humanities, 2025.
- T. M. Schwartz Tayri et al. & D. Vilenchik, “A case-specific psychological first aid AI recommendations app for rescue and first responders,” European Journal of Psychotraumatology, vol. 16, no. 1, 2025.
- T. Schwartz Tayri, N. Cohen Inger & D. Vilenchik, “Chapter 23: Data is power: The use of big data and artificial intelligence in welfare services in Israel,” in Management of Welfare Services in Israel — Theory, research and practice (Hebrew), Resling, 2025.
2024
- Y. Salomon et al. & D. Vilenchik, “Direction of arrival estimation for radionuclides based on neural network approach,” in Proceedings of Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2024.
- Y. Salomon et al. & D. Vilenchik, “Direction of arrival estimation for radionuclides based on neural network approach,” IEEE Transactions on Nuclear Science, vol. 71, no. 5, pp. 1124–1133, 2024.
- A. Soffer et al. & D. Vilenchik, “Moloptimizer: A molecular optimization toolkit for fragment-based drug design,” Molecules, 2024.
- J. Barrett, K. Gal, L. Michael & D. Vilenchik, “Beyond the echo chamber: Modelling open-mindedness in citizens’ assemblies,” Autonomous Agents and Multi-Agent Systems, Special Issue on Citizen-Centric AI Systems, 2024.
2023
- I. Weiss & D. Vilenchik, “Predicting churn in online games by quantifying diversity of engagement,” Big Data, vol. 11, no. 4, pp. 282–295, 2023.
- C. Cordeiro et al. & D. Vilenchik, “Fast, accurate, and cost-effective poultry sex genotyping using real-time polymerase chain reaction,” Frontiers in Veterinary Science, 2023.
2022
- R. Korenblum, V. Kozhukhov, D. Vilenchik & O. Tsur, “STEM: Unsupervised structural embedding for stance detection,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
- R. Fairstein, R. Meir, D. Vilenchik & K. Gal, “Welfare vs. representation in participatory budgeting,” in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2022.
- K. Danilchenko, M. Segal & D. Vilenchik, “Opinion spam detection: A new approach using machine learning and network-based algorithms,” in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2022.
- T. Ilan & D. Vilenchik, “Harald: Augmenting hate speech data sets with real data,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
- R. Portnikhs et al. & D. Vilenchik, “An experimental undogmatic modelling of (Hebrew) literature,” Digital Journal for Philology, Special Issue on Digital Methods in Literary Studies, 2022.
- C. Sofer, R. Dotsch, D. Vilenchik & G. Avidan, “The compositionality of facial expressions,” Perception, vol. 51, no. 3, pp. 172–186, 2022.
- Y. Neuman, M. Danesi & D. Vilenchik, Using AI for Dialoguing with Texts: From Psychology to Cinema and Literature, Routledge, 2022.