Vadim Liventsev

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Term Dependencies

Personal Health

Weakly Supervised Learning

Top Venues

GECCO Companion

Frontiers Artif. Intell.

Publications

Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Balloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling
PhilHumans: Benchmarking Machine Learning for Personal Health. CoRR (2024)
Vadim Liventsev, Tobias Fritz
Intensive Care as One Big Sequence Modeling Problem. CoRR (2024)
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen
Fully Autonomous Programming with Large Language Models. CoRR (2023)
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen
Fully Autonomous Programming with Large Language Models. GECCO (2023)
Vadim Liventsev, Aki Härmä, Milan Petkovic
BF++: a language for general-purpose neural program synthesis. CoRR (2021)
Sander de Bruin, Vadim Liventsev, Milan Petkovic
Autoencoders as Tools for Program Synthesis. CoRR (2021)
Vadim Liventsev, Aki Härmä, Milan Petkovic
Neurogenetic Programming Framework for Explainable Reinforcement Learning. CoRR (2021)
Vadim Liventsev, Aki Härmä, Milan Petkovic
Neurogenetic programming framework for explainable reinforcement learning. GECCO Companion (2021)
Vadim Liventsev, Aki Härmä, Milan Petkovic
Towards Effective Patient Simulators. Frontiers Artif. Intell. 4 (2021)
Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov
Deep Text Prior: Weakly Supervised Learning for Assertion Classification. ICANN (Workshop) (2019)
Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. BIBM (2019)