Search results

101. Advanced statistical and deep learning models to predict cancer risk and support treatment decisions

Principal investigator: dr Michał Marczyk

Politechnika Śląska, Wydział Automatyki, Elektroniki i Informatyki

Call: SONATA BIS 13, Panel: NZ2

102. Decision support system for small vessel disease diagnosis, leveraging the synergy of machine learning and radiomics

Principal investigator: Maria Anna Ferlin

Politechnika Gdańska

Call: PRELUDIUM 22, Panel: ST6

103. Multispectral fluorescence coupled with machine learning methods to identify food-related bacteria

Principal investigator: dr Klaudia Maria Głowacz-Zielińska

Politechnika Warszawska, Wydział Chemiczny

Call: PRELUDIUM 22, Panel: ST4

104. Introduction of machine learning algorithms to the prediction of in-flight feedstock thermophysical properties during su…

Principal investigator: Tomasz Adrian Kiełczawa

Politechnika Wrocławska

Call: PRELUDIUM 22, Panel: ST8

105. AUTOMATIC: Analysis of the relationship between the AUTOnoMic nervous system and cerebral AutoregulaTIon using maChine l…

Principal investigator: dr Agnieszka Małgorzata Uryga

Politechnika Wrocławska

Call: SONATA 18, Panel: ST7

106. Morphological analysis of intracranial pressure and arterial blood pressure pulse waveforms using deep learning

Principal investigator: dr Agnieszka Kazimierska

Politechnika Wrocławska

Call: PRELUDIUM 21, Panel: ST7

107. Dynamic Neural Networks for Efficient Machine Learning

Principal investigator: dr hab. Tomasz Trzciński

Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

Call: OPUS 23, Panel: ST6

108. Developing a new direction for collider BSM searches with Machine Learning

Principal investigator: Rafał Masełek

Uniwersytet Warszawski, Wydział Fizyki

Call: PRELUDIUM 20, Panel: ST2

109. Studies of charm and beauty jet quenching with ALICE detector and machine learning

Principal investigator: Sebastian Adam Bysiak

Instytut Fizyki Jądrowej im. Henryka Niewodniczańskiego PAN

Call: PRELUDIUM 19, Panel: ST2

110. Combination of Molecular Simulation and Deep Learning for De Novo Drug Design

Principal investigator: dr Tomasz Jakub Danel

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: PRELUDIUM 19, Panel: ST6

111. Multiobjective Classifier Learning for Chosen Decision Tasks

Principal investigator: prof. Michał Wojciech Woźniak

Politechnika Wrocławska

Call: OPUS 18, Panel: ST6

112. DALEX: Desciptive and model Agnostic Local EXplanations of machine learning models

Principal investigator: dr hab. Przemysław Biecek

Politechnika Warszawska, Wydział Matematyki i Nauk Informacyjnych

Call: OPUS 14, Panel: ST6

113. Development of deep neural network learning methods

Principal investigator: prof. Leszek Rutkowski

Politechnika Częstochowska, Wydział Inżynierii Mechanicznej i Informatyki

Call: OPUS 14, Panel: ST6

114. Efficient unsupervised learning with applications in deep learning

Principal investigator: prof. Jacek Tabor

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: OPUS 13, Panel: ST6

115. Learning and inference methods for dynamic complex networks

Principal investigator: dr Tomasz Kajdanowicz

Politechnika Wrocławska

Call: SONATA 11, Panel: ST6

116. The development of machine learning methods for big data quality monitoring and its interactive visualisation in the fra…

Principal investigator: dr Tomasz Trzciński

Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

Call: SONATA 11, Panel: ST6

117. Constructions of sets of integral images for fast feature extraction and machine learning in detection tasks

Principal investigator: dr hab. Przemysław Maciej Klęsk

Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki

Call: OPUS 11, Panel: ST6

118. gEMiLia - gEnomic Machine Learning. Machine learning algorithms and methods with cloud computing for biological and medi…

Principal investigator: dr Anna Leśniewska

Politechnika Poznańska, Wydział Informatyki

Call: SONATA 9, Panel: ST6

119. Machine learning methods for complex networks

Principal investigator: dr hab. Przemysław Ryszard Kazienko

Politechnika Wrocławska, Wydział Informatyki i Zarządzania

Call: OPUS 5, Panel: ST6

120. Development of algorithms for all relevant feature selevtion using machine learning methods

Principal investigator: dr hab. Witold Remigiusz Rudnicki

Uniwersytet Warszawski, Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego

Call: OPUS 5, Panel: ST6

121. Agile learning culture influence on dynamic capabilities of knowledge-based organizations: Polish-Finnish cross-country …

Principal investigator: dr hab. Wioleta Kucharska

Politechnika Gdańska

Call: OPUS 24, Panel: HS4

122. Specific learning difficulties in reading and spelling - interlingual perspective

Principal investigator: dr Marta Łockiewicz

Uniwersytet Gdański, Wydział Nauk Społecznych

Call: HARMONIA 6, Panel: HS6

123. Machine Learning Platform for Personalized Intravitreal Anti-VEGF Therapy Using Drug-Loaded Polymeric Nanoparticles

Principal investigator: dr Marcin Krzysztof Heljak

Politechnika Warszawska

Call: M-ERA.NET 3 Call 2025, Panel: ST11

124. Estimating the probability of glioma recurrence and the time of its occurrence using metabolomics, proteomics, and machi…

Principal investigator: Adrian Godlewski

Uniwersytet Medyczny w Białymstoku

Call: PRELUDIUM 24, Panel: NZ5

125. Development of a roughness model for drag prediction in minichannel flows using machine learning

Principal investigator: prof. Włodzimierz Grzegorz Wróblewski

Politechnika Śląska

Call: OPUS 29, Panel: ST8

126. Analysis of the multiphase transformations of secondary organic aerosols using machine learning

Principal investigator: prof. Tomasz Jan Gierczak

Uniwersytet Warszawski

Call: OPUS 29, Panel: ST10

127. Towards accurate universal machine learning potentials for electronic excited-state simulations

Principal investigator: Mikołaj Jan Martyka

Uniwersytet Warszawski

Call: PRELUDIUM 24, Panel: ST4

128. Design-ready forward and inverse surrogate modeling of high-frequency structures using deep learning and dimensionality …

Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

Politechnika Gdańska

Call: OPUS 29, Panel: ST7

129. NMR Spectroscopy as Molecular Language: A Deep Learning Approach to Bioactivity Prediction

Principal investigator: Arkadiusz Bogumił Leniak

Instytut Farmakologii PAN

Call: PRELUDIUM 24, Panel: NZ7

130. Exploring new infrared phosphors aided by machine learning

Principal investigator: dr Tadeusz Franciszek Leśniewski

Uniwersytet Gdański

Call: SONATA 20, Panel: ST3

131. [DeepSee] Deep learning single-shot in-line quantitative phase imaging

Principal investigator: dr Maria Cywińska

Politechnika Warszawska

Call: OPUS 28, Panel: ST7

132. Design automation and simulation-driven optimization of high-frequency systems using machine learning

Principal investigator: dr hab. Anna Pietrenko-Dąbrowska

Politechnika Gdańska

Call: OPUS 28, Panel: ST7

133. Effects of ketamine optical isomers on motivation and decision-making in rats using deep learning for behavioral analysi…

Principal investigator: dr Natalia Alicja Malikowska-Racia

Instytut Farmakologii PAN

Call: SONATA 20, Panel: NZ7

134. Security of radio-physics-based federated learning in next-generation edge computing systems

Principal investigator: dr Małgorzata Helena Wasilewska

Politechnika Poznańska

Call: PRELUDIUM 23, Panel: ST7

135. Application of 3D modeling, micro and nano computed tomography and machine learning to optimization an energy-saving and…

Principal investigator: prof. Robert Józef Filipek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: OPUS 27, Panel: ST8

136. Identification and measurement of systemic threats to the insurance sector resulting from climate risk in the light of s…

Principal investigator: dr hab. Anna Bronisława Denkowska

UNIWERSYTET EKONOMICZNY W KRAKOWIE

Call: OPUS 27, Panel: HS4

137. A machine learning usage to predict venetoclax efficacy and toxicity in chronic lymphocytic leukemia.

Principal investigator: Dorota Kruk-Kwapisz

Warszawski Uniwersytet Medyczny

Call: PRELUDIUM 23, Panel: NZ7

138. Building reusable representations

Principal investigator: dr Mateusz Michał Ostaszewski

Politechnika Warszawska

Call: SONATA 19, Panel: ST6

139. Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

Principal investigator: dr hab. Łukasz Gondek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: M-ERA.NET 3 Call 2023, Panel: ST3

140. Probabilistic predictions as inputs to statistical learning models: Price forecasting and decision support in markets fo…

Principal investigator: Bartosz Uniejewski

Politechnika Wrocławska

Call: PRELUDIUM 22, Panel: HS4

141. Damage Diagnosis and Remaining Useful Life Prognosis of Adhesively Bonded Composite Structures Based on Digital Twin and…

Principal investigator: Yang Zhang

Instytut Maszyn Przepływowych im. Roberta Szewalskiego PAN

Call: PRELUDIUM 22, Panel: ST8

142. MLDR: A Machine Learning-Driven Radio Interface

Principal investigator: dr hab. Szymon Szott

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

Call: CHIST-ERA Call 2022, Panel: ST7

143. Targeting nucleic acid-protein complexes with small molecules using a deep-learning framework

Principal investigator: dr Ryhor Nikalayeu

Międzynarodowy Instytut Biologii Molekularnej i Komórkowej

Call: SONATINA 7, Panel: NZ1

144. Step beyond classical lipophilicity - modeling of phospholipids affinity using immobilized artificial membranes chromato…

Principal investigator: dr hab. Krzesimir Ciura

Gdański Uniwersytet Medyczny, Wydział Farmaceutyczny

Call: SONATA 18, Panel: NZ7

145. Unsupervised specification-driven design of antenna structures using artificial intelligence and machine learning

Principal investigator: prof. Sławomir Kozieł

Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki

Call: OPUS 24, Panel: ST7

146. Advanced methods of numerical modeling supported by machine learning tools for predicting water adsorption in MOF materi…

Principal investigator: Bartosz Mazur

Politechnika Wrocławska

Call: PRELUDIUM 21, Panel: ST4

147. A novel approach to the assessment of date fruit quality (Phoenix dactylifera L.) under different storage conditions, us…

Principal investigator: dr Younes Noutfia

Instytut Ogrodnictwa

Call: POLONEZ BIS 2, Panel: NZ9

148. Utilization of the Machine Learning and Radio Environment Maps for Management of User-Centric Massive MIMO Network

Principal investigator: Marcin Dominik Hoffmann

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

Call: PRELUDIUM 21, Panel: ST7

149. The Understandability Requirement of Machine Learning Systems Used in the Application of Law

Principal investigator: Andrzej Porębski

Uniwersytet Jagielloński, Wydział Prawa i Administracji

Call: PRELUDIUM 21, Panel: HS5

150. Deep neural architectures for unsupervised graph representation learning

Principal investigator: Piotr Bielak

Politechnika Wrocławska

Call: PRELUDIUM 20, Panel: ST6

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