Search results

101. Establishing a benchmarking platform for AI/ML predictive models for bioactivity and toxicity in agrochemistry.

Principal investigator: dr hab. Paweł Aleksander Siedlecki

Instytut Biochemii i Biofizyki PAN

Call: OPUS 29, Panel: ST4

102. Efficiency and Adaptability through Compression of Large Language Models

Principal investigator: Maciej Stefaniak

Uniwersytet Warszawski

Call: PRELUDIUM 24, Panel: ST6

103. Advancing light-based imaging using Quantum Optical Coherence Tomography and Machine Learning

Principal investigator: dr hab. Piotr Kolenderski

Uniwersytet Mikołaja Kopernika

Call: OPUS 29, Panel: ST2

104. Physics Informed Neural Networks with hierarchical matrices and Petrov-Galerkin method (HPG-PINN)

Principal investigator: dr Tomasz Służalec

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: OPUS 29, Panel: ST6

105. Multimodal learning for medical image analysis

Principal investigator: dr Szymon Stefan Płotka

Uniwersytet Jagielloński

Call: OPUS 29, Panel: ST6

106. Flow Boiling Heat Transfer in Annular and Rectangular Minichannels Using Machine Learning-Based Modeling

Principal investigator: prof. Magdalena Janina Piasecka

POLITECHNIKA ŚWIĘTOKRZYSKA

Call: OPUS 29, Panel: ST8

107. Multi-geomodal representation learning for geographic transfer learning

Principal investigator: dr Piotr Szymański

Politechnika Wrocławska

Call: SONATA 20, Panel: ST6

108. Probabilistic Methods for Plausibility, Robustness, and Diversity in Counterfactual Explanations

Principal investigator: dr hab. Maciej Mateusz Zięba

Politechnika Wrocławska

Call: OPUS 28, Panel: ST6

109. Sustainable event-based vision for scene perception and understanding by autonomous robots

Principal investigator: prof. Bogdan Kwolek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: OPUS 28, Panel: ST6

110. Recognition of multi-modal patterns in full-slide histopathological images using large vision and language models.

Principal investigator: prof. Bogusław Antoni Cyganek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: OPUS 28, Panel: ST6

111. Multimodal Geometric Deep Learning in Medical Image Analysis

Principal investigator: dr Marek Michał Wodziński

Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

Call: SONATA 20, Panel: ST6

112. Calculus of variation for Machine Learning Problems

Principal investigator: dr hab. Błażej Grzegorz Miasojedow

Uniwersytet Warszawski

Call: OPUS 28, Panel: ST6

113. GENIE-MRI: Generative Neural Networks for Image Exchange in breast MRI

Principal investigator: dr Andrzej Liebert

Instytut Podstaw Informatyki PAN

Call: SONATA 20, Panel: ST6

114. New architectures and algorithms for neurosymbolic deep learning

Principal investigator: Piotr Leszek Wyrwiński

Politechnika Poznańska

Call: PRELUDIUM 23, Panel: ST6

115. What are spatial and temporal trends of natural and anthropogenic influences on PM2.5 concentrations in Europe under cha…

Principal investigator: Tetiana Vovk

Uniwersytet Wrocławski

Call: PRELUDIUM 23, Panel: ST10

116. Algorithmic challenges of molecular evolution.

Principal investigator: prof. Anna Barbara Gambin

Uniwersytet Warszawski

Call: OPUS 27, Panel: ST6

117. Reliable and efficient real-world test-time adaptation

Principal investigator: Damian Sójka

Akces Ncbr Spółka z Ograniczoną Odpowiedzialnością

Call: PRELUDIUM 23, Panel: ST6

118. Network Neutral Traffic Classification and Management

Principal investigator: dr hab. Robert Wójcik

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: OPUS 27, Panel: ST7

119. Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

Principal investigator: Weronika Tamara Węgier

Politechnika Wrocławska

Call: PRELUDIUM 23, Panel: ST6

120. Continual learning with conditional computation networks

Principal investigator: Filip Maciej Szatkowski

IDEAS NCBR Sp. z o.o.

Call: PRELUDIUM 23, Panel: ST6

121. Addressing Data-Centric AI Challenges in Machine Learning with Advanced Sample-Selection Techniques

Principal investigator: Mateusz Wojtulewicz

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Call: PRELUDIUM 23, Panel: ST6

122. Novel transformer-based architectures for time series classification based on symbolic data representation

Principal investigator: dr hab. Agnieszka Jastrzębska

Politechnika Warszawska

Call: OPUS 27, Panel: ST6

123. Development of a Plug-and-Play Middleware for Integrating Robot Sensor Data with GIS Tools in a Cloud Environment

Principal investigator: dr hab. Robert Wrembel

Politechnika Poznańska

Call: CHIST-ERA Call 2023, Panel: ST6

124. Alignment Of Large Language Models Via Debate And Reinforcement Learning

Principal investigator: dr Łukasz Paweł Kuciński

IDEAS NCBR Sp. z o.o.

Call: OPUS 26, Panel: ST6

125. From Art to Science: Bridging gaps in diffusion-based generative modeling

Principal investigator: dr Kamil Deja

Politechnika Warszawska

Call: OPUS 26, Panel: ST6

126. Explainability methods for machine learning models in static and evolving data

Principal investigator: prof. Jerzy Maciej Stefanowski

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

Call: OPUS 26, Panel: ST6

127. Modeling and Forecasting of Infection Spread in Warand Post War Settings Using Epidemiological, Behavioral and Genomic S…

Principal investigator: dr hab. Sergiy Yakovlev

Politechnika Łódzka, Wydział Fizyki Technicznej, Informatyki i Matematyki Stosowanej

Call: IMPRESS-U, Panel: ST6

128. Machine Learning and Network Physiology for Medical Diagnosis with an Application to Dysfunctional Breathing

Principal investigator: dr hab. Marcin Lech Gruszecki

Gdański Uniwersytet Medyczny, Wydział Nauk o Zdrowiu z Instytutem Medycyny Morskiej i Tropikalnej

Call: OPUS 26 (LAP), Panel: NZ4

129. Application of artificial intelligence to predict the presence of left atrial appendage thrombus based on transthoracic …

Principal investigator: dr Konrad Pieszko

Uniwersytet Zielonogórski, Collegium Medicum

Call: SONATA 19, Panel: NZ5

130. Sustainable computer vision for autonomous machines

Principal investigator: dr hab. Bartosz Michał Zieliński

IDEAS NCBR Sp. z o.o.

Call: SONATA BIS 13, Panel: ST6

131. Deep learning for tabular data

Principal investigator: dr hab. Marek Śmieja

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: SONATA BIS 13, Panel: ST6

132. XAICancer: Explainable Artificial Intelligence for Cancer Imaging

Principal investigator: dr Neo Christopher Chung

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Call: SONATA BIS 13, Panel: ST6

133. 3D generative models based on NeRF representation

Principal investigator: dr hab. Przemysław Spurek

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: SONATA BIS 13, Panel: ST6

134. Computationally efficient dynamic neural networks

Principal investigator: Bartosz Wójcik

IDEAS NCBR Sp. z o.o.

Call: PRELUDIUM 22, Panel: ST6

135. Acceleration and compression of deep neural networks using low-rank approximation methods

Principal investigator: Mateusz Gabor

Politechnika Wrocławska

Call: PRELUDIUM 22, Panel: ST6

136. 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

137. Uncovering structure in neural network representations

Principal investigator: dr hab. Marcin Michał Kurdziel

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

Call: OPUS 25, Panel: ST6

138. Detection and denoising of Gravitational Wave sources in Einstein Telescope using deep learning

Principal investigator: Wathela Hamed Osman Alhassan

Centrum Astronomiczne im. Mikołaja Kopernika PAN

Call: PRELUDIUM 22, Panel: ST9

139. Improving the transferability of self-supervised learning models

Principal investigator: Marcin Paweł Przewięźlikowski

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: PRELUDIUM 22, Panel: ST6

140. "I like to move it, move it" – molecular dynamics-driven optimization of ligand residence time as an opportunity to impr…

Principal investigator: dr hab. Sabina Marta Podlewska

Instytut Farmakologii PAN

Call: OPUS 25, Panel: NZ7

141. Meta-learning as a machine learning tool for experimental boosting of sorption properties of ionic liquids

Principal investigator: Karol Daniel Baran

Politechnika Gdańska

Call: PRELUDIUM 22, Panel: ST5

142. Where to look next - guiding active visual exploration with internal model uncertainty

Principal investigator: Adam Jacek Pardyl

IDEAS NCBR Sp. z o.o.

Call: PRELUDIUM 22, Panel: ST6

143. 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

144. Multimodal Deep Learning for Noninvasive Pulmonary Hypertension Diagnosis from Magnetic Resonance Imaging

Principal investigator: Michał Kazimierz Grzeszczyk

Sano - Centrum Zindywidualizowanej Medycyny Obliczeniowej - Międzynarodowa Fundacja Badawcza

Call: PRELUDIUM 22, Panel: ST6

145. Data ownership and privacy meet generative neural networks

Principal investigator: dr hab. Paweł Kacper Morawiecki

Instytut Podstaw Informatyki PAN

Call: OPUS 25, Panel: ST6

146. Meta-learning in Deep Neural Networks

Principal investigator: prof. Jacek Tabor

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Call: OPUS 25, Panel: ST6

147. 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

148. Building a scalable WILDlife monitoring system by integrating remote camera sampling and artificial INTELligence with Es…

Principal investigator: dr hab. Nuria Selva Fernandez

Instytut Ochrony Przyrody PAN

Call: BiodivMon, Panel: NZ8

149. Evolutionary-scale interpretation of protein functions in the human gut microbiome

Principal investigator: dr Tomasz Kościółek

Uniwersytet Jagielloński, Małopolskie Centrum Biotechnologii Uniwersytetu Jagiellońskiego

Call: WEAVE-UNISONO, Panel: NZ2

150. Understanding the exaptation of tissue-specific enhancers by modeling the changes of spatial chromatin architecture.

Principal investigator: prof. Anna Barbara Gambin

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

Call: PRELUDIUM BIS 4, Panel: ST6

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