Aleksandra Gruca

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 20

Top Topics

Dimensionality Reduction

Impedance Mismatch

Top Venues

NeurIPS (Competition and Demos)

Briefings Bioinform.

Publications

Patryk Jarnot, Joanna Ziemska-Legiecka, Marcin Grynberg, Aleksandra Gruca
Insights from analyses of low complexity regions with canonical methods for protein sequence comparison. Briefings Bioinform. 23 (5) (2022)
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR (2022)
Aleksandra Gruca, Joanna Henzel, Iwona Kostorz, Tomasz Steclik, Lukasz Wróbel, Marek Sikora
MAINE: a web tool for multi-omics feature selection and rule-based data exploration. Bioinform. 38 (6) (2022)
Aleksandra Gruca, Joanna Ziemska-Legiecka, Patryk Jarnot, Elzbieta Sarnowska, Tomasz J. Sarnowski, Marcin Grynberg
Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development. BMC Bioinform. 22 (1) (2021)
Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM (2021)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K Kopp, Sepp Hochreiter, David P. Kreil
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) (2021)
Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. IEEE BigData (2021)
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) (2021)
Susanne Hollmann, Andreas Kremer, Spela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. A. Evelo, Alina S. Nechyporenko, Marcus Frohme, David Safránek, Babette Regierer, Domenica D'Elia
The need for standardisation in life science research - an approach to excellence and trust. F1000Research 9 (2020)
Pablo Mier, Lisanna Paladin, Stella Tamana, Sophia Petrosian, Borbála Hajdu-Soltész, Annika Urbanek, Aleksandra Gruca, Dariusz Plewczynski, Marcin Grynberg, Pau Bernadó, Zoltán Gáspári, Christos A. Ouzounis, Vasilis J. Promponas, Andrey V. Kajava, John M. Hancock, Silvio C. E. Tosatto, Zsuzsanna Dosztányi, Miguel A. Andrade-Navarro
Disentangling the complexity of low complexity proteins. Briefings Bioinform. 21 (2) (2020)
Joanna Henzel, Joanna Tobiasz, Michal Kozielski, Malgorzata Bach, Pawel Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora
Classification supporting COVID-19 diagnostics based on patient survey data. CoRR (2020)
Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) (2020)
Patryk Jarnot, Joanna Ziemska-Legiecka, Laszlo Dobson, Matthew Merski, Pablo Mier, Miguel A. Andrade-Navarro, John M. Hancock, Zsuzsanna Dosztányi, Lisanna Paladin, Marco Necci, Damiano Piovesan, Silvio C. E. Tosatto, Vasilis J. Promponas, Marcin Grynberg, Aleksandra Gruca
PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins. Nucleic Acids Res. 48 (Webserver-Issue) (2020)
Krzysztof Psiuk-Maksymowicz, Roman Jaksik, Aleksander Placzek, Aleksandra Gruca, Sebastian Student, Damian Borys, Dariusz Mrozek, Krzysztof Fujarewicz, Andrzej Swierniak
BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data. PCBBE (2019)
David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) (2019)
Patryk Jarnot, Joanna Ziemska-Legiecka, Marcin Grynberg, Aleksandra Gruca
LCR-BLAST - A New Modification of BLAST to Search for Similar Low Complexity Regions in Protein Sequences. ICMMI (2019)
Aleksandra Gruca, Marek Sikora
Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets. J. Biomed. Semant. 8 (1) (2017)
Krzysztof Szymiczek, Aleksandra Gruca, Andrzej Polanski
CCES: Cancer Clonal Evolution Simulation Program. ICMMI (2017)
Aleksandra Gruca, Roman Jaksik, Krzysztof Psiuk-Maksymowicz
Functional Interpretation of Gene Sets: Semantic-Based Clustering of Gene Ontology Terms on the BioTest Platform. ICMMI (2017)
Pawel Foszner, Aleksandra Gruca, Jakub Bularz
Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems. ICDM (2016)
Aleksandra Gruca, Katarzyna Harezlak, Pawel Kasprowski
Application of Dimensionality Reduction Methods for Eye Movement Data Classification. ICMMI (2015)
Pawel Foszner, Aleksandra Gruca, Andrzej Polanski, Michal Marczyk, Roman Jaksik, Joanna Polanska
An Efficient Algorithm for Microarray Probes Re-annotation. Trans. Comput. Collect. Intell. 13 (2014)
Michal Kozielski, Aleksandra Gruca
Soft Approach to Identification of Cohesive Clusters in Two Gene Representations. KES (2014)
Aleksandra Gruca, Przemyslaw Podsiadlo
Performance Analysis of .NET Based Object-Relational Mapping Frameworks. BDAS (2014)
Aleksandra Gruca
Improvement of FP-Growth Algorithm for Mining Description-Oriented Rules. ICMMI (2013)
Aleksandra Gruca, Marek Sikora
Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Description of Genes. AIMSA (2012)
Pawel Foszner, Aleksandra Gruca, Andrzej Polanski, Michal Marczyk, Roman Jaksik, Joanna Polanska
Efficient Algorithm for Microarray Probes Re-annotation. ICCCI (2) (2011)
Marek Sikora, Aleksandra Gruca
Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups. Pattern Recognit. Lett. 32 (2) (2011)
Aleksandra Gruca, Michal Kozielski
Correlation of Genes Similarity Measures Based on GO Terms Similarity and Gene Expression Values. ICMMI (2011)
Aleksandra Gruca, Marek Sikora, Andrzej Polanski
RuleGO: a logical rules-based tool for description of gene groups by means of Gene Ontology. Nucleic Acids Res. 39 (Web-Server-Issue) (2011)
Pawel Foszner, Aleksandra Gruca, Andrzej Polanski
Efficient System for Clustering of Dynamic Document Database. CDVE (2011)
Michal Kozielski, Aleksandra Gruca
Evaluation of Semantic Term and Gene Similarity Measures. PReMI (2011)
Marek Sikora, Aleksandra Gruca
Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules. Int. J. Appl. Math. Comput. Sci. 20 (3) (2010)
Pawel Foszner, Aleksandra Gruca, Joanna Polanska
Distant Analysis of the GENEPI-ENTB Databank - System Overview. CN (2010)
Aleksandra Gruca, Marek Sikora, Lukasz Chrost, Andrzej Polanski
RULEGO Bioinformatical Internet Service - System Architecture. CN (2009)
Aleksandra Gruca, Michal Kozielski, Marek Sikora
Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups. ICMMI (2009)
Przemyslaw Skurowski, Aleksandra Gruca
Image Quality Assessment Using Phase Spectrum Correlation. ICCVG (2008)