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Aleksandra Gruca
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2020 – today
- 2023
- [e6]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - 2022
- [j10]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) - [j9]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): 1773-1775 (2022) - [e5]Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi:
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3207, CEUR-WS.org 2022 [contents] - [i3]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 abs/2203.17070 (2022) - 2021
- [j8]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): 182 (2021) - [c24]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: 5750-5757 - [c23]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: 4878-4879 - [c22]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: 97-112 - [c21]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: 292-313 - 2020
- [j7]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): 458-472 (2020) - [j6]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): W77-W84 (2020) - [c20]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: 325-343 - [e4]Aleksandra Gruca, Tadeusz Czachórski, Sebastian Deorowicz, Katarzyna Harezlak, Agnieszka Piotrowska:
Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019. Advances in Intelligent Systems and Computing 1061, Springer 2020, ISBN 978-3-030-31963-2 [contents] - [i2]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 abs/2011.12247 (2020) - [i1]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: 1398 (2020)
2010 – 2019
- 2019
- [c19]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: 169-180 - [c18]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: 232-241 - [c17]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: 152-165 - 2018
- [e3]Aleksandra Gruca, Tadeusz Czachórski, Katarzyna Harezlak, Stanislaw Kozielski, Agnieszka Piotrowska:
Man-Machine Interactions 5 - 5th International Conference on Man-Machine Interactions, ICMMI 2017, Kraków, Poland, October 3-6, 2017. Advances in Intelligent Systems and Computing 659, Springer 2018, ISBN 978-3-319-67791-0 [contents] - 2017
- [j5]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): 23:1-23:14 (2017) - [c16]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: 125-136 - [c15]Krzysztof Szymiczek, Aleksandra Gruca, Andrzej Polanski:
CCES: Cancer Clonal Evolution Simulation Program. ICMMI 2017: 172-181 - 2016
- [c14]Pawel Foszner, Aleksandra Gruca, Jakub Bularz:
Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems. ICDM 2016: 297-310 - [e2]Aleksandra Gruca, Agnieszka Brachman, Stanislaw Kozielski, Tadeusz Czachórski:
Man-Machine Interactions 4 - 4th International Conference on Man-Machine Interactions, ICMMI 2015, Kocierz Pass, Poland, October 6-9, 2015. Advances in Intelligent Systems and Computing 391, Springer 2016, ISBN 978-3-319-23436-6 [contents] - 2015
- [c13]Aleksandra Gruca, Katarzyna Harezlak, Pawel Kasprowski:
Application of Dimensionality Reduction Methods for Eye Movement Data Classification. ICMMI 2015: 291-303 - 2014
- [j4]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: 201-218 (2014) - [c12]Aleksandra Gruca, Przemyslaw Podsiadlo:
Performance Analysis of .NET Based Object-Relational Mapping Frameworks. BDAS 2014: 40-49 - [c11]Michal Kozielski, Aleksandra Gruca:
Soft Approach to Identification of Cohesive Clusters in Two Gene Representations. KES 2014: 281-289 - [e1]Aleksandra Gruca, Tadeusz Czachórski, Stanislaw Kozielski:
Man-Machine Interactions 3, Proceedings of the 3rd International Conference on Man-Machine Interactions, ICMMI 2013, Brenna, Poland, October 22-25, 2013. Advances in Intelligent Systems and Computing 242, Springer 2014, ISBN 978-3-319-02308-3 [contents] - 2013
- [c10]Aleksandra Gruca:
Improvement of FP-Growth Algorithm for Mining Description-Oriented Rules. ICMMI 2013: 183-192 - 2012
- [c9]Aleksandra Gruca, Marek Sikora:
Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Description of Genes. AIMSA 2012: 125-134 - 2011
- [j3]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): 293-301 (2011) - [j2]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): 258-269 (2011) - [c8]Pawel Foszner, Aleksandra Gruca, Andrzej Polanski:
Efficient System for Clustering of Dynamic Document Database. CDVE 2011: 186-189 - [c7]Pawel Foszner, Aleksandra Gruca, Andrzej Polanski, Michal Marczyk, Roman Jaksik, Joanna Polanska:
Efficient Algorithm for Microarray Probes Re-annotation. ICCCI (2) 2011: 281-289 - [c6]Aleksandra Gruca, Michal Kozielski:
Correlation of Genes Similarity Measures Based on GO Terms Similarity and Gene Expression Values. ICMMI 2011: 137-144 - [c5]Michal Kozielski, Aleksandra Gruca:
Evaluation of Semantic Term and Gene Similarity Measures. PReMI 2011: 406-411 - 2010
- [j1]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): 555-570 (2010) - [c4]Pawel Foszner, Aleksandra Gruca, Joanna Polanska:
Distant Analysis of the GENEPI-ENTB Databank - System Overview. CN 2010: 245-252
2000 – 2009
- 2009
- [c3]Aleksandra Gruca, Marek Sikora, Lukasz Chrost, Andrzej Polanski:
RULEGO Bioinformatical Internet Service - System Architecture. CN 2009: 160-167 - [c2]Aleksandra Gruca, Michal Kozielski, Marek Sikora:
Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups. ICMMI 2009: 141-149 - 2008
- [c1]Przemyslaw Skurowski, Aleksandra Gruca:
Image Quality Assessment Using Phase Spectrum Correlation. ICCVG 2008: 80-89
Coauthor Index
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