Dominik Filipiak

27 papers A* 1C 1Journal 11Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting.
CoRR
Michael Banf, Dominik Filipiak, Max Schattauer, Liliya Imasheva
2025 A* conf
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods.
AAAI
Piotr Tempczyk, Lukasz Garncarek, Dominik Filipiak, Adam Kurpisz
2025 J jnl
TopoBench: A Framework for Benchmarking Topological Deep Learning.
J. Data-centric Mach. Learn. Res.
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024 J jnl
A Wiener process perspective on local intrinsic dimension estimation methods.
CoRR
Piotr Tempczyk, Lukasz Garncarek, Dominik Filipiak, Adam Kurpisz
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 J jnl
KGTN-ens: few-shot image classification with knowledge graph ensembles.
Appl. Intell.
Dominik Filipiak, Anna Fensel, Agata Filipowska
2024 J jnl
Polite Teacher: Semi-Supervised Instance Segmentation With Mutual Learning and Pseudo-Label Thresholding.
IEEE Access
Dominik Filipiak, Andrzej Zapala, Piotr Tempczyk, Anna Fensel, Marek Cygan
2022 J jnl
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles.
CoRR
Dominik Filipiak, Anna Fensel, Agata Filipowska
2022 J jnl
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding.
CoRR
Dominik Filipiak, Andrzej Zapala, Piotr Tempczyk, Anna Fensel, Marek Cygan
2021 — conf
Mapping of ImageNet and Wikidata for Knowledge Graphs Enabled Computer Vision.
BIS
Dominik Filipiak, Anna Fensel, Agata Filipowska
2021 C conf
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers.
ISM
Jorge Martinez-Gil, Georg Buchgeher, David Gabauer, Bernhard Freudenthaler, Dominik Filipiak, Anna Fensel
2021 — conf
Towards Reusable Ontology Alignment for Manufacturing Maintenance.
SEMANTiCS (Posters & Demos)
Marco Kainzner, Christoph Klösch, Dominik Filipiak, Tek Raj Chhetri, Anna Fensel, Jorge Martinez-Gil
2021 J jnl
n-CPS: Generalising Cross Pseudo Supervision to n networks for Semi-Supervised Semantic Segmentation.
CoRR
Dominik Filipiak, Piotr Tempczyk, Marek Cygan
2020 — conf
Data Quality Assessment - A Use Case from the Maritime Domain.
BIS (Workshops)
Milena Strózyna, Dominik Filipiak, Krzysztof Wecel
2020 J jnl
Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm.
Bus. Inf. Syst. Eng.
Dominik Filipiak, Krzysztof Wecel, Milena Strózyna, Michal Michalak, Witold Abramowicz
2019 — conf
Introduction to Text Analytics.
eBISS
Agata Filipowska, Dominik Filipiak
2018 J jnl
A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain.
Electron. Mark.
Milena Strózyna, Gerd Eiden, Witold Abramowicz, Dominik Filipiak, Jacek Malyszko, Krzysztof Wecel
2018 — conf
Profiling User Colour Preferences with BFI-44 Personality Traits.
BIS (Workshops)
Magdalena Wieloch, Katarzyna Kabzinska, Dominik Filipiak, Agata Filipowska
2018 — conf
Semantic Image-Based Profiling of Users' Interests with Neural Networks.
ISWC (Best Workshop Papers)
Szymon Wieczorek, Dominik Filipiak, Agata Filipowska
2016 — conf
A Methodology for Quality-Based Selection of Internet Data Sources in Maritime Domain.
BIS
Milena Strózyna, Gerd Eiden, Dominik Filipiak, Jacek Malyszko, Krzysztof Wecel
2016 — conf
Improving the Quality of Art Market Data Using Linked Open Data and Machine Learning.
BIS (Workshops)
Dominik Filipiak, Agata Filipowska
2016 — conf
Quantitative Analysis of Art Market Using Ontologies, Named Entity Recognition and Machine Learning: A Case Study.
BIS
Dominik Filipiak, Henning Agt-Rickauer, Christian Hentschel, Agata Filipowska, Harald Sack
2015 — conf
DBpedia in the Art Market.
BIS (Workshops)
Dominik Filipiak, Agata Filipowska
2015 — conf
Semantic Annotation to Support Description of the Art Market.
SEMANTiCS (Posters & Demos)
Dominik Filipiak, Krzysztof Wecel, Agata Filipowska
2014 — conf
Efficient Search and Browsing of CSV Datasets.
SEMANTiCS (Posters & Demos)
Agata Filipowska, Krzysztof Wecel, Dominik Filipiak
2014 — conf
Generating Semantic Media Wiki Content from Domain Ontologies.
SWCS@ISWC
Dominik Filipiak, Agnieszka Lawrynowicz