David P. Kreil

31 papers A* 2A 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bottlenecks in advancing and applying multiomic data integration - common data resources as rate-limiting drivers - the high-impact use case of atherosclerotic cardiovascular disease. Briefings Bioinform. Stephanie Bezzina Wettinger, Kanita Karaduzovic-Hadziabdic, Ritienne Attard, Rosienne Farrugia, Brooke N. Wolford, Marco Chierici, Giuseppe Jurman, Panagiotis Alexiou, José L. Peñalvo, Rafael S. Costa, José Basilio, Frantisek Sabovcik, Rui Vitorino, Johannes A. Schmid, Rajesh Shigdel, Baiba Vilne, Artemis G. Hatzigeorgiou, Miron Sopic, Yvan Devaux, Paolo Magni, Maria Tellez-Plaza, David P. Kreil, Aleksandra Gruca
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2022	A*	`conf`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. NeurIPS Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
2022	J	`jnl`	Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. CoRR Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022	J	`jnl`	Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil
2022	—	`conf`	The Landslide4Sense Competition 2022. CDCEO@IJCAI Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter
2022	J	`jnl`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR 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 Le 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
2021	A	`conf`	CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil
2021	J	`jnl`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. CoRR Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
2021	—	`conf`	High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. IEEE BigData Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil
2021	A*	`conf`	Hopfield Networks is All You Need. ICLR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2021	—	`conf`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 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 Le 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
2021	—	`conf`	Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	—	`conf`	Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Cross-Domain Few-Shot Learning by Representation Fusion. CoRR Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
2020	J	`jnl`	Hopfield Networks is All You Need. CoRR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2020	—	`conf`	Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) 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
2019	—	`conf`	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) David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter
2013	J	`jnl`	Managing and Optimizing Bioinformatics Workflows for Data Analysis in Clouds. J. Grid Comput. Vincent C. Emeakaroha, Michael Maurer, Patrick Stern, Pawel P. Labaj, Ivona Brandic, David P. Kreil
2011	J	`jnl`	An analysis of single amino acid repeats as use case for application specific background models. BMC Bioinform. Pawel P. Labaj, Peter Sykacek, David P. Kreil
2011	J	`jnl`	Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling. Bioinform. Pawel P. Labaj, Germán G. Leparc, Bryan E. Linggi, Lye Meng Markillie, H. Steven Wiley, David P. Kreil
2011	—	`conf`	Optimizing bioinformatics workflows for data analysis using cloud management techniques. WORKS@SC Vincent C. Emeakaroha, Pawel P. Labaj, Michael Maurer, Ivona Brandic, David P. Kreil
2011	J	`jnl`	The impact of quantitative optimization of hybridization conditions on gene expression analysis. BMC Bioinform. Peter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem
2010	J	`jnl`	Hybridization thermodynamics of NimbleGen Microarrays. BMC Bioinform. Ulrike Mückstein, Germán G. Leparc, Alexandra Posekany, Ivo L. Hofacker, David P. Kreil
2008	J	`jnl`	BibGlimpse: The case for a light-weight reprint manager in distributed literature research. BMC Bioinform. Thomas Tüchler, Golda Velez, Alexandra Graf, David P. Kreil
2005	J	`jnl`	There is no silver bullet - a guide to low-level data transforms and normalisation methods for microarray data. Briefings Bioinform. David P. Kreil, Roslin Russell
2004	J	`jnl`	DNA microarray normalization methods can remove bias from differential protein expression analysis of 2D difference gel electrophoresis results. Bioinform. David P. Kreil, Natasha A. Karp, Kathryn S. Lilley
2003	J	`jnl`	Comparison of sequence masking algorithms and the detection of biased protein sequence regions. Bioinform. David P. Kreil, Christos A. Ouzounis
2003	—	`conf`	Quantitative microarray spot profile optimization: A systematic evaluation of buffer/slide combinations. German Conference on Bioinformatics David P. Kreil, Richard P. Auburn, Lisa A. Meadows, Steven Russell, Gos Micklem
2000	J	`jnl`	CAST: an iterative algorithm for the complexity analysis of sequence tracts. Bioinform. Vasilis J. Promponas, Anton J. Enright, Sophia Tsoka, David P. Kreil, Christophe Leroy, Stavros J. Hamodrakas, Chris Sander, Christos A. Ouzounis
1999	—	`conf`	Facilitating context-sensitive queries: A tool to rephrase SWISS-PROT. German Conference on Bioinformatics Steffen Möller, Michael J. Wise, David P. Kreil, Michael Schroeder, D. Gilbest, Rolf Apweiler