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2020 – today
- 2024
[j14]Yan Cathy Hua
, Paul Denny, Jörg Wicker, Katerina Taskova:
A systematic review of aspect-based sentiment analysis: domains, methods, and trends. Artif. Intell. Rev. 57(11): 296 (2024)- [j13]Derek Long, Liam Eade, Matthew P. Sullivan, Katharina Dost, Samuel M. Meier-Menches, David C. Goldstone, Christian G. Hartinger, Jörg S. Wicker, Katerina Taskova:
AdductHunter: identifying protein-metal complex adducts in mass spectra. J. Cheminformatics 16(1): 15 (2024) - [j12]Jasmin Hafner, Tim Lorsbach, Sebastian Schmidt, Liam Brydon, Katharina Dost, Kunyang Zhang, Kathrin Fenner, Jörg Wicker:
Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. J. Cheminformatics 16(1): 93 (2024) - [j11]Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker:
Forecasting severe respiratory disease hospitalizations using machine learning algorithms. BMC Medical Informatics Decis. Mak. 24(1): 293 (2024) - [j10]Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker:
Hitting the target: stopping active learning at the cost-based optimum. Mach. Learn. 113(4): 1529-1547 (2024) - [j9]Jiachen Lyu, Katharina Dost, Yun Sing Koh, Jörg Wicker:
Regional bias in monolingual English language models. Mach. Learn. 113(9): 6663-6696 (2024) - [j8]Joshua Bensemann, Hasnain Cheena, David Tse Jung Huang, Elizabeth Broadbent, Jonathan Williams, Jörg Wicker:
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath. IEEE Trans. Affect. Comput. 15(2): 465-477 (2024) - [c23]Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann:
Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach. IJCAI 2024: 7287-7295 - [c22]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
Attacking the Loop: Adversarial Attacks on Graph-Based Loop Closure Detection. VISIGRAPP (4): VISAPP 2024: 90-97 - [i10]Olivier Graffeuille, Yun Sing Koh, Jörg S. Wicker, Moritz K. Lehmann:
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries. CoRR abs/2410.15875 (2024) - 2023
- [j7]Katharina Dost, Zac Pullar-Strecker, Liam Brydon, Kunyang Zhang, Jasmin Hafner, Patricia J. Riddle, Jörg S. Wicker:
Combatting over-specialization bias in growing chemical databases. J. Cheminformatics 15(1): 53 (2023) - [c21]Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker:
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) 2023: 3-14 - [c20]Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Targeted Attacks on Time Series Forecasting. PAKDD (4) 2023: 314-327 - [c19]Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker:
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) 2023: 310-314 - [i9]Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker:
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. CoRR abs/2304.09175 (2023) - [i8]Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Fast Adversarial Label-Flipping Attack on Tabular Data. CoRR abs/2310.10744 (2023) - [i7]Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker:
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR abs/2310.16224 (2023) - [i6]Yan Cathy Hua, Paul Denny, Katerina Taskova, Jörg Wicker:
A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends. CoRR abs/2311.10777 (2023) - [i5]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection. CoRR abs/2312.06991 (2023) - 2022
- [c18]Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann:
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. AAAI 2022: 6746-6754 - [c17]Nooriyan Poonawala-Lohani, Patricia Riddle, Mehnaz Adnan, Jörg Wicker:
Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness. BCB 2022: 42:1-42:7 - [c16]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes. IROS 2022: 4352-4358 - [c15]Katharina Dost, Hamish Duncanson, Ioannis Ziogas, Patricia Riddle, Jörg Wicker:
Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Bias. PAKDD (2) 2022: 149-160 - [i4]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes. CoRR abs/2209.11894 (2022) - 2021
- [j6]Tomaz Stepisnik, Blaz Skrlj, Jörg Wicker, Dragi Kocev:
A comprehensive comparison of molecular feature representations for use in predictive modeling. Comput. Biol. Medicine 130: 104197 (2021) - [j5]Jason Y. C. Tam, Tim Lorsbach, Sebastian Schmidt, Jörg Wicker:
Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products. J. Cheminformatics 13(1): 63 (2021) - [c14]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words. IROS 2021: 5425 - [i3]Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker:
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR abs/2105.00495 (2021) - [i2]Zac Pullar-Strecker, Katharina Dost, Eibe Frank, Jörg Wicker:
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum. CoRR abs/2110.03802 (2021) - [i1]Jonathan J. Y. Kim, Martin Urschler, Patricia J. Riddle, Jörg S. Wicker:
SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words. CoRR abs/2110.11491 (2021) - 2020
- [c13]Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker:
Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. ICDM 2020: 996-1001 - [c12]Andrew Chester, Yun Sing Koh, Jörg Wicker, Quan Sun, Junjae Lee:
Balancing Utility and Fairness against Privacy in Medical Data. SSCI 2020: 1226-1233
2010 – 2019
- 2019
- [c11]Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer:
XOR-Based Boolean Matrix Decomposition. ICDM 2019: 638-647 - [c10]Samuel Roeslin, Quincy Ma, Jörg Wicker, Liam Wotherspoon:
Data Integration for the Development of a Seismic Loss Prediction Model for Residential Buildings in New Zealand. PKDD/ECML Workshops (2) 2019: 88-100 - 2017
- [j4]Jörg Wicker, Stefan Kramer:
The best privacy defense is a good privacy offense: obfuscating a search engine user's profile. Data Min. Knowl. Discov. 31(5): 1419-1443 (2017) - 2016
- [j3]Jörg Wicker, Tim Lorsbach, Martin Gütlein, Emanuel Schmid, Diogo Latino, Stefan Kramer, Kathrin Fenner:
enviPath - The environmental contaminant biotransformation pathway resource. Nucleic Acids Res. 44(Database-Issue): 502-508 (2016) - [c9]Jörg Wicker, Andrey Tyukin, Stefan Kramer:
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. PAKDD (1) 2016: 328-340 - [c8]Atif Raza, Jörg Wicker, Stefan Kramer:
Trading off accuracy for efficiency by randomized greedy warping. SAC 2016: 883-890 - [p2]Jörg Wicker, Kathrin Fenner, Stefan Kramer:
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. Computational Sustainability 2016: 75-97 - 2015
- [c7]Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer:
Cinema Data Mining: The Smell of Fear. KDD 2015: 1295-1304 - [c6]Andrey Tyukin, Stefan Kramer, Jörg Wicker:
Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. ECML/PKDD (3) 2015: 325-328 - 2014
- [c5]Andrey Tyukin, Stefan Kramer, Jörg Wicker:
BMaD - A Boolean Matrix Decomposition Framework. ECML/PKDD (3) 2014: 481-484 - 2013
- [b1]Jörg Wicker:
Large classifier systems in bio- and cheminformatics. Technical University Munich, 2013, pp. 1-177 - 2012
- [c4]Jörg Wicker, Bernhard Pfahringer, Stefan Kramer:
Multi-label classification using boolean matrix decomposition. SAC 2012: 179-186 - 2010
- [j2]Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer:
Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. Bioinform. 26(6): 814-821 (2010) - [j1]Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher:
Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010) - [p1]Jörg Wicker, Lothar Richter, Stefan Kramer:
SINDBAD and SiQL: Overview, Applications and Future Developments. Inductive Databases and Constraint-Based Data Mining 2010: 289-309
2000 – 2009
- 2008
- [c3]Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer:
An inductive database and query language in the relational model. EDBT 2008: 740-744 - [c2]Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer:
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. ECML/PKDD (2) 2008: 690-694 - 2005
- [c1]Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter:
Inductive Databases in the Relational Model: The Data as the Bridge. KDID 2005: 124-138
Coauthor Index
aka: Patricia Riddle
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