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Sebastian Raschka
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2020 – today
- 2023
- [j11]Xintong Shi, Wenzhi Cao, Sebastian Raschka:
Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. Pattern Anal. Appl. 26(3): 941-955 (2023) - 2022
- [j10]Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca:
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18(3) (2022) - [c4]Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo:
When Few-Shot Learning Meets Video Object Detection. ICPR 2022: 2986-2992 - [d1]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
PrivacyNet results: obfuscated face images. IEEE DataPort, 2022 - 2021
- [c3]Sebastian Raschka:
Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course. Teaching ML 2021: 46-50 - [i17]Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao:
Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. CoRR abs/2102.01163 (2021) - [i16]Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo:
Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme. CoRR abs/2103.14724 (2021) - [i15]Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca:
Ten Quick Tips for Deep Learning in Biology. CoRR abs/2105.14372 (2021) - [i14]Sebastian Raschka:
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course. CoRR abs/2107.13671 (2021) - [i13]Xintong Shi, Wenzhi Cao, Sebastian Raschka:
Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. CoRR abs/2111.08851 (2021) - 2020
- [j9]Sebastian Raschka, Joshua Patterson, Corey Nolet:
Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence. Inf. 11(4): 193 (2020) - [j8]Zhongjie Yu, Sebastian Raschka:
Looking Back to Lower-Level Information in Few-Shot Learning. Inf. 11(7): 345 (2020) - [j7]Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka:
Rank consistent ordinal regression for neural networks with application to age estimation. Pattern Recognit. Lett. 140: 325-331 (2020) - [j6]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy. IEEE Trans. Image Process. 29: 9400-9412 (2020) - [i12]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy. CoRR abs/2001.00561 (2020) - [i11]Sebastian Raschka, Benjamin Kaufman:
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition. CoRR abs/2001.06545 (2020) - [i10]Sebastian Raschka, Joshua Patterson, Corey Nolet:
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. CoRR abs/2002.04803 (2020) - [i9]Zhongjie Yu, Sebastian Raschka:
Looking back to lower-level information in few-shot learning. CoRR abs/2005.13638 (2020)
2010 – 2019
- 2019
- [j5]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers. IEEE Access 7: 99735-99745 (2019) - [i8]Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka:
Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks. CoRR abs/1901.07884 (2019) - [i7]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers. CoRR abs/1905.01388 (2019) - 2018
- [j4]Sebastian Raschka, Anne M. Scott, Nan Liu, Santosh Gunturu, Mar Huertas, Weiming Li, Leslie A. Kuhn:
Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control. J. Comput. Aided Mol. Des. 32(3): 415-433 (2018) - [j3]Sebastian Raschka, Alex J. Wolf, Joseph Bemister-Buffington, Leslie A. Kuhn:
Protein-ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and designing ligand complexes. J. Comput. Aided Mol. Des. 32(4): 511-528 (2018) - [j2]Sebastian Raschka:
MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. J. Open Source Softw. 3(24): 638 (2018) - [c2]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. BTAS 2018: 1-10 - [c1]Vahid Mirjalili, Sebastian Raschka, Anoop M. Namboodiri, Arun Ross:
Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images. ICB 2018: 82-89 - [i6]Vahid Mirjalili, Sebastian Raschka, Arun Ross:
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. CoRR abs/1807.11936 (2018) - [i5]Sebastian Raschka:
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. CoRR abs/1811.12808 (2018) - 2017
- [j1]Sebastian Raschka:
BioPandas: Working with molecular structures in pandas DataFrames. J. Open Source Softw. 2(14): 279 (2017) - [i4]Vahid Mirjalili, Sebastian Raschka, Anoop M. Namboodiri, Arun Ross:
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images. CoRR abs/1712.00321 (2017) - 2016
- [i3]Sebastian Raschka:
MusicMood: Predicting the mood of music from song lyrics using machine learning. CoRR abs/1611.00138 (2016) - 2014
- [i2]Sebastian Raschka:
Naive Bayes and Text Classification I - Introduction and Theory. CoRR abs/1410.5329 (2014) - [i1]Sebastian Raschka:
An Overview of General Performance Metrics of Binary Classifier Systems. CoRR abs/1410.5330 (2014)
Coauthor Index
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