Sebastian Raschka

32 papers B 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. Pattern Anal. Appl. Xintong Shi, Wenzhi Cao, Sebastian Raschka
2022	J	`jnl`	Ten quick tips for deep learning in biology. PLoS Comput. Biol. 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
2022	B	`conf`	When Few-Shot Learning Meets Video Object Detection. ICPR Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo
2021	J	`jnl`	Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. CoRR Xintong Shi, Wenzhi Cao, Sebastian Raschka
2021	—	`conf`	Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course. Teaching ML Sebastian Raschka
2021	J	`jnl`	Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course. CoRR Sebastian Raschka
2021	J	`jnl`	Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme. CoRR Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo
2021	J	`jnl`	Ten Quick Tips for Deep Learning in Biology. CoRR 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
2021	J	`jnl`	Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness. CoRR Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao
2020	J	`jnl`	Looking Back to Lower-Level Information in Few-Shot Learning. Inf. Zhongjie Yu, Sebastian Raschka
2020	J	`jnl`	Looking back to lower-level information in few-shot learning. CoRR Zhongjie Yu, Sebastian Raschka
2020	J	`jnl`	Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence. Inf. Sebastian Raschka, Joshua Patterson, Corey Nolet
2020	J	`jnl`	Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence. CoRR Sebastian Raschka, Joshua Patterson, Corey Nolet
2020	J	`jnl`	Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition. CoRR Sebastian Raschka, Benjamin Kaufman
2020	J	`jnl`	PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy. IEEE Trans. Image Process. Vahid Mirjalili, Sebastian Raschka, Arun Ross
2020	J	`jnl`	PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy. CoRR Vahid Mirjalili, Sebastian Raschka, Arun Ross
2020	J	`jnl`	Rank consistent ordinal regression for neural networks with application to age estimation. Pattern Recognit. Lett. Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka
2019	J	`jnl`	Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks. CoRR Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka
2019	J	`jnl`	FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers. IEEE Access Vahid Mirjalili, Sebastian Raschka, Arun Ross
2019	J	`jnl`	FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers. CoRR Vahid Mirjalili, Sebastian Raschka, Arun Ross
2018	J	`jnl`	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. Sebastian Raschka, Anne M. Scott, Nan Liu, Santosh Gunturu, Mar Huertas, Weiming Li, Leslie A. Kuhn
2018	—	`conf`	Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. BTAS Vahid Mirjalili, Sebastian Raschka, Arun Ross
2018	J	`jnl`	Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. CoRR Vahid Mirjalili, Sebastian Raschka, Arun Ross
2018	J	`jnl`	MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. J. Open Source Softw. Sebastian Raschka
2018	J	`jnl`	Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. CoRR Sebastian Raschka
2018	J	`jnl`	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. Sebastian Raschka, Alex J. Wolf, Joseph Bemister-Buffington, Leslie A. Kuhn
2018	—	`conf`	Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images. ICB Vahid Mirjalili, Sebastian Raschka, Anoop M. Namboodiri, Arun Ross
2017	J	`jnl`	BioPandas: Working with molecular structures in pandas DataFrames. J. Open Source Softw. Sebastian Raschka
2017	J	`jnl`	Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images. CoRR Vahid Mirjalili, Sebastian Raschka, Anoop M. Namboodiri, Arun Ross
2016	J	`jnl`	MusicMood: Predicting the mood of music from song lyrics using machine learning. CoRR Sebastian Raschka
2014	J	`jnl`	An Overview of General Performance Metrics of Binary Classifier Systems. CoRR Sebastian Raschka
2014	J	`jnl`	Naive Bayes and Text Classification I - Introduction and Theory. CoRR Sebastian Raschka