Sebastian Raschka

According to our database, Sebastian Raschka authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities.

Xintong Shi, Wenzhi Cao, Sebastian Raschka

Pattern Anal. Appl., August, 2023

2022

PrivacyNet results: obfuscated face images.

Vahid Mirjalili, Sebastian Raschka, Arun Ross

Dataset, May, 2022

Ten quick tips for deep learning in biology.

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

PLoS Comput. Biol., 2022

When Few-Shot Learning Meets Video Object Detection.

Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Ten Quick Tips for Deep Learning in Biology.

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

CoRR, 2021

Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme.

Zhongjie Yu, Gaoang Wang, Lin Chen, Sebastian Raschka, Jiebo Luo

CoRR, 2021

Visual Framing of Science Conspiracy Videos: Integrating Machine Learning with Communication Theories to Study the Use of Color and Brightness.

Kaiping Chen, Sang Jung Kim, Sebastian Raschka, Qiantong Gao

CoRR, 2021

Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course.

Sebastian Raschka

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

2020

PrivacyNet: Semi-Adversarial Networks for Multi-Attribute Face Privacy.

Vahid Mirjalili, Sebastian Raschka, Arun Ross

IEEE Trans. Image Process., 2020

Rank consistent ordinal regression for neural networks with application to age estimation.

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka

Pattern Recognit. Lett., 2020

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence.

Sebastian Raschka, Joshua Patterson, Corey Nolet

Inf., 2020

Looking Back to Lower-Level Information in Few-Shot Learning.

Zhongjie Yu, Sebastian Raschka

Inf., 2020

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition.

Sebastian Raschka, Benjamin Kaufman

CoRR, 2020

2019

Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks.

Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka

CoRR, 2019

FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers.

Vahid Mirjalili, Sebastian Raschka, Arun Ross

IEEE Access, 2019

2018

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack.

Sebastian Raschka

J. Open Source Softw., 2018

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.

Sebastian Raschka, Alex J. Wolf, Joseph Bemister-Buffington, Leslie A. Kuhn

J. Comput. Aided Mol. Des., 2018

Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control.

Sebastian Raschka, Anne M. Scott, Nan Liu, Santosh Gunturu, Mar Huertas, Weiming Li, Leslie A. Kuhn

J. Comput. Aided Mol. Des., 2018

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning.

Sebastian Raschka

CoRR, 2018

Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images.

Vahid Mirjalili, Sebastian Raschka, Anoop M. Namboodiri, Arun Ross

Proceedings of the 2018 International Conference on Biometrics, 2018

Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers.

Vahid Mirjalili, Sebastian Raschka, Arun Ross

Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018

2017

BioPandas: Working with molecular structures in pandas DataFrames.

Sebastian Raschka

J. Open Source Softw., 2017

2016

MusicMood: Predicting the mood of music from song lyrics using machine learning.

Sebastian Raschka

CoRR, 2016

2014

An Overview of General Performance Metrics of Binary Classifier Systems.

Sebastian Raschka

CoRR, 2014

Naive Bayes and Text Classification I - Introduction and Theory.

Sebastian Raschka

CoRR, 2014