Daniel Karl I. Weidele

@ Pfahlbautenmuseum Unteruhldingen, Germany (2015)

IBM watsonx.data Tech Preview

Weidele, Daniel Karl I., Mauro Martino, Gaetano Rossiello, Lisa Amini et al.

IBM THINK 2023

AutoDOViz: Human-Centered Automation for Decision Optimization

Weidele, Daniel Karl I., Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian et al.

In Proceedings of the 28th International Conference on Intelligent User Interfaces, pp. 664-680. 2023

Semantic Feature Discovery with Code Mining and Semantic Type Detection

Srinivas, Kavitha, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, and Lisa Amini

In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 11, pp. 13224-13226. 2022

Fiberstars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

Franke, Loraine, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin-Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, and Daniel Haehn

In 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), pp. 116-125. IEEE, 2021

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates

Weidele, Daniel Karl I., Justin D. Weisz, Erick Oduor, Michael Muller, Josh Andres, Alexander Gray, and Dakuo Wang

In Proceedings of the 25th International Conference on Intelligent User Interfaces, pp. 308-312. 2020

Anti-money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Weber, Mark, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, and Charles E. Leiserson

arXiv preprint arXiv:1908.02591 (2019)

Conditional Parallel Coordinates

Weidele, Daniel Karl I.

In 2019 IEEE Visualization Conference (VIS), pp. 221-225. IEEE, 2019

δeepling: A Visual Interpretability System for Convolutional Neural Networks

Weidele, Daniel Karl I., Hendrik Strobelt, and Mauro Martino

In Proceedings SysML (2019)

On graphical representations of similarity in geo-temporal frequency data

Weidele, Daniel, Mereke van Garderen, Mark Golitko, Gary M. Feinman, and Ulrik Brandes

Journal of Archaeological Science 72 pp. 105-116, 2016

Social-aware Matrix Factorization for Recommender Systems

Weidele, Daniel Karl I.

Master Thesis (2013)

Considering Words in Tag Recommendation

Weidele, Daniel Karl I.

Master Project (2012)

Abstract Transition Visualizer: An Extendable Geo-Spatial Data Exploration Framework

Weidele, Daniel Karl I.

Bachelor Thesis (2010)

Patent US20220036610A1

Visualization of a model selection process in an automated model selection system

Patent US11620550B2

Automated data table discovery for automated machine learning

Patent US20210134031A1

Conditional parallel coordinates

Patent US11763084B2

Automatic formulation of data science problem statements

Patent US11556816B2

Conditional parallel coordinates in automated artificial intelligence with constraints

Patent US20230177032A1

Performing automated semantic feature discovery

Patent US20220366269A1

Interactive feature engineering in automatic machine learning with domain knowledge

Patent US20220043978A1

Automatic formulation of data science problem statements