Dayananda Herurkar

According to our database, Dayananda Herurkar authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.

Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel

CoRR, 2024

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data.

Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel

CoRR, 2024

Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection.

Dayananda Herurkar, Federico Raue, Andreas Dengel

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

RECol: Reconstruction Error Columns for Outlier Detection.

Dayananda Herurkar, Mario Meier, Jörn Hees

Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

Cross-Domain Transformation for Outlier Detection on Tabular Datasets.

Dayananda Herurkar, Timur Sattarov, Jörn Hees, Sebastian Palacio, Federico Raue, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data.

Timur Sattarov, Dayananda Herurkar, Jörn Hees

CoRR, 2022

2021

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs.

Dayananda Herurkar, Philipp Blandfort, Federico Raue, Jörn Hees, Andreas Dengel

Proceedings of the International Joint Conference on Neural Networks, 2021

2018

Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection.

Dayananda Herurkar, Shoya Ishimaru, Andreas Dengel

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018