Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection. - Dayananda Herurkar; Shoya Ishimaru; Andreas Dengel 001 (UbiComp/ISWC Adjunct, 2018)

ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs. - Dayananda Herurkar; Philipp Blandfort; Federico Raue; Jörn Hees; Andreas Dengel 001 (IJCNN, 2021)

Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data. - Timur Sattarov; Dayananda Herurkar; Jörn Hees (CoRR, 2022)

Cross-Domain Transformation for Outlier Detection on Tabular Datasets. - Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel 001 (IJCNN, 2023)

RECol: Reconstruction Error Columns for Outlier Detection. - Dayananda Herurkar; Mario Meier; Jörn Hees (KI, 2023)

Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection. - Dayananda Herurkar; Federico Raue; Andreas Dengel 001 (ICAIF, 2024)

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data. - Dayananda Herurkar; Sebastian Palacio; Ahmed Anwar; Jörn Hees; Andreas Dengel 001 (CoRR, 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 001 (CoRR, 2024)

Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data. - Dayananda Herurkar; Jörn Hees; Vesselin Tzvetkov; Andreas Dengel 001 (CoRR, 2025)

Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking. - Dayananda Herurkar; Ahmad Ali; Andreas Dengel 001 (CoRR, 2025)