Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. - Hamed Hemati; Damian Borth (CoRR, 2020)

Continual Speaker Adaptation for Text-to-Speech Synthesis. - Hamed Hemati; Damian Borth (CoRR, 2021)

Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. - Hamed Hemati; Marco Schreyer; Damian Borth (CoRR, 2021)

Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. - Shijun Wang; Hamed Hemati; Jón Guðnason; Damian Borth (INTERSPEECH, 2022)

Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. - Marco Schreyer; Hamed Hemati; Damian Borth; Miklos A. Vasarhelyi (CoRR, 2022)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

Partial Hypernetworks for Continual Learning. - Hamed Hemati; Vincenzo Lomonaco; Davide Bacciu; Damian Borth (CoLLAs, 2023)

A Comprehensive Empirical Evaluation on Online Continual Learning. - Albin Soutif-Cormerais; Antonio Carta; Andrea Cossu; Julio Hurtado; Vincenzo Lomonaco; Joost van de Weijer 001; Hamed Hemati (ICCV (Workshops), 2023)

Avalanche: A PyTorch Library for Deep Continual Learning. - Antonio Carta; Lorenzo Pellegrini; Andrea Cossu; Hamed Hemati; Vincenzo Lomonaco (J. Mach. Learn. Res., 2023)

Sample Weight Estimation Using Meta-Updates for Online Continual Learning. - Hamed Hemati; Damian Borth (CoRR, 2024)

Continual learning in the presence of repetition. - Hamed Hemati; Lorenzo Pellegrini; Xiaotian Duan; Zixuan Zhao; Fangfang Xia; Marc Masana; Benedikt Tscheschner; Eduardo E. Veas; Yuxiang Zheng; Shiji Zhao; Shao-Yuan Li; Sheng-Jun Huang; et al. (Neural Networks, 2025)