publications

2023

  1. comprehensive_empirical_online_cl.png
    A Comprehensive Empirical Evaluation on Online Continual Learning
    Albin Soutif–Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Hamed Hemati, and 2 more authors
    2023
  2. avalanche.png
    Avalanche: A PyTorch Library for Deep Continual Learning
    Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, and Vincenzo Lomonaco
    2023
  3. partial-hn_thumbnail.png
    Partial Hypernetworks for Continual Learning
    Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, and Damian Borth
    2023
  4. cir_thumbnail.png
    Class-Incremental Learning with Repetition
    Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, and 3 more authors
    2023

2022

  1. federated_continual_auditing.png
    Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
    Marco Schreyer, Hamed Hemati, Damian Borth, and Miklos A. Vasarhelyi
    2022
  2. generative_aug_speech_emotion.png
    Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition
    Shijun Wang, Hamed Hemati, Jón Guðnason, and Damian Borth
    2022

2021

  1. continual_auditing.png
    Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
    Hamed Hemati, Marco Schreyer, and Damian Borth
    2021
  2. continual_speaker_adaptation.png
    Continual Speaker Adaptation for Text-to-Speech Synthesis
    Hamed Hemati, and Damian Borth
    2021

2020

  1. ipa_based_tacotron.png
    Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement
    Hamed Hemati, and Damian Borth
    2020