Hamid Eghbalzadeh

Orcid: 0000-0003-0773-5651

Affiliations:
  • Johannes Kepler Universität Linz, Linz, Austria


According to our database1, Hamid Eghbalzadeh authored at least 43 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Rethinking data augmentation for adversarial robustness.
Inf. Sci., January, 2024

2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video.
CoRR, 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pretrained Language Models as Visual Planners for Human Assistance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Efficient Training of Audio Transformers with Patchout.
Proceedings of the Interspeech 2022, 2022

History Compression via Language Models in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

A Dataset Perspective on Offline Reinforcement Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Over-Parameterization and Generalization in Audio Classification.
CoRR, 2021

The balancing principle for parameter choice in distance-regularized domain adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.
Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

2020
Receptive-Field Regularized CNNs for Music Classification and Tagging.
CoRR, 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.
CoRR, 2020

Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019
Feature-combination hybrid recommender systems for automated music playlist continuation.
User Model. User Adapt. Interact., 2019

Movie genome: alleviating new item cold start in movie recommendation.
User Model. User Adapt. Interact., 2019

DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data.
J. Comput. Biol., 2019

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

An automatic drum machine with touch UI based on a generative neural network.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification.
Proceedings of the 27th European Signal Processing Conference, 2019

On Conditioning GANs to Hierarchical Ontologies.
Proceedings of the Database and Expert Systems Applications, 2019

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Mixture Density Generative Adversarial Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music.
IEEE Trans. Affect. Comput., 2018

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data.
CoRR, 2018

Audio-visual encoding of multimedia content for enhancing movie recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Large-scale weakly labeled semi-supervised sound event detection in domestic environments.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017
Deep Within-Class Covariance Analysis for Acoustic Scene Classification.
CoRR, 2017

Probabilistic Generative Adversarial Networks.
CoRR, 2017

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.
CoRR, 2017

Likelihood Estimation for Generative Adversarial Networks.
CoRR, 2017

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Noise Robust Music Artist Recognition Using I-Vector Features.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
I-Vectors for Timbre-Based Music Similarity and Music Artist Classification.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Timbral modeling for music artist recognition using i-vectors.
Proceedings of the 23rd European Signal Processing Conference, 2015

2012
Persica: A Persian corpus for multi-purpose text mining and natural language processing.
Proceedings of the 6th International Symposium on Telecommunications, 2012


  Loading...