Hamid Eghbalzadeh
Orcid: 0000-0003-0773-5651Affiliations:
- Johannes Kepler Universität Linz, Linz, Austria
According to our database1,
Hamid Eghbalzadeh
authored at least 45 papers
between 2012 and 2024.
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Bibliography
2024
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models.
CoRR, 2024
2023
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
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
Proceedings of the Conference on Lifelong Learning Agents, 2022
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
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
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
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
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
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
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
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019
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
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
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.
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
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
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