default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHamid Eghbalzadeh
Person information
- affiliation: Johannes Kepler Universität Linz, Linz, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j6]Hamid Eghbal-zadeh
, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer:
Rethinking data augmentation for adversarial robustness. Inf. Sci. 654: 119838 (2024)- [i27]Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar Nagarajan, Ruta Desai:
User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance. CoRR abs/2408.03160 (2024) - 2023
- [c28]Dhruvesh Patel, Hamid Eghbalzadeh, Nitin Kamra, Michael Louis Iuzzolino, Unnat Jain, Ruta Desai:
Pretrained Language Models as Visual Planners for Human Assistance. ICCV 2023: 15256-15268 - [c27]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger:
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 2023 - [i26]Dhruvesh Patel, Hamid Eghbalzadeh, Nitin Kamra, Michael Louis Iuzzolino, Unnat Jain, Ruta Desai:
Pretrained Language Models as Visual Planners for Human Assistance. CoRR abs/2304.09179 (2023) - [i25]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger:
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR abs/2305.01281 (2023) - [i24]Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway:
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. CoRR abs/2307.05784 (2023) - 2022
- [c26]Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter:
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs 2022: 441-469 - [c25]Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter:
A Dataset Perspective on Offline Reinforcement Learning. CoLLAs 2022: 470-517 - [c24]Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner:
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 2022: 1043-1064 - [c23]Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter:
History Compression via Language Models in Reinforcement Learning. ICML 2022: 17156-17185 - [c22]Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer:
Efficient Training of Audio Transformers with Patchout. INTERSPEECH 2022: 2753-2757 - [i23]Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter:
History Compression via Language Models in Reinforcement Learning. CoRR abs/2205.12258 (2022) - [i22]Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner:
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR abs/2206.03483 (2022) - [i21]Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter:
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. CoRR abs/2207.05742 (2022) - [i20]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers. CoRR abs/2211.13956 (2022) - 2021
- [j5]Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1987-2000 (2021) - [c21]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. HEAR@NeurIPS 2021: 65-89 - [c20]Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser:
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS 2021: 20798-20811 - [i19]Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks. CoRR abs/2105.12395 (2021) - [i18]Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer:
Over-Parameterization and Generalization in Audio Classification. CoRR abs/2107.08933 (2021) - [i17]Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer:
Efficient Training of Audio Transformers with Patchout. CoRR abs/2110.05069 (2021) - 2020
- [c19]Khaled Koutini, Florian Henkel, Hamid Eghbal-Zadeh, Gerhard Widmer:
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. DCASE 2020: 86-90 - [c18]Hamid Eghbal-zadeh, Florian Henkel, Gerhard Widmer:
Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables. Preregister@NeurIPS 2020: 236-254 - [i16]Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR abs/2007.02650 (2020) - [i15]Khaled Koutini, Hamid Eghbal-Zadeh, Verena Haunschmid, Paul Primus, Shreyan Chowdhury, Gerhard Widmer:
Receptive-Field Regularized CNNs for Music Classification and Tagging. CoRR abs/2007.13503 (2020) - [i14]Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh, Gerhard Widmer:
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. CoRR abs/2011.02955 (2020)
2010 – 2019
- 2019
- [j4]Hamid Eghbal-Zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
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. 26(6): 572-596 (2019) - [j3]Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi:
Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. 29(2): 291-343 (2019) - [j2]Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer:
Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. 29(2): 527-572 (2019) - [c17]Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. CVPR 2019: 5820-5829 - [c16]Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification. DCASE 2019: 124-128 - [c15]Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer:
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. DCASE 2019: 204-208 - [c14]Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch:
On Conditioning GANs to Hierarchical Ontologies. DEXA Workshops 2019: 182-186 - [c13]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. EUSIPCO 2019: 1-5 - [c12]Richard Vogl, Hamid Eghbal-Zadeh, Peter Knees:
An automatic drum machine with touch UI based on a generative neural network. IUI Companion 2019: 91-92 - [c11]Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-Zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. MediaEval 2019 - [i13]Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch:
On Conditioning GANs to Hierarchical Ontologies. CoRR abs/1905.06586 (2019) - [i12]Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1907.01803 (2019) - [i11]Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Receptive-field-regularized CNN variants for acoustic scene classification. CoRR abs/1909.02859 (2019) - [i10]Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer:
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. CoRR abs/1909.02869 (2019) - [i9]Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. CoRR abs/1911.05833 (2019) - 2018
- [j1]Markus Schedl, Emilia Gómez, Erika S. Trent, Marko Tkalcic, Hamid Eghbal-Zadeh, Agustín Martorell:
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Trans. Affect. Comput. 9(4): 507-525 (2018) - [c10]Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah:
Large-scale weakly labeled semi-supervised sound event detection in domestic environments. DCASE 2018: 19-23 - [c9]Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer:
Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection. DCASE 2018: 173-177 - [c8]Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi:
Audio-visual encoding of multimedia content for enhancing movie recommendations. RecSys 2018: 455-459 - [i8]Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR abs/1806.08840 (2018) - [i7]Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh, Ankit Parag Shah:
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments. CoRR abs/1807.10501 (2018) - [i6]Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. CoRR abs/1811.00152 (2018) - 2017
- [c7]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. EUSIPCO 2017: 2749-2753 - [c6]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys 2017: 46-54 - [i5]Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl:
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. CoRR abs/1705.08283 (2017) - [i4]Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer:
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1706.06525 (2017) - [i3]Hamid Eghbal-zadeh, Gerhard Widmer:
Likelihood Estimation for Generative Adversarial Networks. CoRR abs/1707.07530 (2017) - [i2]Hamid Eghbal-zadeh, Gerhard Widmer:
Probabilistic Generative Adversarial Networks. CoRR abs/1708.01886 (2017) - [i1]Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
Deep Within-Class Covariance Analysis for Acoustic Scene Classification. CoRR abs/1711.04022 (2017) - 2016
- [c5]Markus Schedl, Hamid Eghbal-Zadeh, Emilia Gómez, Marko Tkalcic:
An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics. ISMIR 2016: 578-583 - [c4]Hamid Eghbal-zadeh, Gerhard Widmer:
Noise Robust Music Artist Recognition Using I-Vector Features. ISMIR 2016: 709-715 - 2015
- [c3]Hamid Eghbal-zadeh, Markus Schedl, Gerhard Widmer:
Timbral modeling for music artist recognition using i-vectors. EUSIPCO 2015: 1286-1290 - [c2]Hamid Eghbal-zadeh, Bernhard Lehner, Markus Schedl, Gerhard Widmer:
I-Vectors for Timbre-Based Music Similarity and Music Artist Classification. ISMIR 2015: 554-560 - 2012
- [c1]Hamid Eghbalzadeh, Behrooz Hosseini, Shahram Khadivi, Ali Khodabakhsh:
Persica: A Persian corpus for multi-purpose text mining and natural language processing. IST 2012: 1207-1214
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
