Persica: A Persian corpus for multi-purpose text mining and natural language processing. - Hamid Eghbalzadeh; Behrooz Hosseini; Shahram Khadivi; Ali Khodabakhsh 001 (IST, 2012)

Timbral modeling for music artist recognition using i-vectors. - Hamid Eghbal-zadeh; Markus Schedl; Gerhard Widmer (EUSIPCO, 2015)

I-Vectors for Timbre-Based Music Similarity and Music Artist Classification. - Hamid Eghbal-zadeh; Bernhard Lehner; Markus Schedl; Gerhard Widmer (ISMIR, 2015)

Noise Robust Music Artist Recognition Using I-Vector Features. - Hamid Eghbal-zadeh; Gerhard Widmer (ISMIR, 2016)

An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics. - Markus Schedl; Hamid Eghbal-Zadeh; Emilia Gómez; Marko Tkalcic (ISMIR, 2016)

PHENICX-emotion. - Markus Schedl; Emilia Gómez; Erika S. Trent; Marko Tkalcic; Hamid Eghbal-Zadeh; Agustín Martorell (Zenodo, 2016)

A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. - Hamid Eghbal-zadeh; Bernhard Lehner; Matthias Dorfer; Gerhard Widmer (EUSIPCO, 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. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl; Gerhard Widmer (DLRS@RecSys, 2017)

Likelihood Estimation for Generative Adversarial Networks. - Hamid Eghbal-zadeh; Gerhard Widmer (CoRR, 2017)

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl (CoRR, 2017)

Probabilistic Generative Adversarial Networks. - Hamid Eghbal-zadeh; Gerhard Widmer (CoRR, 2017)

Deep Within-Class Covariance Analysis for Acoustic Scene Classification. - Hamid Eghbal-zadeh; Matthias Dorfer; Gerhard Widmer (CoRR, 2017)

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (DCASE, 2018)

Large-scale weakly labeled semi-supervised sound event detection in domestic environments. - Romain Serizel; Nicolas Turpault; Hamid Eghbal-Zadeh; Ankit Parag Shah (DCASE, 2018)

Audio-visual encoding of multimedia content for enhancing movie recommendations. - Yashar Deldjoo; Mihai Gabriel Constantin; Hamid Eghbal-Zadeh; Bogdan Ionescu; Markus Schedl; Paolo Cremonesi (RecSys, 2018)

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. - Hamid Eghbal-zadeh; Lukas Fischer 001; Niko Popitsch; Florian Kromp; Sabine Taschner-Mandl; Khaled Koutini; Teresa Gerber; Eva Bozsaky; Peter F. Ambros; Inge M. Ambros; Gerhard Widmer; Bernhard Alois Moser (CoRR, 2018)

On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. - Markus Schedl; Emilia Gómez; Erika S. Trent; Marko Tkalcic; Hamid Eghbal-Zadeh; Agustín Martorell (IEEE Trans. Affect. Comput., 2018)

Mixture Density Generative Adversarial Networks. - Hamid Eghbal-zadeh; Werner Zellinger; Gerhard Widmer (CVPR, 2019)

Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (DCASE, 2019)

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. - Paul Primus; Hamid Eghbal-zadeh; David Eitelsebner; Khaled Koutini; Andreas Arzt; Gerhard Widmer (DCASE, 2019)

On Conditioning GANs to Hierarchical Ontologies. - Hamid Eghbal-zadeh; Lukas Fischer 001; Thomas Hoch (DEXA Workshops, 2019)

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Matthias Dorfer; Gerhard Widmer (EUSIPCO, 2019)

An automatic drum machine with touch UI based on a generative neural network. - Richard Vogl; Hamid Eghbal-Zadeh; Peter Knees (IUI Companion, 2019)

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. - Khaled Koutini; Shreyan Chowdhury; Verena Haunschmid; Hamid Eghbal-Zadeh; Gerhard Widmer (MediaEval, 2019)

DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. - Hamid Eghbal-Zadeh; Lukas Fischer 001; Niko Popitsch; Florian Kromp; Sabine Taschner-Mandl; Teresa Gerber; Eva Bozsaky; Peter F. Ambros; Inge M. Ambros; Gerhard Widmer; Bernhard Alois Moser (J. Comput. Biol., 2019)

Movie genome: alleviating new item cold start in movie recommendation. - Yashar Deldjoo; Maurizio Ferrari Dacrema; Mihai Gabriel Constantin; Hamid Eghbal-zadeh; Stefano Cereda; Markus Schedl; Bogdan Ionescu; Paolo Cremonesi (User Model. User Adapt. Interact., 2019)

Feature-combination hybrid recommender systems for automated music playlist continuation. - Andreu Vall; Matthias Dorfer; Hamid Eghbal-zadeh; Markus Schedl; Keki Burjorjee; Gerhard Widmer (User Model. User Adapt. Interact., 2019)

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. - Khaled Koutini; Florian Henkel; Hamid Eghbal-Zadeh; Gerhard Widmer (DCASE, 2020)

Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables. - Hamid Eghbal-zadeh; Florian Henkel; Gerhard Widmer (Preregister@NeurIPS, 2020)

On Data Augmentation and Adversarial Risk: An Empirical Analysis. - Hamid Eghbal-zadeh; Khaled Koutini; Paul Primus; Verena Haunschmid; Michal Lewandowski; Werner Zellinger; Bernhard Alois Moser; Gerhard Widmer (CoRR, 2020)

Receptive-Field Regularized CNNs for Music Classification and Tagging. - Khaled Koutini; Hamid Eghbal-Zadeh; Verena Haunschmid; Paul Primus; Shreyan Chowdhury; Gerhard Widmer (CoRR, 2020)

Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. - Khaled Koutini; Shahed Masoudian; Florian Schmid; Hamid Eghbal-zadeh; Jan Schlüter; Gerhard Widmer (HEAR@NeurIPS, 2021)

The balancing principle for parameter choice in distance-regularized domain adaptation. - Werner Zellinger; Natalia Shepeleva; Marius-Constantin Dinu; Hamid Eghbal-zadeh; Hoan Duc Nguyen; Bernhard Nessler; Sergei V. Pereverzyev; Bernhard Alois Moser (NeurIPS, 2021)

Over-Parameterization and Generalization in Audio Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Florian Henkel; Jan Schlüter; Gerhard Widmer (CoRR, 2021)

Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Few-Shot Learning by Dimensionality Reduction in Gradient Space. - 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; et al. (CoLLAs, 2022)

A Dataset Perspective on Offline Reinforcement Learning. - Kajetan Schweighofer; Marius-Constantin Dinu; Andreas Radler; Markus Hofmarcher; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. - Christian Alexander Steinparz; Thomas Schmied; Fabian Paischer; Marius-Constantin Dinu; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

History Compression via Language Models in Reinforcement Learning. - Fabian Paischer; Thomas Adler; Vihang Patil; Angela Bitto-Nemling; Markus Holzleitner; Sebastian Lehner; Hamid Eghbal-Zadeh; Sepp Hochreiter (ICML, 2022)

Efficient Training of Audio Transformers with Patchout. - Khaled Koutini; Jan Schlüter; Hamid Eghbal-zadeh; Gerhard Widmer (INTERSPEECH, 2022)

Pretrained Language Models as Visual Planners for Human Assistance. - Dhruvesh Patel; Hamid Eghbalzadeh; Nitin Kamra; Michael Louis Iuzzolino; Unnat Jain; Ruta Desai (ICCV, 2023)

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. - 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 (ICLR, 2023)

EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. - Matthias De Lange; Hamid Eghbalzadeh; Reuben Tan; Michael L. Iuzzolino; Franziska Meier; Karl Ridgeway (CoRR, 2023)

A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems. - Hamid Eghbalzadeh; Yang Wang; Rui Li; Yuji Mo; Qin Ding 007; Jiaxiang Fu; Liang Dai; Shuo Gu; Nima Noorshams; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (ICKG, 2024)

Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models. - Hamid Eghbalzadeh; Shuai Shao; Saurabh Verma; Venugopal Mani; Hongnan Wang; Jigar Madia; Vitali Karpinchyk; Andrey Malevich (CoRR, 2024)

CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures. - Michal Lewandowski; Hamid Eghbalzadeh; Bernhard Alois Moser (CoRR, 2024)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky Chen; Zhang Gabriel Li; Xialo Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (CoRR, 2024)

Rethinking data augmentation for adversarial robustness. - Hamid Eghbal-zadeh; Werner Zellinger; Maura Pintor; Kathrin Grosse; Khaled Koutini; Bernhard Alois Moser; Battista Biggio; Gerhard Widmer (Inf. Sci., 2024)

RePanda: Pandas-powered Tabular Verification and Reasoning. - Atoosa Malemir Chegini; Keivan Rezaei; Hamid Eghbalzadeh; Soheil Feizi (ACL (1), 2025)

User-in-the-Loop Evaluation of Multimodal LLMs for Activity Assistance. - Mrinal Verghese; Brian Chen; Hamid Eghbalzadeh; Tushar Nagarajan; Ruta Desai (WACV, 2025)

Unifying Generative and Dense Retrieval for Sequential Recommendation. - Liu Yang 001; Fabian Paischer; Kaveh Hassani; Jiacheng Li; Shuai Shao; Zhang Gabriel Li; Yun He; Xue Feng; Nima Noorshams; Sem Park; Bo Long; Robert D. Nowak; et al. (Trans. Mach. Learn. Res., 2025)

On Space Folds of ReLU Neural Networks. - Michal Lewandowski; Hamid Eghbalzadeh; Bernhard Heinzl; Raphael Pisoni; Bernhard Alois Moser (Trans. Mach. Learn. Res., 2025)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky T. Q. Chen; Zhang Gabriel Li; Xiaoli Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (Trans. Mach. Learn. Res., 2025)

Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking. - Ilqar Ramazanli; Hamid Eghbalzadeh; Xiaoyi Liu; Yang Wang; Jiaxiang Fu; Kaushik Rangadurai; Sem Park; Bo Long; Xue Feng (CoRR, 2025)