Sergey Pugachevskiy - Concepedia

Author

Sergey Pugachevskiy

Technical University of Munich

Also Known As

Pugachevskiy, Sergey, Sergey Pugachevskiy

Publications

570

Citations

H-Index

Concepts

All Affiliations

Technical University of Munich University of Passau University of Augsburg Imperial College London

About

Sergey Pugachevskiy is an author at Technical University of Munich specializing in machine learning, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	447
2	Health Sciences	4	4	357
3	Arts	1	1	32
4	Social Sciences	1	1	21
5	Behavioral Sciences	1	1	21

Sergey Pugachevskiy

Publications

570

Citations

H-Index

Page 1

	Year	Citations
Snore Sound Classification Using Image-Based Deep Spectrum Features Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, MusicEngineeringMachine LearningVarious TypesAcoustic Modeling	2017	267
auDeep: Unsupervised Learning of Representations from Audio with Deep\n Recurrent Neural Networks Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, arXiv (Cornell University)	2017	123
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results Alice Baird, Shahin Amiriparian, Nicholas Cummins, Speech SciencesMachine LearningEngineeringSpeech Sound DisorderAutism Severity	2017	38
CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Artificial IntelligenceFew-shot LearningEngineeringMachine LearningMultimodal Sentiment Analysis	2017	32
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, MusicConvolutional Neural NetworkEngineeringMachine LearningSpeech Recognition	2018	31
Is Deception Emotional? An Emotion-Driven Predictive Approach Shahin Amiriparian, Jouni Pohjalainen, Erik Marchi, Deceptive SpeechEngineeringMachine LearningEmpathyAffective Neuroscience	2016	21
“Are You Playing a Shooter Again?!” Deep Representation Learning for Audio-Based Video Game Genre Recognition Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, IEEE Transactions on Games Artificial IntelligenceMusicGame AiEngineeringMachine Learning	2019	21
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, arXiv (Cornell University) MusicAudio MiningEngineeringMachine LearningData Science	2017	19
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification Shahin Arniriparian, Michael Freitag, Nicholas Cummins, Data AugmentationAcoustic Scene AnalysisRecurrent SequenceMachine LearningData Science	2018	18

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