Alexander Schindler

Orcid: 0000-0002-4881-6741

Affiliations:
  • TU Wien, Vienna, Austria


According to our database1, Alexander Schindler authored at least 62 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Exciting Opportunities and Necessary Safeguards for Large Language Models in the Public Sector.
ERCIM News, 2024

The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model.
CoRR, 2024

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts.
CoRR, 2024

2023
A Pathway to Combat Climate Change with Human-Centred XAI.
ERCIM News, 2023

Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network.
CoRR, 2023

Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms.
CoRR, 2023

A Light-Weight Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023

AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context.
CoRR, 2022

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.
CoRR, 2022

Low-complexity deep learning frameworks for acoustic scene classification.
CoRR, 2022

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
CoRR, 2022

An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies.
CoRR, 2022

Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models - AIT_FHSTP@EXIST2022.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

AIT_FHSTP at CheckThat!-2022: Cross-Lingual Fake News Detection with a Large Pre-Trained Transformer.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

2021
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
CoRR, 2021

Deep Learning Frameworks Applied For Audio-Visual Scene Classification.
CoRR, 2021

A Low-Compexity Deep Learning Framework For Acoustic Scene Classification.
CoRR, 2021

Automatic Sexism Detection with Multilingual Transformer Models.
CoRR, 2021

Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

Inverse-Designed InP-Based Polarization Rotator-Splitter.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models.
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, 2021

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
KI im Unterricht mit TensorFlow programmieren.
LOG IN, 2020

Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis.
CoRR, 2020

Deep Learning for MIR Tutorial.
CoRR, 2020

Unsupervised cross-modal audio representation learning from unstructured multilingual text.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Multi-modal video forensic platform for investigating post-terrorist attack scenarios.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

Automatic Fake News Detection with Pre-trained Transformer Models.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry.
ERCIM News, 2019

Photodetector with Monolithically Integrated SOA for Pre-Amplification of High-Speed Signals with 56GBd and Above.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

On the Unsolved Problem of Shot Boundary Detection for Music Videos.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Multi-Task Music Representation Learning from Multi-Label Embeddings.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018
Contextualised Conversational Systems.
ERCIM News, 2018

A Multi-modal Deep Neural Network approach to Bird-song identification.
CoRR, 2018

2017
Harnessing Music-Related Visual Stereotypes for Music Information Retrieval.
ACM Trans. Intell. Syst. Technol., 2017

Fashion and Apparel Classification using Convolutional Neural Networks.
Proceedings of the 10th Forum Media Technology and 3rd All Around Audio Symposium, 2017

Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

A Multi-modal Deep Neural Network approach to Bird-song Identication.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification.
Proceedings of the 9th Forum Media Technology 2016 and 2nd All Around Audio Symposium 2016, 2016

The Europeana Sounds Music Information Retrieval Pilot.
Proceedings of the Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection, 2016

CQT-based Convolutional Neural Networks for Audio Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

2015
MusicBricks: Connecting Digital Creators to the Internet of Music Things.
ERCIM News, 2015

An Audio-Visual Approach to Music Genre Classification through Affective Color Features.
Proceedings of the Advances in Information Retrieval, 2015

2014
A Picture is Worth a Thousand Songs: Exploring Visual Aspects of Music.
Proceedings of the 1st International Workshop on Digital Libraries for Musicology, 2014

2013
Duplicate detection approaches for quality assurance of document image collections.
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems, 2013

An Image Based Approach for Content Analysis in Document Collections.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

Quality assured image file format migration in large digital object repositories.
Proceedings of the 10th International Conference on Digital Preservation, 2013

Automatic classification of defect page content in scanned document collections.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

2012
Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Duplicate Detection for Quality Assurance of Document Image Collections.
Proceedings of the 9th International Conference on Digital Preservation, 2012

An Expert System for Quality Assurance of Document Image Collections.
Proceedings of the Progress in Cultural Heritage Preservation, 2012

Capturing the Temporal Domain in Echonest Features for Improved Classification Effectiveness.
Proceedings of the Adaptive Multimedia Retrieval: Semantics, 2012

Quality Assurance for Document Image Collections in Digital Preservation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012

2010
Clubmixer: A Presentation Platform for MIR Projects.
Proceedings of the Adaptive Multimedia Retrieval. Context, Exploration, and Fusion, 2010


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