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ORCIDAlexander Schindler
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- affiliation: TU Wien, Vienna, Austria
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Journal Articles
- 2020
[j2]Alexander Schindler, Alexander Dietz:
KI im Unterricht mit TensorFlow programmieren. LOG IN 40(1): 87-92 (2020)- 2017
- [j1]Alexander Schindler, Andreas Rauber:
Harnessing Music-Related Visual Stereotypes for Music Information Retrieval. ACM Trans. Intell. Syst. Technol. 8(2): 20:1-20:21 (2017)
Conference and Workshop Papers
- 2024
- [c45]Mina Schütz, Daniela Pisoiu, Daria Liakhovets, Alexander Schindler, Melanie Siegel:
GerDISDETECT: A German Multilabel Dataset for Disinformation Detection. LREC/COLING 2024: 7683-7695 - [c44]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl
, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks. IGARSS 2024: 9582-9586 - [c43]Lam Pham, Phat Lam, Truong Nguyen, Huyen Nguyen, Alexander Schindler:
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models. IS2 2024: 1-5 - [c42]Jonas Gläsel, Alexander Schindler, Hendrik Boerma, Thanh T. Tran, Felix Ganzer, Duy P. Nguyen, Billy Allen, Patrick Runge, Martin Schell:
128 GBaud Coherent Receiver Engine with Flat Frequency Response. OFC 2024: 1-3 - [c41]Margareta V. Stephanie, Lam Pham, Alexander Schindler, Michael Waltl, Tibor Grasser, Bernhard Schrenk:
Neural Network with Optical Frequency-Coded ReLU. OFC 2024: 1-3 - 2023
- [c40]Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler:
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CBMI 2023: 238-242 - [c39]Jaqueline Böck, Mina Schütz, Daria Liakhovets, Nathanya Queby Satriani, Andreas Babic, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler:
AIT_FHSTP at EXIST 2023 Benchmark: Sexism Detection by Transfer Learning, Sentiment and Toxicity Embeddings and Hand-Crafted Features. CLEF (Working Notes) 2023: 878-890 - [c38]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-Weight Deep Learning Model for Remote Sensing Image Classification. ISPA 2023: 1-6 - [c37]Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. IS2 2023: 1-8 - 2022
- [c36]Lam Pham, Dat Ngo, Tho Nguyen, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler:
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CBMI 2022: 23-28 - [c35]Mina Schütz, Jaqueline Böck, Medina Andresel, Armin Kirchknopf, Daria Liakhovets, Djordje Slijepcevic, Alexander Schindler:
AIT_FHSTP at CheckThat!-2022: Cross-Lingual Fake News Detection with a Large Pre-Trained Transformer. CLEF (Working Notes) 2022: 660-670 - [c34]Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin:
An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. EMBC 2022: 4595-4598 - [c33]Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler:
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. MMAsia 2022: 35:1-35:5 - [c32]Daria Liakhovets, Mina Schütz, Jaqueline Böck, Medina Andresel, Armin Kirchknopf, Andreas Babic, Djordje Slijepcevic, Jasmin Lampert, Alexander Schindler, Matthias Zeppelzauer:
Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models - AIT_FHSTP@EXIST2022. IberLEF@SEPLN 2022 - 2021
- [c31]Lam Pham, Huy Phan, Alexander Schindler, Ross King, Alfred Mertins, Ian McLoughlin:
Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases. EMBC 2021: 253-256 - [c30]Jaqueline Böck, Daria Liakhovets, Mina Schütz, Armin Kirchknopf, Djordje Slijepcevic, Matthias Zeppelzauer, Alexander Schindler:
AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection with Multilingual Transformer Models. GermEval@KONVENS 2021: 76-82 - [c29]Marko Perestjuk, Hendrik Boerma, Alexander Schindler, Shahram Keyvaninia, Patrick Runge, Martin Schell:
Inverse-Designed InP-Based Polarization Rotator-Splitter. OFC 2021: 1-3 - [c28]Mina Schütz, Jaqueline Boeck, Daria Liakhovets, Djordje Slijepcevic, Armin Kirchknopf, Manuel Hecht, Johannes Bogensperger, Sven Schlarb, Alexander Schindler, Matthias Zeppelzauer:
Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021. IberLEF@SEPLN 2021: 346-355 - 2020
- [c27]Carmina Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Anahid Naghibzadeh-Jalali, Alexander Schindler, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Kloesch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel:
Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models. APSIPA 2020: 919-923 - [c26]Mina Schütz, Alexander Schindler, Melanie Siegel, Kawa Nazemi:
Automatic Fake News Detection with Pre-trained Transformer Models. ICPR Workshops (7) 2020: 627-641 - [c25]Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King:
Multi-modal video forensic platform for investigating post-terrorist attack scenarios. MMSys 2020: 365-368 - [c24]Alexander Schindler, Sergiu Gordea, Peter Knees:
Unsupervised cross-modal audio representation learning from unstructured multilingual text. SAC 2020: 706-713 - 2019
- [c23]Alexander Schindler, Peter Knees:
Multi-Task Music Representation Learning from Multi-Label Embeddings. CBMI 2019: 1-6 - [c22]Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. ICPHM 2019: 1-8 - [c21]Alexander Schindler, Martin Boyer, Andrew Lindley, David Schreiber, Thomas Philipp:
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks. MMM (2) 2019: 106-119 - [c20]Alexander Schindler, Andreas Rauber:
On the Unsolved Problem of Shot Boundary Detection for Music Videos. MMM (1) 2019: 518-530 - [c19]Patrick Runge, Shahram Keyvaninia, Marko Gruner, Alexander Schindler, Frederik Schroder, Ronald Kaiser, Felix Ganzer, Sven Mutschall, Angela Seeger, Jens Stephan, Günter Unterbörsch:
Photodetector with Monolithically Integrated SOA for Pre-Amplification of High-Speed Signals with 56GBd and Above. OFC 2019: 1-3 - 2017
- [c18]Botond Fazekas, Alexander Schindler, Thomas Lidy:
A Multi-modal Deep Neural Network approach to Bird-song Identication. CLEF (Working Notes) 2017 - [c17]Alexander Schindler, Thomas Lidy, Andreas Rauber:
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. DCASE 2017: 118-122 - [c16]Alexander Schindler, Thomas Lidy, Stephan Karner, Matthias Hecker:
Fashion and Apparel Classification using Convolutional Neural Networks. Forum Media Technology 2017: 24-27 - 2016
- [c15]Thomas Lidy, Alexander Schindler:
CQT-based Convolutional Neural Networks for Audio Scene Classification. DCASE 2016: 60-64 - [c14]Alexander Schindler, Sergiu Gordea, Harry van Biessum:
The Europeana Sounds Music Information Retrieval Pilot. EuroMed (2) 2016: 109-117 - [c13]Alexander Schindler, Thomas Lidy, Andreas Rauber:
Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification. FMT 2016: 17-21 - 2015
- [c12]Alexander Schindler, Andreas Rauber:
An Audio-Visual Approach to Music Genre Classification through Affective Color Features. ECIR 2015: 61-67 - 2014
- [c11]Alexander Schindler:
A Picture is Worth a Thousand Songs: Exploring Visual Aspects of Music. DLfM@JCDL 2014: 1-3 - 2013
- [c10]Reinhold Huber-Mörk, Alexander Schindler:
Automatic classification of defect page content in scanned document collections. ISPA 2013: 177-182 - [c9]Sven Schlarb, Peter Cliff, Peter May, William Palmer, Matthias Hahn, Reinhold Huber-Mörk, Alexander Schindler, Rainer Schmidt, Johan van der Knijff:
Quality assured image file format migration in large digital object repositories. iPRES 2013 - [c8]Reinhold Huber-Mörk, Alexander Schindler:
An Image Based Approach for Content Analysis in Document Collections. ISVC (2) 2013: 278-287 - [c7]Roman Graf, Reinhold Huber-Mörk, Alexander Schindler, Sven Schlarb:
Duplicate detection approaches for quality assurance of document image collections. MEDES 2013: 152-158 - 2012
- [c6]Reinhold Huber-Mörk, Alexander Schindler:
Quality Assurance for Document Image Collections in Digital Preservation. ACIVS 2012: 108-119 - [c5]Alexander Schindler, Andreas Rauber:
Capturing the Temporal Domain in Echonest Features for Improved Classification Effectiveness. Adaptive Multimedia Retrieval 2012: 214-227 - [c4]Roman Graf, Reinhold Huber-Mörk, Alexander Schindler, Sven Schlarb:
An Expert System for Quality Assurance of Document Image Collections. EuroMed 2012: 251-260 - [c3]Reinhold Huber-Mörk, Alexander Schindler, Sven Schlarb:
Duplicate Detection for Quality Assurance of Document Image Collections. iPRES 2012 - [c2]Alexander Schindler, Rudolf Mayer, Andreas Rauber:
Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset. ISMIR 2012: 469-474 - 2010
- [c1]Alexander Schindler, Andreas Rauber:
Clubmixer: A Presentation Platform for MIR Projects. Adaptive Multimedia Retrieval 2010: 132-143
Editorship
- 2022
- [e5]Meghna Pandharipande, Alexander Schindler, Venkata Subramanian Viraraghavan, João P. Cabral:
2022 Workshop on Speech, Music and Mind, SMM 2022, virutal, September 15, 2022. ISCA 2022 [contents] - 2021
- [e4]Meghna Pandharipande, Pavel Matejka, Venkata Subramanian Viraraghavan, João P. Cabral, Alexander Schindler:
2021 Workshop on Speech, Music and Mind, SMM 2021, Brno University of Technology, Brno, Czech Republic, August 27, 2021. ISCA 2021 [contents] - 2020
- [e3]Venkata Subramanian Viraraghavan, Saho Xi, Alexander Schindler, João P. Cabral, Gauri Deshpande, Sachin Patel:
2020 Workshop on Speech, Music and Mind, SMM 2020, Nanjing, China, October 23, 2020. ISCA 2020 [contents] - 2019
- [e2]Venkata Subramanian Viraraghavan, Alexander Schindler, João P. Cabral, Gauri Deshpande, Sachin Patel:
2019 Workshop on Speech, Music and Mind, SMM 2019, Vienna, Austria, September 14, 2019. ISCA 2019 [contents] - 2018
- [e1]Anna Fensel, Victor de Boer, Tassilo Pellegrini, Elmar Kiesling, Bernhard Haslhofer, Laura Hollink, Alexander Schindler:
Proceedings of the 14th International Conference on Semantic Systems, SEMANTiCS 2018, Vienna, Austria, September 10-13, 2018. Procedia Computer Science 137, Elsevier 2018 [contents]
Informal and Other Publications
- 2024
- [i33]Phat Lam, Lam Pham, Tin Nguyen, Hieu Tang, Michael Seidl, Alexander Schindler:
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts. CoRR abs/2401.15854 (2024) - [i32]Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler:
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. CoRR abs/2403.00379 (2024) - [i31]Lam Pham, Phat Lam, Truong Nguyen, Huyen Nguyen, Alexander Schindler:
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models. CoRR abs/2407.01777 (2024) - [i30]Lam Pham, Phat Lam, Tin Nguyen, Hieu Tang, Alexander Schindler:
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection). CoRR abs/2407.03110 (2024) - [i29]Lam Pham, Phat Lam, Tin Nguyen, Hieu Tang, Huyen Nguyen, Alexander Schindler, Canh Vu:
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection. CoRR abs/2409.15180 (2024) - [i28]Peter Biegelbauer, Alexander Schindler, Rodrigo Conde-Jimenez, Pia Weinlinger:
Exciting Opportunities and Necessary Safeguards for Large Language Models in the Public Sector. ERCIM News 2024(136) (2024) - 2023
- [i27]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-weight Deep Learning Model for Remote Sensing Image Classification. CoRR abs/2302.13028 (2023) - [i26]Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler:
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CoRR abs/2305.01476 (2023) - [i25]Lam Pham, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR abs/2305.09463 (2023) - [i24]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network. CoRR abs/2312.16717 (2023) - [i23]Anahid N. Jalali, Alexander Schindler, Anita Zolles:
A Pathway to Combat Climate Change with Human-Centred XAI. ERCIM News 2023(134) (2023) - 2022
- [i22]Lam Pham, Dat Ngo, Truong Van Hoang, Alexander Schindler, Ian McLoughlin:
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. CoRR abs/2201.03054 (2022) - [i21]Lam Pham, Khoa Dinh, Dat Ngo, Hieu Tang, Alexander Schindler:
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. CoRR abs/2203.12314 (2022) - [i20]Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification. CoRR abs/2206.06057 (2022) - [i19]Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler:
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR abs/2206.13392 (2022) - [i18]Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Hai Canh Vu, Phu X. Nguyen:
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. CoRR abs/2210.08610 (2022) - 2021
- [i17]Mina Schütz, Jaqueline Boeck, Daria Liakhovets, Djordje Slijepcevic, Armin Kirchknopf, Manuel Hecht, Johannes Bogensperger, Sven Schlarb, Alexander Schindler, Matthias Zeppelzauer:
Automatic Sexism Detection with Multilingual Transformer Models. CoRR abs/2106.04908 (2021) - [i16]Lam Pham, Hieu Tang, Anahid N. Jalali, Alexander Schindler, Ross King:
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. CoRR abs/2106.06838 (2021) - [i15]Lam Pham, Alexander Schindler, Mina Schütz, Jasmin Lampert, Sven Schlarb, Ross King:
Deep Learning Frameworks Applied For Audio-Visual Scene Classification. CoRR abs/2106.06840 (2021) - [i14]Lam Pham, Dat Ngo, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler:
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CoRR abs/2112.09172 (2021) - 2020
- [i13]Alexander Schindler, Thomas Lidy, Sebastian Böck:
Deep Learning for MIR Tutorial. CoRR abs/2001.05266 (2020) - [i12]Alexander Schindler:
Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis. CoRR abs/2002.00251 (2020) - [i11]Alexander Schindler, Sergiu Gordea, Peter Knees:
Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text. CoRR abs/2003.12265 (2020) - [i10]Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King:
Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios. CoRR abs/2004.01023 (2020) - 2019
- [i9]Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. CoRR abs/1904.07686 (2019) - [i8]Alexander Schindler, Peter Knees:
Multi-Task Music Representation Learning from Multi-Label Embeddings. CoRR abs/1909.07730 (2019) - [i7]Anahid N. Jalali, Alexander Schindler, Bernhard Haslhofer:
Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry. ERCIM News 2019(116) (2019) - 2018
- [i6]Alexander Schindler, Thomas Lidy, Stephan Karner, Matthias Hecker:
Fashion and Apparel Classification using Convolutional Neural Networks. CoRR abs/1811.04374 (2018) - [i5]Alexander Schindler, Thomas Lidy, Andreas Rauber:
Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification. CoRR abs/1811.04419 (2018) - [i4]Botond Fazekas, Alexander Schindler, Thomas Lidy, Andreas Rauber:
A Multi-modal Deep Neural Network approach to Bird-song identification. CoRR abs/1811.04448 (2018) - [i3]Alexander Schindler, Martin Boyer, Andrew Lindley, David Schreiber, Thomas Philipp:
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks. CoRR abs/1811.11623 (2018) - [i2]Alexander Schindler, Sven Schlarb:
Contextualised Conversational Systems. ERCIM News 2018(114) (2018) - 2015
- [i1]Thomas Lidy, Alexander Schindler, Michela Magas:
MusicBricks: Connecting Digital Creators to the Internet of Music Things. ERCIM News 2015(101) (2015)
Coauthor Index
Anahid N. Jalali
aka: Anahid Naghibzadeh-Jalali
aka: Anahid Naghibzadeh-Jalali
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