Bernhard Bermeitinger

According to our database, Bernhard Bermeitinger authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating a Second-Order Optimization Strategy for Neural Networks.

Bernhard Bermeitinger

PhD thesis, 2024

Efficient Neural Network Training via Subset Pretraining.

Jan Frederic Spörer, Bernhard Bermeitinger, Tomas Hrycej, Niklas Limacher, Siegfried Handschuh

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Reducing the Transformer Architecture to a Minimum.

Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath, Siegfried Handschuh

Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support.

Reto Gubelmann, Michael Burkhard, Rositsa V. Ivanova, Christina Niklaus, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

FinBERT-FOMC: Fine-Tuned FinBERT Model with Sentiment Focus Method for Enhancing Sentiment Analysis of FOMC Minutes.

Sandro Gössi, Ziwei Chen, Wonseong Kim, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Make Deep Networks Shallow Again.

Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

2022

Number of Attention Heads vs. Number of Transformer-encoders in Computer Vision.

Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Training Neural Networks in Single vs. Double Precision.

Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

2020

Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics.

Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh

CoRR, 2020

Multimodaler Bedeutungstransfer vom Text zum Bild. Granulare Bildklassifikation durch Verteilungssemantik.

Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2020

2019

Singular Value Decomposition and Neural Networks.

Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Representational Capacity of Deep Neural Networks: A Computing Study.

Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Vom Bild zum Text und wieder zurück.

Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2019

2018

A Multilingual Test Collection for the Semantic Search of Entity Categories.

Juliano Efson Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, André Freitas, Siegfried Handschuh

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Bildanalyse durch Distant Viewing - zur Identifizierung von klassizistischem Mobiliar in Interieurdarstellungen.

Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh

Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

Contextualizing Bandera: Ein Distant Watching Ansatz.

Bernhard Bermeitinger, Gernot Howanitz, Erik Radisch

Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

2017

Object Classification in Images of Neoclassical Artifacts Using Deep Learning.

Bernhard Bermeitinger, Maria Christoforaki, Simon Donig, Siegfried Handschuh

CoRR, 2017

Neoclassica - an open framework for research in Neoclassicism.

Simon Donig, Maria Christoforaki, Siegfried Handschuh, Bernhard Bermeitinger

Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

Object Classification in Images of Neoclassical Artifacts Using Deep Learning.

Bernhard Bermeitinger, Simon Donig, Maria Christoforaki, André Freitas, Siegfried Handschuh

Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2016

A Sentence Simplification System for Improving Relation Extraction.

Christina Niklaus, Bernhard Bermeitinger, Siegfried Handschuh, André Freitas

Proceedings of the COLING 2016, 2016

Object Classification in Images of Neoclassical Furniture Using Deep Learning.

Bernhard Bermeitinger, André Freitas, Simon Donig, Siegfried Handschuh

Proceedings of the Computational History and Data-Driven Humanities, 2016