Results 21 to 30 of about 85,416 (307)

Multimodal Classification of Teaching Activities from University Lecture Recordings

Applied Sciences, 2022
The way of understanding online higher education has greatly changed due to the worldwide pandemic situation. Teaching is undertaken remotely, and the faculty incorporate lecture audio recordings as part of the teaching material. This new online teaching–
Oscar Sapena, Eva Onaindia
doaj   +1 more source

A systematic review of lightweight transformer models for medical image segmentation [PDF]

BIO Web of Conferences
Finding, assessing, and synthesizing studies on lightweight transformer models for medical picture segmentation is the goal of this SLR. Accuracy and efficiency in medical image processing and analysis are becoming more and more crucial as the amount of ...
Mangkunegara Iis Setiawan, Setyawati Martyarini Budi, Purwono, Aboobaider Burhanuddin bin Mohd   +3 more
doaj   +1 more source

Is Your Model Sensitive? SPEDAC: A New Resource for the Automatic Classification of Sensitive Personal Data

IEEE Access, 2023
In recent years, there has been an exponential growth of applications, including dialogue systems, that handle sensitive personal information. This has brought to light the extremely important issue of personal data protection in virtual environments ...
Gaia Gambarelli, Aldo Gangemi, Rocco Tripodi   +2 more
doaj   +1 more source

Reusable model transformations [PDF]

Software & Systems Modeling, 2010
Model transformations written for an input metamodel may often apply to other metamodels that share similar concepts. For example, a transformation written to refactor Java models can be applicable to refactoring UML class diagrams as both languages share concepts such as classes, methods, attributes, and inheritance.
Sen, Sagar, Moha, Naouel, Mahé, Vincent, Barais, Olivier, Baudry, Benoit, Jézéquel, Jean-Marc   +5 more
openaire   +3 more sources

Transformer-CNN: Fast and Reliable Tool for QSAR

, 2019
We present SMILES-embeddings derived from internal encoder state of a Transformer model trained to canonize SMILES as a Seq2Seq problem. Using CharNN architecture upon the embeddings results in a higher quality QSAR/QSPR models on diverse benchmark ...
Guillaume Godin (6649310), Igor Tetko (6649311), Pavel Karpov (6649283)   +2 more
core   +2 more sources

A new cast-resin transformer thermal model based on recurrent neural networks

Archives of Electrical Engineering, 2017
Thermal modeling in the transient condition is very important for cast-resin dry-type transformers. In the present research, two novel dynamic thermal models have been introduced for the cast-resin dry-type transformer.
Azizian Davood, Bigdeli Mehdi
doaj   +1 more source

Italian pre-trained transformer models.

, 2022
Italian pre-trained transformer models.
Andrea Gasparetto (13007211), Andrea Albarelli (13007220), Matteo Marcuzzo (13007217), Alessandro Zangari (13007214)   +3 more
core   +1 more source

Modeling Recurrence for Transformer [PDF]

Proceedings of the 2019 Conference of the North, 2019
NAACL ...
Jie Hao, Xing Wang 0007, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu   +5 more
openaire   +2 more sources

Modeling Inverter Losses for Circuit Simulation [PDF]

, 2004
Transformer-like inverter models can represent a very good alternative to common switch-diode models for simulation, reducing convergence problems and/or calculation time.
Scapino, Federico, Fratta, Antonino, F. Scapino, A. Fratta   +3 more
core   +1 more source

Tweets Topic Classification and Sentiment Analysis Based on Transformer-Based Language Models

, 2022
People provide information on their thoughts, perceptions, and activities through a wide range of channels, including social media. The wide acceptance of social media results in vast volume of valuable data, in variety of format as well as veracity ...
Bela Stantic, Becken, Susanne, Jinyan Chen, Stantic, Bela, Ranju Mandal, Mandal, Ranju, Chen, Jinyan, Susanne Becken   +7 more
core   +1 more source