Learning Multi-Domain Adversarial Neural Networks for Text Classification
IEEE Access, 2019 Deep neural networks have been applied to learn transferable features for adapting text classification models from a source domain to a target domain. Conventional domain adaptation used to adapt models from an individual specific domain with sufficient ...
Xiao Ding +5 more
doaj +1 more source
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Sensors, 2022 We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images.
Zhaohui Liang +2 more
doaj +1 more source
Phase retrieval by hyperplanes
, 2017 We show that a scalable frame does phase retrieval if and only if the hyperplanes of its orthogonal complements do phase retrieval. We then show this result fails in general by giving an example of a frame for $\mathbb R^3$ which does phase retrieval but
Botelho-Andrade, Sara +6 more
core +1 more source
Common pulse retrieval algorithm: a fast and universal method to retrieve ultrashort pulses
, 2018 We present a common pulse retrieval algorithm (COPRA) that can be used for a broad category of ultrashort laser pulse measurement schemes including frequency-resolved optical gating (FROG), interferometric FROG, dispersion scan, time domain ptychography,
Eilenberger, Falk +3 more
core +1 more source
The uncertain representation ranking framework for concept-based video retrieval [PDF]
, 2012 Concept based video retrieval often relies on imperfect and uncertain concept detectors. We propose a general ranking framework to define effective and robust ranking functions, through explicitly addressing detector uncertainty.
Aly, Robin +4 more
core +4 more sources
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
BMC Bioinformatics, 2018 Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta +4 more
doaj +1 more source
Diverse Yet Efficient Retrieval using Hash Functions
, 2015 Typical retrieval systems have three requirements: a) Accurate retrieval i.e., the method should have high precision, b) Diverse retrieval, i.e., the obtained set of points should be diverse, c) Retrieval time should be small.
Jain, Prateek +2 more
core +1 more source
Direct and generative retrieval of autobiographical memories : the roles of visual imagery and executive processes [PDF]
, 2017 Two experiments used a dual task methodology to investigate the role of visual imagery and executive resources in the retrieval of specific autobiographical memories.
Anderson, Rachel J. +2 more
core +3 more sources
Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach
InformationObject detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni +2 more
doaj +1 more source
Designing an Open Source Virtual Assistant
Proceedings, 2020 A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most important mobile and desktop platforms.
Anxo Pérez +2 more
doaj +1 more source