Ricardo A. Calix

According to our database1, Ricardo A. Calix authored at least 37 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks.
IEEE Access, 2024

2023
Unexpectedness as a Measure of Semantic Learning When Training Transformer Models.
Int. J. Artif. Intell. Tools, February, 2023

2022
Using Double Deep Q-Learning to learn Attitude Control of Fixed-Wing Aircraft.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

A Corpus of Encoded Malware Byte Information as Images for Efficient Classification.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Mapping Chinese Oracle-bone Glyphs to Simplified Glyphs with Generative Adversarial Networks.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

QPlane: An Open-Source Reinforcement Learning Toolkit for Autonomous Fixed Wing Aircraft Simulation.
Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021

Attitude Control for Fixed-Wing Aircraft Using Q-Learning.
Proceedings of the Intelligent Human Computer Interaction, 2021

2020
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Cyber Security Tool Kit (CyberSecTK): A Python Library for Machine Learning and Cyber Security.
Inf., 2020

2019
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018
Identifying tweets of personal health experience through word embedding and LSTM neural network.
BMC Bioinform., 2018

A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Identifying Consumer Health Terms of Side Effects in Twitter Posts.
Proceedings of the Data, 2018

Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Identifying personal health experience tweets with deep neural networks.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Deep gramulator: Improving precision in the classification of personal health-experience tweets with deep learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Analysis of Parallel Architectures for Network Intrusion Detection.
Proceedings of the 5th Annual Conference on Research in Information Technology, 2016

Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors.
Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, 2016

On the Anatomy of the Dynamic Behavior of Polymorphic Viruses.
Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, 2016

Construction of a Personal Experience Tweet Corpus for Health Surveillance.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

On the feasibility of an embedded machine learning processor for intrusion detection.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Network Intrusion Detection Using a Hardware-Based Restricted Coulomb Energy Algorithm on a Cognitive Processor.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Semantic Content Enrichment of Sensor Network Data for Environmental Monitoring.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
Actor level emotion magnitude prediction in text and speech.
Multim. Tools Appl., 2013

Text message corpus: Applying natural language processing to mobile device forensics.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Special Track on Artificial Intelligence and Cyber Security.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Feature Ranking and Support Vector Machines Classification Analysis of the NSL-KDD Intrusion Detection Corpus.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Automatic Detection of Nominal Entities in Speech for Enriched Content Search.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
Detection of Affective States From Text and Speech for Real-Time Human-Computer Interaction.
Hum. Factors, 2012

Emotion Expression 3-D Synthesis From Predicted Emotion Magnitudes.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection.
Proceedings of the Second Annual ACM SIGMM Conference on Multimedia Systems, 2011

Material classification and automatic content enrichment of images using supervised learning and knowledge bases.
Proceedings of the Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 2011

Dimensionality Reduction and Classification Analysis on the Audio Section of the SEMAINE Database.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010
Emotion Recognition in Text for 3-D Facial Expression Rendering.
IEEE Trans. Multim., 2010


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