Ricardo A. Calix

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 22

Top Topics

Intrusion Detection

Personal Experience

Top Venues

FLAIRS Conference

Publications

David J. Richter, Ricardo A. Calix, Kyungbaek Kim
A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks. IEEE Access 12 (2024)
Ricardo A. Calix, Leili Javadpour
Unexpectedness as a Measure of Semantic Learning When Training Transformer Models. Int. J. Artif. Intell. Tools 32 (1) (2023)
David J. Richter, Ricardo A. Calix
Using Double Deep Q-Learning to learn Attitude Control of Fixed-Wing Aircraft. SITIS (2022)
Ryan Frederick, Joseph Shapiro, Ricardo A. Calix
A Corpus of Encoded Malware Byte Information as Images for Efficient Classification. SITIS (2022)
Ricardo A. Calix, J. J. Ben-Joseph, Nina Lopatina, Ryan Ashley, Mona Gogia, George Sieniawski, Andrea Brennen
Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition. Big Data (2022)
Xiaoyu Long, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim, Keyuan Jiang
Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks. UEMCON (2021)
David J. Richter, Lance James Natonski, Xiaxin Shen, Ricardo A. Calix
Attitude Control for Fixed-Wing Aircraft Using Q-Learning. ICHI (2021)
Xiaoyu Long, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim, Keyuan Jiang
Mapping Chinese Oracle-bone Glyphs to Simplified Glyphs with Generative Adversarial Networks. UEMCON (2021)
Ricardo A. Calix, Sumendra B. Singh, Tingyu Chen, Dingkai Zhang, Michael Tu
Cyber Security Tool Kit (CyberSecTK): A Python Library for Machine Learning and Cyber Security. Inf. 11 (2) (2020)
Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. EMBC (2019)
Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ravish Gupta, Ricardo A. Calix, Gordon R. Bernard
An Explainable Approach of Inferring Potential Medication Effects from Social Media Data. KR4HC/ProHealth/TEAAM@AIME (2019)
Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta, Gordon R. Bernard
Identifying tweets of personal health experience through word embedding and LSTM neural network. BMC Bioinform. (8) (2018)
Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard
Identifying Consumer Health Terms of Side Effects in Twitter Posts. ICIMTH (2018)
Keyuan Jiang, Tingyu Chen, Liyuan Huang, Ricardo A. Calix, Gordon R. Bernard
A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter. MIE (2018)
Shichao Feng, Keyuan Jiang, Jiyun Li, Ricardo A. Calix, Matrika Gupta
Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks. AAAI Workshops (2018)
Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard
Identifying personal health experience tweets with deep neural networks. EMBC (2017)
Ricardo A. Calix, Ravish Gupta, Matrika Gupta, Keyuan Jiang
Deep gramulator: Improving precision in the classification of personal health-experience tweets with deep learning. BIBM (2017)
Irshad M. Iqbal, Ricardo A. Calix
Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors. CTS (2016)
Keyuan Jiang, Ricardo A. Calix, Matrika Gupta
Construction of a Personal Experience Tweet Corpus for Health Surveillance. BioNLP@ACL (2016)
Rajesh Sankaran, Ricardo A. Calix
On the feasibility of an embedded machine learning processor for intrusion detection. IEEE BigData (2016)
Ricardo A. Calix, Armando Cabrera, Irshad Iqbal
Analysis of Parallel Architectures for Network Intrusion Detection. RIIT (2016)
Armando Cabrera, Ricardo A. Calix
On the Anatomy of the Dynamic Behavior of Polymorphic Viruses. CTS (2016)
Mahdi H. Moghaddam, Ricardo A. Calix
Network Intrusion Detection Using a Hardware-Based Restricted Coulomb Energy Algorithm on a Cognitive Processor. FLAIRS Conference (2015)
Dustin R. Franz, Ricardo A. Calix
Semantic Content Enrichment of Sensor Network Data for Environmental Monitoring. FLAIRS Conference (2014)
Ricardo A. Calix
Automatic Detection of Nominal Entities in Speech for Enriched Content Search. FLAIRS Conference (2013)
Gerald M. Knapp, Ricardo A. Calix, Mehdi A. Khazaeli, Leili Javadpour
Special Track on Artificial Intelligence and Cyber Security. FLAIRS Conference (2013)
Ricardo A. Calix, Gerald M. Knapp
Actor level emotion magnitude prediction in text and speech. Multim. Tools Appl. 62 (2) (2013)
Daniel R. O'Day, Ricardo A. Calix
Text message corpus: Applying natural language processing to mobile device forensics. ICME Workshops (2013)
Ricardo A. Calix, Rajesh Sankaran
Feature Ranking and Support Vector Machines Classification Analysis of the NSL-KDD Intrusion Detection Corpus. FLAIRS Conference (2013)
Ricardo A. Calix
Emotion Expression 3-D Synthesis From Predicted Emotion Magnitudes. FLAIRS Conference (2012)
Ricardo A. Calix, Leili Javadpour, Gerald M. Knapp
Detection of Affective States From Text and Speech for Real-Time Human-Computer Interaction. Hum. Factors 54 (4) (2012)
Sri Abhishikth Mallepudi, Ricardo A. Calix, Gerald M. Knapp
Material classification and automatic content enrichment of images using supervised learning and knowledge bases. Multimedia on Mobile Devices / Multimedia Content Access: Algorithms and Systems (2011)
Ricardo A. Calix, Gerald M. Knapp
Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection. MMSys (2011)
Ricardo A. Calix, Mehdi A. Khazaeli, Leili Javadpour, Gerald M. Knapp
Dimensionality Reduction and Classification Analysis on the Audio Section of the SEMAINE Database. ACII (2) (2011)
Ricardo A. Calix, Sri Abhishikth Mallepudi, Bin Chen, Gerald M. Knapp
Emotion Recognition in Text for 3-D Facial Expression Rendering. IEEE Trans. Multim. 12 (6) (2010)