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Ricardo A. Calix
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2020 – today
- 2024
- [j7]David J. Richter
, Ricardo A. Calix, Kyungbaek Kim
A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks. IEEE Access 12: 103026-103048 (2024) - 2023
- [j6]Ricardo A. Calix, Leili Javadpour:
Unexpectedness as a Measure of Semantic Learning When Training Transformer Models. Int. J. Artif. Intell. Tools 32(1): 2350007:1-2350007:22 (2023) - 2022
- [c29]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. IEEE Big Data 2022: 2940-2949 - [c28]Ryan Frederick, Joseph Shapiro, Ricardo A. Calix:
A Corpus of Encoded Malware Byte Information as Images for Efficient Classification. SITIS 2022: 32-36 - [c27]David J. Richter
Using Double Deep Q-Learning to learn Attitude Control of Fixed-Wing Aircraft. SITIS 2022: 646-651 - 2021
- [c26]David J. Richter
Attitude Control for Fixed-Wing Aircraft Using Q-Learning. ICHI 2021: 647-658 - [c25]David J. Richter, Ricardo A. Calix:
QPlane: An Open-Source Reinforcement Learning Toolkit for Autonomous Fixed Wing Aircraft Simulation. MMSys 2021: 261-266 - [c24]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: 352-357 - [c23]Xiaoyu Long, Xianping Wang, Ricardo A. Calix, Tae-Hoon Kim, Keyuan Jiang:
Categorizing Chinese Glyphs Based on Liushu With Convolutional Neural Networks. UEMCON 2021: 396-401 - 2020
- [j5]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): 100 (2020) - [p1]Keyuan Jiang, Shichao Feng, Ricardo A. Calix, Gordon R. Bernard:
Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses. Precision Health and Medicine 2020: 45-55
2010 – 2019
- 2019
- [c22]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: 82-92 - [c21]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations. EMBC 2019: 6093-6096 - 2018
- [j4]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. 19-S(8): 67-74 (2018) - [c20]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: 425-430 - [c19]Keyuan Jiang, Tingyu Chen, Ricardo A. Calix, Gordon R. Bernard:
Identifying Consumer Health Terms of Side Effects in Twitter Posts. ICIMTH 2018: 273-276 - [c18]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: 136-140 - 2017
- [c17]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: 1154-1159 - [c16]Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard:
Identifying personal health experience tweets with deep neural networks. EMBC 2017: 1174-1177 - 2016
- [c15]Rajesh Sankaran, Ricardo A. Calix:
On the feasibility of an embedded machine learning processor for intrusion detection. IEEE BigData 2016: 1082-1089 - [c14]Keyuan Jiang, Ricardo A. Calix, Matrika Gupta:
Construction of a Personal Experience Tweet Corpus for Health Surveillance. BioNLP@ACL 2016: 128-135 - [c13]Irshad M. Iqbal, Ricardo A. Calix:
Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors. CTS 2016: 398-403 - [c12]Armando Cabrera, Ricardo A. Calix:
On the Anatomy of the Dynamic Behavior of Polymorphic Viruses. CTS 2016: 424-429 - [c11]Ricardo A. Calix, Armando Cabrera, Irshad Iqbal:
Analysis of Parallel Architectures for Network Intrusion Detection. RIIT 2016: 7-12 - 2015
- [c10]Mahdi H. Moghaddam, Ricardo A. Calix:
Network Intrusion Detection Using a Hardware-Based Restricted Coulomb Energy Algorithm on a Cognitive Processor. FLAIRS 2015: 246-251 - 2014
- [c9]Dustin R. Franz, Ricardo A. Calix:
Semantic Content Enrichment of Sensor Network Data for Environmental Monitoring. FLAIRS 2014 - 2013
- [j3]Ricardo A. Calix, Gerald M. Knapp:
Actor level emotion magnitude prediction in text and speech. Multim. Tools Appl. 62(2): 319-332 (2013) - [c8]Ricardo A. Calix:
Automatic Detection of Nominal Entities in Speech for Enriched Content Search. FLAIRS 2013 - [c7]Ricardo A. Calix, Rajesh Sankaran:
Feature Ranking and Support Vector Machines Classification Analysis of the NSL-KDD Intrusion Detection Corpus. FLAIRS 2013 - [c6]Gerald M. Knapp, Ricardo A. Calix, Mehdi A. Khazaeli, Leili Javadpour:
Special Track on Artificial Intelligence and Cyber Security. FLAIRS 2013 - [c5]Daniel R. O'Day, Ricardo A. Calix:
Text message corpus: Applying natural language processing to mobile device forensics. ICME Workshops 2013: 1-6 - 2012
- [j2]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): 530-545 (2012) - [c4]Ricardo A. Calix:
Emotion Expression 3-D Synthesis From Predicted Emotion Magnitudes. FLAIRS 2012 - 2011
- [c3]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: 323-331 - [c2]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: 788113 - [c1]Ricardo A. Calix, Gerald M. Knapp:
Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection. MMSys 2011: 129-132 - 2010
- [j1]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): 544-551 (2010)
Coauthor Index
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last updated on 2024-10-31 20:19 CET by the dblp team
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