Cynthia Matuszek

Orcid: 0000-0003-1383-8120

According to our database1, Cynthia Matuszek authored at least 64 papers between 2005 and 2024.

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Bibliography

2024
Scarecrows in Oz: The Use of Large Language Models in HRI.
ACM Trans. Hum. Robot Interact., 2024

Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization.
CoRR, 2024

Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection.
CoRR, 2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community.
CoRR, 2024

Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

Scarecrows in Oz: Large Language Models in HRI.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

GPT-4 as a Moral Reasoner for Robot Command Rejection.
Proceedings of the 12th International Conference on Human-Agent Interaction, 2024

An Efficient PDF Malware Detection Method Using Highly Compact Features.
Proceedings of the ACM Symposium on Document Engineering 2024, 2024

2023
Voice in the Machine: Ethical Considerations for Language-Capable Robots.
Commun. ACM, August, 2023

Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities.
Trans. Mach. Learn. Res., 2023

DDxT: Deep Generative Transformer Models for Differential Diagnosis.
CoRR, 2023

Measuring Equality in Machine Learning Security Defenses.
CoRR, 2023

A Comparative Analysis of VR-Based and Real-World Human-Robot Collaboration for Small-Scale Joining.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Does Starting Deep Learning Homework Earlier Improve Grades?
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

A PDF Malware Detection Method Using Extremely Small Training Sample Size.
Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset.
Proceedings of the IEEE International Conference on Big Data, 2023

Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Editorial: Special Issue on Robotics Collaborative Technology Alliance (RCTA) Program.
Field Robotics, March, 2022

Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang., 2022

Head Pose for Object Deixis in VR-Based Human-Robot Interaction.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Machine Learning in Human-Robot Collaboration: Bridging the Gap.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Augmenting Simulation Data with Sensor Effects for Improved Domain Transfer.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery.
CoRR, 2021

A Simulator for Human-Robot Interaction in Virtual Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Neural Variational Learning for Grounded Language Acquisition.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Adversarial Transfer Attacks With Unknown Data and Class Overlap.
Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020
Practical Cross-modal Manifold Alignment for Grounded Language.
CoRR, 2020

Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning.
CoRR, 2020

Robots That Use Language.
Annu. Rev. Control. Robotics Auton. Syst., 2020

Learning Object Attributes with Category-Free Grounded Language from Deep Featurization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sampling Approach Matters: Active Learning for Robotic Language Acquisition.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Planning with Abstract Learned Models While Learning Transferable Subtasks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Learning from human-robot interactions in modeled scenes.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Building Language-Agnostic Grounded Language Learning Systems.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Inferring Robot Morphology from Observation of Unscripted Movement.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Grounded Language Learning: Where Robotics and NLP Meet.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised Selection of Negative Examples for Grounded Language Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Semantic Knowledge and Privacy in the Physical Web.
Proceedings of the 4th Workshop on Society, 2016

2015
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Talking to Robots: Learning to Ground Human Language in Perception and Execution.
PhD thesis, 2014

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012
Reports of the AAAI 2012 Conference Workshops.
AI Mag., 2012

Learning to Parse Natural Language Commands to a Robot Control System.
Proceedings of the Experimental Robotics, 2012

A Joint Model of Language and Perception for Grounded Attribute Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Gambit: An autonomous chess-playing robotic system.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Following directions using statistical machine translation.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

2009
A spotlight on security and privacy risks with future household robots: attacks and lessons.
Proceedings of the UbiComp 2009: Ubiquitous Computing, 2009

2007
Guiding Inference with Policy Search Reinforcement Learning.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Autonomous Classification of Knowledge into an Ontology.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
Common Sense Reasoning - From Cyc to Intelligent Assistant.
Proceedings of the Ambient Intelligence in Everyday Life - Foreword by Emile Aarts, 2006

Automated Population of Cyc: Extracting Information about Named-entities from the Web.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

An Introduction to the Syntax and Content of Cyc.
Proceedings of the Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006

2005
Converting Semantic Meta-knowledge into Inductive Bias.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc.
Proceedings of the Knowledge Collection from Volunteer Contributors, 2005

A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment.
Proceedings of the Proceedings, 2005

Searching for Common Sense: Populating Cyc™ from the Web.
Proceedings of the Proceedings, 2005


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