Luke Buquicchio

According to our database, Luke Buquicchio authored at least 26 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner, Angela Incollingo Rodriguez

Vis. Informatics, June, 2023

Domain Adaptation Methods for Lab-to-Field Human Context Recognition.

Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner

Sensors, March, 2023

Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes.

Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Adversarial Human Context Recognition: Evasion Attacks and Defenses.

Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Stabilizing Adversarial Training for Generative Networks.

Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Positive Unlabeled Learning with a Sequential Selection Bias.

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition.

Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Recovering the Propensity Score from Biased Positive Unlabeled Data.

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Vis. Informatics, 2021

Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts.

Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner

IEEE Pervasive Comput., 2021

Visual Analytics of Smartphone-Sensed Human Behavior and Health.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

IEEE Computer Graphics and Applications, 2021

CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data.

Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the IEEE International Conference on Smart Computing, 2021

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets.

Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces.

Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Exploratory Data Analysis of Population Level Smartphone-Sensed Data.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus.

Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Variational Open Set Recognition (VOSR).

Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms.

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 22nd Eurographics Conference on Visualization, 2020

DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition.

Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data.

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias.

Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics.

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019