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Luke Buquicchio
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2020 – today
- 2023
- [j5]Abdulaziz Alajaji
, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu
Domain Adaptation Methods for Lab-to-Field Human Context Recognition. Sensors 23(6): 3081 (2023) - [j4]Hamid Mansoor
INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. Vis. Informatics 7(2): 13-29 (2023) - [c21]Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Stabilizing Adversarial Training for Generative Networks. IEEE Big Data 2023: 5223-5232 - [c20]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Adversarial Human Context Recognition: Evasion Attacks and Defenses. COMPSAC 2023: 223-232 - [c19]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes. ICHI 2023: 420-429 - [c18]Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu:
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes. NeurIPS 2023 - 2022
- [c17]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI 2022: 6694-6702 - [c16]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. CIKM 2022: 582-591 - [c15]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition. PerCom Workshops 2022: 155-161 - [c14]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Positive Unlabeled Learning with a Sequential Selection Bias. SDM 2022: 19-27 - 2021
- [j3]Hamid Mansoor
Visual Analytics of Smartphone-Sensed Human Behavior and Health. IEEE Computer Graphics and Applications 41(3): 96-104 (2021) - [j2]Abdulaziz Alajaji
Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. IEEE Pervasive Comput. 20(1): 50-61 (2021) - [j1]Hamid Mansoor
ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. Vis. Informatics 5(3): 39-53 (2021) - [c13]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). IEEE BigData 2021: 994-1001 - [c12]Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. IEEE BigData 2021: 4705-4714 - [c11]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Exploratory Data Analysis of Population Level Smartphone-Sensed Data. VISIGRAPP (Revised Selected Papers) 2021: 206-231 - [c10]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. ICMLA 2021: 345-350 - [c9]Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. ICMLA 2021: 1010-1015 - [c8]Hamid Mansoor
PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering. VISIGRAPP (3: IVAPP) 2021: 64-75 - [c7]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. NeurIPS 2021: 15981-15992 - [c6]Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke A. Rundensteiner:
CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data. SMARTCOMP 2021: 39-46 - 2020
- [c5]Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. IEEE BigData 2020: 147-154 - [c4]Hamid Mansoor
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. IEEE BigData 2020: 4882-4891 - [c3]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition. ICSC 2020: 53-60 - [c2]Hamid Mansoor
ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. EuroVis (Short Papers) 2020: 25-29
2010 – 2019
- 2019
- [c1]Hamid Mansoor
COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics. COMPSAC (2) 2019: 233-238
Coauthor Index
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