Walter Gerych

Thomas Hartvigsen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Amalgamating Multi-Task Models with Heterogeneous Architectures.

[BibT_eX]

[DOI]

Xiangnan Kong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search.

[BibT_eX]

[DOI]

Praveen Venkateswaran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

[BibT_eX]

[DOI]

Angela Incollingo Rodriguez

Vis. Informatics, June, 2023

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

[BibT_eX]

[DOI]

Sensors, March, 2023

Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Adversarial Human Context Recognition: Evasion Attacks and Defenses.

[BibT_eX]

[DOI]

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

Stabilizing Adversarial Training for Generative Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.

[BibT_eX]

[DOI]

Thomas Hartvigsen

Xiangnan Kong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Positive Unlabeled Learning with a Sequential Selection Bias.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Stop&Hop: Early Classification of Irregular Time Series.

[BibT_eX]

[DOI]

Thomas Hartvigsen

Xiangnan Kong

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

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

[BibT_eX]

[DOI]

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

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks.

[BibT_eX]

[DOI]

Saitheeraj Thatigotla

Proceedings of the IEEE International Conference on Big Data, 2022

HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition.

[BibT_eX]

[DOI]

Joshua DeOliveira

Aruzhan Koshkarova

Proceedings of the IEEE International Conference on Big Data, 2022

Recovering the Propensity Score from Biased Positive Unlabeled Data.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Vis. Informatics, 2021

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

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2021

Visual Analytics of Smartphone-Sensed Human Behavior and Health.

[BibT_eX]

[DOI]

IEEE Computer Graphics and Applications, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2021

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Exploratory Data Analysis of Population Level Smartphone-Sensed Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Variational Open Set Recognition (VOSR).

[BibT_eX]

[DOI]

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

Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics.

[BibT_eX]

[DOI]

Caitlin Kuhlman

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

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

[BibT_eX]

[DOI]

Proceedings of the 22nd Eurographics Conference on Visualization, 2020

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias.

[BibT_eX]

[DOI]

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

2019

Classifying Depression in Imbalanced Datasets Using an Autoencoder- Based Anomaly Detection Approach.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

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

[BibT_eX]

[DOI]