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ORCIDElke A. Rundensteiner
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- affiliation: Worcester Polytechnic Institute, MA, USA
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2020 – today
- 2024
[j119]Harriet Sibitenda
, Awa Diattara, Assitan Traore, Ruofan Hu, Dongyu Zhang, Elke A. Rundensteiner, Cheikh Ba:
Extracting Semantic Topics About Development in Africa From Social Media. IEEE Access 12: 142343-142359 (2024)- [j118]Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen:
Explaining deep multi-class time series classifiers. Knowl. Inf. Syst. 66(6): 3497-3521 (2024) - [j117]Lei Ma, Lei Cao, Peter M. VanNostrand, Dennis M. Hofmann, Yao Su, Elke A. Rundensteiner:
Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data. Proc. ACM Manag. Data 2(4): 203:1-203:25 (2024) - [j116]Huayi Zhang, Binwei Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
MetaStore: Analyzing Deep Learning Meta-Data at Scale. Proc. VLDB Endow. 17(6): 1446-1459 (2024) - [j115]Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Belisha Genin, Randy Huang, Elke A. Rundensteiner:
Counterfactual Explanation Analytics: Empowering Lay Users to Take Action Against Consequential Automated Decisions. Proc. VLDB Endow. 17(12): 4349-4352 (2024) - [c405]Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI 2024: 15346-15354 - [c404]Kathleen Cachel, Elke A. Rundensteiner:
Wise Fusion: Group Fairness Enhanced Rank Fusion. CIKM 2024: 163-174 - [c403]Kathleen Cachel, Elke A. Rundensteiner:
FairRankTune: A Python Toolkit for Fair Ranking Tasks. CIKM 2024: 5195-5199 - [c402]Kathleen Cachel, Elke A. Rundensteiner:
PreFAIR: Combining Partial Preferences for Fair Consensus Decision-making. FAccT 2024: 1133-1149 - [c401]Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke A. Rundensteiner:
Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding. FAccT 2024: 1682-1700 - [c400]Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner:
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics. FAccT 2024: 1940-1970 - [c399]Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim:
CLIMBER: Pivot-Based Approximate Similarity Search Over Big Data Series. ICDE 2024: 3933-3946 - [c398]Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner:
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. SDM 2024: 82-90 - [i20]Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner:
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. CoRR abs/2401.05458 (2024) - [i19]Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim:
climber++: Pivot-Based Approximate Similarity Search over Big Data Series. CoRR abs/2404.09637 (2024) - [i18]Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner:
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics. CoRR abs/2407.17459 (2024) - 2023
- [j114]Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner:
AutoOD: Automatic Outlier Detection. Proc. ACM Manag. Data 1(1): 20:1-20:27 (2023) - [j113]Peter M. VanNostrand, Huayi Zhang, Dennis M. Hofmann, Elke A. Rundensteiner:
FACET: Robust Counterfactual Explanation Analytics. Proc. ACM Manag. Data 1(4): 242:1-242:27 (2023) - [j112]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Domain Adaptation Methods for Lab-to-Field Human Context Recognition. Sensors 23(6): 3081 (2023) - [j111]M. L. Tlachac, Avantika Shrestha, Mahum Shah, Benjamin Litterer, Elke A. Rundensteiner:
Automated Construction of Lexicons to Improve Depression Screening With Text Messages. IEEE J. Biomed. Health Informatics 27(6): 2751-2759 (2023) - [j110]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner, Angela Incollingo Rodriguez:
INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. Vis. Informatics 7(2): 13-29 (2023) - [j109]Liang Zhang, Noura Alghamdi, Huayi Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner:
PARROT: pattern-based correlation exploitation in big partitioned data series. VLDB J. 32(3): 665-688 (2023) - [c397]Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. AAAI 2023: 9980-9988 - [c396]Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner:
Multi-Task Learning Using Facial Features for Mental Health Screening. IEEE Big Data 2023: 4881-4890 - [c395]Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner:
DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task. IEEE Big Data 2023: 5213-5222 - [c394]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 - [c393]Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner:
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. IEEE Big Data 2023: 5250-5259 - [c392]Kathleen Cachel, Elke A. Rundensteiner:
Fair&Share: Fast and Fair Multi-Criteria Selections. CIKM 2023: 152-162 - [c391]Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke A. Rundensteiner, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder:
MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. CIKM 2023: 5128-5132 - [c390]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 - [c389]Kathleen Cachel, Elke A. Rundensteiner:
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation. FAccT 2023: 1347-1357 - [c388]Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison:
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking. FAccT 2023: 1685-1698 - [c387]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 - [c386]Biao Yin, Yangyang Fan, Nicholas Josselyn, Elke A. Rundensteiner:
AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. ICMLA 2023: 1649-1655 - [c385]Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. ICMLA 2023: 1662-1668 - [c384]Mallak Alkhathlan, M. L. Tlachac, Elke A. Rundensteiner:
Haptic Auditory Feedback for Enhanced Image Description: A Study of User Preferences and Performance. INTERACT (1) 2023: 224-246 - [c383]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 - [i17]Thomas Hartvigsen, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks. CoRR abs/2302.04052 (2023) - [i16]Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison:
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking. CoRR abs/2308.06233 (2023) - [i15]Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner:
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. CoRR abs/2312.01225 (2023) - 2022
- [j108]Xika Lin, Abhishek Mukherji, Elke A. Rundensteiner, Matthew O. Ward:
PARAS$^{\mathrm{c}}$: a parameter space-driven approach for complete association rule mining. Int. J. Data Sci. Anal. 14(4): 407-438 (2022) - [j107]M. L. Tlachac, Ricardo Flores, Miranda Reisch, Katie Houskeeper, Elke A. Rundensteiner:
DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected during the COVID-19 Pandemic to Screen for Mental Illnesses. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 75:1-75:32 (2022) - [j106]M. L. Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke A. Rundensteiner:
StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 76:1-76:32 (2022) - [j105]Dennis M. Hofmann, Peter M. VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
A Demonstration of AutoOD: A Self-tuning Anomaly Detection System. Proc. VLDB Endow. 15(12): 3706-3709 (2022) - [j104]Rodica Neamtu, Ramoza Ahsan, Cuong Nguyen, Charles Lovering, Elke A. Rundensteiner, Gábor N. Sárközy:
A General Approach for Supporting Time Series Matching Using Multiple-Warped Distances. IEEE Trans. Knowl. Data Eng. 34(4): 1516-1529 (2022) - [c382]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI 2022: 6694-6702 - [c381]Kathleen Cachel, Elke A. Rundensteiner:
FINS Auditing Framework: Group Fairness for Subset Selections. AIES 2022: 144-155 - [c380]Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner:
Improving Image Accessibility by Combining Haptic and Auditory Feedback. ASSETS 2022: 56:1-56:6 - [c379]M. L. Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke A. Rundensteiner:
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. IEEE Big Data 2022: 2804-2813 - [c378]Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke A. Rundensteiner, Emmanuel Agu:
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. IEEE Big Data 2022: 5233-5242 - [c377]Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner:
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? IEEE Big Data 2022: 5504-5513 - [c376]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 - [c375]Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CIKM 2022: 696-705 - [c374]Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner:
Ensembles of BERT for Depression Classification. EMBC 2022: 4691-4694 - [c373]Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner:
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. GoodIT 2022: 103-109 - [c372]Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner:
BERT Variants for Depression Screening with Typed and Transcribed Responses. UbiComp/ISWC Adjunct 2022: 211-215 - [c371]Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner:
Temporal Facial Features for Depression Screening. UbiComp/ISWC Adjunct 2022: 488-493 - [c370]Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison:
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. ICDE 2022: 1124-1137 - [c369]Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen:
Class-Specific Explainability for Deep Time Series Classifiers. ICDM 2022: 101-110 - [c368]Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Transferring Indoor Corrosion Image Assessment Models to Outdoor Images via Domain Adaptation. ICMLA 2022: 1386-1391 - [c367]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De, Thang La:
ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems. VISIGRAPP (3: IVAPP) 2022: 38-50 - [c366]Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke A. Rundensteiner:
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks. LREC 2022: 6212-6222 - [c365]Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
AudiFace: Multimodal Deep Learning for Depression Screening. MLHC 2022: 609-630 - [c364]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 - [c363]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 - [c362]Lei Ma, Chuan Lei, Olga Poppe, Elke A. Rundensteiner:
Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation. SIGMOD Conference 2022: 1122-1135 - [c361]Noura S. Alghamdi, Liang Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
Scalable Time Series Compound Infrastructure. SIGMOD Conference 2022: 1685-1698 - [c360]Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison:
FairFuse: Interactive Visual Support for Fair Consensus Ranking. IEEE VIS (Short Papers) 2022: 65-69 - [i14]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui:
One-Shot Learning on Attributed Sequences. CoRR abs/2201.09202 (2022) - [i13]Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke A. Rundensteiner:
TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks. CoRR abs/2205.10726 (2022) - [i12]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. CoRR abs/2206.06775 (2022) - [i11]Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison:
FairFuse: Interactive Visual Support for Fair Consensus Ranking. CoRR abs/2207.07765 (2022) - [i10]Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison:
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. CoRR abs/2207.10020 (2022) - [i9]Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CoRR abs/2208.09795 (2022) - [i8]Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen:
Class-Specific Explainability for Deep Time Series Classifiers. CoRR abs/2210.05411 (2022) - 2021
- [j103]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Visual Analytics of Smartphone-Sensed Human Behavior and Health. IEEE Computer Graphics and Applications 41(3): 96-104 (2021) - [j102]Tabassum Kakar, Xiao Qin, Thang La, Sanjay K. Sahoo, Suranjan De, Elke A. Rundensteiner, Lane Harrison:
SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage. Comput. Graph. Forum 40(3): 263-274 (2021) - [j101]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. IEEE Pervasive Comput. 20(1): 50-61 (2021) - [j100]Huayi Zhang, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
LANCET: Labeling Complex Data at Scale. Proc. VLDB Endow. 14(11): 2154-2166 (2021) - [j99]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. Vis. Informatics 5(3): 39-53 (2021) - [c359]Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Semi-Supervised Knowledge Amalgamation for Sequence Classification. AAAI 2021: 9859-9867 - [c358]Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner:
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. AIES 2021: 674-682 - [c357]M. L. Tlachac, Katherine Dixon-Gordon, Elke A. Rundensteiner:
Screening for Suicidal Ideation with Text Messages. BHI 2021: 1-4 - [c356]M. L. Tlachac, Veronica Melican, Miranda Reisch, Elke A. Rundensteiner:
Mobile Depression Screening with Time Series of Text Logs and Call Logs. BHI 2021: 1-4 - [c355]Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Human-like Explanation for Text Classification With Limited Attention Supervision. IEEE BigData 2021: 957-967 - [c354]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 - [c353]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 - [c352]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. IEEE BigData 2021: 5143-5152 - [c351]Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
Corrosion Image Data Set for Automating Scientific Assessment of Materials. BMVC 2021: 102 - [c350]Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner:
Learning Saliency Maps to Explain Deep Time Series Classifiers. CIKM 2021: 1406-1415 - [c349]Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner:
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. CIKM 2021: 4145-4154 - [c348]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 - [c347]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 - [c346]Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. ICMLA 2021: 595-600 - [c345]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 - [c344]M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner:
EMU: Early Mental Health Uncovering Framework and Dataset. ICMLA 2021: 1311-1318 - [c343]Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner:
"Honestly I Never Really Thought About Adding a Description": Why Highly Engaged Tweets Are Inaccessible. INTERACT (1) 2021: 373-395 - [c342]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering. VISIGRAPP (3: IVAPP) 2021: 64-75 - [c341]Huayi Zhang, Lei Cao, Peter M. VanNostrand, Samuel Madden, Elke A. Rundensteiner:
ELITE: Robust Deep Anomaly Detection with Meta Gradient. KDD 2021: 2174-2182 - [c340]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. NeurIPS 2021: 15981-15992 - [c339]Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner:
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. SIGMOD Conference 2021: 1452-1464 - [c338]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 - [i7]Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner:
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. CoRR abs/2101.00361 (2021) - 2020
- [j98]Caitlin Kuhlman, Elke A. Rundensteiner:
Rank Aggregation Algorithms for Fair Consensus. Proc. VLDB Endow. 13(11): 2706-2719 (2020) - [j97]M. L. Tlachac, Elke A. Rundensteiner:
Screening For Depression With Retrospectively Harvested Private Versus Public Text. IEEE J. Biomed. Health Informatics 24(11): 3326-3332 (2020) - [c337]Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner:
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020: 4596-4608 - [c336]Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu:
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. IEEE BigData 2020: 147-154 - [c335]Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c334]Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Similarity-Preserving Meta-Embedding for Text Mining. IEEE BigData 2020: 808-817 - [c333]