Elke A. Rundensteiner

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 196

Top Venues

Publications

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI (2024)
Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke A. Rundensteiner
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics. CoRR (2024)
Huayi Zhang, Binwei Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner
MetaStore: Analyzing Deep Learning Meta-Data at Scale. Proc. VLDB Endow. 17 (6) (2024)
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
Explaining deep multi-class time series classifiers. Knowl. Inf. Syst. 66 (6) (2024)
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)
Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. SDM (2024)
Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim
climber++: Pivot-Based Approximate Similarity Search over Big Data Series. CoRR (2024)
Dongyu Zhang, Ruofan Hu, Elke A. Rundensteiner
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance. CoRR (2024)
Kathleen Cachel, Elke A. Rundensteiner
PreFAIR: Combining Partial Preferences for Fair Consensus Decision-making. FAccT (2024)
Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics. FAccT (2024)
Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim
CLIMBER: Pivot-Based Approximate Similarity Search Over Big Data Series. ICDE (2024)
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) (2023)
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 (2023)
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)
Kathleen Cachel, Elke A. Rundensteiner
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation. FAccT (2023)
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. BigData (2023)
Biao Yin, Yangyang Fan, Nicholas Josselyn, Elke A. Rundensteiner
AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. ICMLA (2023)
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)
Peter M. VanNostrand, Huayi Zhang, Dennis M. Hofmann, Elke A. Rundensteiner
FACET: Robust Counterfactual Explanation Analytics. Proc. ACM Manag. Data 1 (4) (2023)
Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner
AutoOD: Automatic Outlier Detection. Proc. ACM Manag. Data 1 (1) (2023)
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. BigData (2023)
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 (2023)
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) (2023)
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)
Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. AAAI (2023)
Kathleen Cachel, Elke A. Rundensteiner
Fair&Share: Fast and Fair Multi-Criteria Selections. CIKM (2023)
Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner
DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task. BigData (2023)
Thomas Hartvigsen, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks. CoRR (2023)
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)
Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
Adversarial Human Context Recognition: Evasion Attacks and Defenses. COMPSAC (2023)
Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner
Multi-Task Learning Using Facial Features for Mental Health Screening. BigData (2023)
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) (2023)
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)
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) (2023)
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)
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
Class-Specific Explainability for Deep Time Series Classifiers. ICDM (2022)
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI (2022)
Lei Ma, Chuan Lei, Olga Poppe, Elke A. Rundensteiner
Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation. SIGMOD Conference (2022)
Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. CoRR (2022)
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 (2022)
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. Big Data (2022)
Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner
BERT Variants for Depression Screening with Typed and Transcribed Responses. UbiComp/ISWC Adjunct (2022)
Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. ICDE (2022)
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
Stop&Hop: Early Classification of Irregular Time Series. CIKM (2022)
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) (2022)
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)
Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. GoodIT (2022)
Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner
Ensembles of BERT for Depression Classification. EMBC (2022)
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)
Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen
Class-Specific Explainability for Deep Time Series Classifiers. CoRR (2022)
Kathleen Cachel, Elke A. Rundensteiner
FINS Auditing Framework: Group Fairness for Subset Selections. AIES (2022)
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) (2022)
Nicholas Josselyn, Biao Yin, Thomas A. Considine, John V. Kelley, Berend 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)
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) (2022)
Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke A. Rundensteiner, Emmanuel Agu
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. Big Data (2022)
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison
FairFuse: Interactive Visual Support for Fair Consensus Ranking. CoRR (2022)
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) (2022)
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)
Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner
AudiFace: Multimodal Deep Learning for Depression Screening. MLHC (2022)
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A. Rundensteiner, Lane Harrison
FairFuse: Interactive Visual Support for Fair Consensus Ranking. IEEE VIS (Short Papers) (2022)
Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner
Temporal Facial Features for Depression Screening. UbiComp/ISWC Adjunct (2022)
Mallak Alkhathlan, M. L. Tlachac, Lane Harrison, Elke A. Rundensteiner
Improving Image Accessibility by Combining Haptic and Auditory Feedback. ASSETS (2022)
Nicholas Josselyn, Biao Yin, Ziming Zhang, Elke A. Rundensteiner
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? Big Data (2022)
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)
Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. CoRR (2022)
Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner
Stop&Hop: Early Classification of Irregular Time Series. CoRR (2022)
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. CIKM (2022)
Dennis M. Hofmann, Peter 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) (2022)
Noura S. Alghamdi, Liang Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh
Scalable Time Series Compound Infrastructure. SIGMOD Conference (2022)
Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui
One-Shot Learning on Attributed Sequences. CoRR (2022)
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)
Huayi Zhang, Lei Cao, Samuel Madden, Elke A. Rundensteiner
LANCET: Labeling Complex Data at Scale. Proc. VLDB Endow. 14 (11) (2021)
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)
Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner
Learning Saliency Maps to Explain Deep Time Series Classifiers. CIKM (2021)
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)
Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner
Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. AIES (2021)
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)
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)
Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. CIKM (2021)
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) (2021)
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)
Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews. ICMLA (2021)
M. L. Tlachac, Katherine Dixon-Gordon, Elke A. Rundensteiner
Screening for Suicidal Ideation with Text Messages. BHI (2021)
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)
M. L. Tlachac, Veronica Melican, Miranda Reisch, Elke A. Rundensteiner
Mobile Depression Screening with Time Series of Text Logs and Call Logs. BHI (2021)
M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner
EMU: Early Mental Health Uncovering Framework and Dataset. ICMLA (2021)
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) (2021)
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)
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) (2021)
Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. NeurIPS (2021)
Huayi Zhang, Lei Cao, Peter VanNostrand, Samuel Madden, Elke A. Rundensteiner
ELITE: Robust Deep Anomaly Detection with Meta Gradient. KDD (2021)
Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner
Corrosion Image Data Set for Automating Scientific Assessment of Materials. BMVC (2021)
Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. IEEE BigData (2021)
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) (2021)
Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Semi-Supervised Knowledge Amalgamation for Sequence Classification. AAAI (2021)
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 (2021)
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)
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)
Caitlin Kuhlman, Elke A. Rundensteiner
Rank Aggregation Algorithms for Fair Consensus. Proc. VLDB Endow. 13 (11) (2020)
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Learning Similarity-Preserving Meta-Embedding for Text Mining. IEEE BigData (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Elke A. Rundensteiner