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2020 – today
- 2023
[j113]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)- [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) - [c388]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 - [c387]Kathleen Cachel, Elke A. Rundensteiner:
Fair&Share: Fast and Fair Multi-Criteria Selections. CIKM 2023: 152-162 - [c386]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 - [c385]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 - [c384]Kathleen Cachel, Elke A. Rundensteiner:
Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation. FAccT 2023: 1347-1357 - [c383]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 - [c382]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 - [i16]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) - [i15]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) - 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 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) - [c381]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI 2022: 6694-6702 - [c380]Kathleen Cachel, Elke A. Rundensteiner:
FINS Auditing Framework: Group Fairness for Subset Selections. AIES 2022: 144-155 - [c379]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 - [c378]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 - [c377]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 - [c376]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 - [c375]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 - [c374]Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CIKM 2022: 696-705 - [c373]Saskia Senn, M. L. Tlachac, Ricardo Flores, Elke A. Rundensteiner:
Ensembles of BERT for Depression Classification. EMBC 2022: 4691-4694 - [c372]Ricardo Flores, M. L. Tlachac, Elke A. Rundensteiner:
Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. GoodIT 2022: 103-109 - [c371]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 - [c370]Ricardo Flores, M. L. Tlachac, Avantika Shrestha, Elke A. Rundensteiner:
Temporal Facial Features for Depression Screening. UbiComp/ISWC Adjunct 2022: 488-493 - [c369]Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison:
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. ICDE 2022: 1124-1137 - [c368]Ramesh Doddaiah, Prathyush S. Parvatharaju, Elke A. Rundensteiner, Thomas Hartvigsen:
Class-Specific Explainability for Deep Time Series Classifiers. ICDM 2022: 101-110 - [c367]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 - [c366]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 - [c365]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 - [c364]Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
AudiFace: Multimodal Deep Learning for Depression Screening. MLHC 2022: 609-630 - [c363]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 - [c362]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 - [c361]Lei Ma, Chuan Lei, Olga Poppe, Elke A. Rundensteiner:
Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation. SIGMOD Conference 2022: 1122-1135 - [c360]Noura S. Alghamdi, Liang Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
Scalable Time Series Compound Infrastructure. SIGMOD Conference 2022: 1685-1698 - [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 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]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. IEEE BigData 2020: 1449-1454 - [c332]Biao Yin, Thomas A. Considine, Fatemeh Emdad, John V. Kelley, Robert E. Jensen, Elke A. Rundensteiner:
Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural Tests. IEEE BigData 2020: 2929-2936 - [c331]Ramoza Ahsan, Rodica Neamtu, Muzammil Bashir, Elke A. Rundensteiner, Gábor N. Sárközy:
Correlation-Based Analytics of Time Series Data. IEEE BigData 2020: 4482-4491 - [c330]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. IEEE BigData 2020: 4882-4891 - [c329]Erin Teeple, Caitlin Kuhlman, Brandon Werner, Randy C. Paffenroth, Elke A. Rundensteiner:
Air Quality and Cause-specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014. HEALTHINF 2020: 228-236 - [c328]Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal T. Claypool, Elke A. Rundensteiner:
Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection. HEALTHINF 2020: 656-663 - [c327]Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Learning to Selectively Update State Neurons in Recurrent Networks. CIKM 2020: 485-494 - [c326]Allison Rozet, Olga Poppe, Chuan Lei, Elke A. Rundensteiner:
Muse: Multi-query Event Trend Aggregation. CIKM 2020: 2193-2196 - [c325]M. L. Tlachac, Elke A. Rundensteiner:
Depression Screening from Text Message Reply Latency. EMBC 2020: 5490-5493 - [c324]M. L. Tlachac, Elke A. Rundensteiner, Kerri Barton, T. Scott Troppy, Kirthana Beaulac, Shira Doron:
Anomalous Antimicrobial Susceptibility Trend Identification*. EMBC 2020: 5880-5883 - [c323]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner:
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events. EMNLP (Findings) 2020: 3414-3423 - [c322]Noura Alghamdi, Liang Zhang, Huayi Zhang, Elke A. Rundensteiner, Mohamed Y. Eltabakh:
ChainLink: Indexing Big Time Series Data For Long Subsequence Matching. ICDE 2020: 529-540 - [c321]M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner:
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. ICMLA 2020: 302-307 - [c320]Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner:
Audio-based Depression Screening using Sliding Window Sub-clip Pooling. ICMLA 2020: 791-796 - [c319]Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Recurrent Halting Chain for Early Multi-label Classification. KDD 2020: 1382-1392 - [c318]Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke A. Rundensteiner:
Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020: 566-588 - [c317]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 - [c316]Huayi Zhang, Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner:
Continuously Adaptive Similarity Search. SIGMOD Conference 2020: 2601-2616 - [c315]Liang Zhang, Noura Alghamdi, Mohamed Y. Eltabakh, Elke A. Rundensteiner:
Big Data Series Analytics Using TARDIS and its Exploitation in Geospatial Applications. SIGMOD Conference 2020: 2785-2788 - [c314]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. EuroVis (Short Papers) 2020: 25-29 - [i6]Olga Poppe, Chuan Lei, Elke A. Rundensteiner, David Maier:
Event Trend Aggregation Under Rich Event Matching Semantics. CoRR abs/2010.02987 (2020) - [i5]Olga Poppe, Chuan Lei, Elke A. Rundensteiner, David Maier:
GRETA: Graph-based Real-time Event Trend Aggregation. CoRR abs/2010.02988 (2020) - [i4]Olga Poppe, Allison Rozet, Chuan Lei, Elke A. Rundensteiner, David Maier:
Sharon: Shared Online Event Sequence Aggregation. CoRR abs/2010.02989 (2020) - [i3]Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
MLAS: Metric Learning on Attributed Sequences. CoRR abs/2011.04062 (2020)
2010 – 2019
- 2019
- [j96]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions. Comput. Graph. Forum 38(3): 95-106 (2019) - [j95]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
Automatic emotion detection in text streams by analyzing Twitter data. Int. J. Data Sci. Anal. 7(1): 35-51 (2019) - [j94]Abhishek Mukherji, Xika Lin, Ermal Toto, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward:
FIRE: a two-level interactive visualization for deep exploration of association rules. Int. J. Data Sci. Anal. 7(3): 201-226 (2019) - [j93]Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner, Mathan Gopalsamy:
Efficient Discovery of Sequence Outlier Patterns. Proc. VLDB Endow. 12(8): 920-932 (2019) - [c313]Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining. BHI 2019: 1-4 - [c312]M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner:
You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression. BHI 2019: 1-4 - [c311]Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. IEEE BigData 2019: 930-939 - [c310]Zhongfang Zhuang,