Huzefa Rangwala

Affiliations:
  • George Mason University, Fairfax VA, USA


According to our database1, Huzefa Rangwala authored at least 159 papers between 2005 and 2022.

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Bibliography

2022
SoFaiR: Single Shot Fair Representation Learning.
CoRR, 2022

Improving Zero-Shot Event Extraction via Sentence Simplification.
CoRR, 2022

Trade-offs between Group Fairness Metrics in Societal Resource Allocation.
CoRR, 2022

FairEd: A Systematic Fairness Analysis Approach Applied in a Higher Educational Context.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Trade-offs between Group Fairness Metrics in Societal Resource Allocation.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Causal Knowledge Guided Societal Event Forecasting.
CoRR, 2021

Cross-Lingual Text Classification of Transliterated Hindi and Malayalam.
CoRR, 2021

Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling.
CoRR, 2021

Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
Proceedings of the SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri, USA, November 14, 2021

Using Role-Plays to Improve Ethical Understanding of Algorithms Among Computing Students.
Proceedings of the IEEE Frontiers in Education Conference, 2021

Understanding Event Predictions via Contextualized Multilevel Feature Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Improving Sign Video Modeling Using Graph Neural Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Asynchronous Federated Learning for Sensor Data with Concept Drift.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education.
Proceedings of the ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, 2021

Learning Smooth and Fair Representations.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fair Representations by Compression.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR, 2020

Generative Multi-Stream Architecture For American Sign Language Recognition.
CoRR, 2020

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services.
CoRR, 2020

Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift.
CoRR, 2020

IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data.
Bioinform., 2020

Expressive ASL Recognition using Millimeter-wave Wireless Signals.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Homicidal Event Forecasting and Interpretable Analysis Using Hierarchical Attention Model.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

Diversity-Based Generalization for Unsupervised Text Classification Under Domain Shift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets.
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), 2020

Dynamic Knowledge Graph based Multi-Event Forecasting.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Metric-Free Individual Fairness with Cooperative Contextual Bandits.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

FineHand: Learning Hand Shapes for American Sign Language Recognition.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Using online text books and in-class quizzes to predict in class performance.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Common-Knowledge Concept Recognition for SEVA.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Improving large-scale hierarchical classification by rewiring: a data-driven filter based approach.
J. Intell. Inf. Syst., 2019

Technological barriers and incentives to learning analytics adoption in higher education: insights from users.
J. Comput. High. Educ., 2019

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction.
CoRR, 2019

Low Rank Factorization for Compact Multi-Head Self-Attention.
CoRR, 2019

Asynchronous Online Federated Learning for Edge Devices.
CoRR, 2019

Federated Multi-task Hierarchical Attention Model for Sensor Analytics.
CoRR, 2019

Multi-Differential Fairness Auditor for Black Box Classifiers.
CoRR, 2019

Event Detection using Hierarchical Multi-Aspect Attention.
Proceedings of the World Wide Web Conference, 2019

Reliable Deep Grade Prediction with Uncertainty Estimation.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Spatio-temporal Event Forecasting and Precursor Identification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Dynamic Context Graphs for Predicting Social Events.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

mdfa: Multi-Differential Fairness Auditor for Black Box Classifiers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Guiding testing effort using mutant utility.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Academic Performance Estimation with Attention-based Graph Convolutional Networks.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Grade Prediction with Neural Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Sign Language Recognition Analysis using Multimodal Data.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Attention-based Multi-task Learning for Sensor Analytics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Large Scale Hierarchical Classification: State of the Art
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-01619-7, 2018

Relational Network Classification and Its Applications in Recommender Systems.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums.
Comput. Educ., 2018

ALE: Additive Latent Effect Models for Grade Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

From Language to Location Using Multiple Instance Neural Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Forecasting Gang Homicides with Multi-level Multi-task Learning.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Course-Specific Markovian Models for Grade Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Running out of STEM: a comparative study across STEM majors of college students at-risk of dropping out early.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

An intuitive muscle-computer interface using ultrasound sensing and Markovian state transitions.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

RegMIL: Phenotype Classification from Metagenomic Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

When do Crowds Turn Violent? Uncovering Triggers from Media.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Early Identification of At-Risk Students Using Iterative Logistic Regression.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Metagenome sequence clustering with hash-based canopies.
J. Bioinform. Comput. Biol., 2017

HierFlat: flattened hierarchies for improving top-down hierarchical classification.
Int. J. Data Sci. Anal., 2017

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A Novel Self-Paced Model for Teaching Programming.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Integrated Framework for Improving Large-Scale Hierarchical Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Uniform Representation for Trajectory Learning Tasks.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Grade Prediction with Temporal Course-wise Influence.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Enriching Course-Specific Regression Models with Content Features for Grade Prediction.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Real-Time Classification of Hand Motions Using Ultrasound Imaging of Forearm Muscles.
IEEE Trans. Biomed. Eng., 2016

Filter based Taxonomy Modification for Improving Hierarchical Classification.
CoRR, 2016

Predicting Student Performance Using Personalized Analytics.
Computer, 2016

Large-scale hierarchical classification with rare categories and inconsistencies.
AI Matters, 2016

Using Learning Analytics to Trace Academic Trajectories of CS and IT Students to Better Understanding Successful Pathways to Graduation (Abstract Only).
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Real-time, ultrasound-based control of a virtual hand by a trans-radial amputee.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Next-Term Student Performance Prediction: A Recommender Systems Approach.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Predicting Performance on MOOC Assessments using Multi-Regression Models.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Inconsistent Node Flattening for Improving Top-Down Hierarchical Classification.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Embedding feature selection for large-scale hierarchical classification.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Predicting Protein Function Using Multiple Kernels.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients.
Int. J. Bioinform. Res. Appl., 2015

Predicting Preference Tags to Improve Item Recommendation.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Approximate block coordinate descent for large scale hierarchical classification.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Recommending Temporally Relevant News Content from Implicit Feedback Data.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Predicting New Friendships in Social Networks.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

What Are We Teaching?: Automated Evaluation of CS Curricula Content Using Topic Modeling.
Proceedings of the eleventh annual International Conference on International Computing Education Research, 2015

Predicting Clinical Phenotype Using OTU-Based Metagenome Representation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

A ranking-based approach for hierarchical classification.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Next-term student grade prediction.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Protein Function Prediction withIncomplete Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Erratum to "Protein Function Prediction Using Multilabel Ensemble Classification".
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Guest Editorial for Special Section on BIOKDD2013.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Classifying Protein Sequences Using Regularized Multi-Task Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

FLIP: Active Learning for Relational Network Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Machine Learning Approaches for Metagenomics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Convex multi-task relationship learning using hinge loss.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Protein Function Prediction Using Multilabel Ensemble Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Improving network response times using social information.
Soc. Netw. Anal. Min., 2013

16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing.
BMC Syst. Biol., 2013

MC-MinH: Metagenome Clustering using Minwise based Hashing.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Joint Segmentation and Clustering in Text Corpuses.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Sparsification and Sampling of Networks for Collective Classification.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Protein Function Prediction Using Dependence Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Relevant Subsequence Detection with Sparse Dictionary Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Map-Reduce Framework for Clustering Metagenomes.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Protein Function Prediction by Integrating Multiple Kernels.
Proceedings of the IJCAI 2013, 2013

Classifying Documents within Multiple Hierarchical Datasets Using Multi-task Learning.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2012
Metagenomic Taxonomic Classification Using Extreme Learning Machines.
J. Bioinform. Comput. Biol., 2012

Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Beam Methods for the Profile Hidden Markov Model.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Family of Feed-Forward Models for Protein Sequence Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Feature Enriched Nonparametric Bayesian Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Malware Characterization Using Behavioral Components.
Proceedings of the Computer Network Security, 2012

Transductive multi-label ensemble classification for protein function prediction.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-label Collective Classification Using Adaptive Neighborhoods.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Multi-task Learning for Classifying Proteins Using Dual Hierarchies.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Classification and clustering in metagenomics with unified data management and computational framework.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

LSH-Div: Species diversity estimation using locality sensitive hashing.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Protein function prediction using weak-label learning.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Detection of Communities and Bridges in Weighted Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

A Hidden Markov Model Variant for Sequence Classification.
Proceedings of the IJCAI 2011, 2011

Analysis of Microbiome Data across Inflammatory Bowel Disease Patients.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

GPU-Euler: Sequence Assembly Using GPGPU.
Proceedings of the 13th IEEE International Conference on High Performance Computing & Communication, 2011

Profiling Microbial Communities using SSU rRNA Sequence and LH-PCR Data.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

TAC-ELM: Metagenomic Taxonomic Classification with Extreme Learning Machines.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

An Information Theoretic Approach for the Analysis of RNA and DNA Binding Sites.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

Predicting Network Response Times Using Social Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Toptmh: Topology Predictor for transmembrane alpha-helices.
J. Bioinform. Comput. Biol., 2010

Defining a Coparticipation Network Using Comments on Digg.
IEEE Intell. Syst., 2010

Co-Participation Networks Using Comment Information.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Multiple Kernel Learning for Fold Recognition.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

Evaluation of short read metagenomic assembly.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets.
J. Chem. Inf. Model., 2009

<i>svm</i>PRAT: SVM-based Protein Residue Annotation Toolkit.
BMC Bioinform., 2009

A Kernel Framework for Protein Residue Annotation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Genome Alignments Using MPI-LAGAN.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

fRMSDAlign: Protein Sequence Alignment Using Predicted Local Structure Information for Pairs with Low Sequence Identity.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

2007
Incremental window-based protein sequence alignment algorithms.
Bioinform., 2007

2006
Building multiclass classifiers for remote homology detection and fold recognition.
BMC Bioinform., 2006

2005
Profile-based direct kernels for remote homology detection and fold recognition.
Bioinform., 2005

Feature Mining for Prediction of Degree of Liver Fibrosis.
Proceedings of the AMIA 2005, 2005


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