Huzefa Rangwala

Jana Kosecka, Huzefa Rangwala, Panneer Selvam Santhalingam, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Protein Function Prediction Using Multilabel Ensemble Classification

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Inconsistent Node Flattening for Improving Top-Down Hierarchical Classification

Azad Naik, Huzefa Rangwala, H. Rangwala, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Course-Specific Markovian Models for Grade Prediction

Huzefa Rangwala, Qian Hu, 2018, PAKDD.

From Language to Location Using Multiple Instance Neural Networks

Huzefa Rangwala, Sneha Nagpaul, 2018 .

Protein function prediction using weak-label learning

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2012, BCB.

Metric-Free Individual Fairness with Cooperative Contextual Bandits pdf

Huzefa Rangwala, Qian Hu, 2020, ArXiv.

FLIP: Active Learning for Relational Network Classification

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2014, ECML/PKDD.

fRMSDPred: predicting local RMSD between structural fragments using sequence information.

George Karypis, Huzefa Rangwala, 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

Expressive ASL Recognition using Millimeter-wave Wireless Signals

Yuanqi Du, Huzefa Rangwala, Ding Zhang, 2020, 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

Academic Performance Estimation with Attention-based Graph Convolutional Networks pdf

Huzefa Rangwala, Qian Hu, H. Rangwala, 2019, EDM.

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation

Naren Ramakrishnan, Huzefa Rangwala, Liangjie Hong, 2017, RecSys.

Evaluation of short read metagenomic assembly

Huzefa Rangwala, Anveshi Charuvaka, H. Rangwala, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets

George Karypis, Huzefa Rangwala, Xia Ning, 2009, J. Chem. Inf. Model..

Using Predictive Analytics in Teaching and Advising: Promising Practices and Practical Considerations

Aditya Johri, Huzefa Rangwala, Jaime Lester, 2016 .

A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events

Naren Ramakrishnan, Wei Wang, Huzefa Rangwala, 2016, CIKM.

TAC-ELM: Metagenomic Taxonomic Classification with Extreme Learning Machines

Huzefa Rangwala, Zeehasham Rasheed, H. Rangwala, 2011, BICoB.

Novel Method for Predicting Dexterous Individual Finger Movements by Imaging Muscle Activity Using a Wearable Ultrasonic System

Huzefa Rangwala, Siddhartha Sikdar, Joseph J. Pancrazio, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Protein Function Prediction by Integrating Multiple Kernels

Zili Zhang, Huzefa Rangwala, Carlotta Domeniconi, 2013, IJCAI.

Guest editorial for special section on BIOKDD2013

Huzefa Rangwala, Gaurav Pandey, 2014, TCBB.

Sparsification and Sampling of Networks for Collective Classification

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2013, SBP.

Improving network response times using social information

Chen Liang, Angelos Stavrou, Huzefa Rangwala, 2012, Social Network Analysis and Mining.

Improving large-scale hierarchical classification by rewiring: a data-driven filter based approach

Azad Naik, Huzefa Rangwala, 2018, Journal of Intelligent Information Systems.

Multi-task Learning for Classifying Proteins Using Dual Hierarchies

Huzefa Rangwala, Anveshi Charuvaka, H. Rangwala, 2012, 2012 IEEE 12th International Conference on Data Mining.

STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting

Naren Ramakrishnan, Huzefa Rangwala, Chandan K. Reddy, 2018, SDM.

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs

Yifeng Gao, Jessica Lin, Huzefa Rangwala, 2017, ICDM.

Incremental window-based protein sequence alignment algorithms

George Karypis, Huzefa Rangwala, 2007, Bioinform..

Diversity-Based Generalization for Neural Unsupervised Text Classification under Domain Shift pdf

Huzefa Rangwala, Jitin Krishnan, Hemant Purohit, 2020, ArXiv.

Body Pose and Deep Hand-shape Feature Based American Sign Language Recognition

Jana Kosecka, Huzefa Rangwala, Panneer Selvam Santhalingam, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Learning Dynamic Context Graphs for Predicting Social Events

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2019, KDD.

Homicidal Event Forecasting and Interpretable Analysis Using Hierarchical Attention Model

Huzefa Rangwala, Jitin Krishnan, Angeela Acharya, 2020, SBP-BRiMS.

Attention Realignment and Pseudo-Labelling for Interpretable Cross-Lingual Classification of Crisis Tweets

Huzefa Rangwala, Jitin Krishnan, Hemant Purohit, 2020, KiML@KDD.

Multi-Differential Fairness Auditor for Black Box Classifiers

Huzefa Rangwala, Xavier Gitiaux, H. Rangwala, 2019, IJCAI.

An intuitive muscle-computer interface using ultrasound sensing and Markovian state transitions

Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Building multiclass classifiers for remote homology detection and fold recognition

George Karypis, Huzefa Rangwala, G. Karypis, 2006, BMC Bioinformatics.

Foundations for context-aware information retrieval for proactive decision support

Huzefa Rangwala, Stephen Thomas, Ranjeev Mittu, 2016, SPIE Defense + Security.

Filter based Taxonomy Modification for Improving Hierarchical Classification pdf

Azad Naik, Huzefa Rangwala, H. Rangwala, 2016, ArXiv.

American Sign Language Recognition Using an FMCW Wireless Sensor (Student Abstract)

Parth H. Pathak, Jana Kosecka, Yuanqi Du, 2020, AAAI.

Defining a Coparticipation Network Using Comments on Digg

Huzefa Rangwala, Salman Jamali, 2010, IEEE Intelligent Systems.

16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing

Huzefa Rangwala, Daniel Barbará, Zeehasham Rasheed, 2013, BMC Systems Biology.

Feature Mining for Prediction of Degree of Liver Fibrosis

Jaideep Srivastava, Vipin Kumar, George Karypis, 2005, AMIA.

Forecasting Gang Homicides with Multi-level Multi-task Learning

Naren Ramakrishnan, Liang Zhao, Nasrin Akhter, 2018, SBP-BRiMS.

Metagenomic Taxonomic Classification Using Extreme Learning Machines

Huzefa Rangwala, Zeehasham Rasheed, H. Rangwala, 2012, J. Bioinform. Comput. Biol..

Classifying Protein Sequences Using Regularized Multi-Task Learning

Huzefa Rangwala, Anveshi Charuvaka, H. Rangwala, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Conclusions and Future Research Directions

Azad Naik, Huzefa Rangwala, 2018 .

When do Crowds Turn Violent? Uncovering Triggers from Media

Naren Ramakrishnan, Huzefa Rangwala, Yue Ning, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Relational Network Classification and Its Applications in Recommender Systems

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

MC-MinH: Metagenome Clustering using Minwise based Hashing

Huzefa Rangwala, Zeehasham Rasheed, H. Rangwala, 2013, SDM.

Predicting Network Response Times Using Social Information

Chen Liang, Angelos Stavrou, Huzefa Rangwala, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Digging Digg: Comment Mining, Popularity Prediction, and Social Network Analysis

Huzefa Rangwala, Salman Jamali, H. Rangwala, 2009, 2009 International Conference on Web Information Systems and Mining.

Analysis of Microbiome Data across Inflammatory Bowel Disease Patients

Huzefa Rangwala, Nuttachat Wisittipanit, Patrick Gillevet, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Recommending Temporally Relevant News Content from Implicit Feedback Data

Nikhil Muralidhar, Huzefa Rangwala, Eui-Hong Han, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

LSH-Div: Species diversity estimation using locality sensitive hashing

Huzefa Rangwala, Daniel Barbará, Zeehasham Rasheed, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Collaborating All the Way to the Top

Huzefa Rangwala, 2014 .

Predicting New Friendships in Social Networks

Anvardh Nanduri, Huzefa Rangwala, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Relevant Subsequence Detection with Sparse Dictionary Learning

Kathryn B. Laskey, Huzefa Rangwala, Sam Blasiak, 2013, ECML/PKDD.

Generative Multi-Stream Architecture For American Sign Language Recognition pdf

Jana Kosecka, Huzefa Rangwala, Parth Pathak, 2019, 2019 IEEE MIT Undergraduate Research Technology Conference (URTC).

Protein Function Prediction Using Dependence Maximization

Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, 2013, ECML/PKDD.

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

Huzefa Rangwala, Mohammad Arifur Rahman, Mohammad Arifur Rahman, 2020, Bioinform..

Annotating Proteins with Incomplete Label Information

Huzefa Rangwala, Carlotta Domeniconi, Guoxian Yu, 2015 .

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics

George Karypis, Mohammed J. Zaki, Huzefa Rangwala, 2011, KDD 2013.

fRMSDPred: Predicting local RMSD between structural fragments using sequence information

George Karypis, Huzefa Rangwala, 2008, Proteins.

Event Detection using Hierarchical Multi-Aspect Attention

Mohammad Raihanul Islam, Naren Ramakrishnan, Huzefa Rangwala, 2019, WWW.

A Family of Feed-Forward Models for Protein Sequence Classification

Kathryn B. Laskey, Huzefa Rangwala, Sam Blasiak, 2012, ECML/PKDD.

Convex multi-task relationship learning using hinge loss

Huzefa Rangwala, Anveshi Charuvaka, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory

Yifeng Gao, Jessica Lin, Huzefa Rangwala, 2017, ECML/PKDD.

An Information Theoretic Approach for the Analysis of RNA and DNA Binding Sites

Huzefa Rangwala, Sheng Li, 2011, BICoB.

Approximate block coordinate descent for large scale hierarchical classification

Huzefa Rangwala, Anveshi Charuvaka, H. Rangwala, 2015, SAC.

Technological barriers and incentives to learning analytics adoption in higher education: insights from users

Aditya Johri, Huzefa Rangwala, Jaime Lester, 2019, J. Comput. High. Educ..

Defining a Coparticipation Using Comments on Digg

Huzefa Rangwala, 2010 .

Hierarchical Structure Inconsistencies

Azad Naik, Huzefa Rangwala, H. Rangwala, 2018 .

TOPTMH: Topology Predictor for Transmembrane alpha-Helices

George Karypis, Huzefa Rangwala, Rezwan Ahmed, 2008, ECML/PKDD.

Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing

Huzefa Rangwala, Daniel Barbará, Zeehasham Rasheed, 2012, SDM.

Erratum to "Protein function prediction using multilabel ensemble classification"

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, TCBB.

Grade Prediction with Temporal Course-wise Influence pdf

Huzefa Rangwala, Xia Ning, Zhiyun Ren, 2017, EDM.

Federated Multi-task Hierarchical Attention Model for Sensor Analytics pdf

Huzefa Rangwala, Yue Ning, Zheng Chai, 2019, ArXiv.

Guiding Testing Effort Using Mutant Utility

René Just, Huzefa Rangwala, Paul Ammann, 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).

A Novel Self-Paced Model for Teaching Programming

A. Jefferson Offutt, Huzefa Rangwala, Sanjeev Setia, 2017, L@S.

Grade Prediction Based on Cumulative Knowledge and Co-taken Courses

Huzefa Rangwala, Andrew S. Lan, Xia Ning, 2019, EDM.

Real-Time Classification of Hand Motions Using Ultrasound Imaging of Forearm Muscles

Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar, 2016, IEEE Transactions on Biomedical Engineering.

Protein Function Prediction withIncomplete Annotations

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, IEEE ACM Trans. Comput. Biol. Bioinform..

Early Identification of At-Risk Students Using Iterative Logistic Regression

Li Zhang, Huzefa Rangwala, H. Rangwala, 2018, AIED.

HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning

Huzefa Rangwala, Anveshi Charuvaka, H. Rangwala, 2015, ECML/PKDD.

Introduction to Protein Structure Prediction: Methods and Algorithms

George Karypis, Huzefa Rangwala, 2010 .

Profile-based direct kernels for remote homology detection and fold recognition

George Karypis, Huzefa Rangwala, G. Karypis, 2005, Bioinform..

Predicting Protein Function Using Multiple Kernels

Zili Zhang, Huzefa Rangwala, Carlotta Domeniconi, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Enriching Course-Specific Regression Models with Content Features for Grade Prediction

George Karypis, Huzefa Rangwala, Qian Hu, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

ALE: Additive Latent Effect Models for Grade Prediction pdf

Huzefa Rangwala, Xia Ning, Zhiyun Ren, 2018, SDM.

Profiling Microbial Communities using SSU rRNA Sequence and LH-PCR Data

Huzefa Rangwala, Nuttachat Wisittipanit, Patrick Gillevet, 2011, BICoB.

Joint Segmentation and Clustering in Text Corpuses

Huzefa Rangwala, Sam Blasiak, Sithu Sudarsan, 2013, SDM.

Large Scale Hierarchical Classification: State of the Art

Azad Naik, Huzefa Rangwala, H. Rangwala, 2018, SpringerBriefs in Computer Science.

Attention-based Multi-task Learning for Sensor Analytics

Huzefa Rangwala, Yujing Chen, 2019, 2019 IEEE International Conference on Big Data (Big Data).

HierFlat: flattened hierarchies for improving top-down hierarchical classification

Azad Naik, Huzefa Rangwala, H. Rangwala, 2017, International Journal of Data Science and Analytics.

Tutorial: Are You My Neighbor?: Bringing Order to Neighbor Computing Problems.

Andrea Tagarelli, David C. Anastasiu, Huzefa Rangwala, 2019, KDD.

Genome Alignments Using MPI-LAGAN

George Karypis, Huzefa Rangwala, Ruinan Zhang, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

What Are We Teaching?: Automated Evaluation of CS Curricula Content Using Topic Modeling

Aditya Johri, Huzefa Rangwala, Jean Michel Rouly, 2015, ICER.

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data pdf

Huzefa Rangwala, Liang Zhao, Zheng Chai, 2020, ArXiv.

Spatio-temporal Event Forecasting and Precursor Identification

Chang-Tien Lu, Huzefa Rangwala, Liang Zhao, 2019, KDD.

A Hidden Markov Model Variant for Sequence Classification

Huzefa Rangwala, Sam Blasiak, H. Rangwala, 2011, IJCAI.

Low Rank Factorization for Compact Multi-Head Self-Attention pdf

Huzefa Rangwala, Naren Ramakrishnan, Sneha Mehta, 2019, ArXiv.

Predicting Preference Tags to Improve Item Recommendation

Huzefa Rangwala, Carlotta Domeniconi, Tanwistha Saha, 2015, SDM.

Machine Learning Approaches for Metagenomics

Huzefa Rangwala, Zeehasham Rasheed, Anveshi Charuvaka, 2014, ECML/PKDD.

mmASL: Environment-Independent ASL Gesture Recognition Using 60 GHz Millimeter-wave Signals

Parth H. Pathak, Huzefa Rangwala, Raja S. Kushalnagar, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Running out of STEM: a comparative study across STEM majors of college students at-risk of dropping out early

Aditya Johri, Huzefa Rangwala, Yujing Chen, 2018, LAK.

Malware Characterization Using Behavioral Components

Angelos Stavrou, Huzefa Rangwala, Chaitanya Yavvari, 2012, MMM-ACNS.

Improved SAR Models - Exploiting the Target-Ligand Relationships

George Karypis, Huzefa Rangwala, Xia Ning, 2008 .

Real-time, ultrasound-based control of a virtual hand by a trans-radial amputee

Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Protein Function Prediction with Incomplete Annotations

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Uniform Representation for Trajectory Learning Tasks

Jessica Lin, Liang Zhao, Huzefa Rangwala, 2017, SIGSPATIAL/GIS.

svmPRAT: SVM-based Protein Residue Annotation Toolkit

George Karypis, Huzefa Rangwala, Christopher Kauffman, 2009, BMC Bioinformatics.

Embedding feature selection for large-scale hierarchical classification

Azad Naik, Huzefa Rangwala, H. Rangwala, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL)

Huzefa Rangwala, Mohammad Arifur Rahman, Nathan LaPierre, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Classifying Documents within Multiple Hierarchical Datasets Using Multi-task Learning

Azad Naik, Huzefa Rangwala, Anveshi Charuvaka, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Learning Smooth and Fair Representations pdf

Huzefa Rangwala, Xavier Gitiaux, H. Rangwala, 2020, AISTATS.

Asynchronous Online Federated Learning for Edge Devices pdf

Huzefa Rangwala, Yue Ning, Yujing Chen, 2019, ArXiv.

Transductive multi-label ensemble classification for protein function prediction

Zhiwen Yu, Huzefa Rangwala, Carlotta Domeniconi, 2012, KDD.

Special Issue: Learning Analytics in Higher Education.

Aditya Johri, Huzefa Rangwala, Jaime Lester, 2017 .

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services pdf

Huzefa Rangwala, Hemant Purohit, Jitin Krishnan, 2020, ArXiv.

GPU-Euler: Sequence Assembly Using GPGPU

Huzefa Rangwala, Syed Faraz Mahmood, H. Rangwala, 2011, 2011 IEEE International Conference on High Performance Computing and Communications.

Grade Prediction with Neural Collaborative Filtering

Huzefa Rangwala, Andrew S. Lan, Xia Ning, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Predicting Student Performance Using Personalized Analytics

George Karypis, Huzefa Rangwala, Asmaa Elbadrawy, 2016, Computer.

Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics

Huzefa Rangwala, Zheng Chai, Yujing Chen, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Map-Reduce Framework for Clustering Metagenomes

Huzefa Rangwala, Zeehasham Rasheed, H. Rangwala, 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.

Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students

Huzefa Rangwala, Qian Hu, H. Rangwala, 2020, EDM.

Next-term student grade prediction

Huzefa Rangwala, Mack Sweeney, Jaime Lester, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Classification and clustering in metagenomics with unified data management and computational framework

Huzefa Rangwala, Zeehasham Rasheed, Patrick Gillevet, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Feature Enriched Nonparametric Bayesian Co-clustering

Kathryn B. Laskey, Huzefa Rangwala, Carlotta Domeniconi, 2012, PAKDD.

Predicting Performance on MOOC Assessments using Multi-Regression Models pdf

Aditya Johri, Huzefa Rangwala, Zhiyun Ren, 2016, EDM.

Learning Analytics in Higher Education : Current Innovations, Future Potential, and Practical Applications

Aditya Johri, Huzefa Rangwala, Jaime Lester, 2018 .

Using Learning Analytics to Trace Academic Trajectories of CS and IT Students to Better Understanding Successful Pathways to Graduation (Abstract Only)

Huzefa Rangwala, Omaima Almatrafi, Jaime Lester, 2016, SIGCSE.

A ranking-based approach for hierarchical classification

Azad Naik, Huzefa Rangwala, H. Rangwala, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Reliable Deep Grade Prediction with Uncertainty Estimation

Huzefa Rangwala, Qian Hu, H. Rangwala, 2019, LAK.

Identifying Course Trajectories of High Achieving Engineering Students through Data Analytics

Aditya Johri, Huzefa Rangwala, Omaima Almatrafi, 2016 .

Metagenome sequence clustering with hash-based canopies

Huzefa Rangwala, Daniel Barbará, Nathan Lapierre, 2017, J. Bioinform. Comput. Biol..

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms

Yifeng Gao, Xing Wang, Jessica Lin, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Using online text books and in-class quizzes to predict in class performance

Huzefa Rangwala, Mark Snyder, Noah Hunt-Isaak, 2020, EDM.

Next-Term Student Performance Prediction: A Recommender Systems Approach

Aditya Johri, Huzefa Rangwala, Mack Sweeney, 2016, EDM.

Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning

Naren Ramakrishnan, Huzefa Rangwala, Yue Ning, 2016, KDD.

Classification methods for the analysis of LH-PCR data associated with inflammatory bowel disease patients

Huzefa Rangwala, Nuttachat Wisittipanit, Patrick Gillevet, 2015, Int. J. Bioinform. Res. Appl..

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction pdf

Huzefa Rangwala, Lijing Wang, Yue Ning, 2019, ArXiv.

CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction

Huzefa Rangwala, Nathan Lapierre, Mohammad Arifur Rahman, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Asynchronous Federated Learning for Sensor Data with Concept Drift

Huzefa Rangwala, Zheng Chai, Yujing Chen, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Hand Pose Guided 3D Pooling for Word-level Sign Language Recognition

Parth H. Pathak, Jana Kosecka, Huzefa Rangwala, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers

Huzefa Rangwala, Ali Anwar, Zheng Chai, 2020, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

Using Role-Plays to Improve Ethical Understanding of Algorithms Among Computing Students

Aditya Johri, Ashish Hingle, Huzefa Rangwala, 2021, 2021 IEEE Frontiers in Education Conference (FIE).

Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling pdf

Huzefa Rangwala, Antonios Anastasopoulos, Hemant Purohit, 2021, MRL.

Cross-Lingual Text Classification of Transliterated Hindi and Malayalam pdf

Huzefa Rangwala, Hemant Purohit, Antonios Anastasopoulos, 2021, 2022 IEEE International Conference on Big Data (Big Data).

Fair Representations by Compression

Huzefa Rangwala, Xavier Gitiaux, 2021, AAAI.

Causal Knowledge Guided Societal Event Forecasting pdf

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2021, ArXiv.

Understanding Event Predictions via Contextualized Multilevel Feature Learning

Huzefa Rangwala, Yue Ning, Songgaojun Deng, 2021, CIKM.

Low Rank Factorization for Compact Multi-Head Self-Attention pdf

Naren Ramakrishnan, Huzefa Rangwala, Sneha Mehta, 2019, ArXiv.

Real-time, ultrasound-based control of a virtual hand by a trans-radial amputee.

Jana Kosecka, Huzefa Rangwala, Siddhartha Sikdar, 2016, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

Protein Structure Prediction using String Kernels

George Karypis, Huzefa Rangwala, Kevin W. Deronne, 2006 .

Introduction to Protein Structure Prediction

George Karypis, Huzefa Rangwala, G. Karypis, 2010 .

Asynchronous Online Federated Learning for Edge Devices with Non-IID Data

Huzefa Rangwala, Yue Ning, Martin Slawski, 2019, 2020 IEEE International Conference on Big Data (Big Data).

Evaluation of short read metagenomic assembly

Huzefa Rangwala, Anveshi Charuvaka, 2011, BMC Genomics.

SVM-based classification and feature selection methods for the analysis of Inflammatory Bowel disease microbiome data

Huzefa Rangwala, Nuttachat Wisittipanit, Patrick Gillevet, 2010 .

Improving homology models for protein-ligand binding sites.

George Karypis, Huzefa Rangwala, Chris Kauffman, 2008, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.