MEDWRAP: Consistent View Maintenance over Distributed Multi-relation Sources. - Aparna S. Varde; Elke A. Rundensteiner (DEXA, 2002)

QuenchMinerTM: Decision Support for Optimization of Heat Treating Processes. - Aparna S. Varde; Makiko Takahashi; Elke A. Rundensteiner; Matthew O. Ward; Mohammed Maniruzzaman; Richard D. Sisson Jr. (IICAI, 2003)

Semantic Extensions to Domain-Specific Markup Languages. - Aparna S. Varde; Elke A. Rundensteiner; Murali Mani; Mohammed Maniruzzaman; Richard D. Sisson Jr. (CCCT (2), 2004)

Apriori algorithm and game-of-life for predictive analysis in materials science. - Aparna S. Varde; Makiko Takahashi; Elke A. Rundensteiner; Matthew O. Ward; Mohammed Maniruzzaman; Richard D. Sisson Jr. (Int. J. Knowl. Based Intell. Eng. Syst., 2004)

Learning semantics-preserving distance metrics for clustering graphical data. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; Mohammed Maniruzzaman; Richard D. Sisson Jr. (MDM@KDD, 2005)

Integrating Clustering and Classification for Estimating Process Variables in Materials Science. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; David C. Brown; Mohammed Maniruzzaman; Richard D. Sisson Jr. (AAAI, 2006)

Designing semantics-preserving cluster representatives for scientific input conditions. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; David C. Brown; Mohammed Maniruzzaman; Richard D. Sisson Jr. (CIKM, 2006)

Mining Images of Material Nanostructure Data. - Aparna S. Varde; Jianyu Liang; Elke A. Rundensteiner; Richard D. Sisson Jr. (ICDCIT, 2006)

Learning the Relative Importance of Features in Image Data. - Aparna S. Varde; Elke A. Rundensteiner; Giti Javidi; Ehsan Sheybani; Jianyu Liang (ICDE Workshops, 2007)

AutoDomainMine: a graphical data mining system for process optimization. - Aparna S. Varde; Elke A. Rundensteiner; Richard D. Sisson Jr. (SIGMOD Conference, 2007)

LearnMet: learning domain-specific distance metrics for plots of scientific functions. - Aparna S. Varde; Elke A. Rundensteiner; Carolina Ruiz; Mohammed Maniruzzaman; Richard D. Sisson Jr. (Multim. Tools Appl., 2007)

Component Selection to Optimize Distance Function Learning in Complex Scientific Data Sets. - Aparna S. Varde; Stephen Bique; Elke A. Rundensteiner; David C. Brown; Jianyu Liang; Richard D. Sisson Jr.; Ehsan Sheybani; Brian Sayre (DEXA, 2008)

Comparing mathematical and heuristic approaches for scientific data analysis. - Aparna S. Varde; Shuhui Ma; Mohammed Maniruzzaman; David C. Brown; Elke A. Rundensteiner; Richard D. Sisson Jr. (Artif. Intell. Eng. Des. Anal. Manuf., 2008)

Advances in information and knowledge management. - Aparna S. Varde; Jian Pei 001 (SIGIR Forum, 2008)

Knowledge Discovery over the Deep Web, Semantic Web and XML. - Aparna S. Varde; Fabian M. Suchanek; Richi Nayak; Pierre Senellart (DASFAA, 2009)

Challenging research issues in data mining, databases and information retrieval. - Aparna S. Varde (SIGKDD Explor., 2009)

Intelligent Time-Aware Query Translation for Text Sources. - Amal Chaminda Kaluarachchi; Aparna S. Varde; Jing Peng 001; Anna Feldman (AAAI, 2010)

Incorporating terminology evolution for query translation in text retrieval with association rules. - Amal Chaminda Kaluarachchi; Aparna S. Varde; Srikanta J. Bedathur; Gerhard Weikum; Jing Peng 001; Anna Feldman (CIKM, 2010)

PIKM 2010: ACM workshop for ph.d. students in information and knowledge management. - Anisoara Nica; Aparna S. Varde (CIKM, 2010)

A decision support system for green data centers. - Michael J. Pawlish; Aparna S. Varde (PIKM, 2010)

Automatic Classification of Article Errors in L2 Written English. - Aliva M. Pradhan; Aparna S. Varde; Jing Peng 001; Eileen Fitzpatrick (FLAIRS, 2010)

Emerging multidisciplinary research across database management systems. - Anisoara Nica; Fabian M. Suchanek; Aparna S. Varde (SIGMOD Rec., 2010)

SITAC: discovering semantically identical temporally altering concepts in text archives. - Amal Chaminda Kaluarachchi; Debjani Roychoudhury; Aparna S. Varde; Gerhard Weikum (EDBT, 2011)

The hidden web, XML and the Semantic Web: scientific data management perspectives. - Fabian M. Suchanek; Aparna S. Varde; Richi Nayak; Pierre Senellart (EDBT, 2011)

The Deployment of MML for Data Analytics over the Cloud. - Jonathan Tancer; Aparna S. Varde (ICDM Workshops, 2011)

Chernoff Dimensionality Reduction-Where Fisher Meets FKT. - Jing Peng 001; Guna Seetharaman; Stefan A. Robila; Aparna S. Varde; Wei Fan 001 (SDM, 2011)

The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective - Fabian M. Suchanek; Aparna S. Varde; Richi Nayak; Pierre Senellart (CoRR, 2011)

Cloud computing for environment-friendly data centers. - Michael J. Pawlish; Aparna S. Varde; Stefan A. Robila (CloudDB@CIKM, 2012)

PIKM 2012: 5th ACM workshop for PhD students in information and knowledge management. - Aparna S. Varde; Fabian M. Suchanek (CIKM, 2012)

Analyzing utilization rates in data centers for optimizing energy management. - Michael J. Pawlish; Aparna S. Varde; Stefan A. Robila (IGCC, 2012)

Discovering interesting information with advances in web technology. - Richi Nayak; Pierre Senellart; Fabian M. Suchanek; Aparna S. Varde (SIGKDD Explor., 2012)

Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support. - Klavdiya Hammond; Aparna S. Varde (ICDM Workshops, 2013)

Decision Support in Data Centers for Sustainability. - Michael J. Pawlish; Aparna S. Varde; Stefan A. Robila (ICDM Workshops, 2013)

QuenchML: A semantics-preserving markup language for knowledge representation in quenching. - Aparna S. Varde; Mohammed Maniruzzaman; Richard D. Sisson Jr. (Artif. Intell. Eng. Des. Anal. Manuf., 2013)

Predictive analysis of engine health for decision support. - Shubhabrata Mukherjee; Aparna S. Varde; Giti Javidi; Ehsan Sheybani (SIGKDD Explor., 2013)

Databases, information retrieval and knowledge management: exploring paths and crossing bridges. - Mouna Kacimi; Fabian M. Suchanek; Aparna S. Varde (SIGMOD Rec., 2013)

Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction. - Jing Peng 001; Guna Seetharaman; Wei Fan 001; Aparna S. Varde (ACM Trans. Knowl. Discov. Data, 2013)

PIKM 2014: The 7th ACM Workshop for Ph.D. Students in Information and Knowledge Management. - Gerard de Melo; Mouna Kacimi; Aparna S. Varde (CIKM, 2014)

New Research Directions in Knowledge Discovery and Allied Spheres. - Anisoara Nica; Fabian M. Suchanek; Aparna S. Varde (SIGKDD Explor., 2014)

A call for energy efficiency in data centers. - Michael J. Pawlish; Aparna S. Varde; Stefan A. Robila; Anand Ranganathan (SIGMOD Rec., 2014)

A Panorama of Imminent Doctoral Research in Data Mining. - Aparna S. Varde; Nikolaj Tatti (SIGMOD Rec., 2014)

Scalable Learning Technologies for Big Data Mining. - Gerard de Melo; Aparna S. Varde (DASFAA (2), 2015)

The Greening of Data Centers with Cloud Technology. - Michael J. Pawlish; Aparna S. Varde; Stefan A. Robila (Int. J. Cloud Appl. Comput., 2015)

A Framework for Collocation Error Correction in Web Pages and Text Documents. - Alan Varghese; Aparna S. Varde; Jing Peng 001; Eileen Fitzpatrick (SIGKDD Explor., 2015)

Dissertation Research Problems in Data Management and Related Areas. - Gerard de Melo; Mouna Kacimi; Aparna S. Varde (SIGMOD Rec., 2015)

Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning. - Xu Du; Onyeka Emebo; Aparna S. Varde; Niket Tandon; Sreyasi Nag Chowdhury; Gerhard Weikum (ICDE Workshops, 2016)

Ontology based meta knowledge extraction with Semantic Web tools for ubiquitous computing. - Aliva M. Pradhan; Aparna S. Varde (UEMCON, 2016)

Supervised Learning Techniques in Mobile Device Apps for Androids. - Priyanka Basavaraju; Aparna S. Varde (SIGKDD Explor., 2016)

Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities. - Priya Persaud; Aparna S. Varde; Stefan A. Robila (ICTAI, 2017)

Urban legislation assessment by data analytics with smart city characteristics. - Xu Du; Diane Liporace; Aparna S. Varde (UEMCON, 2017)

Commonsense Knowledge in Machine Intelligence. - Niket Tandon; Aparna S. Varde; Gerard de Melo (SIGMOD Rec., 2017)

Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions. - Manish Puri; Aparna S. Varde; Boxiang Dong (IEEE BigData, 2018)

Object Detection with Neural Models, Deep Learning and Common Sense to Aid Smart Mobility. - Abidha Pandey; Manish Puri; Aparna S. Varde (ICTAI, 2018)

Smart Governance Through Opinion Mining of Public Reactions on Ordinances. - Manish Puri; Aparna S. Varde; Xu Du; Gerard de Melo (ICTAI, 2018)

Sentiment Analysis of Twitter Data with Hybrid Learning for Recommender Applications. - Ketaki Gandhe; Aparna S. Varde; Xu Du (UEMCON, 2018)

Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion Mining. - Manish Puri; Xu Du; Aparna S. Varde; Gerard de Melo (WWW (Companion Volume), 2018)

The DevOps Paradigm with Cloud Data Analytics for Green Business Applications. - Michael J. Pawlish; Aparna S. Varde (SIGKDD Explor., 2018)

WordPrep: Word-based Preposition Prediction Tool. - Pooja Bhagat; Aparna S. Varde; Anna Feldman (IEEE BigData, 2019)

Identifying Implicit Requirements in SRS Big Data. - Onyeka Emebo; Vaibhav K. Anu; Aparna S. Varde (IEEE BigData, 2019)

A Hive and SQL Case Study in Cloud Data Analytics. - Shireesha Chandra; Aparna S. Varde; Jiayin Wang (UEMCON, 2019)

Ubiquitous Access for Local Water Management Through HCI Based App Development. - Drashti Pathak; Aparna S. Varde; Clement Alo; Felix Oteng (UEMCON, 2019)

Public opinion matters: mining social media text for environmental management. - Xu Du; Matthew Kowalski; Aparna S. Varde; Gerard de Melo; Robert W. Taylor (SIGWEB Newsl., 2019)

I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). - Anurag Garg; Niket Tandon; Aparna S. Varde (AAAI, 2020)

Task quality optimization in collaborative robotics. - Christopher J. Conti; Aparna S. Varde; Weitian Wang (IEEE BigData, 2020)

LSOMP: Large Scale Ordinance Mining Portal. - Xu Du; Matthew Kowalski; Aparna S. Varde; Boxiang Dong (IEEE BigData, 2020)

Transfer learning for decision support in Covid-19 detection from a few images in big data. - Divydharshini Karthikeyan; Aparna S. Varde; Weitian Wang (IEEE BigData, 2020)

Item-Based Collaborative Filtering and Association Rules for a Baseline Recommender in E-Commerce. - Jessica Lourenco; Aparna S. Varde (IEEE BigData, 2020)

An Ordinance-Tweet Mining App to Disseminate Urban Policy Knowledge for Smart Governance. - Christina Varghese; Aparna S. Varde; Xu Du (I3E (2), 2020)

Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization. - Onyeka Emebo; Aparna S. Varde; Vaibhav K. Anu; Niket Tandon; Olawande J. Daramola (ICTAI, 2020)

Hydroinformatics and the web: analytics and dissemination of hydrology data for climate change and sustainability. - Drashti Pathak; Aparna S. Varde; Gerard de Melo; Clement Alo (SIGWEB Newsl., 2020)

Automating the Classification of Requirements Data. - Dev Dave; Vaibhav K. Anu; Aparna S. Varde (IEEE BigData, 2021)

Multispectral Drone Data Analysis on Coastal Dunes. - Britnie Gonzalez-Moodie; Shane Daiek; Jorge Lorenzo-Trueba; Aparna S. Varde (IEEE BigData, 2021)

Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding. - Sayem Mohammad Imtiaz; Kazi Zakia Sultana; Aparna S. Varde (IEEE BigData, 2021)

SeVa: A Food Donation App for Smart Living. - Christina Varghese; Drashti Pathak; Aparna S. Varde (CCWC, 2021)

Search Methods in Motion Planning for Mobile Robots. - Laura Paulino; Correy Hannum; Aparna S. Varde; Christopher J. Conti (IntelliSys (3), 2021)

Information to Wisdom: Commonsense Knowledge Extraction and Compilation. - Simon Razniewski; Niket Tandon; Aparna S. Varde (WSDM, 2021)

Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss. - Boxiang Dong; Wendy Hui Wang; Aparna S. Varde; Dawei Li 002; Bharath K. Samanthula; Weifeng Sun; Liang Zhao (CoRR, 2021)

Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition. - Boxiang Dong; Aparna S. Varde; Danilo Stevanovic; Jiayin Wang; Liang Zhao (CoRR, 2021)

Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements. - Onyeka Emebo; Aparna S. Varde; Olawande J. Daramola (CoRR, 2021)

Mining GIS Data to Predict Urban Sprawl. - Anita Pampoore-Thampi; Aparna S. Varde; Danlin Yu (CoRR, 2021)

Can Robots Get Some Human Rights? A Cross-Disciplinary Discussion. - Priya Persaud; Aparna S. Varde; Weitian Wang (J. Robotics, 2021)

COVID and social media: analysis of COVID-19 and social media trends for smart living and healthcare. - Manish Puri; Zachary Dau; Aparna S. Varde (SIGWEB Newsl., 2021)

CSK-Detector: Commonsense in object detection. - Irina Chernyavsky; Aparna S. Varde; Simon Razniewski (IEEE Big Data, 2022)

Inferring Phylogenetic Relationships using the Smith-Waterman Algorithm and Hierarchical Clustering. - Rafael Hidalgo; Anthony DeVito; Nesreen Salah; Aparna S. Varde; Robert W. Meredith (IEEE Big Data, 2022)

Evolving Perceptions of Mental Health on Social Media and their Medical Impacts. - Kenna Reagan; Aparna S. Varde; Lei Xie 006 (IEEE Big Data, 2022)

Ishikawa, JESS, and Visual Analytics for Engineering. - Aparna S. Varde; Jianyu Liang; Zhaotong Yang; Richard D. Sisson Jr. (IEEE Big Data, 2022)

A Framework for German-English Machine Translation with GRU RNN. - Levi Corallo; Guanghui Li; Kenna Reagan; Abhishek Saxena; Aparna S. Varde; Brandon Wilde (EDBT/ICDT Workshops, 2022)

CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors. - Anurag Garg; Niket Tandon; Aparna S. Varde (EDBT/ICDT Workshops, 2022)

Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory. - Darko Radakovic; Anuradha Singh; Aparna S. Varde; Pankaj Lal (ICTAI, 2022)

HiSAT: Hierarchical Framework for Sentiment Analysis on Twitter Data. - Amrutha Kommu; Snehal Patel; Sebastian Derosa; Jiayin Wang; Aparna S. Varde (IntelliSys (1), 2022)

Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques. - Dev Dave; Angelica Celestino; Aparna S. Varde; Vaibhav K. Anu (SIGMOD Rec., 2022)

Prediction Tool on Fine Particle Pollutants and Air Quality for Environmental Engineering. - Aparna S. Varde; Abidha Pandey; Xu Du (SN Comput. Sci., 2022)

Human-Robot Collaboration With Commonsense Reasoning in Smart Manufacturing Contexts. - Christopher J. Conti; Aparna S. Varde; Weitian Wang (IEEE Trans Autom. Sci. Eng., 2022)

Computational Estimation by Scientific Data Mining with Classical Methods to Automate Learning Strategies of Scientists. - Aparna S. Varde (ACM Trans. Knowl. Discov. Data, 2022)

Comprehensive cough data analysis on CODA TB. - Jyoti Yadav; Aparna S. Varde; Lei Xie 006 (IEEE Big Data, 2023)

Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment. - Sarahana Shrestha; Brian Buckley; Aparna S. Varde; Daniel Cwynar (ICTAI, 2023)

Personalizing Text-to-Image Diffusion Models by Fine-Tuning Classification for AI Applications. - Rafael Hidalgo; Nesreen Salah; Rajiv Chandra Jetty; Anupama Jetty; Aparna S. Varde (IntelliSys (1), 2023)

Predictive Analysis of Bank Marketing for Financial Decision Support and Smart Economy. - Hiral Vashi; Jyoti Yadav; Aparna S. Varde (IntelliSys (3), 2023)

Enhancing Cloud Security Posture for Ubiquitous Data Access with a Cybersecurity Framework Based Management Tool. - Gregory Coppola; Aparna S. Varde; Jiacheng Shang (UEMCON, 2023)

Extracting Cultural Commonsense Knowledge at Scale. - Tuan-Phong Nguyen; Simon Razniewski; Aparna S. Varde; Gerhard Weikum (WWW, 2023)

Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics. - Aparna S. Varde; Gerard de Melo; Boxiang Dong (WWW (Companion Volume), 2023)

Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index. - Anuradha Singh; Jyoti Yadav; Sarahana Shrestha; Aparna S. Varde (CoRR, 2023)

Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability. - Aparna S. Varde; Jianyu Liang (CoRR, 2023)

Hey Dona! Can you help me with student course registration? - Vishesh Kalvakurthi; Aparna S. Varde; John Jenq (CoRR, 2023)

Optical Character Recognition and Transcription of Berber Signs from Images in a Low-Resource Language Amazigh. - Levi Corallo; Aparna S. Varde (CoRR, 2023)

Commonsense based text mining on urban policy. - Manish Puri; Aparna S. Varde; Gerard de Melo (Lang. Resour. Evaluation, 2023)

Web Perspectives in Robotics Applications: Commonsense Knowledge, Autonomous Vehicles and Human-Robot Collaboration. - Christopher J. Conti; Aparna S. Varde; Weitian Wang (SIGWEB Newsl., 2023)

Roles of the Web in Commercial Energy Efficiency: IoT, Cloud Computing, and Opinion Mining. - Sarahana Shrestha; Aparna S. Varde (SIGWEB Newsl., 2023)

Mining Satellite Imagery for Offshore Wind Energy. - Cristian Noriega Monsalve; Aparna S. Varde (IEEE Big Data, 2024)

DISCERN for Generalizable Robotic Contexts. - Swagnik Roychoudhury; Aparna S. Varde (IEEE Big Data, 2024)

AI-Based Modeling for Textual Data on Solar Policies in Smart Energy Applications. - Sarahana Shrestha; Isabele Bittencourt; Aparna S. Varde; Pankal Lal (IISA, 2024)

Audiovisual Multimodal Cough Data Analysis for Tuberculosis Detection. - Jyoti Yadav; Aparna S. Varde; Hao Liu 054; George Antoniou; Lei Xie 006 (IISA, 2024)

Opinion Mining on Offshore Wind Energy for Environmental Engineering. - Isabele Bittencourt; Aparna S. Varde; Pankaj Lal (CoRR, 2024)

Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots. - Rafael Hidalgo; Jesse Parron; Aparna S. Varde; Weitian Wang (CoRR, 2024)

Power Plant Detection for Energy Estimation using GIS with Remote Sensing, CNN & Vision Transformers. - Blessing Austin-Gabriel; Cristian Noriega Monsalve; Aparna S. Varde (CoRR, 2024)

HaaS in Environmental Computing: Hadoop-as-a-Service for Big Data Mining in Environmental Computing Applications. - Aparna S. Varde (SIGWEB Newsl., 2024)

Facilitating COVID recognition from X-rays with computer vision models and transfer learning. - Aparna S. Varde; Divydharshini Karthikeyan; Weitian Wang (Multim. Tools Appl., 2024)

Incorporating Commonsense Knowledge to Enhance Robot Perception. - Rafael Hidalgo; Aparna S. Varde; Jesse Parron; Weitian Wang (IEEE Trans Autom. Sci. Eng., 2025)

Geoinformatics-Guided Machine Learning for Power Plant Classification. - Blessing Austin-Gabriel; Aparna S. Varde; Hao Liu 054 (CoRR, 2025)