Senjuti Basu Roy
Senjuti Basu Roy
Associate Professor, Computer Science
4302 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; The University of Texas at Arlington; Computer Science; 2011
M.S.; The University of Texas at Arlington; Computer Science; 2007
B.Tech.; University of Calcutta; Computer Science and Engineering; 2004
M.S.; The University of Texas at Arlington; Computer Science; 2007
B.Tech.; University of Calcutta; Computer Science and Engineering; 2004
Website
2024 Fall Courses
DS 792B - PRE-DOCTORAL RESEARCH
CS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
DS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
DS 726 - INDEPENDENT STUDY II
CS 488 - INDEPENDENT STUDY IN CS
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
CS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
DS 790A - DOCT DISSERTATION & RES
DS 725 - INDEPENDENT STUDY I
DS 726 - INDEPENDENT STUDY II
CS 488 - INDEPENDENT STUDY IN CS
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
Past Courses
CS 301: INTRODUCTION TO DATA SCIENCE
CS 610: DATA STRUCTURE & ALG
CS 634: DATA MINING
CS 786: SEL TOP IN COM INF SCI II
CS 610: DATA STRUCTURE & ALG
CS 634: DATA MINING
CS 786: SEL TOP IN COM INF SCI II
Conference Paper
Promoting Fairness and Priority in Selecting k-Winners Using IRV
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August 2024
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August 2024
Conference Proceeding
Accepted Tutorials at The Web Conference 2022
2022
Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications
2022
Rank aggregation with proportionate fairness
2022
Satisfying Complex Top-k Fairness Constraints by Preference Substitutions
VLDB, 2022
Guided Task Planning Under Complex Constraints
May 2022
2022
Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications
2022
Rank aggregation with proportionate fairness
2022
Satisfying Complex Top-k Fairness Constraints by Preference Substitutions
VLDB, 2022
Guided Task Planning Under Complex Constraints
May 2022
SHOW MORE
A generalized approach for reducing expensive distance calls for a broad class of proximity problems
2021
Data Management to Social Science and Back in the Future of Work
2021
Multi-Session Diversity to Improve User Satisfaction in Web Applications
2021
Peer Learning Through Targeted Dynamic Groups Formation
2021
Preface to the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores
2021
Recommending deployment strategies for collaborative tasks
2020
Task Deployment Recommendation with Worker Availability
2020
A human-in-the-loop attribute design framework for classification
2019
An Efficient Greedy Algorithm for Sequence Recommendation
2019
Human-in-the-loop Exploration of Composite Items
2019
Optimizing peer learning in online groups with affinities
2019
The ever evolving online labor market
2019
Crowdsourcing Analytics With CrowdCur
2018
Explicit Preference Elicitation for Task Completion Time
2018
Interactive exploration of composite items
2018
Task relevance and diversity as worker motivation in crowdsourcing
2018
Motivation-Aware Task Assignment in Crowdsourcing
International Conference on Extending Database Technology,, 2017
Feature Based Task Recommendation in Crowdsourcing with Implicit Observations
AAAI International Conference on Human Computing, 2017
A Probabilistic Framework for Estimating Pairwise Distances Through Crowdsourcing
International Conference on Extending Database Technology,, February 2017
Predicting 30-day risk and cost of" All-Cause" hospital readmissions
2016
Dynamic hierarchical classification for patient risk-of-readmission
2015
From Complex Object Exploration to Complex Crowdsourcing.
2015
From group recommendations to group formation
2015
Group recommendation with temporal affinities
2015
Task assignment optimization in collaborative crowdsourcing
2015
A framework to recommend interventions for 30-day heart failure readmission risk
2014
ALIAS: Author Disambiguation in Microsoft Academic Search Engine Dataset.
2014
Crowd4u: An initiative for constructing an open academic crowdsourcing network
2014
Divide-n-Discover: Discretization based data exploration framework for healthcare analytics
2014
Exploiting group recommendation functions for flexible preferences
2014
IQR: an interactive query relaxation system for the empty-answer problem
2014
Pathway-finder: An interactive recommender system for supporting personalized care pathways
2014
Prediction and Management of Readmission Risk for Congestive Heart Failure.
2014
Big data solutions for predicting risk-of-readmission for congestive heart failure patients
2013
Crowds, not drones: modeling human factors in interactive crowdsourcing
2013
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
2013
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
2013
Risk-o-meter: an intelligent clinical risk calculator
2013
The microsoft academic search challenges at kdd cup 2013
2013
The microsoft academic search dataset and kdd cup 2013
2013
Interactive itinerary planning
2011
Constructing and exploring composite items
2010
Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia
2010
Facetedpedia: enabling query-dependent faceted search for wikipedia
2010
Dynacet: Building dynamic faceted search systems over databases
2009
Top-k implementation techniques of minimum effort driven faceted search for databases
2009
Minimum-effort driven dynamic faceted search in structured databases
2008
Computing best coverage path in the presence of obstacles in a sensor field
2007
Edge Preserving Image Compression Technique using Adaptive Feed Forward Neural Network.
2005
Cooperative interaction of Cha-ras and cerb B genes in chemically induced hamster buccal pouch carcinogenesis
1989
2021
Data Management to Social Science and Back in the Future of Work
2021
Multi-Session Diversity to Improve User Satisfaction in Web Applications
2021
Peer Learning Through Targeted Dynamic Groups Formation
2021
Preface to the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores
2021
Recommending deployment strategies for collaborative tasks
2020
Task Deployment Recommendation with Worker Availability
2020
A human-in-the-loop attribute design framework for classification
2019
An Efficient Greedy Algorithm for Sequence Recommendation
2019
Human-in-the-loop Exploration of Composite Items
2019
Optimizing peer learning in online groups with affinities
2019
The ever evolving online labor market
2019
Crowdsourcing Analytics With CrowdCur
2018
Explicit Preference Elicitation for Task Completion Time
2018
Interactive exploration of composite items
2018
Task relevance and diversity as worker motivation in crowdsourcing
2018
Motivation-Aware Task Assignment in Crowdsourcing
International Conference on Extending Database Technology,, 2017
Feature Based Task Recommendation in Crowdsourcing with Implicit Observations
AAAI International Conference on Human Computing, 2017
A Probabilistic Framework for Estimating Pairwise Distances Through Crowdsourcing
International Conference on Extending Database Technology,, February 2017
Predicting 30-day risk and cost of" All-Cause" hospital readmissions
2016
Dynamic hierarchical classification for patient risk-of-readmission
2015
From Complex Object Exploration to Complex Crowdsourcing.
2015
From group recommendations to group formation
2015
Group recommendation with temporal affinities
2015
Task assignment optimization in collaborative crowdsourcing
2015
A framework to recommend interventions for 30-day heart failure readmission risk
2014
ALIAS: Author Disambiguation in Microsoft Academic Search Engine Dataset.
2014
Crowd4u: An initiative for constructing an open academic crowdsourcing network
2014
Divide-n-Discover: Discretization based data exploration framework for healthcare analytics
2014
Exploiting group recommendation functions for flexible preferences
2014
IQR: an interactive query relaxation system for the empty-answer problem
2014
Pathway-finder: An interactive recommender system for supporting personalized care pathways
2014
Prediction and Management of Readmission Risk for Congestive Heart Failure.
2014
Big data solutions for predicting risk-of-readmission for congestive heart failure patients
2013
Crowds, not drones: modeling human factors in interactive crowdsourcing
2013
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
2013
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
2013
Risk-o-meter: an intelligent clinical risk calculator
2013
The microsoft academic search challenges at kdd cup 2013
2013
The microsoft academic search dataset and kdd cup 2013
2013
Interactive itinerary planning
2011
Constructing and exploring composite items
2010
Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia
2010
Facetedpedia: enabling query-dependent faceted search for wikipedia
2010
Dynacet: Building dynamic faceted search systems over databases
2009
Top-k implementation techniques of minimum effort driven faceted search for databases
2009
Minimum-effort driven dynamic faceted search in structured databases
2008
Computing best coverage path in the presence of obstacles in a sensor field
2007
Edge Preserving Image Compression Technique using Adaptive Feed Forward Neural Network.
2005
Cooperative interaction of Cha-ras and cerb B genes in chemically induced hamster buccal pouch carcinogenesis
1989
COLLAPSE
Journal Article
Nikookar, Sepideh, & Esfandiari, Mohammadreza, & Borromeo, Ria Mae, & Sakharkar, Paras, & Amer-Yahia, Sihem, & Basu Roy, Senjuti (2022). Diversifying recommendations on sequences of sets. The VLDB Journal, 1--22.
Salam, Md Abdus, & Basu Roy, Senjuti, & Das, Gautam (2022). Efficient approximate top-k mutual information based feature selection. Journal of Intelligent Information Systems, 1--33.
Lin, Xiang, & Liu, Haoran, & Wei, Zhi, & Roy, Senjuti Basu, & Gao, Nan (2021). An active learning approach for clustering single-cell RNA-seq data. Laboratory Investigation, 1--9.
Amer-Yahia, Sihem, & Roy, Senjuti Basu, & Chen, Lei, & Morishima, Atsuyuki, & Monedero, James Abello, & Bourhis, Pierre, & Fran\ccois Charoy, , & Danilevsky, Marina, & Das, Gautam, & Demartini, Gianluca, & Elbassuoni, Shady, & Gross-Amblard, David, & Hoareau, Emilie, & Inoguchi, Munenari, & Kenworthy, Jared B., & Kitahara, Itaru, & Lee, Dongwon, & Li, Yunyao, & Borromeo, Ria Mae, & Papotti, Paolo, & Rao, H. Raghav, & Roy, Sudeepa, & Senellart, Pierre, & Tajima, Keishi, & Thirumuruganathan, Saravanan, & Tommasi, Marion, & Umemoto, Kazutoshi, & Wiggins, Andrea, & Yoshida, Koichiro (2020). Making AI Machines Work for Humans in FoW. SIGMOD Rec., 49(2), 30--35.
Amer-Yahia, Sihem, & Basu Roy, Senjuti, & Chen, Lei, & Morishima, Atsuyuki, & Abello Monedero, James, & Bourhis, Pierre, & Charoy, Fran\ccois, , & Danilevsky, Marina, & Das, Gautam, & Demartini, Gianluca, & others, (2020). Making ai machines work for humans in fow. ACM SIGMOD Record, 49(2), 30--35.
Salam, Md Abdus, & Basu Roy, Senjuti, & Das, Gautam (2022). Efficient approximate top-k mutual information based feature selection. Journal of Intelligent Information Systems, 1--33.
Lin, Xiang, & Liu, Haoran, & Wei, Zhi, & Roy, Senjuti Basu, & Gao, Nan (2021). An active learning approach for clustering single-cell RNA-seq data. Laboratory Investigation, 1--9.
Amer-Yahia, Sihem, & Roy, Senjuti Basu, & Chen, Lei, & Morishima, Atsuyuki, & Monedero, James Abello, & Bourhis, Pierre, & Fran\ccois Charoy, , & Danilevsky, Marina, & Das, Gautam, & Demartini, Gianluca, & Elbassuoni, Shady, & Gross-Amblard, David, & Hoareau, Emilie, & Inoguchi, Munenari, & Kenworthy, Jared B., & Kitahara, Itaru, & Lee, Dongwon, & Li, Yunyao, & Borromeo, Ria Mae, & Papotti, Paolo, & Rao, H. Raghav, & Roy, Sudeepa, & Senellart, Pierre, & Tajima, Keishi, & Thirumuruganathan, Saravanan, & Tommasi, Marion, & Umemoto, Kazutoshi, & Wiggins, Andrea, & Yoshida, Koichiro (2020). Making AI Machines Work for Humans in FoW. SIGMOD Rec., 49(2), 30--35.
Amer-Yahia, Sihem, & Basu Roy, Senjuti, & Chen, Lei, & Morishima, Atsuyuki, & Abello Monedero, James, & Bourhis, Pierre, & Charoy, Fran\ccois, , & Danilevsky, Marina, & Das, Gautam, & Demartini, Gianluca, & others, (2020). Making ai machines work for humans in fow. ACM SIGMOD Record, 49(2), 30--35.
SHOW MORE
Basu Roy, Senjuti (2019). Capturing Human Factors to Optimize Crowdsourced Label Acquisition through Active Learning. IEEE Data Engineering Bulletin,
Esfandiari, Mohammadreza, & Roy, Senjuti Basu, & Amer-Yahia, Sihem (2018). Eliciting Worker Preference for Task Completion. arXiv preprint arXiv:1801.03233,
Roy, Senjuti Basu, & Maria, Moushumi, & Wang, Tina, & Ehlers, Anne, & Flum, David (2018). Predicting adverse events after surgery. Big data research, 13, 29--37.
Ehlers, Anne P, & Basu Roy, Senjuti, & Khor, Sara, & Mandagani, Prathyusha, & Maria, Moushumi, & Alfonso-Cristancho, Rafael, & Flum, David R (2017). Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. eGEMs (Generating Evidence & Methods to improve patient outcomes), 5(2), 3.
Mottin, Davide, & Marascu, Alice, & Basu Roy, Senjuti, & Das, Gautam, & Palpanas, Themis, & Velegrakis, Yannis (2016). A holistic and principled approach for the empty-answer problem. The VLDB Journal, 25(4), 597–622.
Ikeda, Kosetsu, & Morishima, Atsuyuki, & Rahman, Habibur, & Roy, Senjuti Basu, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2016). Collaborative crowdsourcing with crowd4U. Proceedings of the VLDB Endowment, 9(13), 1497–1500.
Rahman, Habibur, & Joppa, Lucas, & Roy, Senjuti Basu (2016). Feature based task recommendation in crowdsourcing with implicit observations. arXiv preprint arXiv:1602.03291,
Ehlers, Anne P, & Basu Roy, Senjuti, & Khor, Sara, & Mandagani, Prathyusha, & Maria, Moushumi, & Alfonso-Cristancho, Rafael, & Flum, David R (2016). Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. Concordium,
Ehlers, Anne, & Roy, Senjuti Basu, & Mandagani, Prathyusha, & Maria, Moushumi, & Khor, Sara, & Alfonso, Rafael, & Flum, David (2016). Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. Concordium 2016,
Amer-Yahia, Sihem, & Roy, Senjuti Basu (2016). Human factors in crowdsourcing. Proceedings of the VLDB Endowment, 9(13), 1615–1618.
Chin, Si-Chi, & Liu, Rui, & Roy, Senjuti B (2016). PREDICTIVE ANALYTICS IN 30-DAY HOSPITAL READMISSIONS FOR HEART FAILURE PATIENTS. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, 439,
Roy, Senjuti Basu, & Stefanidis, Kostas, & Koutrika, Georgia, & Lakshmanan, Laks VS, & Riedewald, Mirek (2016). Report on the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016). ACM SIGMOD Record, 45(3), 35–38.
Amer-Yahia, Sihem, & Roy, Senjuti Basu (2016). Toward Worker-Centric Crowdsourcing.. IEEE Data Eng. Bull., 39(4), 3–13.
Basu Roy, Senjuti, & K, Ikea, & A, Morishima, & Saravanan, T, & Amer-Yahia, S, & Gautam, Das, & Habibur, Rahman (2016). Collaborative Crowdsourcing with Crowd4u. Proceedings of the VLDB Endowment,
Rahman, Habibur, & Roy, Senjuti Basu, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2015). " The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. arXiv preprint arXiv:1502.05106,
Roy, Senjuti Basu, & Lykourentzou, Ioanna, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2015). Task assignment optimization in knowledge-intensive crowdsourcing. The VLDB Journal, 24(4), 467--491.
Rahman, Habibur, & Thirumuruganathan, Saravanan, & Roy, Senjuti Basu, & Amer-Yahia, Sihem, & Das, Gautam (2015). Worker skill estimation in team-based tasks. Proceedings of the VLDB Endowment, 8(11), 1142--1153.
Roy, Senjuti Basu, & Eliassi-Rad, Tina, & Papadimitriou, Spiros (2014). Fast best-effort search on graphs with multiple attributes. IEEE Transactions on Knowledge and Data Engineering, 27(3), 755--768.
Roy, Senjuti Basu, & Lykourentzou, Ioanna, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2014). Optimization in knowledge-intensive crowdsourcing. arXiv preprint arXiv:1401.1302,
Mottin, Davide, & Marascu, Alice, & Roy, Senjuti Basu, & Das, Gautam, & Palpanas, Themis, & Velegrakis, Yannis (2013). A probabilistic optimization framework for the empty-answer problem. Proceedings of the VLDB Endowment, 6(14), 1762--1773.
Basu-Roy, Senjuti, & Eliassi-Rad, Tina, & Papadimitriou, Spiros (2013). Fast and effective pattern matching on weighted attributed graphs. ACM Knowledge Discovery and Data Mining,
Zolfaghar, Kiyana, & Verbiest, Nele, & Agarwal, Jayshree, & Meadem, Naren, & Chin, Si-Chi, & Roy, Senjuti Basu, & Teredesai, Ankur, & Hazel, David, & Amoroso, Paul, & Reed, Lester (2013). Predicting risk-of-readmission for congestive heart failure patients: A multi-layer approach. arXiv preprint arXiv:1306.2094,
Roy, Senjuti Basu, & Das, Gautam, & Das, Sajal K (2012). Algorithms for computing best coverage path in the presence of obstacles in a sensor field. Journal of Discrete Algorithms, 13, 86--97.
Basu Roy, Senjuti (2011). Efficient exploration techniques on large databases. Computer Science \& Engineering,
Roy, Senjuti Basu, & Amer-Yahia, Sihem, & Chawla, Ashish, & Das, Gautam, & Yu, Cong (2010). Space efficiency in group recommendation. The VLDB Journal, 19(6), 877--900.
Amer-Yahia, Sihem, & Roy, Senjuti Basu, & Chawlat, Ashish, & Das, Gautam, & Yu, Cong (2009). Group recommendation: Semantics and efficiency. Proceedings of the VLDB Endowment, 2(1), 754--765.
Sihem, Amer-Yahia, & Roy, S, & Chawlat, Ashish, & Das, Gautam, & Yu, C (2009). Group recommendation: Semantics and efficiency. Group, 2(1), 754--765.
Esfandiari, Mohammadreza, & Roy, Senjuti Basu, & Amer-Yahia, Sihem (2018). Eliciting Worker Preference for Task Completion. arXiv preprint arXiv:1801.03233,
Roy, Senjuti Basu, & Maria, Moushumi, & Wang, Tina, & Ehlers, Anne, & Flum, David (2018). Predicting adverse events after surgery. Big data research, 13, 29--37.
Ehlers, Anne P, & Basu Roy, Senjuti, & Khor, Sara, & Mandagani, Prathyusha, & Maria, Moushumi, & Alfonso-Cristancho, Rafael, & Flum, David R (2017). Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. eGEMs (Generating Evidence & Methods to improve patient outcomes), 5(2), 3.
Mottin, Davide, & Marascu, Alice, & Basu Roy, Senjuti, & Das, Gautam, & Palpanas, Themis, & Velegrakis, Yannis (2016). A holistic and principled approach for the empty-answer problem. The VLDB Journal, 25(4), 597–622.
Ikeda, Kosetsu, & Morishima, Atsuyuki, & Rahman, Habibur, & Roy, Senjuti Basu, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2016). Collaborative crowdsourcing with crowd4U. Proceedings of the VLDB Endowment, 9(13), 1497–1500.
Rahman, Habibur, & Joppa, Lucas, & Roy, Senjuti Basu (2016). Feature based task recommendation in crowdsourcing with implicit observations. arXiv preprint arXiv:1602.03291,
Ehlers, Anne P, & Basu Roy, Senjuti, & Khor, Sara, & Mandagani, Prathyusha, & Maria, Moushumi, & Alfonso-Cristancho, Rafael, & Flum, David R (2016). Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. Concordium,
Ehlers, Anne, & Roy, Senjuti Basu, & Mandagani, Prathyusha, & Maria, Moushumi, & Khor, Sara, & Alfonso, Rafael, & Flum, David (2016). Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms. Concordium 2016,
Amer-Yahia, Sihem, & Roy, Senjuti Basu (2016). Human factors in crowdsourcing. Proceedings of the VLDB Endowment, 9(13), 1615–1618.
Chin, Si-Chi, & Liu, Rui, & Roy, Senjuti B (2016). PREDICTIVE ANALYTICS IN 30-DAY HOSPITAL READMISSIONS FOR HEART FAILURE PATIENTS. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, 439,
Roy, Senjuti Basu, & Stefanidis, Kostas, & Koutrika, Georgia, & Lakshmanan, Laks VS, & Riedewald, Mirek (2016). Report on the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016). ACM SIGMOD Record, 45(3), 35–38.
Amer-Yahia, Sihem, & Roy, Senjuti Basu (2016). Toward Worker-Centric Crowdsourcing.. IEEE Data Eng. Bull., 39(4), 3–13.
Basu Roy, Senjuti, & K, Ikea, & A, Morishima, & Saravanan, T, & Amer-Yahia, S, & Gautam, Das, & Habibur, Rahman (2016). Collaborative Crowdsourcing with Crowd4u. Proceedings of the VLDB Endowment,
Rahman, Habibur, & Roy, Senjuti Basu, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2015). " The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. arXiv preprint arXiv:1502.05106,
Roy, Senjuti Basu, & Lykourentzou, Ioanna, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2015). Task assignment optimization in knowledge-intensive crowdsourcing. The VLDB Journal, 24(4), 467--491.
Rahman, Habibur, & Thirumuruganathan, Saravanan, & Roy, Senjuti Basu, & Amer-Yahia, Sihem, & Das, Gautam (2015). Worker skill estimation in team-based tasks. Proceedings of the VLDB Endowment, 8(11), 1142--1153.
Roy, Senjuti Basu, & Eliassi-Rad, Tina, & Papadimitriou, Spiros (2014). Fast best-effort search on graphs with multiple attributes. IEEE Transactions on Knowledge and Data Engineering, 27(3), 755--768.
Roy, Senjuti Basu, & Lykourentzou, Ioanna, & Thirumuruganathan, Saravanan, & Amer-Yahia, Sihem, & Das, Gautam (2014). Optimization in knowledge-intensive crowdsourcing. arXiv preprint arXiv:1401.1302,
Mottin, Davide, & Marascu, Alice, & Roy, Senjuti Basu, & Das, Gautam, & Palpanas, Themis, & Velegrakis, Yannis (2013). A probabilistic optimization framework for the empty-answer problem. Proceedings of the VLDB Endowment, 6(14), 1762--1773.
Basu-Roy, Senjuti, & Eliassi-Rad, Tina, & Papadimitriou, Spiros (2013). Fast and effective pattern matching on weighted attributed graphs. ACM Knowledge Discovery and Data Mining,
Zolfaghar, Kiyana, & Verbiest, Nele, & Agarwal, Jayshree, & Meadem, Naren, & Chin, Si-Chi, & Roy, Senjuti Basu, & Teredesai, Ankur, & Hazel, David, & Amoroso, Paul, & Reed, Lester (2013). Predicting risk-of-readmission for congestive heart failure patients: A multi-layer approach. arXiv preprint arXiv:1306.2094,
Roy, Senjuti Basu, & Das, Gautam, & Das, Sajal K (2012). Algorithms for computing best coverage path in the presence of obstacles in a sensor field. Journal of Discrete Algorithms, 13, 86--97.
Basu Roy, Senjuti (2011). Efficient exploration techniques on large databases. Computer Science \& Engineering,
Roy, Senjuti Basu, & Amer-Yahia, Sihem, & Chawla, Ashish, & Das, Gautam, & Yu, Cong (2010). Space efficiency in group recommendation. The VLDB Journal, 19(6), 877--900.
Amer-Yahia, Sihem, & Roy, Senjuti Basu, & Chawlat, Ashish, & Das, Gautam, & Yu, Cong (2009). Group recommendation: Semantics and efficiency. Proceedings of the VLDB Endowment, 2(1), 754--765.
Sihem, Amer-Yahia, & Roy, S, & Chawlat, Ashish, & Das, Gautam, & Yu, C (2009). Group recommendation: Semantics and efficiency. Group, 2(1), 754--765.
COLLAPSE
Other
Progressive spatial searching using augmented structures
March 2021
Progressive spatial searching using augmented structures
February 2019
Machine Learning Models for Surgical Site Infection Prediction
2nd place winner in Proceedings of the AMIA KDDM-WG Symposium, American medical Informatics Association Knowledge Discovery and Data Mining Working Group, 2016
Progressive spatial searching using augmented structures
January (1st Quarter/Winter) 2015
March 2021
Progressive spatial searching using augmented structures
February 2019
Machine Learning Models for Surgical Site Infection Prediction
2nd place winner in Proceedings of the AMIA KDDM-WG Symposium, American medical Informatics Association Knowledge Discovery and Data Mining Working Group, 2016
Progressive spatial searching using augmented structures
January (1st Quarter/Winter) 2015
Chapter
Benouaret, Idir, & Amer-Yahia, Sihem, & Roy, Senjuti Basu, & Kamdem-Kengne, Christiane, & Chagraoui, Jalil (2020). Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers, Springer, Berlin, Heidelberg. (pp. 160--193). Springer, Berlin, Heidelberg