Arnab Bhattacharya

According to our database, Arnab Bhattacharya authored at least 109 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models.

Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity, Arnab Bhattacharya

CoRR, 2024

RSVP: Beyond Weisfeiler Lehman Graph Isomorphism Test.

Sourav Dutta, Arnab Bhattacharya

CoRR, 2024

VAIYAKARANA : A Benchmark for Automatic Grammar Correction in Bangla.

Pramit Bhattacharyya, Arnab Bhattacharya

CoRR, 2024

PARAMANU-GANITA: Language Model with Mathematical Capabilities.

Mitodru Niyogi, Arnab Bhattacharya

CoRR, 2024

PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents.

Mitodru Niyogi, Arnab Bhattacharya

CoRR, 2024

Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models.

Mitodru Niyogi, Arnab Bhattacharya

CoRR, 2024

A Likelihood Ratio Test of Genetic Relationship among Languages.

V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer.

V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Short-Term Fog Forecasting using Meteorological Observations at Airports in North India.

Shruti Sharma, Kriti Bajaj, Prasad Deshpande, Arnab Bhattacharya, Shivam Tripathi

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information.

Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts.

Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs.

Hrishikesh Terdalkar, Arnab Bhattacharya

CoRR, 2023

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation.

Hrishikesh Terdalkar, Arnab Bhattacharya

CoRR, 2023

Comparative Analysis of Artificial Intelligence for Indian Legal Question Answering (AILQA) Using Different Retrieval and QA Models.

Shubham Kumar Nigam, Shubham Kumar Mishra, Ayush Kumar Mishra, Noel Shallum, Arnab Bhattacharya

CoRR, 2023

Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation.

Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

VACASPATI: A Diverse Corpus of Bangla Literature.

Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction.

V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Task and Model Agnostic Adversarial Attack on Graph Neural Networks.

Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022.

Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Kumar Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam

SIGIR Forum, June, 2022

SpotSpam: Intention Analysis-driven SMS Spam Detection Using BERT Embeddings.

C. Oswald, Sona Elza Simon, Arnab Bhattacharya

ACM Trans. Web, 2022

Chandojnanam: A Sanskrit Meter Identification and Utilization System.

Hrishikesh Terdalkar, Arnab Bhattacharya

CoRR, 2022

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text.

Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh

CoRR, 2022

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models.

Shashwat Bhattacharya, Mahendra K. Verma, Arnab Bhattacharya

CoRR, 2022

nigam@COLIEE-22: Legal Case Retrieval and Entailment Using Cascading of Lexical and Semantic-Based Models.

Shubham Kumar Nigam, Navansh Goel, Arnab Bhattacharya

Proceedings of the New Frontiers in Artificial Intelligence, 2022

Comparison of In-Situ FOG Observations with Insat-3D Satellite FOG Product for North Indian Cities.

Prasad Deshpande, Shivam Tripathi, Arnab Bhattacharya

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms.

C. Oswald, Gadi Jaya Sathwika, Arnab Bhattacharya

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

HLDC: Hindi Legal Documents Corpus.

Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Semantic Segmentation of Legal Documents via Rhetorical Roles.

Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Kumar Nigam, Arnab Bhattacharya, Ashutosh Modi

Proceedings of the Natural Legal Language Processing Workshop, 2022

2021

TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services.

Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya

IEEE Trans. Knowl. Data Eng., 2021

ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation.

Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi

CoRR, 2021

Sangrahaka: a tool for annotating and querying knowledge graphs.

Hrishikesh Terdalkar, Arnab Bhattacharya

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations.

Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021.

Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the Working Notes of FIRE 2021, 2021

AILA 2021: Shared task on Artificial Intelligence for Legal Assistance.

Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the FIRE 2021: Forum for Information Retrieval Evaluation, Virtual Event, India, December 13, 2021

Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques.

Parth Nagarkar, Arnab Bhattacharya, Omid Jafari

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs.

Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality.

Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation.

Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs.

Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya

Proc. VLDB Endow., 2020

GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations.

Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu

CoRR, 2020

FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.

Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the FIRE 2020: Forum for Information Retrieval Evaluation, 2020

Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance.

Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the Working Notes of FIRE 2020, 2020

How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs.

Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

RAQ: Relationship-Aware Graph Querying in Large Networks.

Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya

Proceedings of the World Wide Web Conference, 2019

GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics.

Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher

Proceedings of the 2019 International Conference on Management of Data, 2019

Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.

Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the Working Notes of FIRE 2019, 2019

FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance.

Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder

Proceedings of the FIRE '19: Forum for Information Retrieval Evaluation, 2019

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services.

Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018

Image Management for Biological Data.

Arnab Bhattacharya, Vebjorn Ljosa

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces.

Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya

Proc. VLDB Endow., 2018

Finding a largest rectangle inside a digital object and rectangularization.

Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya

J. Comput. Syst. Sci., 2018

Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora.

Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya

CoRR, 2018

Identifying User Intent and Context in Graph Queries.

Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya

CoRR, 2018

Patterns for Indexing Large Datasets.

Garima Gaur, Sumit Kalra, Arnab Bhattacharya

Proceedings of the 23rd European Conference on Pattern Languages of Programs, 2018

MineAr: using crowd knowledge for mining association rules in the health domain.

Milan Someswar, Arnab Bhattacharya

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Finding shell company accounts using anomaly detection.

Devendra Kumar Luna, Girish Keshav Palshikar, Manoj Apte, Arnab Bhattacharya

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings.

Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh

Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

LDA Topic Modeling Based Dataset Dependency Matrix Prediction.

Hindol Bhattacharya, Arnab Bhattacharya, Samiran Chattopadhyay, Matangini Chattopadhyay

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018

2017

SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries.

Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya

Proc. VLDB Endow., 2017

Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics.

Sourav Dutta, Pratik Nayek, Arnab Bhattacharya

Proceedings of the 26th International Conference on World Wide Web, 2017

Automatic Grading and Feedback using Program Repair for Introductory Programming Courses.

Sagar Parihar, Ziyaan Dadachanji, Praveen Kumar Singh, Rajdeep Das, Amey Karkare, Arnab Bhattacharya

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services.

Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines.

Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents.

Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh

Proceedings of the Working notes of FIRE 2017, 2017

Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints.

Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya

Proceedings of the 10th Annual ACM India Compute Conference, 2017

Stopword Removal: Why Bother? A Case Study on Verbose Queries.

Kripabandhu Ghosh, Arnab Bhattacharya

Proceedings of the 10th Annual ACM India Compute Conference, 2017

Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials.

Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs.

Satyajit Bhadange, Akhil Arora, Arnab Bhattacharya

Proc. VLDB Endow., 2016

SMS: Stable Matching Algorithm using Skylines.

Rohit Anurag, Arnab Bhattacharya

Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

Finding Largest Rectangle Inside a Digital Object.

Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya

Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016

SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees.

Shubhendu Aggarwal, Shubhadip Mitra, Arnab Bhattacharya

Proceedings of the 21st International Conference on Management of Data, 2016

2015

Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations.

Arnab Bhattacharya, Shrikant Awate

Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Generation of Random Triangular Digital Curves Using Combinatorial Techniques.

Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

Trajectory aware macro-cell planning for mobile users.

Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships.

Arpit Jain, Arnab Bhattacharya

Proceedings of the Database Systems for Advanced Applications, 2015

Using social connections to improve collaborative filtering.

Kanish Manuja, Arnab Bhattacharya

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

Generation of Random Digital Curves Using Combinatorial Techniques.

Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya

Proceedings of the Algorithms and Discrete Applied Mathematics, 2015

2014

Mining statistically significant connected subgraphs in vertex labeled graphs.

Akhil Arora, Mayank Sachan, Arnab Bhattacharya

Proceedings of the International Conference on Management of Data, 2014

Efficient and Effective Route Planning in Road Networks with Probabilistic Data using Skyline Paths.

Arzoo Katiyar, Arnab Bhattacharya, Shubhadip Mitra

Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

Emotion Recognition from Audio and Visual Data using F-score based Fusion.

Abhishek Gera, Arnab Bhattacharya

Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014, 2014

2013

Constraint Satisfaction over Generalized Staircase Constraints

Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya

CoRR, 2013

Evolution of the Modern Phase of Written Bangla: A Statistical Study.

Paheli Bhattacharya, Arnab Bhattacharya

Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

Efficient edit distance based string similarity search using deletion neighborhoods.

Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

RCached-tree: an index structure for efficiently answering popular queries.

Manash Pal, Arnab Bhattacharya, Debjyoti Paul

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Mining Statistically Significant Substrings using the Chi-Square Statistic.

Mayank Sachan, Arnab Bhattacharya

Proc. VLDB Endow., 2012

Hybrid HBase: Leveraging Flash SSDs to Improve Cost per Throughput of HBase.

Anurag Awasthi, Avani Nandini, Arnab Bhattacharya, Priya Sehgal

Proceedings of the 18th International Conference on Management of Data, 2012

A Plant Identification System using Shape and Morphological Features on Segmented Leaflets: Team IITK, CLEF 2012.

Akhil Arora, Ankit Gupta, Nitesh Bagmar, Shashwat Mishra, Arnab Bhattacharya

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011

Finding the bias and prestige of nodes in networks based on trust scores.

Abhinav Mishra, Arnab Bhattacharya

Proceedings of the 20th International Conference on World Wide Web, 2011

A continuous query system for dynamic route planning.

Nirmesh Malviya, Samuel Madden, Arnab Bhattacharya

Proceedings of the 27th International Conference on Data Engineering, 2011

Caching Stars in the Sky: A Semantic Caching Approach to Accelerate Skyline Queries.

Arnab Bhattacharya, B. Palvali Teja, Sourav Dutta

Proceedings of the Database and Expert Systems Applications, 2011

Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees.

Ashish Gupta, Akshay Mittal, Arnab Bhattacharya

Proceedings of the 17th International Conference on Management of Data, 2011

2010

Mining Statistically Significant Substrings Based on the Chi-Square Measure

Sourav Dutta, Arnab Bhattacharya

CoRR, 2010

Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology.

Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh

Proceedings of the Scientific and Statistical Database Management, 2010

Most Significant Substring Mining Based on Chi-square Measure.

Sourav Dutta, Arnab Bhattacharya

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Querying spatial patterns.

Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh

Proceedings of the EDBT 2010, 2010

Minimum Spanning Tree on Spatio-Temporal Networks.

Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya

Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

INSTRUCT - Space-Efficient Structure for Indexing and Complete Query Management of String Databases.

Sourav Dutta, Arnab Bhattacharya

Proceedings of the 16th International Conference on Management of Data, 2010

Aggregate Skyline Join Queries: Skylines with Aggregate Operations over Multiple Relations.

Arnab Bhattacharya, B. Palvali Teja

Proceedings of the 16th International Conference on Management of Data, 2010

2009

Image Management for Biological Data.

Arnab Bhattacharya, Vebjorn Ljosa

Proceedings of the Encyclopedia of Database Systems, 2009

Finding Significant Subregions in Large Image Databases

Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh

CoRR, 2009

On Low Distortion Embeddings of Statistical Distance Measures into Low Dimensional Spaces.

Arnab Bhattacharya, Purushottam Kar, Manjish Pal

Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

2008

A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics.

Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Michelle Gaylord, Leslie Wilson, Ambuj K. Singh, Stuart C. Feinstein

BMC Bioinform., 2008

Efficient Computation of Statistical Significance of Query Results in Databases.

Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh

Proceedings of the Scientific and Statistical Database Management, 2008

2007

MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models.

Arnab Bhattacharya, Anand Meka, Ambuj K. Singh

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006

LB-Index: A Multi-Resolution Index Structure for Images.

Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh

Proceedings of the 22nd International Conference on Data Engineering, 2006

Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds.

Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh

Proceedings of the Advances in Database Technology, 2006

2005

ViVo: Visual Vocabulary Construction for Mining Biomedical Images.

Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos, Ambuj K. Singh

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Current Challenges in Bioimage Database Design.

Ambuj K. Singh, Arnab Bhattacharya, Vebjorn Ljosa

Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

2004

ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure.

Arnab Bhattacharya, Tolga Can, Tamer Kahveci, Ambuj K. Singh, Yuan-Fang Wang

Proceedings of the Biocomputing 2004, 2004