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ORCID24th COMAD / 6th CODS 2019: Kolkata, India
- Raghu Krishnapuram, Parag Singla:
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2019, Kolkata, India, January 3-5, 2019. ACM 2019, ISBN 978-1-4503-6207-8
Research Track (Oral Presentations)
- Palash Dey, Pravesh K. Kothari, Swaprava Nath
:
The Social Network Effect on Surprise in Elections. 1-9 - Pradumn Kumar Pandey, Sourangshu Bhattacharya, Niloy Ganguly:
Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction. 10-17 - Tanya Chowdhury, Tanmoy Chakraborty:
CQASUMM: Building References for Community Question Answering Summarization Corpora. 18-26 - Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu:
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. 27-35 - Vasudha Todi, Gunjan Sengupta, Sourangshu Bhattacharya:
Probabilistic Path Planning using Obstacle Trajectory Prediction. 36-43 - Mandikal Vikram, Aditya Anantharaman, Suhas BS, Sowmya Kamath S.:
An Approach for Multimodal Medical Image Retrieval using Latent Dirichlet Allocation. 44-51 - Manjira Sinha, Satarupa Guha, Preethy Varma, Tridib Mukherjee, Sandya Mannarswamy:
My City, My Voice: Listening to the Citizen Views from Web Sources. 52-60 - Sonu Gupta, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
MalReG: Detecting and Analyzing Malicious Retweeter Groups. 61-69 - Ahsaas Bajaj, Hemant Tiwari, Vanraj Vala:
Enhanced Learning to Rank using Cluster-loss Adjustment. 70-77 - Naresh Manwani:
PRIL: Perceptron Ranking Using Interval Labels. 78-85 - Sumit Soman, Jayadeva:
Learning from Low Training Data using Classifiers with Derivative Constraints. 86-93 - Angshul Majumdar:
Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. 94-102 - Vinay M. S., Jayant R. Haritsa:
Root Rank: A Relational Operator for KWS Result Ranking. 103-111 - Suman Banerjee, Bithika Pal:
On the Enumeration of Maximal (Δ, γ)-Cliques of a Temporal Network. 112-120 - Aashish Nagpal, Chayan Sharma, Rahul Garg, Pawan Kumar:
Near-Separable Non-negative Matrix Factorization Using L1-Optimization. 121-127
Research Track (Poster Presentations)
- Monidipa Das, Soumya K. Ghosh:
Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN). 129-135 - Nagendra Kumar, Srikanth G, Karthik Yadav Mudda, Gayam Trishal, Anand Konjengbam, Manish Singh:
Where to Post: Routing Questions to Right Community in Community Question Answering Systems. 136-142 - Rucha Tambe, Sarang Mahajan, Urmil Shah, Mohit Agrawal, Bhushan Garware:
Towards Designing an Automated Classification of Lymphoma subtypes using Deep Neural Networks. 143-149 - Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan:
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. 150-156 - Gutha Jaya Krishna, Vadlamani Ravi:
Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking. 157-163 - R. K. N. Sai Krishna, Chandrasekhar Tekur, Arnab Phani:
RepliSmart: A Smart Replication framework for optimal query throughput in read-heavy environments. 164-170 - Senthil Mani, Anush Sankaran, Rahul Aralikatte:
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging. 171-179 - Suganya Ramamoorthy, Vinodhini R., Rajaram Siva Subramanian:
Monitoring the growth of Polycystic Ovary Syndrome using Mono-modal Image Registration Technique: Application of Medical Big Data in Healthcare. 180-187 - Tanvi Chawla, Girdhari Singh, Emmanuel S. Pilli:
HyPSo: Hybrid Partitioning for Big RDF Storage and Query Processing. 188-194
Industry Track
- Sushravya GM, Shubhashis Sengupta:
Unsupervised Multi-task Learning Dialogue Management. 196-202 - Sudhir Verma, Uma Rani T. M:
Intelligent Correction Predictor. 203-209 - Nidhi Saraswat, Ishan Verma, Viren Gupta:
Catch-phrase based Document Representation for Improved Prior Art Search. 210-216 - Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari:
Fast Online 'Next Best Offers' using Deep Learning. 217-223 - Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani, Neville Dubash:
Identifying Multi-dimensional Information from Microblogs During Epidemics. 224-230 - Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen, Senthil Mani:
Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform. 231-237 - Asha Subramanian, Pavan Kumar RR, Vikkurthi Manikanta, Pier Luigi Buttigieg:
Semantic Harmonisation of Numeric Data from Open Government Data. 238-244 - Rahul Kulhalli, Chinmay Savadikar, Bhushan Garware:
A Hierarchical Approach to Skin Lesion Classification. 245-250
Demo Track
- Sukalyan Bhakat, Ganesh Ramakrishnan:
Anomaly Detection in Surveillance Videos. 252-255 - Sapna Ria Chakraborty, Anagha M., Kartikeya Vats, Khyati Baradia, Tanveer Khan, Sandipan Sarkar, Sujoy Roychowdhury:
Recommendence and Fashionsence: Online Fashion Advisor for Offline Experience. 256-259 - Ayan Dey, Rahul Dutta, Sukriti Bhattacharya, Nabendu Chaki:
Shellmark: A Robust Software Watermarking Tool. 260-264 - Varun Natu, Rahul Ghosh:
EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. 265-268 - Vani Mandava:
Open data using Cloud infrastructure: An initiative to host, share and use open data using cloud services. 269-271 - Shelly Sachdeva, Wanming Chu, Subhash Bhalla:
Relational-like Query Language for Archetypes in Standardized Electronic Health Records Databases. 272-275
Young Researchers' Symposium Track
- Surabhi S. Nath, Dyutiman Mukhopadhyay, Krishna P. Miyapuram:
Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm. 277-280 - Kritik Soman:
Rooftop Detection using Aerial Drone Imagery. 281-284 - Braznev Sarkar:
Big Streaming Graph Analysis. 285-288 - Abhijeet Dubey, Aditya Joshi, Pushpak Bhattacharyya:
Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation. 289-292 - Manjari Pradhan, Bhargab B. Bhattacharya:
A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks. 293-296 - Diptesh Kanojia, Malhar Kulkarni, Pushpak Bhattacharyya, Gholamreza Haffari:
Cognate Identification to improve Phylogenetic trees for Indian Languages. 297-300 - K. Girthana, S. Swamynathan:
Query Oriented Extractive-Abstractive Summarization System (QEASS). 301-305 - T. Y. S. S. Santosh, Srijan Bansal, Avirup Saha:
Can Siamese Networks help in stance detection? 306-309 - T. Y. S. S. Santosh, K. V. S. Aravind:
Hate Speech Detection in Hindi-English Code-Mixed Social Media Text. 310-313 - Soumya Suvra Ghosal:
Travel Time Prediction of Taxis using Tensor Factorization. 314-317 - Indu John, Shalabh Bhatnagar:
Efficient Budget Allocation and Task Assignment in Crowdsourcing. 318-321 - Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
Maximizing the Earned Benefit in an Incentivized Social Networking Environment: An Integer Programming-Based Approach. 322-325 - Geetika Arora, Tanvi Aggarwal, Kamlesh Tiwari:
Softmax Coaxial Gaussian Track Code for Fingerprint Indexing. 326-329 - Dinesh Kumar Pradhan, Joyita Chakraborty, Subrata Nandi:
Applications of Machine Learning in Analysis of Citation Network. 330-333 - Abhisek Chakrabarty, Akshay Chaturvedi, Utpal Garain:
CNN-based Context Sensitive Lemmatization. 334-337 - Abhinav Sarkar, Swagata Roy, Moumita Basu:
Curating Resource Needs and Availabilities from Microblog During a Natural Disaster: A Case Study on the 2015 Chennai Floods. 338-341 - Aparup Khatua, Erik Cambria, Kuntal Ghosh, Nabendu Chaki, Apalak Khatua:
Tweeting in Support of LGBT?: A Deep Learning Approach. 342-345 - Bijoly Saha Bhattacharya:
Quality Enhancement in Crowdsourcing. 346-349 - Ameet Deshpande, Monisha Jegadeesan:
Leveraging Ontological Knowledge for Neural Language Models. 350-353 - Akash Anil, Shubham Singhal, Piyush Jain, Sanasam Ranbir Singh, Ajay Ladhar, Sandeep Singh, Uppinder Chugh:
Network Sampling Using k-hop Random Walks for Heterogeneous Network Embedding. 354-357 - Roshni Chakraborty, Joydeep Chandra:
Analyzing Interaction Dynamics in Social Networks through Social Yield. 358-361 - Abhijeet Awasthi, Sunita Sarawagi:
Continual Learning with Neural Networks: A Review. 362-365
Tutorials Track
- Senjuti Basu Roy:
Human-in-the-loop Exploration of Composite Items. 367 - Omprakash Sonie, Muthusamy Chelliah, Shamik Sural:
Personalised Fashion Recommendation using Deep Learning. 368
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