The schedule for the research track is available here.
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The Social Network Effect on Surprise in Elections
Palash Dey, Pravesh Kothari and Swaprava Nath
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Non-link Preserving Network Embedding using Subspace Learning for Network Reconstruction
Pradumn Kumar Pandey, Sourangshu Bhattacharya and Niloy Ganguly
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CQASUMM: Building References for Community Question Answering Summarization Corpora
Tanya Chowdhury and Tanmoy Chakraborty
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NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya and Sayan Ranu
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Probabilistic Path Planning using Obstacle Trajectory Prediction
Vasudha Todi, Gunjan Sengupta and Sourangshu Bhattacharya
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An Approach for Multi-modal Medical Image Retrieval using Latent Dirichlet Allocation
Mandikal Vikram, A Aditya, Suhas B S and Sowmya Kamath
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My City, My Voice: Listening to the Citizen Views from Web Sources
Manjira Sinha, Satarupa Guha, Preethy Verma, Tridib Mukerjee and Sandya Mannarswamy
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MalReG: Detecting and Analyzing Malicious Retweeter Groups
Sonu Gupta, Ponnurangam Kumaraguru and Tanmoy Chakraborty
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Enhanced Learning to Rank using Cluster-loss Adjustment
Ahsaas Bajaj, Hemant Tiwari and Vanraj Vala
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PRIL: Perceptron Ranking Using Interval Labels
Naresh Manwani
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Learning from Low Training Data using Classifiers with Derivative Constraints
Sumit Soman and Jayadeva
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Deeply Coupled Graph Structured Autoencoder for Domain Adaptation
Angshul Majumdar
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Root Rank: A Relational Operator for KWS Result Ranking
Vinay Ms and Jayant R. Haritsa
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On the Enumeration of Maximal $(\Delta, \gamma)$\mbox{-}Cliques of a Temporal Network
Suman Banerjee and Bithika Pal
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Near-Separable Non-negative Matrix Factorization Using L1-Optimization
Rahul Garg, Chayan Sharma, Aashish Nagpal and Pawan Kumar
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Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN)
Monidipa Das and Soumya Ghosh
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Where to Post: Routing Questions to Right Community in Community Question Answering Systems
Nagendra Kumar, Srikanth G, Karthik Yadav Mudda, Gayam Trishal, Anand Konjengbam and Manish Singh
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Towards designing an Automated Classification of Lymphoma Subtypes using Deep Neural Networks
Rucha Tambe, Sarang Mahajan, Urmil Shah, Mohit Agrawal and Dr. Bhushan Garware
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Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
Athindran Ramesh Kumar, Balaraman Ravindran and Anand Raghunathan
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Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking
Gutha Jaya Krishna and Vadlamani Ravi
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RepliSmart: A Smart Replication framework for optimal query throughput in read-heavy environments
R K N Sai Krishna, Tekur Chandrasekhar and Phani Arnab
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DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani, Anush Sankaran and Rahul Aralikatte
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Monitoring the growth of polycystic ovary syndrome using Mono-modal image registration technique
Suganya R, Vinodhini R and Rajaram S
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HyPSo: Hybrid Partitioning for Big RDF Storage and Query Processing
Tanvi Chawla, Girdhari Singh and Emmanuel S. Pilli
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Goal-based Ontology Creation for NLQ in SAP-ERP Platform
Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen and Senthil Mani
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A Hierarchical Approach to Skin Lesion Classification
Rahul Kulhalli, Chinmay Savadikar and Bhushan Garware
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Unsupervised Multi-task Learning Dialogue Management with Recurrent Neural Networks
Sushravya G M and Shubhashis Sengupta
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Identifying Multi-dimensional Information from Microblogs During Epidemics
Shalmoli Ghosh, Koustav Rudra, Saptarshi Ghosh, Niloy Ganguly, Sanjay Podder, Naveen Balani and Neville Dubash
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Fast Online 'Next Best Offers' using Deep Learning
Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma and Vartika Tewari
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Catch-phrase based Document Representation for Improved Prior Art Search
Nidhi Saraswat, Ishan Verma and Viren Gupta
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Intelligent Correction Predictor
Sudhir Verma and Uma Rani T M
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Semantic Harmonisation of Numeric Data from Open Government Data
Asha Subramanian, Pavan Kumar Raichur Rajoli, Manikanta Vikkurthi and Pier Luigi Buttigieg
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EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud
Vatun Natu and Rahul Ghosh
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HYDRA: A Dynamic Big Data Regenerator
Anupam Sanghi, Raghav Sood, Dharmendra Singh, Jayant Haritsa and Srikanta Tirthapura
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Digital Auditor: A framework for detecting duplicate invoices
Himanshu Bhatt, Shourya Roy, Di Xu, Lokesh Bhatnagar, Chetan Lohani and Vinit Jain
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How can Chatbots Understand Emotions?
Ankush Chatterjee, Umang Gupta, Meghana Joshi, Sonam Damani, Kedhar Nath Narahari, Khyatti Gupta, Nitya Raviprakash and Puneet Agrawal
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Shellmark: A Robust Software Watermarking Tool
Ayan Dey, Rahul Dutta, Sukriti Bhattacharya and Nabendu Chaki
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McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai and Bamdev Mishra
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Relational-like Query Language for Archetypes in Standardized Electronic Health Records Databases
Shelly Sachdeva, Wanming Chu and Subhash Bhalla
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Anomaly Detection in Surveillance Videos
Sukalyan Bhakat and Ganesh Ramakrishnan
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Recommendence and Fashionsence - Online Fashion Advisor for Offline Experience
Sujoy Roychowdhury, Sapna ., Khyati Baradia, Ria Chakraborty, Tanveer Khan and Anagha M
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When science journalism meets artificial intelligence : An interactive demonstration
Bakhtiyar Syed, Raghuram Vadapalli, Nishant Prabhu, Balaji Vasan Srinivasan and Vasudeva Varma
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Open data using Cloud infrastructure
Vani Mandava
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clstk: The Cross-lingual Summarization Tool-kit
Nisarg Jhaveri, Manish Gupta and Vasudeva Varma
The schedule for theYoung Researchers' Symposium is available here.
- A "Poker-Styled" On-Device Selective Privacy Preserving Framework for Recommender Systems
Ariyam Das and Manoj Reddy Dareddy
- A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks
Manjari Pradhan and Bhargab Bhattacharya
- Efficient Budget Allocation and Task Assignment in Crowdsourcing
Indu John and Shalabh Bhatnagar
- CNN-based Context Sensitive Lemmatization
Abhisek Chakrabarty, Akshay Chaturvedi and Utpal Garain
- From “Think Like a Vertex” to “Think Like an Interval”
Swapnil Gandhi and Yogesh Simmhan
- Can Siamese Networks help in stance detection?
Santosh Tokala Yaswanth Sri Sai, Srijan Bansal, Avirup Saha and Niloy Ganguly
- Curating Resource Needs and Availabilities from Microblog During a Natural Disaster: A Case Study on the 2015 Chennai Floods
Abhinav Sarkar, Swagata Roy and Moumita Basu
- Applications of Machine Learning in Analysis of Citation Network
Dinesh Kumar Pradhan, Joyita Chakraborty and Subrata Nandi
- Privacy Preserved Vehicle Navigation System
Barnana Baruah and Subhasish Dhal
- Tweeting in Support of LGBT? A Deep Learning Approach
Aparup Khatua, Erik Cambria, Kuntal Ghosh, Nabendu Chaki and Apalak Khatua
- Can We Escape the "Originals"?
Abhisek Dash
- Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation
Abhijeet Dubey, Aditya Joshi and Pushpak Bhattacharyya
- Cognate Identification to improve Phylogenetic trees for Indian Languages
Diptesh Kanojia, Pushpak Bhattacharyya, Malhar Kulkarni and Gholemreza Haffari
- Hate Speech Detection in Hindi-English Code-Mixed Social Media Text
Santosh Tokala Yaswanth Sri Sai, Aravind K.V.S and Niloy Ganguly
- Challenges of coreference resolution in biomedical text and experimenting with the biological entities
Ishani Mondal, Sudeshna Sarkar and Pawan Goyal
- Network Sampling Using k-hop Random Walks for Heterogeneous Network Embedding
Akash Anil, Shubham Singhal, Piyush Jain, Sanasam Ranbir Singh, Ajay Ladhar, Sandeep Singh and Uppinder Chugh
- Analyzing Interaction Dynamics in Social Networks through Social Yield
Roshni Chakraborty and Joydeep Chandra
- Query Oriented Extractive-Abstractive Summarization System (QEASS)
Girthana K and Swamynathan S
- Channel Selection in Dynamic Networks of Unknown Size
Rohit Kumar
- Maximizing the Earned Benefit in an Incentivized Social Networking Environment: An Integer Programming-Based Approach
Suman Banerjee, Mamata Jenamani and Dilip Pratihar
- Quality Enhancement in Crowdsourcing
Bijoly Saha Bhattacharya
- Leveraging Ontological Knowledge for Neural Language Models
Ameet Deshpande and Monisha Jegadeesan
- Emotive Stimuli-triggered Participant-based Clustering Using a Novel Split-and-Merge Algorithm
Surabhi Nath, Dyutiman Mukhopadhyay and Krishna Miyapuram
- Rooftop Detection using Aerial Drone Imagery
Kritik Soman
- Big Streaming Graph Analysis
Braznev Sarkar
- Travel Time Prediction of Taxis using Tensor Factorization
Soumya Suvra Ghosal
- Softmax Coaxial Gaussian Track Code for Fingerprint Indexing
Geetika Arora, Tanvi Aggarwal and Kamlesh Tiwari
- Continual Learning with Neural Networks: A Review
Abhijeet Awasthi and Sunita Sarawagi