Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID25th COMAD / 7th CODS 2020: Hyderabad, India
- Rishiraj Saha Roy:
CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, Hyderabad India, January 5-7, 2020. ACM 2020, ISBN 978-1-4503-7738-6
Long Papers
- Shanmugasundaram Vengadeswaran
, Sadhu Ramakrishnan Balasundaram:
CLUST: Grouping Aware Data Placement for Improving the Performance of Large-Scale Data Management System. 1-9 - Saurabh Ravindranath, Rahul Baburaj, Vineeth N. Balasubramanian, NageswaraRao Namburu, Sujit Gujar, C. V. Jawahar:
Human-Machine Collaboration for Face Recognition. 10-18 - Radhakrishnan Maivizhi, Palanichamy Yogesh:
Concealed Multidimensional Data Aggregation in Big Data Wireless Sensor Networks. 19-27 - Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu TV:
Meta-Learning for Few-Shot Time Series Classification. 28-36 - Abhishek Goyal, Rahul Garg:
Effective EEG Connectivity by Sparse Vector Autoregressive Model. 37-45 - Monika Bansal, Dolly Sharma:
Ranking and Discovering Anomalous Neighborhoods in Attributed Multiplex Networks. 46-54 - Anant Khandelwal, Niraj Kumar:
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts. 55-64 - Natwar Modani, Manoj Kilaru, Anjan Kaur, Ritwik Sinha, Harsh Khetan:
Predicting Outcomes in Limited-Overs Cricket Matches. 65-72 - Chahat Bansal, Arpit Jain, Phaneesh Barwaria, Anuj Choudhary, Anupam Singh, Ayush Gupta, Aaditeshwar Seth:
Temporal Prediction of Socio-economic Indicators Using Satellite Imagery. 73-81 - Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla:
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. 82-89 - Himanshu Kumar, Naresh Manwani, P. S. Sastry:
Robust Learning of Multi-Label Classifiers under Label Noise. 90-97 - Sapan Tanted, Anshul Ajay Agarwal, Shinjan Mitra, Chaitra Bahuman, Krithi Ramamritham:
Database and Caching Support for Adaptive Visualization of Large Sensor Data. 98-106 - Arindam Bhattacharya, Srikanta Bedathur, Amitabha Bagchi:
Adaptive Learned Bloom Filters under Incremental Workloads. 107-115 - Binny Mathew, Navish Kumar, Pawan Goyal, Animesh Mukherjee:
Interaction dynamics between hate and counter users on Twitter. 116-124 - Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. 125-133 - Vyshnavi Gutta, Narendra Babu Unnam, P. Krishna Reddy:
An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering. 134-142 - Dinesh Jain, Srinivas Anumasa, P. K. Srijith:
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. 143-151 - Aditya Jayasimha, Tushaar Gangavarapu, S. Sowmya Kamath, Gokul S. Krishnan:
Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes. 152-160 - Lily Chamakura, Goutam Saha:
Feature Selection for High-Dimensional Data Through Instance Vote Combining. 161-169
Short Papers
- Nikit Begwani, Shrutendra Harsola, Rahul Agrawal:
Learning From Weights: Cost-Sensitive Approach For Retrieval. 170-174 - Vijay Gaikwad, Yashodhara Haribhakta:
Adaptive GloVe and FastText Model for Hindi Word Embeddings. 175-179 - Sumanto Dutta, Anup Nandy:
An Extensive Analysis on Deep Neural Architecture for Classification of Subject-Independent Cognitive States. 180-184 - K. V. Arya, Shresth Verma, Raj Kuwar Gupta, Soumya Agarwal, Prince Gupta:
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments. 185-189 - Koninika Pal, Vinh Thinh Ho, Gerhard Weikum:
Co-Clustering Triples from Open Information Extraction. 190-194 - Hemavati, V. Susheela Devi, Seba Ann Kuruvilla, R. Aparna:
Prototype Selection and Dimensionality Reduction on Multi-Label Data. 195-199 - Akshay Parekh, Ashish Anand, Amit Awekar:
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases. 200-203 - Saransh Khandelwal, Dhananjay Kumar:
Computational Fact Validation from Knowledge Graph using Structured and Unstructured Information. 204-208 - Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal:
Coverage Pattern Mining Based on MapReduce. 209-213 - Bithika Pal, Mamata Jenamani:
Personalized Ranking in Collaborative Filtering: Exploiting l-th Order Transitive Relations of Social Ties. 214-218 - Saswata Roy, Brijendra Kumar Suman, Joydeep Chandra, Sourav Kumar Dandapat:
Forecasting the Future: Leveraging RNN based Feature Concatenation for Tweet Outbreak Prediction. 219-223 - Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly:
Topic Influence Graph Based Analysis of Seminal Papers. 224-228 - Dev Yashpal Sheth, Arun Rajkumar:
Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters. 229-233 - Priyanka Ravva, Ashok Urlana, Manish Shrivastava:
AVADHAN: System for Open-Domain Telugu Question Answering. 234-238 - Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. 239-243 - Shashi Kumar, Suman Roy, Vishal Pathak:
A Hybrid Distributed Model for Learning Representation of Short Texts with Attribute Labels. 244-248 - Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra:
PlantDoc: A Dataset for Visual Plant Disease Detection. 249-253
Industry Track
- Pranay Lohia, Kalapriya Kannan, Karan Rai, Srikanta Bedathur:
Ranking Marginal Influencers in a Target-labeled Network. 254-260 - Salil Rajeev Joshi, Bharath Venkatesh, Dawn Thomas, Yue Jiao, Shourya Roy:
A Natural Language and Interactive End-to-End Querying and Reporting System. 261-267 - Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. 268-274 - Sumit Kumar, Gopi Ramena, Manoj Goyal, Debi Prasanna Mohanty, Ankur Agarwal, Benu Madhab Changmai, Sukumar Moharana:
On-Device Information Extraction from Screenshots in form of tags. 275-281 - Chinmay Savadikar, Shahram Tahvilian, Lara Baden, Rebecca Reed, Daniel Leventon, Paul Pagano, Bhushan Garware:
Towards Designing Accurate FISH Probe Detection using 3D U-Nets on Microscopic Blood Cell Images. 282-288 - Anmol Nayak, Vaibhav Kesri, Rahul Kumar Dubey:
Knowledge Graph based Automated Generation of Test Cases in Software Engineering. 289-295 - Nausheen Fatma, Niharika Sachdeva, Nitendra Rajput:
Canonicalizing Organization Names for Recruitment Domain. 296-301
Demonstrations Track
- Abhishek Bagade, Ashwini Pale, Shreyans Sheth, Megha Agarwal, Soumen Chakrabarti, Kameswari Chebrolu, S. Sudarshan:
The Kauwa-Kaate Fake News Detection System: Demo. 302-306 - Suryatej Reddy Vyalla, Vishaal Udandarao:
Memeify: A Large-Scale Meme Generation System. 307-311 - Somu Prajapati, Ayushi Gupta, Shubham Kumar Nigam, Swaprava Nath:
SwaGrader: A Honest Effort Extracting, Modular Peer-Grading Tool. 312-316 - Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey:
A System for Analysis, Visualization and Retrieval of Crime Documents. 317-321
Young Researchers' Symposium (YRS) Track
- Vinu E. Venugopal, Martin Theobald:
Benchmarking Synchronous and Asynchronous Stream Processing Systems. 322-323 - Diptesh Kanojia, Sravan Munukutla, Sayali Ghodekar, Pushpak Bhattacharyya, Malhar Kulkarni:
Keep Your Dimensions on a Leash: True Cognate Detection using Siamese Deep Neural Networks. 324-325 - S. Deepak Narayanan, Apoorv Agnihotri, Nipun Batra:
Active Learning for Air Quality Station Location Recommendation. 326-327 - Moksh Jain, S. Sowmya Kamath:
Improving Convergence in IRGAN with PPO. 328-329 - Yashasvi Mantha, Diptesh Kanojia, Abhijeet Dubey, Pushpak Bhattacharyya, Malhar Kulkarni:
Harnessing Deep Cross-lingual Word Embeddings to Infer Accurate Phylogenetic Trees. 330-331 - Urmi Saha, Abhijeet Dubey, Aditya Joshi, Pushpak Bhattachharyya:
Enhancing Neural Sentiment Analysis with Aspect Weights. 332-333 - Karan Kumar, Nipun Batra:
Solar Energy Forecasting Using Machine Learning. 334-335 - Garima Shakya:
Protecting Elections. 336-337 - Chahat Bansal:
Describing Patterns of Socio-Economic Development at Fine Spatial and Temporal Resolutions. 338-339 - Sayani Mondal, Partha Pratim Das:
Estimation of Software Productivity from Code Reading Pattern. 340 - Souvik Roy, Nipun Batra, Pawan Gupta:
Estimation of PM2.5 using satellite and meteorological data. 341-342 - Ishani Mondal:
Approaches to biomedical coreference resolution. 343-344 - Akhilesh Ravi, Amit Kumar Singh Yadav, Jainish Chauhan, Jatin Dholakia, Naman Jain:
SentEmoji: A Dataset to Generate Empathising Conversations. 345-346 - Jyotsana Khatri, V. Rudra Murthy, Pushpak Bhattacharyya:
A Study of Efficacy of Cross-lingual Word Embeddings for Indian Languages. 347-348 - Nidhin Harilal, Rushil Shah, Saumitra Sharma, Vedanta Bhutani:
CARO: An Empathetic Health Conversational Chatbot for People with Major Depression. 349-350 - Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
A segmentation based similarity measure for time series data. 351-352 - Gunjan Singh, Sumit Bhatia, Raghava Mutharaju:
A Benchmark for OWL 2 DL Reasoners. 353 - Monika Jain, Paramita Mirza, Raghava Mutharaju:
Cardinality Extraction from Text for Ontology Learning. 354 - Rithwik Kukunuri, Nipun Batra, Hongning Wang:
Lessons and Insights from Super-Resolution of Energy Data. 355-356 - Siddhant Katyan, Shrutimoy Das:
Solving Eigenvalue problem as an optimization problem on Manifold. 357-358 - Jethva Utsav, Dhaiwat Kabaria, Ribhu Vajpeyi, Mohit Mina, Vivek Srivastava:
Stance Detection in Hindi-English Code-Mixed Data. 359-360 - Anshuman Yadav, Aditya Garg, Anup Aglawe, Ayush Agarwal, Vivek Srivastava:
Understanding the Political Inclination of WhatsApp Chats. 361-362 - Monisha Jegadeesan:
Adversarial Demotion of Bias in Natural Language Generation. 363-364 - Ritik Dutta, Varun Gohil, Atishay Jain:
Effect of Feature Hashing on Fair Classification. 365-366
Tutorials Track
- Abhijnan Chakraborty, Krishna P. Gummadi:
Fairness in Algorithmic Decision Making. 367-368 - Amit Sharma, Emre Kiciman:
Causal Inference and Counterfactual Reasoning. 369-370 - Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar:
Graph-based Deep Learning in Natural Language Processing. 371-372 - Sandya Mannarswamy, Shourya Roy, Saravanan Chidambaram:
Tutorial on Software Testing & Quality Assurance for Machine Learning Applications from research bench to real world. 373-374
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-07-17 20:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
