Browsing Year-2020 by Title

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  • Hate speech diffusion in twitter social media 
    Makkar, Sakshi; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-07)
    Online hate speech, particularly over microblogging platforms like Twitter, has emerged as arguably the most severe issue of the past decade. Several countries have reported a steep rise in hate crimes infuriated by ...
  • Melody generation from lyrics using three branch conditional LSTM-GAN 
    Srivastava, Abhishek; Shah, Rajiv Ratn (Advisor); Yu, Yi (Advisor) (IIIT-Delhi, 2020-07)
    Automating the process of melody generation from lyrics has been a challenging research task in the field of artificial intelligence. Lately, however, music-related datasets have become available at large-scale, and with ...
  • An ontology design pattern recommendation system 
    Yasvi, Maleeha Arif; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-07)
    Ontologies evolve over time due to changes in the domain and the requirements of the application. Maintaining an ontology over time and keeping it up-to-date with respect to the changes in the domain and the requirements ...
  • A recommendation system involving human-in-the-loop to improve the quality of ontologies 
    Bhattacharyya, Pramit; Mutharaju, Vijaya Raghava (Advisor) (2020-07)
    Building an ontology is not only a time-consuming process, but it is also confusing, especially for beginners and the inexperienced. Although ontology developers can take the help of domain experts in building an ontology, ...
  • Representing dimensional model in MongoDB 
    Gupta, Neha; Prakash, Naveen (Advisor) (IIIT-Delhi, 2020-05)
    Conventional data warehouse systems are implemented either on a multi-dimensional database or a relational database. While the earlier supports MOLAP operations, the other supports ROLAP operations. In this work, we used ...
  • Semi-supervised learning via triplet network based active learning 
    Sundriyal, Divyanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Deep learning systems require a large amount of labelled training dataset. However large amount of labelled data is not available in many cases as it requires considerable human effort to label each sample correctly. In ...
  • Simultaneous detection of face attributes via multi-task learning 
    Sundriyal, Himanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Identifying face attributes is an ongoing problem of research which is used in bio-metrics, surveillance etc. In past, researchers have proposed methods which predict single facial attribute at a time. Real-time applications ...
  • Spatio-temporal-history model : a deep learning model to predict traffic speed using public transport data 
    Gola, Nikhil; Goyal, Vikram (Advisor) (IIIT-Delhi, 2020-06)
    Traffic speed prediction is one of the challenging task and has many applications. Existing solutions either use crowd-sourced data or sophisticated technologies to perform the task, and hence are costly and unreliable. ...
  • SWaP : meta analysis of static analyzer reports for accurate warning prioritization 
    Yadav, Khushbu; Purandare, Rahul (Advisor) (IIIT-Delhi, 2020-08)
    Java being designed in a flexible and user-friendly demeanour, makes it the most accepted programming language for the development of web applications and platforms. Due to the immense popularity, there comes the responsibility ...
  • Understanding the effect of positioning on mobile sensor data and its impact on applications 
    Saxena, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020)
    Most sensor based mobile phone applications like navigation systems, pothole detection, pedometers, traffic detection, etc. rely on the strict and stable positioning of the mobile phone at a particular place throughout ...
  • Upper and lower bounds of various centrality measures on planar and sparse graphs 
    Bhattacharya, Sudatta; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2020-08-03)
    In this thesis we address the problem of computing closeness centrality, Harmonic centrality and a few related centrality measures that operate on the shortest paths in a graph. We consider sparse graphs, especially ...

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