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Browsing Computer Science and Engineering by Title

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  • Collective aspects of privacy in online social networks 
    Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-11-16)
    In online social networks, users may choose to keep a lot of important information in the private domain. Users may choose to hide their location, gender, interests, and affiliations. With usage of social networks and ...
  • A combinatorial algorithm for fault tolerant k-median clustering on a line metric 
    Anderson, Nihesh; Arora, Kushagra; Raman, Rajiv (Advisor); Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a metric space X, a set of clients C X, and a set of facilities F X, such that X = F S C. the fault-tolerant k-median problem (FTM) requires to open k facilities in F so as to minimize the sum of distances from each ...
  • Communication network discovery and leader selection strategies for multi-robot deployments 
    Lahiri, Shayan; Sujit, PB (Advisor) (2015-12-02)
    Robots have been successfully deployed during natural disasters to perform remote search and rescue missions. These robots are tasked under human operator supervision. For remote operations, network connectivity is ...
  • Community detection in networks 
    Agrawal, Chaitanya; Das, Syamantak (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2019-11-15)
    We are trying to devise a community detection algorithm for networks through modularity maximization. In this semester we further studied and understood the modularity function. We have explored semi-supervised active ...
  • A comparative study of correlation measures for the application of anomaly detection in data streams 
    Khatri, Sagar; Goyal, Vikram (Advisor) (2017)
    We study two measures namely maximal information coefficient (MIC) and distance correlation (dCor) for the application anomaly detection. MIC is based on the concept of information theory and measures the mutual information ...
  • Comparing 4G internet speeds provided by different ISPs 
    Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)
    With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
  • A comprehensive understanding of code-mixed language semantics using hierarchical transformer 
    S, Tharun; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learn- ing the semantics and morphology of code-mixed language ...
  • Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation 
    Raj, Yash; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
  • Computer assisted telephony system 
    Rana, Anurag; Singh, Pushpendra (Advisor) (2015-12-03)
    Telephones have high reach both in developed and developing countries that have made it a preferred tool for collecting and disseminating information. Voice based information collection systems o ffers data collection ...
  • Computer vision applications in wildlife conservation 
    Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...
  • Confidentiality protection in crowdsourcing 
    Saxena, Simran; Kumaraguru, Ponnurangam (Advisor); Dubey, Alpana (Advisor); Buduru, Arun Balaji (Advisor); Sachdeva, Niharika (Advisor) (IIIT-Delhi, 2018-04)
    Crowdsourcing is the practice of getting information or input for a task or project from a number of people by floating out the task at hand to a pool of people who are usually not full-time employees. Use of Crowdsourcing ...
  • Consumer privacy and targeted pricing with stochastic valuations 
    Mishra, Shreemoy (2014-07-16)
    I study the market for consumer information. Firms cannot commit to privacy, so buyers anticipate disclosure of purchase history for targeted pricing. In the literature, strategic rejections of informative o ers make ...
  • Content moderation across multiple platforms with capsule networks and co-training 
    Agarwal, Vani; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-05)
    Social media systems provide a platform for users to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. ...
  • Content quality in web 2.0 services : analysis, detection, systems and enhancement 
    Correa, Denzil; Sureka, Ashish (Advisor) (2014-12-24)
    There has been a proliferation of Web 2.0 sites on the Internet. Contemporary Web 2.0 sites like Facebook and Twitter are primarily driven by user generated content (UGC). On the other hand, the volume of content by such ...
  • Context-aware face recognition 
    Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...
  • Context-aware IVR : challenges and opportunities 
    Asthana, Siddhartha; Singh, Pushpendra; Singh, Amarjeet; Naik, Vinayak (2012-03-26)
    Voice based telecommunication services are emerging as most appropriate medium for information dissemination in developing regions, as they overcome prevalent low literacy rate and are more reachable than any other ...
  • Contextual feature based one-class classifier approach for detecting video response spam on YouTube 
    Chaudhary, Vidushi; Sureka, Ashish (Advisor) (2013-03-26)
    YouTube is one of the largest video sharing websites (with social networking features) on the Internet. The immense popularity of YouTube, anonymity and low publication barrier has resulted in several forms of misuse and ...
  • Contributions in computer assisted diagnosis : breast cancer and autoimmune diseases 
    Agrawal, Praful; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2014-05-19)
    With the advent of research, it has been established that many leading diseases among women, such as breast cancer, cervical cancer, and autoimmune diseases, can be prevented if diagnosed at initial stage. This research ...
  • Corpora evaluation and system bias detection in multi document summarization 
    Dey, Alvin; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06)
    Multi-document summarization (MDS) is the task of reflecting key points from any set of documents into a concise text paragraph. In the past, it has been used to aggregate news, tweets, product reviews, etc. from various ...
  • Coupled deep learning for multi-modal retrieval 
    Keswani, Sumit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04)
    In past few years, cross-modal information retrieval has drawn much attention due to significant growth in the multimodal data. It takes one type of data as the query to retrieve relevant data of multiple modalities. For ...

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