Items where Division is "Department of Computer Science & Engineering" and Year is 2019

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Number of items: 106.

A

Anand, Nikhil and Rao, M V Panduranga (2019) Agent Based Decision Support System for Healthcare Applications. Masters thesis, Indian institute of technology Hyderabad.

Anjana, Parwat Singh and Kumari, Sweta and Peri, Sathya and Rathor, Sachin and Somani, Archit (2019) An Efficient Framework for Optimistic Concurrent Execution of Smart Contracts. arXiv. pp. 1-10.

Anjana, Parwat Singh and Kumari, Sweta and Peri, Sathya and Rathor, Sachin and Somani, Archit (2019) Entitling concurrency to smart contracts using optimistic transactional memory. In: 20th International Conference on Distributed Computing and Networking, 4-7 January 2019, Bangalore, India.

Anjana, Parwat Singh and Kumari, Sweta and Peri, Sathya and Somani, Archit (2019) Achieving Greater Concurrency in Execution of Smart Contracts using Object Semantics. arXiv. pp. 1-22. (In Press)

Aravind, N R and Kalyanasundaram, Subrahmanyam and Kare, Anjeneya Swami (2019) H-Free Coloring on Graphs with Bounded Tree-Width. In: 5th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM, 14-16 February 2019, Kharagpur, India.

Atif, Touheed Anwar and Baswade, Anand M and Tamma, Bheemarjuna Reddy and Franklin, Antony (2019) A Complete Solution to LTE-U and Wi-Fi Hidden Terminal Problem. IEEE Transactions on Cognitive Communications and Networking. p. 1. ISSN 2372-2045

B

B, Thamilselvam and Kalyanasundaram, Subrahmanyam and Rao, M V Panduranga (2019) Coordinated Intelligent Traffic Lights using Uppaal Stratego. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Balasubramanian, Vineeth N (2019) IIT Hyderabad Researchers Develop Method To Understand AI Models. NDTV.

Balasubramanian, Vineeth N (2019) IIT Hyderabad Researchers Develop New Method To Understand Causality In Deep Learning. Analytics India Magazine.

Balasubramanian, Vineeth N and Chunilal Patel, Rajiv and Srivastava, Amit and et al, . (2019) MASON: A Model AgnoStic ObjectNess Framework. In: 15th European Conference on Computer Vision, ECCV, 8-14 September 2018, Germany.

Banerjee, Rohan and Rajanala, Sailaja and Singh, Manish (2019) Evaluating the Choice of Tags in CQA Sites. In: 24th International Conference on Database Systems for Advanced Applications, DASFAA, 22 - 25 April 2019, Chiang Mai, Thailand.

Basumatary, Swmdwn and Peri, Sathya (2019) Performance Evaluation and Benchmarking of Hyperledger Fabric. Masters thesis, Indian institute of technology Hyderabad.

Baswade, Anand M and Tamma, Bheemarjuna Reddy (2019) Employing Novel Coexistence Schemes in LTE-U/Wi-Fi for Efficient Utilization of Unlicensed Spectrum. PhD thesis, Indian institute of technology Hyderabad.

Bhattacharjee, Uddipta (2019) Capsule Network on Social Media Text: An Application to Automatic Detection of Clickbaits. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Bhattacharjee, Uddipta and P K, Srijith and Desarkar, Maunendra Sankar (2019) Term Specific TF-IDF Boosting for Detection of Rumours in Social Networks. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Bhattacharjee, Uddipta and Srijith, P K and Desarkar, Maunendra Sankar (2019) Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Bisht, Dikshant and Ch, Sobhan Babu (2019) Tax fraud detection using Clustering and Regression Analysis. Masters thesis, Indian institute of technology Hyderabad.

Buyakar, Tulja Vamshi Kiran and Tamma, Bheemarjuna Reddy (2019) Operational Aspects of Network Slicing in LTE and 5G Architectures. Masters thesis, Indian institute of technology Hyderabad.

C

Chatterjee, Bapi and Peri, Sathya and Sa, Muktikanta and Singhal, Nandini (2019) A simple and practical concurrent non-blocking unbounded graph with linearizable reachability qeries. In: 20th International Conference on Distributed Computing and Networking, 4-7 January 2019, Bangalore, India.

Chattopadhyay, Aditya and Manupriya, Piyushi and Balasubramanian, Vineeth N and et al, . (2019) Neural Network Attributions: A Causal Perspective. In: Proceedings of the 36th International Conference on Machine Learning (ICML), 9-15 June 2019, California, U S.

Chaudhary, Eti and Joshi, Saurabh (2019) Pinaka: Symbolic Execution Meets Incremental Solving. In: 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems conference series, TACAS 2019 held as part of the 22nd European Joint Conferences on Theory and Practice of Software, ETAPS, 6-11 April 2019, Prague, Czech Republic.

Chum, Lovish and Anbumani, Subramanian and Balasubramanian, Vineeth N and C V, Jawahar (2019) Beyond Supervised Learning: A Computer Vision Perspective. Journal of the Indian Institute of Science. ISSN 0970-4140

D

Das, Bedanta Kumar and Mohan, C Krishna (2019) Learning Representations for Image and Video Understanding. Masters thesis, Indian institute of technology Hyderabad.

Desai, Sai Vikas and Balasubramanian, Vineeth N and Fukatsu, Tokihiro and et al, . (2019) Automatic estimation of heading date of paddy rice using deep learning. Plant Methods, 15 (1). ISSN 1746-4811

Desai, Sai Vikas and Lagandula, Akshay Chandra and Balasubramanian, Vineeth N and et al, . (2019) An Adaptive Supervision Framework for Active Learning in Object Detection. arXiv.org.

Devaguptapu, Chaitanya and Ninad, Akolekar and Manuj M, Sharma and Balasubramanian, Vineeth N (2019) Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. arXiv. pp. 1-10.

Dewalkar, Swapnil Ashok and Desarkar, Maunendra Sankar (2019) Multi-Context Information for Word Representation Learning. In: Proceedings of the ACM Symposium on Document Engineering, 23 - 26 September 2019, Berlin, Germany.

Dewalkar, Swapnil Ashok and Desarkar, Maunendra Sankar (2019) Using Multi-Context Information for Word Representation Learning in Natural Language Processing. Masters thesis, Indian institute of technology Hyderabad.

Durbhakula, Murthy (2019) OS Scheduling Algorithms for Improving the Performance of Multithreaded Workloads. In: Computing Conference, 16-17 July 2019, London, United Kingdom.

Durbhakula, Murthy (2019) OS Scheduling Algorithms for Memory Intensive Workloads in Multi-socket Multi-core Servers. In: Computing Conference, 16-17 July 2019, London, United Kingdom.

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Gampa, Phanideep and Kondamudi, Sairam Satwik and Kailasam, Lakshmanan (2019) A Tractable Algorithm for Finite-Horizon Continuous Reinforcement Learning. In: 2nd International Conference on Intelligent Autonomous Systems, ICoIAS, 28 February-2 March 2019, Singapore.

Garg, Gaurav and Reddy, Venkatarami and Franklin, Antony and Tamma, Bheemarjuna Reddy (2019) DAVIS: A Delay-Aware VNF Selection Algorithm for Service Function Chaining. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Gayatri, P K and Upadrasta, Ramakrishna (2019) GPU-Based Multi-Level Parallelization for Hines Solver and Some Related Problems. Masters thesis, Indian institute of technology Hyderabad.

Giannone, F and Kondepu, K and Gupta, Himank and Civerchia, F and Castoldi, P and Franklin, Antony and Valcarenghi, L (2019) Impact of Virtualisation Technologies on Virtualised RAN Midhaul Latency Budget: A Quantitative Experimental Evaluation. IEEE Communications Letters. ISSN 1089-7798

Gupta, Himank and Franklin, Antony (2019) A Flexible Split Based 5G C-RAN to Minimize Energy Consumption & Handovers. Masters thesis, Indian institute of technology Hyderabad.

Gupta, Himank and Sharma, Mehul and Franklin, Antony and Tamma, Bheemarjuna Reddy (2019) Apt-RAN: A Flexible Split Based 5G RAN to Minimize Energy Consumption and Handovers. IEEE Transactions on Network and Service Management. p. 1. ISSN 2373-7379

I

Ikenmeyer, Christian and Komarath, Balagopal and Sreenivasaiah, Karteek and et al, . (2019) On the Complexity of Hazard-free Circuits. Journal of the ACM, 66 (4). pp. 1-20. ISSN 00045411

Inukonda, Maruthi S and Mittal, Sparsh and Kottapalli, Sai Harsha (2019) A Solution Architecture of Bare-metal As A Service Cloud using Open-source Tools. Research Gate.

J

Jain, Shalini and Borah, Utpal and Kumar, Prateek and Sinha, Vaibhav B and Purini, Suresh and Upadrasta, Ramakrishna (2019) An analysis of executable size reduction by LLVM passes. CSI Transactions on ICT. pp. 1-6. ISSN 2277-9078

Jamal, Mohd Saalim and Kataoka, Kotaro (2019) Optimizing Peer Selection for Performance Enhancement of Bitcoin Peer-to-Peer Network. Masters thesis, Indian institute of technology Hyderabad.

Jha, Nandan Kumar and Mittal, Sparsh and Mattela, Govardhan (2019) The Ramifications of Making Deep Neural Networks Compact. In: 32nd International Conference on VLSI Design, VLSID, 5-9 January 2019, New Delhi, India.

John, Trupthi Ann and Dua, Isha and Balasubramanian, Vineeth N and C V, Jawahar (2019) Low-Cost Transfer Learning of Face Tasks. arXiv. pp. 1-13. (Submitted)

Joseph, J and Pal, Arghya and Rajanala, Sailaja and Balasubramanian, Vineeth N (2019) C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis. In: IEEE Winter Conference on Applications of Computer Vision, WACV, 7-11 January 2019, Waikoloa Village, United States.

Joseph, K J and Vamsi, Teja R and Singh, Krishnakant and Balasubramanian, Vineeth N (2019) Submodular Batch Selection for Training Deep Neural Networks. arXiv.org.

Joshi, Kalpana D and Kataoka, Kotaro (2019) PRIME-Q: Privacy Aware End-to-End QoS Framework in Multi-Domain SDN. In: IEEE Conference on Network Softwarization (NetSoft), 24-28 June 2019, Paris, France.

Joshi, Saurabh and Kumar, Prateek and Rao, Sukrut and et al, . (2019) Open-WBO-Inc: Approximation Strategies for Incomplete Weighted MaxSAT. Journal on Satisfiability, Boolean Modeling, and Computation, 11. pp. 73-97. ISSN 1574-0617

Juyal, Chirag and Kulkarni, Sandeep and Kumari, Sweta and Peri, Sathya and Somani, Archit (2019) Obtaining Progress Guarantee and GreaterConcurrency in Multi-Version Object Semantics. arXiv. pp. 1-9. (In Press)

Juyal, Chirag and Kumari, Sweta and Peri, Sathya and Somani, Archit et. al (2019) An Efficient Approach to Achieve Compositionality using Optimized Multi-Version Object Based Transactional Systems. arXiv.

K

Kala, S M and Sathya, Vanlin and Reddy, M P K and Lala, Betty and Tamma, Bheemarjuna Reddy (2019) A socio-inspired CALM approach to channel assignment performance prediction and WMN capacity estimation. Journal of Network and Computer Applications, 125. pp. 42-66. ISSN 1084-8045

Kala, Srikant Manas and Sathya, Vanlin and Magdum, Suhel Sajjan and Buyakar, Tulja Vamshi Kiran and Lokhandwala, Hatim and Tamma, Bheemarjuna Reddy (2019) Designing infrastructure-less disaster networks by leveraging the AllJoyn framework. In: 20th International Conference on Distributed Computing and Networking, 4-7 January 2019, Bangalore, India.

Kala, Srikant Manas and Seah, Winston K G and Vanlin Sathya, R and Lala, Betty (2019) Statistical Relationship between Interference Estimates and Network Capacity. arXiv.

Kasarla, Tejaswi and Nagendar, G and Hegde, Guruprasad M and Balasubramanian, Vineeth N and Jawahar, C V (2019) Region-based active learning for efficient labeling in semantic segmentation. In: 19th IEEE Winter Conference on Applications of Computer Vision, WACV, 7-11 January 2019, Waikoloa Village; United States.

Kiran Buyakar, Tulja Vamshi and Tamma, Bheemarjuna Reddy and Franklin, Antony and et al, . (2019) Prototyping and Load Balancing the Service Based Architecture of 5G Core Using NFV. In: IEEE Conference on Network Softwarization (NetSoft), 24-28 June 2019, Paris, France.

Kodali, Siva Sairam Prasad and Podili, Prashanth and Kataoka, Kotaro (2019) Tagging based Packet Loss Detection and Recovery of IP Multicast in SDN. In: Proceedings of the Asian Internet Engineering Conference, 07-09 August 2019, Phuket, Thailand.

Konjengbam, Anand and Kumar, Nagendra and Singh, Manish (2019) Unsupervised tag recommendation for popular and cold products. Journal of Intelligent Information Systems. ISSN 0925-9902

Kumar, Ayush and Jandial, Surgan and Chopra, Ayush and et al, . (2019) Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. In: The IEEE International Conference on Computer Vision (ICCV), 2019.

Kumar, Nagendra and G, Srikanth and Mudda, Karthik Yadav and Trishal, Gayam and Konjengbam, Anand and Singh, Manish (2019) Where to Post: Routing Questions to Right Community in Community Question Answering Systems. In: 19 Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 03 - 05 January 2019, Kolkata, India.

Kumar, Nagendra and Singh, Manish (2019) Information Diffusion and Summarization in Social Networks. PhD thesis, Indian institute of technology Hyderabad.

L

Lagandula, Akshay Chandra and Desai, Sai Vikas and Balasubramanian, Vineeth N and et al, . (2019) Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. arXiv.org.

Limaye, Nutan and Sreenivasaiah, Karteek and Srinivasan, Srikanth et. al. (2019) A fixed-depth size-hierarchy theorem for AC0[⊕] via the coin problem. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 23 - 26 June 2019, Phoenix, AZ, USA.

M

Madisetty, Sreekanth and Desarkar, Maunendra Sankar (2019) Identification of Relevant Hashtags for Planned Events Using Learning to Rank. In: 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K, 1-3 November 2017, Funchal, Portugal.

Magdum, Suhel Sajjan and Sharma, Mehul and Franklin, Antony and Tamma, Bheemarjuna Reddy et. al. (2019) Evaluating DTN Routing Schemes for Application in Vehicular Networks. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Majumdarz, Chitradeep and Lopez-Benitez, Miguel and Patel, Aaqib Ashfaq and Merchant, S. N (2019) Packet Size Optimization for Topology Aware Cognitive Radio Sensor Networks. In: 16th IEEE Annual Consumer Communications and Networking Conference, CCNC, 11-14 January 2019, Las Vegas, United States.

Mamgain, Nehal and Balasubramanian, Vineeth N (2019) Zero-Shot Object Detection. Masters thesis, Indian institute of technology Hyderabad.

Mangla, Puneet and Balasubramanian, Vineeth N and Singh, Mayank and et al, . (2019) Charting the Right Manifold: Manifold Mixup for Few-shot Learning. arXiv.org.

Mangla, Puneet and Balasubramanian, Vineeth N and Varshney, Sakshi and et al, . (2019) AdvGAN++ : Harnessing latent layers for adversary generation. arXiv.org.

Martins, Ruben and Joshi, Saurabh and Manquinho, Vasco and et al, . (2019) Reflections on "Incremental Cardinality Constraints for MaxSAT". arXiv.org.

Mehta, Priya and Mathews, Jithin and Kasi Visweswara Rao, S V and Kumar, K Sandeep and Suryamukhi, K and Sobhan Babu, Ch (2019) Identifying Malicious Dealers in Goods and Services Tax. In: IEEE 4th International Conference on Big Data Analytics (ICBDA), 15-18 March 2019, Suzhou, China.

Mehta, Priya and Mathews, Jithin and Kumar, Sandeep and Ch, Sobhan Babu and et al, . (2019) Big Data Analytics for Tax Administration. In: International Conference on Electronic Government and the Information Systems Perspective EGOVIS, 26-29 August 2019, Linz, Austria.

Mehta, Priya and Mathews, Jithin and Kumar, Sandeep et. al. (2019) Big Data Analytics for Nabbing Fraudulent Transactions in Taxation System. In: International Conference on Big Data, 25-30 June 2019, San Diego, CA, USA.

Mittal, Sparsh (2019) A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform. Journal of Systems Architecture. ISSN 1383-7621 (In Press)

Mittal, Sparsh (2019) A survey on applications and architectural-optimizations of Micron’s Automata Processor. Journal of Systems Architecture, 98. pp. 135-164. ISSN 13837621

Mittal, Sparsh and Mattela, Venkat (2019) A survey of techniques for improving efficiency of mobile web browsing. Concurrency and Computation: Practice and Experience. ISSN 1532-0626 (In Press)

Mittal, Sparsh and Vaishay, Shraiysh (2019) A Survey of Techniques for Optimizing Deep Learning on GPUs. Journal of Systems Architecture. p. 101635. ISSN 13837621

N

Nathani, Deepak and Chauhan, Jatin and Sharma, Charu and Kaul, Manohar (2019) Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. arXiv. pp. 1-10. (Submitted)

P

Pal, Arghya and Balasubramanian, Vineeth N (2019) Zero-Shot Task Transfer. arXiv. pp. 1-18.

Pandey, Digvijay and Aravind, N R (2019) Queue Layout of Planar 3−Tree. Masters thesis, Indian institute of technology Hyderabad.

Pasca, Thomas Valerrian and Tamma, Bheemarjuna Reddy (2019) Traffic Steering in Radio Level Integration of LTE and Wi-Fi Networks. PhD thesis, Indian institute of technology Hyderabad.

Patidar, Tarun and Tamma, Bheemarjuna Reddy (2019) Enhanced Live Video Streaming over Integrated LTE Wi-Fi Architecture. Masters thesis, Indian institute of technology Hyderabad.

Patwardhan, Abhishek A and Upadrasta, Ramakrishna (2019) Some Efficient Algorithms for the Tightest UTVPI Polyhedral Over-Approximation Problem. In: 9th International Workshop on Polyhedral Compilation Techniques, 21-23 January, 2019, Spain.

Peri, Sathya and Reddy, Chandra Kiran and Sa, Muktikanta (2019) An Efficient Practical Concurrent Wait-Free Unbounded Graph. In: 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS, 10-12 August 2019, Zhangjiajie, China.

Peri, Sathya and Singh, Ajay and Somani, Archit (2019) Efficient Means of Achieving Composability Using Object Based Semantics in Transactional Memory Systems. In: Networked Systems. Lecture Notes in Computer Science, 11028 (11028). Springer, Cham, pp. 157-174. ISBN 9783030055288

Pote, Yash and Joshi, Saurabh and Meel, Kuldeep S (2019) Phase Transition Behavior of Cardinality and XOR Constraints. International Joint Conferences on Artificial Intelligence.

Prakash, Prafull and Murti, Chaitanya and Jagarlapudi, Sakethanath and et al, . (2019) Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. In: 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI, 26-30 August 2019, Yanuka Island, Fiji.

R

Ramesh, Yenda and Anand, Nikhil and Rao, M V Panduranga (2019) Statistical Model Checking for Dynamical Processes on Networks: A Healthcare Application. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Rangisetti, Anil Kumar and Tamma, Bheemarjuna Reddy (2019) Interference and QoS aware cell switch-off strategy for software defined LTE HetNets. Journal of Network and Computer Applications, 125. pp. 115-129. ISSN 1084-8045

Reddy, Venkatarami and Tamma, Bheemarjuna Reddy and Franklin, Antony (2019) Interference Aware Network Function Selection Algorithm for Next Generation Networks. In: IEEE Conference on Network Softwarization (NetSoft), 24-28 June 2019, Paris, France.

Roy, Smita and Mondal, Samrat and Ekbal, Asif and Desarkar, Maunendra Sankar (2019) Dispersion Ratio based Decision Tree Model for Classification. Expert Systems with Applications, 116. pp. 1-9. ISSN 0957-4174

S

S, Venkata Keerthy and Desarkar, Maunendra Sankar and Upadrasta, Ramakrishna and et al, . (2019) IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. arXiv.org.

Sa, Muktikanta (2019) Short Paper: Maintenance of Strongly Connected Component in Shared-Memory Graph. In: International Conference on Networked Systems, NETYS, 9-11 May 2018, Morocco.

Saini, Rajat and Mittal, Sparsh (2019) Employing Attention Mechanism for Compute-efficient Design of Compact DNNs. Masters thesis, Indian institute of technology Hyderabad.

Sankar, Adepu Ravi and Balasubramanian, Vineeth N (2019) Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. In: Proceedings of The 7th Asian Conference on Machine Learning, 20-22 November 2015, Hong Kong.

Santhappan, Thomas Valerrian Pasca and Gutpa, Himank and Tamma, Bheemarjuna Reddy and Franklin, Antony et. al. (2019) LTE–Wi-Fi Radio Level Integration at RLC Layer: A Demo of LWIR. In: 11th International Conference on Communication Systems and Networks, COMSNETS 2019, 7-11 January 2019, Bengaluru,India.

Shrivastava, Kakul and Inukonda, Maruthi S and Mittal, Sparsh (2019) Hardware-Software Stack for an RC car for testing autonomous driving algorithms. In: Hardware-Software Stack for an RC car for testing autonomous driving algorithms. UNSPECIFIED. (In Press)

Singh, D and C, Krishna Mohan (2019) SCALABALE AND DISTRIBUTED METHODS FOR LARGE-SCALE VISUAL COMPUTING. PhD thesis, Indian institute of technology Hyderabad.

Sinha, Abhishek and Balasubramanian, Vineeth N and Machiraju, Harshitha et. al. (2019) Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. arXiv.

Sinha, Uttaran and Joshi, Saurabh (2019) Defending Deep Neural Networks against Structural Pertubations. Masters thesis, Indian institute of technology Hyderabad.

T

Tamma, Bheemarjuna Reddy and Pasca, Thomas Valerrian and Baswade, Anand M (2019) On convergence and coexistence of LTE and Wi-Fi networks. CSI Transactions on ICT. ISSN 2277-9078

Tondulkar, Rohan and P K, Srijith (2019) Rumour Stance Classification using Discriminative Modeling of Text in Hawkes Process. Masters thesis, Indian institute of technology Hyderabad.

Toshniwal, Bhavesh and Joshi, Kalpana D and Shrivastava, Pragati and Kataoka, Kotaro (2019) BEAM: BEhavior-Based Access Control Mechanism for SDN Applications. In: 28th International Conference on Computer Communications and Networks, ICCCN, 29 July 2019 - 1 August 2019, Valencia, Spain.

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Utkoor, Rahul and Upadrasta, Ramakrishna (2019) A Loop-level Analysis and Optimal Sub-sequence Mining. Masters thesis, Indian institute of technology Hyderabad.

V

Vaidya, Hrishikesh and Badrinaaraayanan, Akilesh and Patwardhan, Abhishek A and Upadrasta, Ramakrishna (2019) When Polyhedral Optimizations Meet Deep Learning Kernels. In: IEEE HiPC.

Varanasi, Vinayaka Shashank and Chilukuri, Shanti (2019) Adaptive Differentiated Edge Caching with Machine Learning for V2X Communication. In: 2019 11th International Conference on Communication Systems and Networks, COMSNETS, 9 May 2019, Bengaluru, India.

Varshaneya, V and Balasubramanian, Vineeth N and Balasubramanian, S (2019) Teaching GANs to Sketch in Vector Format. arXiv.

Vishwakarma, Ayushi and Singh, Manish (2019) Predicting Topic Evolution in CQA Sites using Temporal Analysis. Masters thesis, Indian institute of technology Hyderabad.

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Wang, Haonan et. al. and Ibrahim, Mohamed and Mittal, Sparsh and Jog, Adwait (2019) Address-stride assisted approximate load value prediction in GPUs. In: 33rd ACM International Conference on Supercomputing, ICS, 26 June 2019, Phoenix, United States.

This list was generated on Mon Nov 18 17:32:28 2019 IST.