• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 141 matches

• 2024
• 
  Thavavel Vaiyapuri, K. Shankar, Surendran Rajendran, Sachin Kumar, Vimal Gaur, Deepak Gupta, Meshal Alharbi:
  Automated cyberattack detection using optimal ensemble deep learning model. Trans. Emerg. Telecommun. Technol. 35(4) (2024)
• 
  S. Sathya, J. Senthil Murugan, S. Surendran, R. Sundar:
  Deep attention transformer nets for accurate analysis of oil spilled images to minimize pollution in the marine environment. J. Intell. Fuzzy Syst. 46(2): 3461-3473 (2024)
• 
  Youseef Alotaibi, Brindha Rajendran, Geetha Rani K., Surendran Rajendran:
  Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis. PeerJ Comput. Sci. 10: e1828 (2024)
• 
  Jordan Sturtz, Kushal Kalyan Devalampeta Surendranath, Maxwell Sam, Xingang Fu, Chanakya Dinesh Hingu, Rajab Challoo, Letu Qingge:
  Accelerating the neural network controller embedded implementation on FPGA with novel dropout techniques for a solar inverter. Pervasive Mob. Comput. 104: 101975 (2024)
• 
  Jaavid Aktar Husain, Raj Dabre, Aswanth M., Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan:
  RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. ACL (1) 2024: 15593-15615
• 
  Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
  How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL (Short Papers) 2024: 640-649
• 
  Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
  A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154
• 
  Umeshwarnath Surendranathan, Farzana Hoque, Aleksandar Milenkovic, Biswajit Ray:
  Technology Scaling Effects on SRAM Data Remanence. DRC 2024: 1-2
• 
  Ritwik Murali, Nitin Ravi, Amruthiyu Surendran:
  Augmenting Virtual Labs with Artificial Intelligence for Hybrid Learning. EDUCON 2024: 1-10
• 
  Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Ratish Puduppully, Anoop Kunchukuttan:
  RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. CoRR abs/2401.14280 (2024)
• 
  Jay P. Gala, Thanmay Jayakumar, Jaavid Aktar Husain, Aswanth Kumar M., Mohammed Safi Ur Rahman Khan, Diptesh Kanojia, Ratish Puduppully, Mitesh M. Khapra, Raj Dabre, V. Rudra Murthy, Anoop Kunchukuttan:
  Airavata: Introducing Hindi Instruction-tuned LLM. CoRR abs/2401.15006 (2024)
• 
  Wajid M. Shaikh, Rupali S. Jain, B. Surendranath Reddy, Bhagyashri S. Patil:
  Construction of Minimal Binary Linear Codes of dimension n+3. CoRR abs/2403.13350 (2024)
• 
  Wajid M. Shaikh, Rupali S. Jain, B. Surendranath Reddy, Bhagyashri S. Patil, Sahar M. A. Maqbol:
  A new approach to construct minimal linear codes over F₃. CoRR abs/2404.06768 (2024)
• 
  Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
  Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024)
• 
  Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
  How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? CoRR abs/2406.03893 (2024)
• 
  Nandini Mundra, Aditya Nanda Kishore, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
  An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. CoRR abs/2407.05841 (2024)
• 
  Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
  Scaling Granite Code Models to 128K Context. CoRR abs/2407.13739 (2024)
• 
  David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Abdulhamid Adebayo, Revital Eres, Mohammad Nassar, Hima Patel, S. Yousaf Shah, Constantin Adam, Petros Zerfos, Nirmit Desai, Daiki Tsuzuku, Takuya Goto, Michele Dolfi, Saptha Surendran, Paramesvaran Selvam, Sungeun An, Yuan Chi Chang, Dhiraj Joshi, Hajar Emami-Gohari, Xuan-Hong Dang, Yan Koyfman, Shahrokh Daijavad:
  Data-Prep-Kit: getting your data ready for LLM application development. CoRR abs/2409.18164 (2024)
• 2023
• 
  Surendran Rajendran, Sureshkumar Rajagopal, Tamilvizhi Thanarajan, K. Shankar, Sachin Kumar, Najah M. Alsubaie, Mohamad Khairi Ishak, Samih Mohemmed Mostafa:
  Automated Segmentation of Brain Tumor MRI Images Using Deep Learning. IEEE Access 11: 64758-64768 (2023)
• 
  Simi Surendran, Maneesha Vinodini Ramesh, Alberto Montresor, Martin J. Montag:
  Link Characterization and Edge-Centric Predictive Modeling in an Ocean Network. IEEE Access 11: 5031-5046 (2023)
• 
  Thavavel Vaiyapuri, K. Shankar, Surendran Rajendran, Sachin Kumar, Srijana Acharya, Hyunil Kim:
  Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT. IEEE Access 11: 55370-55379 (2023)
• 
  Ranjini Surendran, Ines Chihi, J. Anitha, D. Jude Hemanth:
  Indoor Scene Recognition: An Attention-Based Approach Using Feature Selection-Based Transfer Learning and Deep Liquid State Machine. Algorithms 16(9): 430 (2023)
• 
  Vidullan Surendran, Alan R. Wagner:
  That was not what I was aiming at! Differentiating human intent and outcome in a physically dynamic throwing task. Auton. Robots 47(2): 249-265 (2023)
• 
  Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic:
  Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning. Comput. Hum. Behav. 139: 107547 (2023)
• 
  Anand Panchbhai, Munuse C. Savash Ishanzadeh, Ahmed Sidali, Nadeen Solaiman, Smarana Pankanti, Radhakrishnan Kanagaraj, John J. Murphy, Kalpana Surendranath:
  A deep learning workflow for quantification of micronuclei in DNA damage studies in cultured cancer cell lines: A proof of principle investigation. Comput. Methods Programs Biomed. 232: 107447 (2023)
• 
  Kingsley A. Ogudo, R. Surendran, Osamah Ibrahim Khalaf:
  Optimal Artificial Intelligence Based Automated Skin Lesion Detection and Classification Model. Comput. Syst. Sci. Eng. 44(1): 693-707 (2023)
• 
  Riya Kumarasamy Santhanaraj, Surendran Rajendran, Carlos Andrés Tavera Romero, Sadish Sendil Murugaraj:
  Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time Disaster Management. Comput. Syst. Sci. Eng. 45(2): 1561-1576 (2023)
• 
  R. Surendran, Youseef Alotaibi, Ahmad F. Subahi:
  Lens-Oppositional Wild Geese Optimization Based Clustering Scheme for Wireless Sensor Networks Assists Real Time Disaster Management. Comput. Syst. Sci. Eng. 46(1): 835-851 (2023)
• 
  R. Surendran, Youseef Alotaibi, Ahmad F. Subahi:
  Wind Speed Prediction Using Chicken Swarm Optimization with Deep Learning Model. Comput. Syst. Sci. Eng. 46(3): 3371-3386 (2023)
• 
  Mladen Rakovic, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic:
  Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task. J. Comput. Assist. Learn. 39(3): 703-718 (2023)

skipping 111 more matches