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Publication search results
found 885 matches
- 2024
- Jayshri S. Kulkarni, Arpan Desai, Heng-Tung Hsu, Brian A. Garner, Yang Li, Chow-Yen-Desmond Sim, Vigneswaran Dhasarathan:
Transparent and Flexible MIMO Antenna Technologies for 5G Applications - Transforming 5G with Transparent & Flexible MIMO Antennas. Springer 2024, ISBN 978-3-031-42485-4, pp. 1-204 - Dhananjaya G. M, R. H. Goudar, Anjanabhargavi Kulkarni, Vijayalaxmi N. Rathod, Geetabai S. Hukkeri:
A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review. IEEE Access 12: 34019-34041 (2024) - Vijayalaxmi N. Rathod, R. H. Goudar, Anjanabhargavi Kulkarni, Dhananjaya G. M, Geetabai S. Hukkeri:
A Survey on E-Learning Recommendation Systems for Autistic People. IEEE Access 12: 11723-11732 (2024) - Apoorva Vikrant Kulkarni, Shaji Joseph, Kanchan Pranay Patil:
Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations. Int. J. Inf. Manag. Data Insights 4(2): 100250 (2024) - Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon:
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer. BMC Medical Informatics Decis. Mak. 24(1): 92 (2024) - Pushpa B. Patil, Dakshayani Ijeri, Shashikiran A. Kulkarni, Sayed Salman Burkaposh, Rani Bhuyyar, Vijayalaxmi Gugawad:
Comparative study of machine learning algorithms for Kannada twitter sentimental analysis. Multim. Tools Appl. 83(15): 45693-45713 (2024) - Achyut Shankar, Perumal Pandiaraja, Murali Subramanian, Naresh Ramu, Deepa Natesan, Vaishali R. Kulkarni, Thompson Stephan:
An intelligent recommendation system in e-commerce using ensemble learning. Multim. Tools Appl. 83(16): 48521-48537 (2024) - Deepali Kulkarni, Abhijit Ghosh, Amey Girdhari, Shaomin Liu, L. Alexander Vance, Melissa Unruh, Joydeep Sarkar:
Enhancing pre-trained contextual embeddings with triplet loss as an effective fine-tuning method for extracting clinical features from electronic health record derived mental health clinical notes. Nat. Lang. Process. J. 6: 100045 (2024) - Jethro C. C. Kwong, Jeremy Wu, Shamir Malik, Adree Khondker, Naveen Gupta, Nicole Bodnariuc, Krishnateja Narayana, Mikail Malik, Theodorus H. van der Kwast, Alistair E. W. Johnson, Alexandre R. Zlotta, Girish S. Kulkarni:
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI. npj Digit. Medicine 7(1) (2024) - Padmalata Nistala, Asha Rajbhoj, Vinay Kulkarni, Sapphire Noronha, Ankit Joshi:
An industrial experience report on model-based, AI-enabled proposal development for an RFP/RFI. Sci. Comput. Program. 233: 103058 (2024) - Zengxiang Lei, Jiawei Xue, Xiaowei Chen, Xinwu Qian, Charitha Saumya, Mingyi He, Stanislav Sobolevsky, Milind Kulkarni, Satish V. Ukkusuri:
METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. Simul. Model. Pract. Theory 132: 102898 (2024) - Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal:
Toward Sustainable Data Practices: Integrating Open Data With SDG-Based Data Lake Frameworks. IEEE Technol. Soc. Mag. 43(1): 62-69 (2024) - Vignesh Thangaraj, Srie Vidhya Janani Elangeswaran, Bhuvaneshwari Subburaman, Jayshri S. Kulkarni:
Modeling of a high gain two stage pHEMT LNA using ANN with Bayesian regularization algorithm. Wirel. Networks 30(4): 2329-2342 (2024) - Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS 2024: 2746-2754 - Cass Scheirer, Vera Zhong, Sakshi Kulkarni, Mashiyat Zaman, Kayla DesPortes, Francisco Enrique Vicente Castro:
touchBase: A Tangible Programming Language for Physical Computing. Creativity & Cognition 2024: 464-469 - Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi:
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts 2024: 56:1-56:12 - Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Chaitanyashareef Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich:
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. CHI 2024: 643:1-643:21 - Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. COMSNETS 2024: 430-432 - Anirudha Kulkarni, Abhinav Kumar, Rajeev Shorey, Rohit Verma:
Towards an Efficient Federated Learning Framework with Selective Aggregation. COMSNETS 2024: 623-627 - Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz:
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. EACL (2) 2024: 454-468 - Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali:
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. FAccT 2024: 1926-1939 - Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. ICAPS 2024: 532-540 - Durga Keerthi Mandarapu, Vani Nagarajan, Artem Pelenitsyn, Milind Kulkarni:
Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing. ICS 2024: 14-25 - Asha Rajbhoj, Akanksha Somase, Piyush Kulkarni, Vinay Kulkarni:
Accelerating Software Development Using Generative AI: ChatGPT Case Study. ISEC 2024: 5:1-5:11 - Yipeng Wang, Mengtian Yang, Chieh-Pu Lo, Jaydeep P. Kulkarni:
30.6 Vecim: A 289.13GOPS/W RISC-V Vector Co-Processor with Compute-in-Memory Vector Register File for Efficient High-Performance Computing. ISSCC 2024: 492-494 - Chaitanya S. Koparkar, Vidush Singhal, Aditya Gupta, Mike Rainey, Michael Vollmer, Artem Pelenitsyn, Sam Tobin-Hochstadt, Milind Kulkarni, Ryan R. Newton:
Garbage Collection for Mostly Serialized Heaps. ISMM 2024: 1-14 - Christina Jayakumaran, Sengole Merlin, Vaishali R. Kulkarni, Thompson Stephan, Punitha Stephan:
Entity Embedding in Artificial Neural Networks: A Novel Approach to Sales Data Analysis and Forecasting. SCI 2024: 67-76 - Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan:
SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems. SEAMS@ICSE 2024: 143-149 - Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala:
C2AIR: Consolidated Compact Aerial Image Haze Removal. WACV 2024: 738-747 - Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu:
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. WACV 2024: 1893-1902
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