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ORCIDAditya Kulkarni
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2020 – today
- 2024
[j2]Aditya Kulkarni
, Michael Bortz, Karl-Heinz Küfer, Maximilian Kohns, Hans Hasse:
Hierarchical Multicriteria Optimization of Molecular Models of Water. J. Chem. Inf. Model. 64(13): 5077-5089 (2024)- [c16]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. COMSNETS 2024: 430-432 - [c15]Malhar Pandya, Aditya Kulkarni, Brian Harrington:
A Framework for Evaluating the Impact of Production Quality on Coding Demonstration Videos. ITiCSE (2) 2024 - [i10]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. CoRR abs/2401.08363 (2024) - [i9]Ruturaj Ghatage, Aditya Kulkarni, Rajlaxmi Patil, Sharvi Endait, Raviraj Joshi:
MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering. CoRR abs/2404.13364 (2024) - [i8]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks. CoRR abs/2407.20361 (2024) - [i7]Rajlaxmi Patil, Aditya Kulkarni, Ruturaj Ghatage, Sharvi Endait, Geetanjali Kale, Raviraj Joshi:
Automated Assessment of Multimodal Answer Sheets in the STEM domain. CoRR abs/2409.15749 (2024) - 2023
- [c14]Leon Liyang Zhang, Jiarui Lu, Joel Ruben Antony Moniz, Aditya Kulkarni, Dhivya Piraviperumal, Tien Dung Tran, Nick Tzou, Hong Yu:
STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants. EMNLP (Industry Track) 2023: 640-649 - [c13]Brian Harrington, Aditya Kulkarni, Zixiao Ren, Conroy Trinh, Raha Gharadaghi, Thezyrie Amarouche, Ansh Aneel, Anand Karki, Seemin Syed, David (Ming Xuan) Yue:
Finding and Categorizing COVID-19 Papers in CS Education. SIGCSE (2) 2023: 1342 - [c12]Aditya Kulkarni, Shahil Manishbhai Patel, Shivam Pradip Tirrnare, Vivek Balachandran, Tamal Das:
Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector. SOLI 2023: 1-7 - [i6]Aditya Kulkarni, Guruprasad Parasnis, Harish Balasubramanian, Vansh Jain, Anmol Chokshi, Reena Sonkusare:
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images. CoRR abs/2310.06080 (2023) - [i5]Leon Liyang Zhang, Jiarui Lu, Joel Ruben Antony Moniz, Aditya Kulkarni, Dhivya Piraviperumal, Tien Dung Tran, Nicholas Tzou, Hong Yu:
STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants. CoRR abs/2310.16990 (2023) - 2022
- [c11]Aditya Kulkarni, Vaishali Jabade, Aniket Patil:
Audio Recognition Using Deep Learning for Edge Devices. ICACDS (2) 2022: 186-198 - [i4]Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar:
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. CoRR abs/2201.06955 (2022) - [i3]Aditya Kulkarni, Min Kim, Joydeep Bhattacharya, Jayanta Bhattacharya:
Businesses in high-income zip codes saw sharper foot-traffic reductions during the COVID-19 pandemic. CoRR abs/2206.11987 (2022) - 2021
- [j1]Umesh Kathad, Aditya Kulkarni, Joseph Ryan McDermott, Jordan Wegner, Peter Carr, Neha Biyani, Rama Modali, Jean-Philippe Richard, Panna Sharma, Kishor Bhatia:
A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications. BMC Bioinform. 22(1): 102 (2021) - [c10]Aditya Kulkarni, Ayush Singh, Sachin Arun Waje, Sunil Shrirangrao Kashide, Seonil Brian Choi:
TestQuBE: A Testbench Enhancement Methodology for Universal Serial Interfaces in Complex SoCs. SoCC 2021: 106-111 - 2020
- [c9]Medha Wyawahare, Pranesh Kulkarni, Aditya Kulkarni, Ankit Lad, Jayant Majji, Aayush Mehta:
Agricultural Field Analysis Using Satellite Surface Reflectance Data and Machine Learning Technique. ICACDS 2020: 439-448 - [i2]Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. CoRR abs/2012.03093 (2020) - [i1]Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad:
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. CoRR abs/2012.03108 (2020)
2010 – 2019
- 2019
- [c8]Aditya Kulkarni, Iteesh V. A, Sahith S. R:
Modelling and Analysis of Lower Metal On-Chip Interconnects Using Physical Fabrication Parameters. iSES 2019: 350-354 - 2016
- [c7]Matthew Curtis-Maury, Vinay Devadas, Vania Fang, Aditya Kulkarni:
To Waffinity and Beyond: A Scalable Architecture for Incremental Parallelization of File System Code. OSDI 2016: 419-434 - 2015
- [c6]Swapnil Dambe, Gaurav Tawde, Aditya Kulkarni:
Statistical Heuristic Assessment a Tangible Way of Assessing Product or Software Current Usability State. IndiaHCI 2015: 91-94 - [c5]Swapnil Dambe, Kaushika Chheda, Aditya Kulkarni:
UX Industrialization: A Notion to Create Motorized UX Delivery Mechanism In The Rapidly Growing Digital Era. IndiaHCI 2015: 110-112 - 2014
- [c4]Wai Kay Leong, Aditya Kulkarni, Yin Xu, Ben Leong:
Unveiling the hidden dangers of public IP addresses in 4G/LTE cellular data networks. HotMobile 2014: 16:1-16:6 - 2013
- [c3]Wei Wang, Raj Joshi, Aditya Kulkarni, Wai Kay Leong, Ben Leong:
Feasibility study of mobile phone WiFi detection in aerial search and rescue operations. APSys 2013: 7:1-7:6 - [c2]Chengen Yang, Deepak Muckatira, Aditya Kulkarni, Chaitali Chakrabarti:
Data storage time sensitive ECC schemes for MLC NAND Flash memories. ICASSP 2013: 2513-2517 - 2010
- [c1]Aditya Kulkarni, Yu David Liu, Scott F. Smith:
Task types for pervasive atomicity. OOPSLA 2010: 671-690
Coauthor Index
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last updated on 2024-12-29 20:11 CET by the dblp team
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