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Md. Kowsher
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2020 – today
- 2024
- [c7]Md. Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud, Nusrat Jahan Prottasha, Prakash Bhat:
L-Tuning: Synchronized Label Tuning for Prompt and Prefix in LLMS. Tiny Papers @ ICLR 2024 - [c6]Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi, Mohammad Shamsul Arefin:
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. NLDB (2) 2024: 56-67 - [i6]Md. Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud, Nusrat Jahan Prottasha, Prakash Bhat:
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs. CoRR abs/2402.01643 (2024) - [i5]Md. Kowsher, Jia Xu:
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer. CoRR abs/2402.09573 (2024) - [i4]Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi, Mohammad Shamsul Arefin:
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. CoRR abs/2404.02402 (2024) - [i3]Md. Kowsher, Nusrat Jahan Prottasha, Prakash Bhat:
Propulsion: Steering LLM with Tiny Fine-Tuning. CoRR abs/2409.10927 (2024) - 2023
- [j6]Supriya Sarker, Mohammad Shamsul Arefin, Md. Kowsher, Touhid Bhuiyan, Pranab Kumar Dhar, Oh-Jin Kwon:
A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access 11: 744-769 (2023) - [j5]Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md. Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi:
Impact learning: A learning method from feature's impact and competition. J. Comput. Sci. 69: 102011 (2023) - [i2]Md. Kowsher, Mahbuba Yesmin Turaba, Tanvir Sajed, M. M. Mahabubur Rahman:
Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers. CoRR abs/2301.03093 (2023) - 2022
- [j4]Md. Billal Hossain, Mohammad Shamsul Arefin, Iqbal H. Sarker, Md. Kowsher, Pranab Kumar Dhar, Takeshi Koshiba:
CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. IEEE Access 10: 36299-36310 (2022) - [j3]Md. Kowsher, Abdullah As Sami, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba:
Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding. IEEE Access 10: 91855-91870 (2022) - [j2]Saydul Akbar Murad, Abu Jafar Md Muzahid, Zafril Rizal M. Azmi, Md Imdadul Hoque, Md. Kowsher:
A review on job scheduling technique in cloud computing and priority rule based intelligent framework. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2309-2331 (2022) - [j1]Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, Saydul Akbar Murad, Anupam Kumar Bairagi, Mehedi Masud, Mohammed Baz:
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. Sensors 22(11): 4157 (2022) - [c5]K. M. Aslam Uddin, Md. Kowsher, Kazi Sakib:
BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team. MIET (2) 2022: 256-270 - [i1]Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md. Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi:
Impact Learning: A Learning Method from Features Impact and Competition. CoRR abs/2211.02263 (2022) - 2021
- [c4]Md. Kowsher, Imran Hossen, Anik Tahabilder, Nusrat Jahan Prottasha, Md. Murad Hossain Sarker, Nazmul Ahasan, Md Imdadul Hoque:
SDSV: Angle Measurement for Supervised Classification. ACLING 2021: 216-223 - [c3]Md. Kowsher, Avishek Das, Md. Murad Hossain Sarker, Anik Tahabilder, Md. Zahidul Islam Sanjid:
SeqVectorizer: Sequence Representation in Vector Space. NISS (ACM) 2021: 24:1-24:6 - 2020
- [c2]Md. Kowsher, Anik Tahabilder, Saydul Akbar Murad:
Impact-Learning: A Robust Machine Learning Algorithm. ICCCM 2020: 9-13
2010 – 2019
- 2018
- [c1]Md. Kowsher, Farhana Sharmin Tithi, Tapasy Rabeya, Fahmida Afrin, Mohammad Nurul Huda:
Type 2 Diabetics Treatment and Medication Detection with Machine Learning Classifier Algorithm. IJCCI 2018: 519-531
Coauthor Index
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last updated on 2024-10-15 20:41 CEST by the dblp team
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