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ORCIDAshis Kumer Biswas
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2020 – today
- 2024
[c22]Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Kumer Biswas, Justin Barbern:
Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays. EDM 2024- [c21]Malgorzata Schwab
, Ashis Kumer Biswas:
Invertible Neural Networks for Trustworthy AI: Intelligent Synthetic Data Generation. ICMLT 2024: 101-107 - 2023
- [j12]Malgorzata Schwab, Ashis Kumer Biswas:
Invertible Neural Networks for Inference Integrity Verification. Res. Comput. Sci. 152(11): 59-70 (2023) - [c20]Malgorzata Schwab, Ashis Kumer Biswas:
Invertible Neural Networks for Trustworthy AI. ICTAI 2023: 480-485 - 2022
- [c19]Javier Pastorino, Joseph W. Director, Ashis Kumer Biswas, Todd J. Hawbaker:
Determination of optimal set of spatio-temporal features for predicting burn probability in the state of California, USA. ACM Southeast Regional Conference 2022: 151-158 - [c18]Javier Pastorino, Ashis Kumer Biswas:
Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification. BCB 2022: 36:1-36:8 - [c17]Matthew Michaelis, Jafar Haadi Jafarian, Ashis Kumer Biswas:
The Dangers of Money and Corporate Power Relating to Online Disinformation. MDM 2022: 470-475 - 2021
- [c16]Javier Pastorino, Ashis Kumer Biswas:
Data-Blind ML: Building privacy-aware machine learning models without direct data access. AIKE 2021: 95-98 - [c15]Thomas Bekman, Masoumeh Abolfathi, Jafar Haadi Jafarian, Ashis Kumer Biswas, Farnoush Banaei Kashani, Kuntal Das:
Practical Black Box Model Inversion Attacks Against Neural Nets. PKDD/ECML Workshops (2) 2021: 39-54 - [i1]Ashis Kumer Biswas, Geeta Verma, Justin Otto Barber:
Improving Ethical Outcomes with Machine-in-the-Loop: Broadening Human Understanding of Data Annotations. CoRR abs/2112.09738 (2021) - 2020
- [c14]Javier Pastorino, Ashis Kumer Biswas:
Hey ML, what can you do for me? AIKE 2020: 116-119
2010 – 2019
- 2019
- [j11]Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Jean X. Gao:
Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 2066-2077 (2019) - [c13]Javier Pastorino, Ashis Kumer Biswas:
TexAnASD: Text Analytics for ASD Risk Gene Predictions. BIBM 2019: 1350-1357 - [c12]Mingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao:
Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. ICMLA 2019: 1031-1038 - 2018
- [j10]Mubin Ul Haque, Zarrin Tasnim Sworna, Hafiz Md. Hasan Babu, Ashis Kumer Biswas:
A Fast FPGA-Based BCD Adder. Circuits Syst. Signal Process. 37(10): 4384-4408 (2018) - [c11]Madhuri Debnath, Praveen Kumar Tripathi, Ashis Kumer Biswas, Ramez Elmasri:
Preference Aware Travel Route Recommendation with Temporal Influence. LocalRec@SIGSPATIAL 2018: 2:1-2:9 - 2017
- [j9]Hafiz Md. Hasan Babu, Md. Solaiman Mia, Ashis Kumer Biswas:
Efficient Techniques for Fault Detection and Correction of Reversible Circuits. J. Electron. Test. 33(5): 591-605 (2017) - [j8]Dong-Chul Kim, Mingon Kang, Ashis Kumer Biswas, Chin-Rang Yang, Xiaoyu Wang, Jean X. Gao:
Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks. J. Bioinform. Comput. Biol. 15(2): 1750006:1-1750006:18 (2017) - [j7]Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao:
Multi-Block Bipartite Graph for Integrative Genomic Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1350-1358 (2017) - [c10]Ashis Kumer Biswas, Jean Gao:
LiDiAimc: LincRNA-disease associations through inductive matrix completion. BIBM 2017: 158-163 - [c9]Hafiz Md. Hasan Babu, Lafifa Jamal, Sayanton Vhaduri Dibbo, Ashis Kumer Biswas:
Area and Delay Efficient Design of a Quantum Bit String Comparator. ISVLSI 2017: 51-56 - [c8]Zarrin Tasnim Sworna, Mubin Ul Haque, Hafiz Md. Hasan Babu, Lafifa Jamal, Ashis Kumer Biswas:
An Efficient Design of an FPGA-Based Multiplier Using LUT Merging Theorem. ISVLSI 2017: 116-121 - 2016
- [j6]Zarrin Tasnim Sworna, Mubin Ul Haque, Nazma Tara, Hafiz Md. Hasan Babu, Ashis Kumer Biswas:
Low-power and area efficient binary coded decimal adder design using a look up table-based field programmable gate array. IET Circuits Devices Syst. 10(3): 163-172 (2016) - [j5]Ashis Kumer Biswas, Jean X. Gao:
PR2S2Clust: Patched RNA-seq read segments' structure-oriented clustering. J. Bioinform. Comput. Biol. 14(5): 1650027:1-1650027:25 (2016) - [c7]Ashis Kumer Biswas, Dong-Chul Kim, Mingon Kang, Jean X. Gao:
Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes. BIBM 2016: 334-339 - 2015
- [j4]Ashis Kumer Biswas, Mingon Kang, Dong-Chul Kim, Chris H. Q. Ding, Baoju Zhang, Xiaoyong Wu, Jean X. Gao:
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 9 (2015) - [c6]Dong-Chul Kim, Mingon Kang, Ashis Kumer Biswas, Chunyu Liu, Jean Gao:
Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders. BIBM 2015: 145-150 - [c5]Mingon Kang, Juyoung Park, Dong-Chul Kim, Ashis Kumer Biswas, Chunyu Liu, Jean Gao:
An integrative genomic study for multimodal genomic data using multi-block bipartite graph. BIBM 2015: 563-568 - 2014
- [c4]Ashis Kumer Biswas, Jean X. Gao, Baoju Zhang, Xiaoyong Wu:
NMF-Based LncRNA-Disease Association Inference and Bi-Clustering. BIBE 2014: 97-104 - 2013
- [j3]Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X. Gao:
Cnctdiscriminator: Coding and noncoding transcript Discriminator - an Excursion through Hypothesis Learning and Ensemble Learning Approaches. J. Bioinform. Comput. Biol. 11(5) (2013) - [c3]Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X. Gao:
QLZCClust: Quaternary lempel-Ziv complexity based clustering of the RNA-seq read block segments. BIBE 2013: 1-4 - 2012
- [c2]Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li:
Infobox suggestion for Wikipedia entities. CIKM 2012: 2307-2310 - 2010
- [j2]Ashis Kumer Biswas, Nasimul Noman, Abdur Rahman Sikder:
Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC Bioinform. 11: 273 (2010)
2000 – 2009
- 2008
- [j1]Ashis Kumer Biswas, Md. Mahmudul Hasan, Ahsan Raja Chowdhury, Hafiz Md. Hasan Babu:
Efficient approaches for designing reversible Binary Coded Decimal adders. Microelectron. J. 39(12): 1693-1703 (2008) - [c1]Ashis Kumer Biswas, Md. Mahmudul Hasan, Moshaddek Hasan, Ahsan Raja Chowdhury, Hafiz Md. Hasan Babu:
A Novel Approach to Design BCD Adder and Carry Skip BCD Adder. VLSI Design 2008: 566-571
Coauthor Index
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