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ORCIDAritra Chowdhury
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- affiliation: Rensselaer Polytechnic Institute, Department of Computer Science, USA
- affiliation: Jadavpur University, Kolkata, Department of Electronics and Telecommunication Engineering, India
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2020 – today
- 2024
[c23]Aritra Chowdhury, Venkatesh G. Kadlimatti:
Thermal Shutdown implementation in BLE microcontroller for TPMS and Industrial application. ICEIC 2024: 1-3- 2021
- [c22]Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Peter H. Tu:
Emergent Symbolic Language Based Deep Medical Image Classification. ISBI 2021: 689-692 - [c21]Aritra Chowdhury, Sujoy K. Biswas, Simone Bianco:
Active deep learning reduces annotation burden in automatic cell segmentation. Medical Imaging: Digital Pathology 2021 - [i10]Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani:
Adversarial Attacks with Time-Scale Representations. CoRR abs/2107.12473 (2021) - 2020
- [j5]James R. Kubricht, Alberto Santamaría-Pang, Chinmaya Devaraj, Aritra Chowdhury, Peter H. Tu:
Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery. Int. J. Semantic Comput. 14(3): 357-373 (2020) - [c20]Chinmaya Devaraj, Aritra Chowdhury, Arpit Jain, James R. Kubricht, Peter H. Tu, Alberto Santamaría-Pang:
From Symbols to Signals: Symbolic Variational Autoencoders. ICASSP 2020: 3317-3321 - [c19]Aritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang:
Escell: Emergent Symbolic Cellular Language. ISBI 2020: 1604-1607 - [c18]Alberto Santamaría-Pang, James Kubricht, Aritra Chowdhury, Chitresh Bhushan, Peter H. Tu:
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability. MICCAI (1) 2020: 326-334 - [i9]Alberto Santamaría-Pang, James Kubricht, Aritra Chowdhury, Chitresh Bhushan, Peter H. Tu:
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability. CoRR abs/2007.09448 (2020) - [i8]Aritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang:
ESCELL: Emergent Symbolic Cellular Language. CoRR abs/2007.09469 (2020) - [i7]Alberto Santamaría-Pang, Anup Sood, Dan E. Meyer, Aritra Chowdhury, Fiona Ginty:
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform. CoRR abs/2007.09471 (2020) - [i6]Wufei Ma, Elizabeth Kautz, Arun Baskaran, Aritra Chowdhury, Vineet Joshi, Bülent Yener, Daniel Lewis:
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships. CoRR abs/2007.13417 (2020) - [i5]Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Peter H. Tu:
Emergent symbolic language based deep medical image classification. CoRR abs/2008.09860 (2020) - [i4]Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Jianwei Qiu, Peter H. Tu:
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages. CoRR abs/2008.09866 (2020)
2010 – 2019
- 2019
- [c17]Alberto Santamaría-Pang, James R. Kubricht, Chinmaya Devaraj, Aritra Chowdhury, Peter H. Tu:
Towards Semantic Action Analysis via Emergent Language. AIVR 2019: 224-228 - [c16]Alberto Santamaría-Pang, Anup Sood, Dan E. Meyer, Aritra Chowdhury, Fiona Ginty:
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform. BIBM 2019: 2750-2756 - [i3]Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines. CoRR abs/1903.00405 (2019) - [i2]Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines. CoRR abs/1903.02521 (2019) - [i1]Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar
, Caroline Favart, V. Ratna Saripalli, Gopal Avinash:
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. CoRR abs/1910.04875 (2019) - 2018
- [b1]Aritra Chowdhury:
Reducing image classification error and quantifying the contributions of components in a learning pipeline. Rensselaer Polytechnic Institute, USA, 2018 - 2017
- [c15]Aritra Chowdhury, Dmitry V. Dylov, Qing Li, Michael MacDonald, Dan E. Meyer, Michael Marino, Alberto Santamaría-Pang:
Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. ISBI 2017: 629-632 - [c14]Aritra Chowdhury, Christopher J. Sevinsky, Alberto Santamaría-Pang, Bülent Yener:
A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data. Medical Imaging: Digital Pathology 2017: 101400Q - 2016
- [j4]Tongtao Zhang, Aritra Chowdhury, Nimit Dhulekar, Jinjing Xia, Kevin Knight, Heng Ji, Bülent Yener, Liming Zhao:
From Image to Translation: Processing the Endangered Nyushu Script. ACM Trans. Asian Low Resour. Lang. Inf. Process. 15(4): 23:1-23:16 (2016) - [c13]Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson:
A machine learning approach to quantifying noise in medical images. Medical Imaging: Digital Pathology 2016: 97910U - 2013
- [c12]Dipankar Maity, Aritra Chowdhury, S. Surender Reddy, Bijaya K. Panigrahi, Abhijit R. Abhyankar, Manas Kumar Mallick:
Joint energy and spinning reserve dispatch in wind-thermal power system using IDE-SAR technique. SIS 2013: 284-290 - 2012
- [j3]Aritra Chowdhury, Swagatam Das:
Automatic shape independent clustering inspired by ant dynamics. Swarm Evol. Comput. 3: 33-45 (2012) - [c11]Jaydeep Ghosh Chowdhury, Aritra Chowdhury, Arghya Sur, Swagatam Das:
Design of Non-uniform Circular Antenna Arrays Using Coordinated Bacterial Dynamics and Opposite Numbers. SEMCCO 2012: 746-753 - [c10]Jaydeep Ghosh Chowdhury, Aritra Chowdhury, Arghya Sur:
Large Scale Optimization Based on Co-ordinated Bacterial Dynamics and Opposite Numbers. SEMCCO 2012: 770-777 - 2011
- [j2]Arnob Ghosh, Swagatam Das, Aritra Chowdhury, Ritwik Giri:
An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization. Eng. Appl. Artif. Intell. 24(7): 1195-1203 (2011) - [j1]Arnob Ghosh, Swagatam Das, Aritra Chowdhury, Ritwik Giri:
An improved differential evolution algorithm with fitness-based adaptation of the control parameters. Inf. Sci. 181(18): 3749-3765 (2011) - [c9]Aritra Chowdhury, Sandip Bose, Swagatam Das:
Automatic Clustering Based on Invasive Weed Optimization Algorithm. SEMCCO (2) 2011: 105-112 - 2010
- [c8]Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das, Ajith Abraham, Václav Snásel:
Linear antenna array synthesis using fitness-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c7]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Sanjoy Das:
A fitness-based adaptation scheme for control parameters in differential evolution. GECCO (Companion) 2010: 2075-2076 - [c6]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Ajith Abraham:
A hybrid evolutionary direct search technique for solving Optimal Control problems. HIS 2010: 125-130 - [c5]Arnob Ghosh, Ritwik Giri, Aritra Chowdhury, Swagatam Das, Ajith Abraham:
Two-channel quadrature mirror bank filter design using a Fitness- Adaptive Differential Evolution algorithm. NaBIC 2010: 634-641 - [c4]Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das:
Multi Sensor Fusion Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 62-70 - [c3]Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das:
Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 87-94 - [c2]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Bijaya K. Panigrahi, Swagatam Das:
Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm. SEMCCO 2010: 523-530 - [c1]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagatam Das, Ajith Abraham, Václav Snásel:
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks. SMC 2010: 3166-3173
Coauthor Index
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