Aritra Chowdhury

Affiliations:
  • Rensselaer Polytechnic Institute, Department of Computer Science, USA
  • Jadavpur University, Kolkata, Department of Electronics and Telecommunication Engineering, India


According to our database1, Aritra Chowdhury authored at least 35 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Thermal Shutdown implementation in BLE microcontroller for TPMS and Industrial application.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

2021
Adversarial Attacks with Time-Scale Representations.
CoRR, 2021

Active deep learning reduces annotation burden in automatic cell segmentation.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

Emergent Symbolic Language Based Deep Medical Image Classification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery.
Int. J. Semantic Comput., 2020

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages.
CoRR, 2020

Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships.
CoRR, 2020

Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Escell: Emergent Symbolic Cellular Language.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

From Symbols to Signals: Symbolic Variational Autoencoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.
CoRR, 2019

Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines.
CoRR, 2019

Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines.
CoRR, 2019

Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Towards Semantic Action Analysis via Emergent Language.
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019

2018
Reducing image classification error and quantifying the contributions of components in a learning pipeline.
PhD thesis, 2018

2017
A computational study on convolutional feature combination strategies for grade classification in colon cancer using fluorescence microscopy data.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
From Image to Translation: Processing the Endangered Nyushu Script.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016

A machine learning approach to quantifying noise in medical images.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

2013
Joint energy and spinning reserve dispatch in wind-thermal power system using IDE-SAR technique.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

2012
Automatic shape independent clustering inspired by ant dynamics.
Swarm Evol. Comput., 2012

Design of Non-uniform Circular Antenna Arrays Using Coordinated Bacterial Dynamics and Opposite Numbers.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Large Scale Optimization Based on Co-ordinated Bacterial Dynamics and Opposite Numbers.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

2011
An improved differential evolution algorithm with fitness-based adaptation of the control parameters.
Inf. Sci., 2011

An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization.
Eng. Appl. Artif. Intell., 2011

Automatic Clustering Based on Invasive Weed Optimization Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2010
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2010

Multi Sensor Fusion Using Fitness Adaptive Differential Evolution.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Two-channel quadrature mirror bank filter design using a Fitness- Adaptive Differential Evolution algorithm.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

A hybrid evolutionary direct search technique for solving Optimal Control problems.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

A fitness-based adaptation scheme for control parameters in differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Linear antenna array synthesis using fitness-adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010


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