Baidya Nath Saha

发表

A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes

Sriraam Natarajan, Joseph A. Maldjian, Baidya Nath Saha, 2012, 2012 11th International Conference on Machine Learning and Applications.

A robust convergence index filter for breast cancer cell segmentation

Russell Greiner, Nilanjan Ray, Baidya Nath Saha, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Quick detection of brain tumors and edemas: A bounding box method using symmetry

Russell Greiner, Nilanjan Ray, Hong Zhang, 2012, Comput. Medical Imaging Graph..

Change Detection and Object Segmentation: A Histogram of Features-Based Energy Minimization Approach

Nilanjan Ray, Hong Zhang, Baidya Nath Saha, 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

Oil sand image segmentation using the inclusion filter

Scott T. Acton, Nilanjan Ray, Baidya Nath Saha, 2008, 2008 15th IEEE International Conference on Image Processing.

Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution

Nilanjan Ray, Baidya Nath Saha, 2007, PReMI.

A Multi-objective Differential Evolution Algorithm for Robot Inverse Kinematics

Baidya Nath Saha, Enrique Rodriguez, Jesus Romero-Hdz, 2016 .

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy

Sriraam Natarajan, Joseph A. Maldjian, Nilanjan Ray, 2013, ECML/PKDD.

Efficient Integration of Template Matching, Calibration and Triangulation for Automating Peg Hole Insertion Task Using Two Cameras

Baidya Nath Saha, David Ortega, Jesus Romero-Hdz, 2016 .

Bayesian Network Classifier with Efficient Statistical Time-Series Features for the Classification of Robot Execution Failures

Baidya Nath Saha, David Ortega, Jesus Romero-Hdz, 2016 .

Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain

Kristian Kersting, Sriraam Natarajan, Joseph A. Maldjian, 2014, Int. J. Mach. Learn. Cybern..

Automating Snakes for Multiple Objects Detection

Nilanjan Ray, Hong Zhang, Baidya Nath Saha, 2010, ACCV.

Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm

Nilanjan Ray, Baidya Nath Saha, Sara McArdle, 2017, MICCAI.

Incorporating domain knowledge into reinforcement learning to expedite welding sequence optimization

Riccardo Fincato, Baidya Nath Saha, Jesus Romero-Hdz, 2020, Eng. Appl. Artif. Intell..

Multi-criteria-based optimal life-testing plans under hybrid censoring scheme

Baidya Nath Saha, Ritwik Bhattacharya, Narayanaswamy Balakrishnan, 2020 .

Edge Sensitive Variational Image Thresholding

Nilanjan Ray, Baidya Nath Saha, 2007, 2007 IEEE International Conference on Image Processing.

A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain

Kristian Kersting, Sriraam Natarajan, Joseph A. Maldjian, 2012, 2012 11th International Conference on Machine Learning and Applications.

Computing oil sand particle size distribution by snake-PCA algorithm

Nilanjan Ray, Hong Zhang, Baidya Nath Saha, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Image thresholding by variational minimax optimization

Nilanjan Ray, Baidya Nath Saha, Nilanjan Ray, 2009, Pattern Recognit..

Anovel framework for automatic passenger counting

Satarupa Mukherjee, Nilanjan Ray, Baidya Nath Saha, 2011, 2011 18th IEEE International Conference on Image Processing.

Implementation of Computer Vision Guided Peg-Hole Insertion Task Performed by Robot Through LabVIEW

Baidya Nath Saha, Andres Sauceda Cienfuegos, Jesus Romero, 2016, MICAI.

CIT Kokrajhar Team: LSTM based Deep RNN Architecture for Hate Speech and Offensive Content (HASOC) Identification in Indo-European Languages

Apurbalal Senapati, Baidya Nath Saha, B. Saha, 2019, FIRE.

Snake Validation: A PCA-Based Outlier Detection Method

Nilanjan Ray, Hong Zhang, Baidya Nath Saha, 2009, IEEE Signal Processing Letters.

A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images

Nilanjan Ray, Baidya Nath Saha, Sara McArdle, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

The evolution of snake toward automation: for multiple blob-object segmentation

Baidya Nath Saha, 2012 .

LSTM based Deep RNN Architecture for Election Sentiment Analysis from Bengali Newspaper

Apurbalal Senapati, Baidya Nath Saha, Anmol Mahajan, 2020, 2020 International Conference on Computational Performance Evaluation (ComPE).

Instagram Image Filtration with Computer Vision

Baidya Nath Saha, Tanjimul Ahad Asif, 2021, Proceedings of Intelligent Computing and Technologies Conference.

Using Machine Learning to Predict Distributed Denial-of-Service (DDoS) Attack

Baidya Nath Saha, Qozeem Adeniyi Adeshina, 2021, Proceedings of Intelligent Computing and Technologies Conference.

A Machine Learning Based Approach for Software Test Case Selection

Baidya Nath Saha, Victor Cheruiyot, 2021, Proceedings of Intelligent Computing and Technologies Conference.

End-to-End Speech Recognition Using Recurrent Neural Network (RNN)

Baidya Nath Saha, Rene Avalloni de Morais, 2021, Proceedings of Intelligent Computing and Technologies Conference.

Machine Learning Driven IoT Based Smart Health Care Kit

Baidya Nath Saha, Lekhasree Narayanagari, 2021, Proceedings of Intelligent Computing and Technologies Conference.

Dual-Arm Peg-in-Hole Assembly Using DNN with Double Force/Torque Sensor

Ismael Lopez-Juarez, Baidya Nath Saha, David Ortega-Aranda, 2021, Applied Sciences.