Anirban Roy

Orcid: 0000-0003-3786-7380

According to our database1, Anirban Roy authored at least 56 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
An irregular CLA-based novel frequent pattern mining approach.
Int. J. Data Min. Model. Manag., 2024

BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception.
CoRR, 2024

Concept-Based Analysis of Neural Networks via Vision-Language Models.
Proceedings of the AI Verification - First International Symposium, 2024

Direct Amortized Likelihood Ratio Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Frequent itemset mining using FP-tree: a CLA-based approach and its extended application in biodiversity data.
Innov. Syst. Softw. Eng., September, 2023

Principled Out-of-Distribution Detection via Multiple Testing.
J. Mach. Learn. Res., 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
CoRR, 2023

Automatic Measures for Evaluating Generative Design Methods for Architects.
CoRR, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models.
Proceedings of the IEEE Military Communications Conference, 2023

Principled OOD Detection via Multiple Testing.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Multirotor VTOL and Tilt Rotor Transition to Fixed Wing.
Proceedings of the 11th IEEE International Conference on Systems and Control, 2023

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

An Approach to Detect Air Quality using Machine Learning and Data Analysis Tools.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Detecting Trojaned DNNs Using Counterfactual Attributions.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An Introduction to KDB: Knowledge Discovery in Biodiversity.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity.
SN Comput. Sci., 2022

Recognition of co-existence pattern of salt marshes and mangroves for littoral forest restoration.
Ecol. Informatics, 2022

DiffAlign : Few-shot learning using diffusion based synthesis and alignment.
CoRR, 2022

Design of Unmanned Air Vehicles Using Transformer Surrogate Models.
CoRR, 2022

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data.
CoRR, 2022

Multiple Testing Framework for Out-of-Distribution Detection.
CoRR, 2022

Detecting out-of-context objects using contextual cues.
CoRR, 2022

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Detecting OODs as datapoints with High Uncertainty.
CoRR, 2021

Online Defense of Trojaned Models using Misattributions.
CoRR, 2021

Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs.
CoRR, 2021

Fast-acting insulin aspart (Fiasp®) improves glycemic outcomes when used with MiniMed<sup>TM</sup> 670G hybrid closed-loop system in simulated trials compared to NovoLog®.
Comput. Methods Programs Biomed., 2021

On Detection of Out of Distribution Inputs in Deep Neural Networks.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

MISA: Online Defense of Trojaned Models using Misattributions.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance.
Neural Networks, 2020

Textual Lyrics Based Emotion Analysis of Bengali Songs.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention.
CoRR, 2018

Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements.
IEEE Trans. Biomed. Eng., 2017

Current scenario of ambient carbon dioxide levels at multiple locations in urban Ahmedabad revealed by a 2004 nm tunable diode laser spectroscopy system.
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Multi-target trackers using cubature Kalman filter for Doppler radar tracking in clutter.
IET Signal Process., 2016

Context-regularized learning of fully convolutional networks for scene labeling.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Multi-scale CNN for Affordance Segmentation in RGB Images.
Proceedings of the Computer Vision - ECCV 2016, 2016

Monocular Depth Estimation Using Neural Regression Forest.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Scene Labeling Using Beam Search under Mutex Constraints.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
A multi-scale framework for multi-phase equilibrium flash.
Comput. Chem. Eng., 2012

2011
Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2010
Hardy's non-locality and generalized non-local theory.
Quantum Inf. Comput., 2010

A phenomenological model of plasma FFA, glucose, and insulin concentrations during rest and exercise.
Proceedings of the American Control Conference, 2010

2009
URL normalization for de-duplication of web pages.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007
Winning strategies for pseudo-telepathy games using single non-local box.
Quantum Inf. Comput., 2007

2006
Mixed Meal Modeling and Disturbance Rejection in Type I Diabetic Patients.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2001
Design of a Link Control Protocol for Multimedia Services in Wireless Local Communication.
Wirel. Pers. Commun., 2001

1999
A multiple access scheme for VBR traffic in broadband wireless local communication.
Comput. Commun., 1999


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