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Discovering important people and objects for egocentric video summarization

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012, p.1346-1353

2012

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Modeling of 2DEG and surface barrier height in ZnO-based heterostructures using surface states

2017 International Conference on Electron Devices and Solid-State Circuits (EDSSC), 2017, p.1-4

Ghosh, Joydeep

2017

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Multiclassifier Systems: Back to the Future

Lecture notes in computer science, 2002, p.1-15

2002

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CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020, p.166-172

2020

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Explainable machine learning in deployment

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, p.648-657

2020

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Bridge-Defect Prediction in SRAM Circuits Using Random Forest, XGBoost, and LightGBM Learners

2021 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), 2021, p.259-262

2021

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Review quality aware collaborative filtering

Proceedings of the sixth ACM conference on Recommender systems, 2012, p.123-130

2012

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Modeling the effect of the two-dimensional hole gas in a GaN/AlGaN/GaN heterostructure

2017 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EUROSOI-ULIS), 2017, p.156-159

2017

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Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p.115-124

2014

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Retargeted matrix factorization for collaborative filtering

Proceedings of the 7th ACM conference on Recommender systems, 2013, p.49-56

2013

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Model-Agnostic Explanations using Minimal Forcing Subsets

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

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Privacy-preserving distributed clustering using generative models

Third IEEE International Conference on Data Mining, 2003, p.211-218

2003

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Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019, p.857-860

2019

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Injection direction sensitive spin lifetime model in a strained thin silicon film

2015 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), 2015, p.277-280

2015

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Evaluation of Spin Lifetime in Thin-Body FETs: A High Performance Computing Approach

Large-Scale Scientific Computing, p.285-292

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A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-8

2023

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Scaling Data Association for Hypothesis-Oriented MHT

2019 22th International Conference on Information Fusion (FUSION), 2019, p.1-8

2019

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Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection

Companion Proceedings of the Web Conference 2022, 2022, p.705-715

2022

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Graph databases for large-scale healthcare systems: A framework for efficient data management and data services

2014 IEEE 30th International Conference on Data Engineering Workshops, 2014, p.12-19

2014

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An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems

Lecture notes in computer science, 2004, p.283-292

2004

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Measurement-Wise Occlusion in Multi-Object Tracking

2018 21st International Conference on Information Fusion (FUSION), 2018, p.2384-2391

2018

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Machine learning based lithographic hotspot detection with critical-feature extraction and classification

2009 IEEE International Conference on IC Design and Technology, 2009, p.219-222

2009

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Robust detection of non-motorized road users using deep learning on optical and LIDAR data

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, p.271-276

2016

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Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data

Sixth International Conference on Data Mining (ICDM'06), 2006, p.232-243

2006

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Dynamic Combination of Heterogeneous Models for Hierarchical Time Series

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022, p.1207-1216

2022

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Discovering important people and objects for egocentric video summarization

Modeling of 2DEG and surface barrier height in ZnO-based heterostructures using surface states

Multiclassifier Systems: Back to the Future

CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models

Explainable machine learning in deployment

Bridge-Defect Prediction in SRAM Circuits Using Random Forest, XGBoost, and LightGBM Learners

Review quality aware collaborative filtering

Modeling the effect of the two-dimensional hole gas in a GaN/AlGaN/GaN heterostructure

Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization

Retargeted matrix factorization for collaborative filtering

Model-Agnostic Explanations using Minimal Forcing Subsets

Privacy-preserving distributed clustering using generative models

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Injection direction sensitive spin lifetime model in a strained thin silicon film

Evaluation of Spin Lifetime in Thin-Body FETs: A High Performance Computing Approach

A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data

Scaling Data Association for Hypothesis-Oriented MHT

Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection

Graph databases for large-scale healthcare systems: A framework for efficient data management and data services

An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems

Measurement-Wise Occlusion in Multi-Object Tracking

Machine learning based lithographic hotspot detection with critical-feature extraction and classification

Robust detection of non-motorized road users using deep learning on optical and LIDAR data

Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data

Dynamic Combination of Heterogeneous Models for Hierarchical Time Series

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