Joydeep Ghosh
- Top 10 algorithms in data mining
2007/12/03 by Xindong Wu, Vipin Kumar, J. R. Quinlan +14 · 10 citations
Computer Science · #Data Mining Algorithms and Applications #Face and Expression Recognition #Machine Learning and Data Classification
- Explainable Machine Learning in Deployment
2019/09/13 by Umang Bhatt, Bhatt, Umang, Alice Xiang +17 · 21 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CY #cs.HC #cs.LG #stat.ML
- Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
2019/07/22 by Shalmali Joshi, Joshi, Shalmali, Oluwasanmi Koyejo +8 · 22 citations
Computer Science · Decision Sciences · Mathematics · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Scientific Computing and Data Management #cs.LG #stat.ML
- SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
2024/05/30 by Vijay Lingam, Lingam, Vijay, Atula Tejaswi +17 · 1 voice · 26 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Filter Design and Implementation #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Scalable Greedy Feature Selection via Weak Submodularity
2017/03/08 by Rajiv Khanna, Ethan Elenberg, Khanna, Rajiv +8 · 6 citations
Computer Science · Engineering · Mathematics · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #cs.IT #cs.LG #math.IT #stat.ML
- Interpreting Black Box Predictions using Fisher Kernels
2018/10/23 by Rajiv Khanna, Khanna, Rajiv, Been Kim +5 · 5 citations
Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #cs.LG #stat.ML
- Dating Texts without Explicit Temporal Cues
2012/11/10 by Abhimanu Kumar, Jason Baldridge, Kumar, Abhimanu +5 · 2 citations
Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL
- Exploring Explainability in Video Action Recognition
2024/04/13 by Avinab Saha, Saha, Avinab, Shashank Gupta +7 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human Pose and Action Recognition
- FaiR-N: Fair and Robust Neural Networks for Structured Data
2020/10/13 by Shubham Sharma, Sharma, Shubham, Alan H. Gee +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Preference Completion from Partial Rankings
2016/11/14 by Suriya Gunasekar, Gunasekar, Suriya, Oluwasanmi Koyejo +3 · 2 citations
Computer Science · Decision Sciences · Engineering · Mathematics · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Sparse and Compressive Sensing Techniques #cs.LG #stat.ML
- Biased Models Have Biased Explanations
2020/12/20 by Aditya Jain, Jain, Aditya, Manish Ravula +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data
2016/09/14 by Suriya Gunasekar, Joyce C. Ho, Gunasekar, Suriya +16 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning in Healthcare #Tensor decomposition and applications #stat.AP
- Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
2016/08/02 by Shalmali Joshi, Joshi, Shalmali, Suriya Gunasekar +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Computer and information sciences #Face and Expression Recognition #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications #cs.LG #stat.ML
- Measurement-wise Occlusion in Multi-object Tracking
2018/05/21 by Michael Motro, Joydeep Ghosh, Motro, Michael +1 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #cs.CV #cs.RO
- xGEMs: Generating Examplars to Explain Black-Box Models
2018/06/22 by Shalmali Joshi, Oluwasanmi Koyejo, Joshi, Shalmali +5 · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Achieving Fairness Across Local and Global Models in Federated Learning
2024/06/24 by Disha Makhija, Xing Han, Makhija, Disha +5 · 3 citations
Computer Science · Social Sciences · #Privacy-Preserving Technologies in Data #Ethics and Social Impacts of AI #Privacy, Security, and Data Protection
- Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
2015/12/30 by Ayan Acharya, Acharya, Ayan, Joydeep Ghosh +3 · 2 citations
Computer Science · Mathematics · Social Sciences · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (stat.ML) #Methodology (stat.ME) #stat.AP #stat.ME #stat.ML
- Designing Robust Transformers using Robust Kernel Density Estimation
2022/10/11 by Xing Han, Tongzheng Ren, Han, Xing +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Dynamic Combination of Heterogeneous Models for Hierarchical Time Series
2021/12/22 by Xing Han, Han, Xing, Jing Hu +3 · 1 citation
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes
2024/03/28 by Song Wang, Yiliang Zhou, Wang, Song +13 · 1 citation
Social Sciences · #Computational and Text Analysis Methods
- Torsade de Pointes due to Methadone Use in a Patient with HIV and Hepatitis C Coinfection
2010/01/01 by Jinu John, Xixi Amley, Gabriel Bombino +4 · 1 citation
Medicine · Pharmacology, Toxicology and Pharmaceutics · #Poisoning and overdose treatments #Drug-Induced Adverse Reactions #Pharmacovigilance and Adverse Drug Reactions