Mohammad Kachuee

Orcid: 0000-0002-0099-3466

According to our database1, Mohammad Kachuee authored at least 34 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Planning and Editing What You Retrieve for Enhanced Tool Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

GrounDial: Human-norm Grounded Safe Dialog Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems.
CoRR, 2023

Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Generative Imputation and Stochastic Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Constrained Policy Optimization for Controlled Contextual Bandit Exploration.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Decentralized Knowledge Transfer on Edge Networks for Detecting Cancer in Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Opportunistic Learning: Algorithms and Methods for Cost-Sensitive and Context-Aware Learning.
PhD thesis, 2020

TAPER: Time-Aware Patient EHR Representation.
IEEE J. Biomed. Health Informatics, 2020

Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data.
ACM Trans. Comput. Heal., 2020

Real-Time Decentralized knowledge Transfer at the Edge.
CoRR, 2020

2019
Dynamic Feature Acquisition Using Denoising Autoencoders.
IEEE Trans. Neural Networks Learn. Syst., 2019

Group-Connected Multilayer Perceptron Networks.
CoRR, 2019

Cost-Sensitive Feature-Value Acquisition Using Feature Relevance.
CoRR, 2019

Unsupervised Representation for EHR Signals and Codes as Patient Status Vector.
CoRR, 2019

Target-Focused Feature Selection Using a Bayesian Approach.
CoRR, 2019

Nutrition and Health Data for Cost-Sensitive Learning.
CoRR, 2019

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
ECG Heartbeat Classification: A Deep Transferable Representation.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Nonlinear Cuffless Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time.
IEEE Trans. Instrum. Meas., 2017

Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring.
IEEE Trans. Biomed. Eng., 2017

Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress.
CoRR, 2017

Non-invasive blood pressure estimation using phonocardiogram.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

An Active Learning Based Prediction of Epidural Stimulation Outcome in Spinal Cord Injury Patients Using Dynamic Sample Weighting.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Context-aware feature query to improve the prediction performance.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2015
Cuff-Less Blood Pressure Estimation.
Dataset, July, 2015

GPU-based Acceleration of Deep Convolutional Neural Networks on Mobile Platforms.
CoRR, 2015

Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015


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