Saved in:
| Main Authors: | Miah, Haroon, Kollias, Dimitrios, Pedone, Giacinto Luca, Provan, Drew, Chen, Frederick |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.20562 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
by: Matsumoto, Masahiro, et al.
Published: (2025)
by: Matsumoto, Masahiro, et al.
Published: (2025)
Generation Constraint Scaling Can Mitigate Hallucination
by: Kollias, Georgios, et al.
Published: (2024)
by: Kollias, Georgios, et al.
Published: (2024)
CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence Detection
by: Senadeera, Damith Chamalke, et al.
Published: (2026)
by: Senadeera, Damith Chamalke, et al.
Published: (2026)
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
by: Senadeera, Damith Chamalke, et al.
Published: (2024)
by: Senadeera, Damith Chamalke, et al.
Published: (2024)
FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)
by: Hu, Guanyu, et al.
Published: (2025)
Can Machines Learn the True Probabilities?
by: Kim, Jinsook
Published: (2024)
by: Kim, Jinsook
Published: (2024)
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
by: Newaz, Asif, et al.
Published: (2023)
by: Newaz, Asif, et al.
Published: (2023)
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
by: Senadeera, Damith Chamalke, et al.
Published: (2025)
by: Senadeera, Damith Chamalke, et al.
Published: (2025)
Cardinality-Regularized Hawkes-Granger Model
by: Idé, Tsuyoshi, et al.
Published: (2022)
by: Idé, Tsuyoshi, et al.
Published: (2022)
PickLLM: Context-Aware RL-Assisted Large Language Model Routing
by: Sikeridis, Dimitrios, et al.
Published: (2024)
by: Sikeridis, Dimitrios, et al.
Published: (2024)
A Benchmark of Causal vs. Correlation AI for Predictive Maintenance
by: Dhande, Shaunak, et al.
Published: (2025)
by: Dhande, Shaunak, et al.
Published: (2025)
Machine Learning Driven Biomarker Selection for Medical Diagnosis
by: Bavikadi, Divyagna, et al.
Published: (2024)
by: Bavikadi, Divyagna, et al.
Published: (2024)
DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
by: Mishra, Aditya, et al.
Published: (2023)
by: Mishra, Aditya, et al.
Published: (2023)
Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?
by: Shaposhnyk, Olha, et al.
Published: (2025)
by: Shaposhnyk, Olha, et al.
Published: (2025)
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
by: Mukhtar, Adil, et al.
Published: (2025)
by: Mukhtar, Adil, et al.
Published: (2025)
Can LLMs Score Medical Diagnoses and Clinical Reasoning as well as Expert Panels?
by: Rouillard, Amy, et al.
Published: (2026)
by: Rouillard, Amy, et al.
Published: (2026)
Evaluating Multimodal LLMs for Inpatient Diagnosis: Real-World Performance, Safety, and Cost Across Ten Frontier Models
by: Bassett, Bruce A., et al.
Published: (2026)
by: Bassett, Bruce A., et al.
Published: (2026)
The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
by: Zimmer, Max, et al.
Published: (2026)
by: Zimmer, Max, et al.
Published: (2026)
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
Needle in the Haystack for Memory Based Large Language Models
by: Nelson, Elliot, et al.
Published: (2024)
by: Nelson, Elliot, et al.
Published: (2024)
FD-LLM: Large Language Model for Fault Diagnosis of Machines
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
Large Language Models can be Strong Self-Detoxifiers
by: Ko, Ching-Yun, et al.
Published: (2024)
by: Ko, Ching-Yun, et al.
Published: (2024)
Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
by: Deng, Boyuan, et al.
Published: (2025)
by: Deng, Boyuan, et al.
Published: (2025)
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
by: Wahab, Haroon, et al.
Published: (2025)
by: Wahab, Haroon, et al.
Published: (2025)
Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
by: Habchi, Yassine, et al.
Published: (2024)
by: Habchi, Yassine, et al.
Published: (2024)
GHaLIB: A Multilingual Framework for Hope Speech Detection in Low-Resource Languages
by: Abdullah, Ahmed, et al.
Published: (2025)
by: Abdullah, Ahmed, et al.
Published: (2025)
Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
by: Miah, Md Saef Ullah, et al.
Published: (2023)
by: Miah, Md Saef Ullah, et al.
Published: (2023)
Machine-Assisted Script Curation
by: Ciosici, Manuel R., et al.
Published: (2021)
by: Ciosici, Manuel R., et al.
Published: (2021)
BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
by: Khan, Md Nabi Newaz, et al.
Published: (2026)
Machine Unlearning in Contrastive Learning
by: Wang, Zixin, et al.
Published: (2024)
by: Wang, Zixin, et al.
Published: (2024)
Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
by: Maccay, Robbie, et al.
Published: (2024)
by: Maccay, Robbie, et al.
Published: (2024)
Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis
by: Wen, Xin, et al.
Published: (2025)
by: Wen, Xin, et al.
Published: (2025)
Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026)
by: Zheng, Jingsheng, et al.
Published: (2026)
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review
by: Mao, Lingchao, et al.
Published: (2024)
by: Mao, Lingchao, et al.
Published: (2024)
Ensemble Deep Learning and LLM-Assisted Reporting for Automated Skin Lesion Diagnosis
by: Khan, Sher, et al.
Published: (2025)
by: Khan, Sher, et al.
Published: (2025)
Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026)
by: Yang, Shenzhi, et al.
Published: (2026)
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
by: Cotroneo, D., et al.
Published: (2024)
by: Cotroneo, D., et al.
Published: (2024)
HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation
by: Zhang, Wenjing, et al.
Published: (2026)
by: Zhang, Wenjing, et al.
Published: (2026)
Similar Items
-
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
by: Saggese, Giacinto Paolo, et al.
Published: (2025) -
Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
by: Matsumoto, Masahiro, et al.
Published: (2025) -
Generation Constraint Scaling Can Mitigate Hallucination
by: Kollias, Georgios, et al.
Published: (2024) -
CoLoRSMamba: Conditional LoRA-Steered Mamba for Supervised Multimodal Violence Detection
by: Senadeera, Damith Chamalke, et al.
Published: (2026) -
CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention
by: Senadeera, Damith Chamalke, et al.
Published: (2024)