Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Shajalal, Md, Denef, Sebastian, Karim, Md. Rezaul, Boden, Alexander, Stevens, Gunnar |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Arabic Sentiment Analysis with Noisy Deep Explainable Model
by: Atabuzzaman, Md., et al.
Published: (2023)
by: Atabuzzaman, Md., et al.
Published: (2023)
Textual Entailment Recognition with Semantic Features from Empirical Text Representation
by: Shajalal, Md, et al.
Published: (2022)
by: Shajalal, Md, et al.
Published: (2022)
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
by: Shajalal, Md, et al.
Published: (2024)
by: Shajalal, Md, et al.
Published: (2024)
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
by: Shajalal, Md, et al.
Published: (2024)
by: Shajalal, Md, et al.
Published: (2024)
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
by: Karim, Md. Rezaul, et al.
Published: (2022)
by: Karim, Md. Rezaul, et al.
Published: (2022)
The Depth Delusion: Why Transformers Should Be Wider, Not Deeper
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
by: Masud, Syed Rayhan, et al.
Published: (2026)
by: Masud, Syed Rayhan, et al.
Published: (2026)
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)
Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025)
by: Karim, A H M Rezaul, et al.
Published: (2025)
Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
by: Karim, A H M Rezaul, et al.
Published: (2026)
by: Karim, A H M Rezaul, et al.
Published: (2026)
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
by: Saky, S M Asiful Islam, et al.
Published: (2025)
by: Saky, S M Asiful Islam, et al.
Published: (2025)
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification
by: Zou, Tao, et al.
Published: (2023)
by: Zou, Tao, et al.
Published: (2023)
Discrete Wavelet Transform as a Facilitator for Expressive Latent Space Representation in Variational Autoencoders in Satellite Imagery
by: Mahara, Arpan, et al.
Published: (2025)
by: Mahara, Arpan, et al.
Published: (2025)
A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
by: Haque, Md. Ehsanul, et al.
Published: (2026)
by: Haque, Md. Ehsanul, et al.
Published: (2026)
Bengali Text Classification: An Evaluation of Large Language Model Approaches
by: Hoque, Md Mahmudul, et al.
Published: (2026)
by: Hoque, Md Mahmudul, et al.
Published: (2026)
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
by: Ashikuzzaman, et al.
Published: (2026)
by: Ashikuzzaman, et al.
Published: (2026)
Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
by: Karim, A H M Rezaul, et al.
Published: (2025)
by: Karim, A H M Rezaul, et al.
Published: (2025)
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
by: Nezami, Nazanin, et al.
Published: (2024)
by: Nezami, Nazanin, et al.
Published: (2024)
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
by: Andres, Alain, et al.
Published: (2024)
by: Andres, Alain, et al.
Published: (2024)
Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
by: Habib, Md Imtiaz
Published: (2025)
by: Habib, Md Imtiaz
Published: (2025)
Towards Explainable Skin Cancer Classification: A Dual-Network Attention Model with Lesion Segmentation and Clinical Metadata Fusion
by: Atiq, Md. Enamul, et al.
Published: (2025)
by: Atiq, Md. Enamul, et al.
Published: (2025)
TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification
by: Ahamed, Rafi, et al.
Published: (2026)
by: Ahamed, Rafi, et al.
Published: (2026)
Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AI
by: Kar, Swati, et al.
Published: (2025)
by: Kar, Swati, et al.
Published: (2025)
Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
by: Akif, Md Ahnaf
Published: (2025)
by: Akif, Md Ahnaf
Published: (2025)
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN
by: Muttakin, Md Nurul, et al.
Published: (2022)
by: Muttakin, Md Nurul, et al.
Published: (2022)
An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis
by: Sk., Md. Sajeebul Islam, et al.
Published: (2026)
by: Sk., Md. Sajeebul Islam, et al.
Published: (2026)
LeafLife: An Explainable Deep Learning Framework with Robustness for Grape Leaf Disease Recognition
by: Alam, B. M. Shahria, et al.
Published: (2026)
by: Alam, B. M. Shahria, et al.
Published: (2026)
Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning
by: Mollick, Md. Abu Ahnaf, et al.
Published: (2025)
by: Mollick, Md. Abu Ahnaf, et al.
Published: (2025)
Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention
by: Mohammad, Noor Islam S., et al.
Published: (2025)
by: Mohammad, Noor Islam S., et al.
Published: (2025)
Ethic-BERT: An Enhanced Deep Learning Model for Ethical and Non-Ethical Content Classification
by: Mahadi, Mahamodul Hasan, et al.
Published: (2025)
by: Mahadi, Mahamodul Hasan, et al.
Published: (2025)
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
by: Bhattacharjee, Amrita, et al.
Published: (2023)
by: Bhattacharjee, Amrita, et al.
Published: (2023)
Explainable Planning for Hybrid Systems
by: Sarwar, Mir Md Sajid
Published: (2026)
by: Sarwar, Mir Md Sajid
Published: (2026)
Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
by: Islam, Md Shazid, et al.
Published: (2024)
by: Islam, Md Shazid, et al.
Published: (2024)
Blockchain-Enabled Explainable AI for Trusted Healthcare Systems
by: Mohsin, Md Talha
Published: (2025)
by: Mohsin, Md Talha
Published: (2025)
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
by: Hosain, Md. Tanzib, et al.
Published: (2023)
by: Hosain, Md. Tanzib, et al.
Published: (2023)
A Lightweight Explainable Guardrail for Prompt Safety
by: Islam, Md Asiful, et al.
Published: (2026)
by: Islam, Md Asiful, et al.
Published: (2026)
A Unified Framework for Evaluating and Enhancing the Transparency of Explainable AI Methods via Perturbation-Gradient Consensus Attribution
by: Islam, Md. Ariful, et al.
Published: (2024)
by: Islam, Md. Ariful, et al.
Published: (2024)
Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification
by: Mia, Shakil, et al.
Published: (2026)
by: Mia, Shakil, et al.
Published: (2026)
Similar Items
-
Arabic Sentiment Analysis with Noisy Deep Explainable Model
by: Atabuzzaman, Md., et al.
Published: (2023) -
Textual Entailment Recognition with Semantic Features from Empirical Text Representation
by: Shajalal, Md, et al.
Published: (2022) -
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
by: Shajalal, Md, et al.
Published: (2024) -
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
by: Shajalal, Md, et al.
Published: (2024) -
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
by: Karim, Md. Rezaul, et al.
Published: (2022)