:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Kamal, Rossi
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2301.00016
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Recurrent Learning Through Long Short Term Memory and TOPSIS
by: Kamal, Rossi
Published: (2022)

Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves
by: Reddi, Aryaman
Published: (2025)

Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
by: Cetina, Alan G. Paredes, et al.
Published: (2025)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)

Explainable AI (XAI) for Arrhythmia detection from electrocardiograms
by: Beck, Joschka, et al.
Published: (2025)

XAI-Units: Benchmarking Explainability Methods with Unit Tests
by: Lee, Jun Rui, et al.
Published: (2025)

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)

Using Part-based Representations for Explainable Deep Reinforcement Learning
by: Kirtas, Manos, et al.
Published: (2024)

Personalized Prediction By Learning Halfspace Reference Classes Under Well-Behaved Distribution
by: Huang, Jizhou, et al.
Published: (2025)

From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
by: Dar, Ugur, et al.
Published: (2024)

BXRL: Behavior-Explainable Reinforcement Learning
by: Rachum, Ram, et al.
Published: (2026)

Deep Learning on Real-World Graphs
by: Rossi, Emanuele
Published: (2025)

A Framework for Mining Collectively-Behaving Bots in MMORPGs
by: Kim, Hyunsoo, et al.
Published: (2025)

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
by: Kok, Ibrahim, et al.
Published: (2022)

Explainable artificial intelligence (XAI) for scaling: An application for deducing hydrologic connectivity at watershed scale
by: Ye, Sheng, et al.
Published: (2025)

Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
by: Youwai, Sompote, et al.
Published: (2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
by: Wu, Xuansheng, et al.
Published: (2024)

Cryptocurrency Portfolio Management with Reinforcement Learning: Soft Actor--Critic and Deep Deterministic Policy Gradient Algorithms
by: Paykan, Kamal
Published: (2025)

MENDR: Manifold Explainable Neural Data Representations
by: Chen, Matthew, et al.
Published: (2025)

Circuit Representations of Random Forests with Applications to XAI
by: Ji, Chunxi, et al.
Published: (2026)

Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
by: Bai, Samita, et al.
Published: (2024)

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)

Load and Renewable Energy Forecasting Using Deep Learning for Grid Stability
by: Sarkar, Kamal
Published: (2025)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)

Towards Explainable Deep Clustering for Time Series Data
by: Schlegel, Udo, et al.
Published: (2025)

PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
by: Raquib, Mirza, et al.
Published: (2025)

Explainable Representation Learning of Small Quantum States
by: Frohnert, Felix, et al.
Published: (2023)

Disentangled and Self-Explainable Node Representation Learning
by: Piaggesi, Simone, et al.
Published: (2024)

GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia
by: Lucibello, Carlo, et al.
Published: (2024)

Explainable artificial intelligence (XAI): from inherent explainability to large language models
by: Mumuni, Fuseini, et al.
Published: (2025)

Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
by: Bommer, Philine, et al.
Published: (2023)

Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance
by: Seth, Pratinav, et al.
Published: (2025)

LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
by: Tastan, Nurbek, et al.
Published: (2025)

D-STEER - Preference Alignment Techniques Learn to Behave, not to Believe -- Beneath the Surface, DPO as Steering Vector Perturbation in Activation Space
by: Raina, Samarth, et al.
Published: (2025)

Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave
by: Parekh, Sagar, et al.
Published: (2024)

AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
by: Turgut, Ozlem, et al.
Published: (2024)

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought
by: Yan, Cheng, et al.
Published: (2025)

REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)