Learning Approach

Learning approaches in artificial intelligence focus on enabling systems to learn effectively from limited data, addressing the limitations of traditional data-hungry methods. Current research emphasizes few-shot and zero-shot learning techniques, often employing deep learning architectures like convolutional neural networks (CNNs) and transformers, along with algorithms such as Prototypical Networks and Relation Networks. This research is significant because it allows for the application of AI to diverse domains with limited labeled data, including medical imaging, cybersecurity, and robotics, improving efficiency and expanding the scope of AI applications.

Papers

December 16, 2024

How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach
Abdulrahman Althobaiti, Angel Ayala, JingYing Gao, Ali Almutairi, Mohammad Deghat, Imran Razzak, Francisco Cruz
Large Language Model Knowledge Graph Robotics Domain Natural Language Instruction Robot Action Robot Safety Safety Verification Learning Approach Safety Layer

December 10, 2024

Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach
Khandker Sadia Rahman, Charalampos Chelmis
LeArning Abstract Latent Representation Predictive Model Individual Representation Relation Pattern Learning Approach

December 8, 2024

Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach
Fang Tang, Han Wang, Maria Laura Delle Monache
Reinforcement Learning Markov Decision Process Data Driven Hurricane Evacuation Learning Approach Evacuation Decision

December 3, 2024

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
Indronil Bhattacharjee, Al-Mahmud, Tareq Mahmud
New Machine Random Forest Support Vector Machine Diabetic Retinopathy Retinal Image Bayes Classifier Learning Approach

November 25, 2024

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
Elona Shatri, Daniel Raymond, George Fazekas
Convolutional Neural Network Learning Approach Small Training Historical Manuscript

November 15, 2024

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
Ratun Rahman, Neeraj Kumar, Dinh C. Nguyen
Load Forecasting Smart Grid Smart Meter Learning Approach Personalized Federated

November 14, 2024

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
Deep Learning Retrieval Augmented Generation Information Retrieval Open Source Large Language Model Biodiversity Monitoring Learning Approach

November 7, 2024

Multi-temporal crack segmentation in concrete structure using deep learning approaches
Said Harb, Pedro Achanccaray, Mehdi Maboudi, Markus Gerke
Spatio Temporal Segmentation Quality Crack Detection Crack Segmentation Consistent Segmentation Learning Approach Concrete Structure

November 4, 2024

Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera, Francisco J. González-Castaño
Natural Language Processing New Machine Pre Trained Large Language Model Cognitive Decline Learning Approach

October 1, 2024

Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches
Andreas Groll, Lars M. Hvattum, Christophe Ley, Jonas Sternemann, Gunther Schauberger, Achim Zeileis
Machine Learning Human Prediction Random Forest Model Google Research Football Learning Approach Unsupervised Automatic Speech Recognition Team Sport

September 18, 2024

Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
A.A.G. Yogi Pramana, Faiz Ihza Permana, Muhammad Fazil Maulana, Dzikri Rahadian Fudholi
Image Classification Shot Learning Chest X Ray Image Chest X Ray Datasets Learning Approach Tuberculosis Detection

September 17, 2024

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach
Kyle Stein, Andrew A. Mahyari, Guillermo Francia III, Eman El-Sheikh
Malware Detection Learning Approach Malware Representation Deep Packet Inspection Packet Classification Malware Feature

September 7, 2024

Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications
Giorgos Polychronis, Manos Koutsoubelias, Spyros Lalis
Single Drone Computation Method Learning Approach Informed Decision

August 15, 2024

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
Stefano Woerner, Christian F. Baumgartner
New Benchmark Foundation Model Shot Learning Supervised ImageNet Medical Imaging Zero Shot Learning Medical Image Datasets Data Scarcity Medical Image Analysis Task Learning Approach

May 31, 2024

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
Gaussian Process Uncertainty Quantification Physic Based Model Learning Approach Hydrological Model AI Reasoning Streamflow Prediction Water Resource

May 21, 2024

Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, Firas Yanbaawi, Hassan Alhuzali
Empirical Study Multi Label Classification Arabic Speaker Learning Approach Persuasion Strategy

April 3, 2024

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
Zhigen Zhao, Shuo Cheng, Yan Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao
Timely Survey Motion Planning Trajectory Optimization Learning Approach Optimization Task Multi Contact Locomotion

February 5, 2024

Toward Green and Human-Like Artificial Intelligence: A Complete Survey on Contemporary Few-Shot Learning Approaches
Georgios Tsoumplekas, Vladislav Li, Panagiotis Sarigiannidis, Vasileios Argyriou
Deep Learning LeArning Abstract Comprehensive Survey Fast Adaptation Learning Task Learning Approach CLASSIC Modern Contemporary

January 15, 2024

Survey of Learning-based Approaches for Robotic In-Hand Manipulation
Abraham Itzhak Weinberg, Alon Shirizly, Osher Azulay, Avishai Sintov
Timely Survey Robotic System Hand Manipulation Human Dexterity Learning Approach Robotic in Hand Manipulation

October 5, 2023

Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection
Awais Khan, Khalid Mahmood Malik
Audio Deepfake Detection Learning Approach Voice Authentication Audio DeepFakes

Learning Approach

Papers

How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach

Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach

Strategizing Equitable Transit Evacuations: A Data-Driven Reinforcement Learning Approach

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications

Multi-temporal crack segmentation in concrete structure using deep learning approaches

Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models

Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches

Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach

Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications

Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach

Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches

Toward Green and Human-Like Artificial Intelligence: A Complete Survey on Contemporary Few-Shot Learning Approaches

Survey of Learning-based Approaches for Robotic In-Hand Manipulation

Securing Voice Biometrics: One-Shot Learning Approach for Audio Deepfake Detection