yusuke1997/dblp-id-title huggingface dataset:
Which LIME Should I Trust? Concepts, Challenges, and Solutions
Probabilistic Modelling for Design and Verification of Trustworthy Autonomous Systems
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification
Explaining Low Perception Model Competency with High-Competency Counterfactuals
Integrating XAI for Predictive Conflict Analytics
Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees
Feature Importance versus Feature Influence and What It Signifies for Explainable AI
Assessing and Quantifying Perceived Trust in Interpretable Clinical Decision Support
The Duet of Representations and How Explanations Exacerbate It
XAI Requirements in Smart Production Processes: A Case Study
A Co-design Study for Multi-stakeholder Job Recommender System Explanations
CFIRE: A General Method for Combining Local Explanations
Lorenz Zonoids for Trustworthy AI
Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo)
Understanding Disagreement Between Humans and Machines in XAI: Robustness, Fidelity, and Region-Based Explanations in Automatic Neonatal Pain Assessment
Exploring Agent Behaviors in Network Security through Trajectory Clustering
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence
Do the Explanations Make Sense? Explainable Fake Review Identification and Users' Perspectives on Explanations
Pricing Risk: An XAI Analysis of Irish Car Insurance Premiums
EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models
GraphXAIN: Narratives to Explain Graph Neural Networks
Leveraging Influence Functions for Resampling Data in Physics-Informed Neural Networks
Explain and Interpret Few-Shot Learning
Antithetic Sampling for Top-K Shapley Identification
Categorical Foundation of Explainable AI: A Unifying Theory
Beyond One-Size-Fits-All: How User Objectives Shape Counterfactual Explanations
Graph-Based Interface for Explanations by Examples in Recommender Systems: A User Study
Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details
Systematic Benchmarking of Local and Global Explainable AI Methods for Tabular Healthcare Data
Investigating the Effect of Pre-processing Methods on Model Decision-Making in EEG-Based Person Identification
Explainable MLOps: A Methodological Framework for the Development of Explainable AI in Practice
FLEXtime: Filterbank Learning to Explain Time Series
Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI
Trustworthy Enough? Evaluation of an AI Decision Support System for Healthcare Professionals
Explainable Bayesian Optimization
Causality-Aware Local Interpretable Model-Agnostic Explanations
Evaluating Explanations of an Alzheimer's Disease 18F-FDG Brain PET Black-Box Classifier
Associative Interpretability of Hidden Semantics with Contrastiveness Operators in Face Classification Tasks
On Explaining and Reasoning About Optical Fiber Link Problems
A geometric XAI approach to protein pocket detection
CatBoost model with self-explanatory capabilities for predicting SLE in OMAN population
Evaluating Link Prediction Explanations for Graph Neural Networks
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods
Statistics and Explainability: A Fruitful Alliance
Explaining in Natural Language: A Discussion on Leveraging the Reasoning Capabilities of LLMs for XAI
Assesing the Interpretability of the Statistical Radiomic Features via Image Saliency Maps in Medical Image Classification Tasks
Weighted Mutual Information for Out-Of-Distribution Detection
Extending Merlin-Arthur Classifiers for Improved Interpretability
Leveraging XAI Techniques for Context-Aware Energy Consumption Forecasting
CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models
XAI for Group-AI Interaction: Towards Collaborative and Inclusive Explanations
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks
Augmenting XAI with LLMs: A Case Study in Banking Marketing Recommendation
MetaCoXAI Framework: Linking XAI, Computational Thinking, and Metacognition for Learning
Study on the Helpfulness of Explainable Artificial Intelligence
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
Counterfactual Explanations for Graph Classification Through the Lenses of Density
Evaluating Feature Relevance XAI in Network Intrusion Detection
Explainable and Debiased Misogyny Identification In Code-Mixed Hinglish using Artificial Intelligence Models
SHAP-RC: A Framework for Explaining Annotator Disagreement in Sexism Detection
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers
Bridging the Sim-to-Real Gap with Explainability for ML-based Object Detection on Sonar Data
Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values
The Xi Method: Unlocking the Mysteries of Regression with Statistics
Rulex Platform: leveraging domain knowledge and data-driven rules to support decisions in the fintech sector through eXplainable AI models
Can I Trust My Anomaly Detection System? A Case Study Based on Explainable AI
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
On the Explainability of Financial Robo-Advice Systems
Uncovering the Structure of Explanation Quality with Spectral Analysis
Towards XAI for Optimal Transport
Proceedings of the Second Workshop on Computational Logic and Applications, CLA 2004, Lyon, France, June 17-18, 2004
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization
Relating Visual and Semantic Image Descriptors
Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media, Proceedings of the European Workshop for the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2004, November 25-26, 2004, London, UK
A Short Introduction to FP6 Network of Excellence Muscle: Multimedia Understanding through Semantics, Computation and Learning
Knowledge Representation for Semantic Multimedia Content Analysis and Reasoning
Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback
Integrating Metadata-Driven Content Adaptation Approaches
Tuning SVM-Based Relevance Feedback for the Interactive Classification of Images
The DIP Project: Enabling Systems & Solutions for Processing Digital Content with Semantic Web Services
Domain Ontology Building for Semantic Web Applications to Cultural Heritage Repositories
Genome - A Personalised Programme Guide
Using Quality of Experience and Objective Network Metrics Feedback to Control Quality of Service in Conventional and Active Packet Networks
An Attention-Based Model Applied to Colour Histogram Indexing
Knowledge-Based and Semantic Adaptation of Multimedia Content
Unsupervised Region-Based Image Retrieval
Knowledge Discovery from Digital Media Objects Using Preference Semantics
AmigoTV: A Medianet Application
Tracking Animals in Wildlife Videos Using Face Detection
IST WCAM Project: Smart and Secure Video Coding Based on Content Detection
Polymnia: Personalised Leisure and Entertainment over Cross Media Intelligent Platforms
NM2: New Media for a New Millennium
Generic Object Registration Using Multiple Hypotheses Testing in Partition Trees
Body-Speech Coordination in Multi-Modal Synchrony
Reasoning on the Web: Language Prototypes and Perspectives
A Distributed Surveillance System to Improve Personal Security in Public Transport
Text-Based Semantic Annotation Service for Multimedia Content in the Esperonto Project
Dissolve Shot Boundary Determination
A Framework for Semantic Web-Enabled Multimedia
A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval
Semantic Knowledge Technology - The Next Stage in Knowledge Productivity
Knowledge Reproduction through Telephone Networks
JPEG2000 Based Scalable Summary for Remote Video Content Browsing and Efficient Semantic Structure Understanding
ALVIS: Superpeer Semantic Search Engine
An Overview of the PENG (Personalized News Content Programming) Project
Integration of Unstructured Data for Getting Refined Information
Integrating Perceptech Requirements in Multimedia Streaming
DIRECT-INFO: A Distributed Multimodal Analysis System for Media Monitoring Applications
Methods of Phoneme Distinction in a Continious Speech Recognition System
Adding Privacy Constraints to Video-Based Applications
Knowledge Web: Realising The Semantic Web, all The Way to Knowledge Enhanced Multimedia Documents
Information Management and Knowledge Sharing in WIDE
Action Sequence Detection in Motion Pictures
Constructive Electronic Publishing Based on Notion System and Interactive Dynamic Images
Handling Multilingual Content in Digital Media: The Multilingual Information Framework
Internet Intelligent Search System Smartfinder
CANDELA - Integrated Storage, Analysis and Distribution of Video Content for Intelligent Information Systems
Achieving Integration of Knowledge and Content Technologies: The aceMedia Project
Advances in Practical Implementation of the Digital Media Processing: Towards Reconfigurable Computation
Knowledge-Based Exploration of Multimedia Museum Collections
Loss Resilient, Scalable Audio Compression and Streaming
Digital Library Grid Scenarios
DCT-Based Downscaling Effects on Color and Texture-Based Image Retrieval
Knowledge Content Objects and a Knowledge Content Carrier
Broadcasting Synchronised and Scalable Content over Different Transmission Networks to a Variety of Terminal Devices: The SAVANT Project
Image Annotation Aided by a Semantic Belief Network
Using HMMs to Classify Video Sequences
An Overview of a New European Consortium: Integrated Three-Dimensional Television - Capture, Transmission and Display (3DTV)
Towards the Semantics of Digital Shapes: The AIM@SHAPE Approach
E-Movie Creation by Rule-Based Reasoning from the Director's Viewpoint - E-Movie: Computer Animation & Real Images
On the Evolution of IMEDIA Implementations
Proceedings of the First YAWL Symposium, Sankt Augustin, Germany, June 7, 2013
Editor 3.0: Redesigning the YAWL User Interface
YAWL4Industry: Reflections on using YAWL for Industry Projects
Process Monitoring Using Sensors in YAWL
YAWL in the Cloud
Adapting a Generic Data Synchronisation Framework for YAWL to Access Clinical Information Systems at the Task Level
Usability Extension for the Worklet Service
Using YAWL in a Business Undergraduate Course on Process Management: An Experience Report
Supporting the Workflow Management System Development Process with YAWL
Developing a Realistic Workflow Management Environment for Teaching: An Interface from YAWL to OpenERP
Bounding VC-dimension of neural networks: Progress and prospects
Distribution-Dependent Vapnik-Chervonenkis Bounds
Exact Learning when Irrelevant Variables Abound
Computational Learning Theory, Second European Conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995, Proceedings
Function learning from interpolation
On the complexity of learning on neural nets
Entropy Numbers, Operators and Support Vector Kernels
On learning simple deterministic and probabilistic neural concepts
An Application of Codes to Attribute-Efficient Learning
Ordinal Mind Change Complexity of Language Identification
Online learning versus offline learning
Theoretical Views of Boosting
Generalization Performance of Classifiers in Terms of Observed Covering Numbers
On-line maximum likelihood prediction with respect to general loss functions
Open Theoretical Questions in Reinforcement Learning
Hardness Results for Neural Network Approximation Problems
A neuroidal model for cognitive functions
Minimum description length estimators under the optimal coding scheme
Trading monotonicity demands versus mind changes
Learning behaviors of automata from shortest counterexamples
Learning Multiplicity Automata from Smallest Counterexamples
Averaging Expert Predictions
Regularized Principal Manifolds
Learning non-parametric smooth rules by stochastic rules with finite partitioning
On the power of equivalence queries
Bounds on the number of examples needed for learning functions
Avoiding Coding Tricks by Hyperrobust Learning
A note on the use of probabilities by mechanical learners
Trial and error: a new approach to space-bounded learning
On Teaching and Learning Intersection-Closed Concept Classes
Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension
Is Pocket algorithm optimal?
Stochastic complexity in learning
Learning Formulae from Elementary Facts
Learning rules with local exceptions
Direct and Indirect Algorithms for On-line Learning of Disjunctions
Proceedings of the First European Conference on Computational Learning Theory, EuroCOLT 1993, London, UK, December 20-22, 1993
Computational Learning Theory, 4th European Conference, EuroCOLT '99, Nordkirchen, Germany, March 29-31, 1999, Proceedings
Learning of regular expressions by pattern matching
Learning recursive functions from approximations
Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition
Margin Distribution Bounds on Generalization
Query by Committee, Linear Separation and Random Walks
The neural network loading problem is undecidable
Learning by extended statistical queries and its relation to PAC learning
Learning Under Persistent Drift
Optimal Attribute-Efficient Learning of Disjunction, Parity and Threshold Functions
Control Structures in Hypothesis Spaces: The Influence on Learning
Linear Algebraic Proofs of VC-Dimension Based Inequalities
Learning When to Trust Which Experts
On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm
Structural Measures for Games and Process Control in the Branch Learning Model
A Result Relating Convex n -Widths to Covering Numbers with some Applications to Neural Networks
Using Kullback-Leibler divergence in learning theory
Learning Nearly Monotone k -term DNF
Approximation and learning of convex superpositions
Monotonic and Dual-Monotonic Probabilistic Language Learning of Indexed Families with High Probability
Improved sample size bounds for PAB-decisions
The structure of intrinsic complexity of learning
Classification of predicates and languages
Closedness Properties in Team Learning of Recursive Functions
Characterizing rational versus exponential learning curves
A decision-theoretic generalization of on-line learning and an application to boosting
A Geometric Approach to Leveraging Weak Learners
Learning Boxes in High Dimension
Learning unions of convex polygons
On-line prediction and conversion strategies
Some new directions in computational learning theory
Using experts for predicting continuous outcomes
Learning Monotone Term Decision Lists
Learnability of Kolmogorov-easy circuit expressions via queries
Some theorems concerning the free energy of (un)constrained stochastic hopfield neural networks
Learning distributions by their density-levels - a paradigm for learning without a teacher
Tight worst-case loss bounds for predicting with expert advice
The power of procrastination in inductive inference: How it depends on used ordinal notations
A Minimax Lower Bound for Empirical Quantizer Design
The query complexity of learning some subclasses of context-free grammars
On Error Estimation for the Partitioning Classification Rule
Computational Learning Theory, Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17-19, 1997, Proceedings
Learning from Incomplete Boundary Queries Using Split Graphs and Hypergraphs
Learning Matrix Functions over Rings
Valid generalisation of functions from close approximations on a sample
Learning Pattern Languages Using Queries
The discovery of algorithmic probability: A guide for the programming of true creativity
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Kolmogorov numberings and minimal identification
Average case analysis of a learning algorithm for µ-DNF expressions
Learning decision lists and trees with equivalence-queries
Typed pattern languages and their learnability
Robust Learning with Infinite Additional Information
MDL learning of unions of simple pattern languages from positive examples
Read-twice DNF formulas are properly learnable
On training simple neural networks and small-weight neurons
Generalization of the PAC-Model for Learning with Partial Information
Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with Noise
Learning local and recognizable Ω-languages and monadic logic programs
On Learning Programs and Small Depth Circuits
Learnability of Quantified Formulas
A space-bounded learning algorithm for axis-parallel rectangles
On the intrinsic complexity of learning
Confidence Estimates of Classification Accuracy on New Examples
Learning Range Restricted Horn Expressions
On Fast and Simple Algorithms for Finding Maximal Subarrays and Applications in Learning Theory
Mind Change Complexity of Learning Logic Programs
Evaluation of STEAM methodologies in undergraduate applied mathematics courses
Artificial Intelligence-Enhanced Virtual Reality for Health and Safety Training in Construction
Student Satisfaction Index in Synchronous e-Learning a Case Study
Using descriptive and predictive learning analytics to understand student behavior at LMS Moodle
Retrieval Augmented Generation in Large Language Models: Development of AI Chatbot for Student Support
Student Modeling with Clustering: Comparative Analysis of Case Studies in Two Higher Educational Institutions from Different Countries
Psychometric properties of a 21st century digital skills scale
Towards a Valid and Reliable Checklist to Evaluate Argumentative Essays Composed by ChatGPT
Development of the Adaptive Learning Concept at CARNET
Proceedings of the 15th International Conference on e-Learning (eLearning 2024), Belgrade, Serbia, September 26th and 27th, 2024
13th International Conference on eLearning (eLearning-2022), Belgrade, Serbia, September 29-30, 2022
Architecture of an Automated Grading System using Solidity for Blockchain Development
Comparative Analysis of Machine Learning Based Predictive Models of Student Success: Survey versus Learning Management System Data
Gamification: An Innovative Approach To Employee Training And Skill Development
The Features Learning Analytics Students Want the Most: Help Them Learn Over All Else
Multimedia Use in Higher Education: e-Universities Project
Gamification of Learning in Artistic Fields Through the Form of Playing to Knowledge
Comparative Analysis of Student Performance Across Different Cohorts in Higher Education
Student Feedback on the Effectiveness of ChatGPT for Essay Writing
Implementing Chat GPT in Moodle for Enhanced eLearning Systems
Rebuilding Stronger: Students' Digital Resilience in the Post-Pandemic Era
A lightweight permissioned distributed ledger for credentialing in higher education institutions
Proceedings 14th International Conference on eLearning (eLearning-2023), Belgrade, Serbia, September 28-29, 2023
Game Based Learning for Enhancement of New Skills Using Micro-MOOCS for Academic Staff
Learning management systems for hybrid teaching models in primary schools in Serbia during the COVID-19 pandemic
Framework for Enhancing Tutor-student Interaction in Blended Courses: a Case of Bachelor of Youth in Development Work at Makerere University
Improvements of Existing Autograding System for Interactive Learning Functional Programming in Java
AI in Action: Transforming Assessment Practices - A Case Study of YouTestMe
The Effects of Implementing Project-Based Learning in the Programming Course
Training Primary School Teachers for Coding Robots and Implementing Unplugged Coding Activities
Adaptive and Personalized eLearning: The Present Perfect Tense Acquisition By Serbian Online Learners
Enhancing Organizational Success: Metrics-Driven Employee Development in Software Companies
Fostering STEAM for Inclusive Learning
Revolutionizing Online Learning: The Promise and Perils of Chatbots and Blockchain
Prediction of student academic performance using machine learning algorithms
Game-based Learning: Interaction in Educational Virtual Reality Games Using the Virtual Reality Headsets
Computer Graphics in Teaching Mathematics
Learning Data Visualization in Python Utilizing an Autograding and Feedback System
Exploring the Intersection of Artificial Intelligence and Special Education
A Proposed Methodology for Effective Erasmus+ Projects in the Realm of eLearning
Digital Transformation in Higher Education: A Focus on Croatia
Defining Quality of Experience in e-Learning: a Literature Review
Blockchain in Higher Education: a Review on Needed Technologies for an Undergraduate Web3 Course
Designing a Development Environment for Logic and Multi-Paradigm Programming
Model-Driven Generation of Graphical Maps for e-Contents
An Eclipse Based Environment to Define and Execute Processes with Application to the Reverse Engineering
ONE Client: An RCP Application to Browse NewsML news
Business process Eclipse Editor (BEE)
Models and tools to Improve Absorptive Capacity of Distributed Knowledge Networks
Enhancing IBM Requisite Pro with IR-based Traceability Recovery Features
Adopting the Eclipse Communication Framework: The Case of eConference
Proceedings of the 3rd Italian Workshop on Eclipse Technologies, Eclipse-IT 2008, Bari, Italy, November 17-18, 2008
The CD-Lomas project: an RCP-based Collaborative Distributed Learning Object Management System
Embedding a Test Tool in Eclipse Java Development Environment
Accounting Architecture Involving Agent Capabilities
Bringing Telecommunication Services to the People - IS&N'95, Third International Conference on Intelligence in Broadband Services and Networks, Heraklion, Crete, Greece, October 16-20, 1995, Proceedings
Mobility Management
Managing the TMN
Relevance of Existing Intelligent Network Infrastructure to the Internet
Concepts for a Flexible Service Architecture
An Approach to Electronic Brokerage in TINA Environments
Scheduled Connections: Managing Temporal Constraints on Broadband Network Resources
Use of Transactions in Network Management Applications
User Design Issues - Introduction
Secure Billing for Mobile Information Services in UMTS
Service Creation Techniques for Software Development and Deployment
The EURESCOM P610 Project: Providing a Framework, Architecture and Methodology for Multimedia Service Management
Engineering a TMN in an Open Distributed Processing Environment
Web-Based Service Customization in an IN-TINA Environment
Integrated Access Control Management
Component Models and Service Creation - Introduction
The Application of Mobile Agent Technology to Mobility Management in MARINE
ATM Network Management with Distributed Transactional Agents
Near Client Caching in Large Scale iVoD Systems
Towards Harmonised Pan-European TMN Customer Care Solutions: Interoperable Trouble Ticketing Management Service
Agent Technology and Applications
External Access to TMN: An ODP Specification
Service Engineering - Introduction
Knowledge Modelling in Multiagent Systems: The Case of the Management of a National Network
Signalling System No. 7 as an Agent Platform Message Transport Protocol
Performance Evaluation of an Allocation Strategy for TINA Compliant Mobile Agents Supporting PCS in a Multi-retailer Environment
TMN Security: An Evolutionary Approach
A CORBA Environment Supporting Mobile Objects
End-to-End Service Management with Multiple Providers
Video On Demand in an Integrated IN/B-ISDN Scenario
Distributed Transaction Processing in the IBC
An Experimental Evaluation of a Normative User Interface Design for the Configuration of Telecommunication Services
Telecommunications Management Systems Design Issues - Introduction
Human Factors - Introduction
Structuring Principles for Total Quality Management in IBCN
An SNMP-based CNM Agent for ATM Networks: System Architecture and Implementation
Using SDL for Targeting Services to CORBA
A Methodology for Developing Integrated Multi-domain Service Management Systems
An ATM API for Java