yusuke1997/dblp-id-title huggingface dataset:
A tale of two cities: computer mediated teaching & learning in Melbourne and Singapore
Situation, learning and design: contexts for educational use of computer networks
Strategies for retention and success of special group students utilising a technology approach
Storytelling in computer programming
Authentic learning interactions: myth or reality?
Genre structuring in a web-based groupware medium: the evolution of project progress report
Small group learning in online discussions: staying in your own backyard or peering over the garden fence?
Continuous improvement through shared understanding: reconceptualising instructional design for online learning
Disseminating innovation and best practice in ICT education: the ICT-ed-database
A question of balance: using self and peer assessment effectively in teamwork
Remote controlled experiments for teaching over the internet: a comparision of approaches developed in the pearl project
Drowning in information: evaluating web-mediated collaborative learning
Desktop IP videoconferencing as an effective tool for online delivery
Analysis of the moving image online using a web-based question system
Boundary crossing in a communicty of communities of practice
Reeling in D.E. students: equitable professional development for it students through CMC
Creating new learning environments off campus in the faculty of arts: what impact ono teaching and learning on campus?
Using java aplets to help make online assessment interactive
Practical learning supports for lecturers and students new to WEBCT and online delivery
Professional development for flexible learning and teaching: a comparative analysis of LEARNSCOPE , 2001 - 2002
Overcoming computer anxiety through reflection on attribution
The use of a large interactive display surface (lids) prototype in graphic design teaching
Implementation of a learning management system using an integrated approach to professional development
Multiple perspective and theoretical dialogue in learning technology
A review of the technologies application programme - perspectives on teaching and learning
Creating online discursive spaces that legitimate alternative ways of knowing
Use of online and offline formative and summative assessment opportunities: have they had any impact on student learning?
How to manage the widespread use of learning technology: managed learning environments
Evaluating a multimedia-based tool for self-learning geographic information systems
Ferl - a national resource for information learning technology
Winds of Changing in the Sea of Learning, Proceedings of the 19th Annual Conference of the Australian Society for Computers in Tertiary Education (ASCILITE), Auckland, New Zealand, 8-11 December 2002
Transparent teleteaching
Trying something different in training: tip
From face-to-face teaching to online distance education classes: some challenges and surprises
Anoraks to the rescue
Fostering online learning communities through instructor networking
The implementation of a university-wide electronic reflective journal to facilitate the development of core skills
Design tools for e-learning
The plagiarism problem: are students entirely to blame?
A secondment mechanism for enhancing the use of learning technology
Design principles for authoring dynamic, reusable learning objects
Using the internet to provide authentic professional development for beginning teachers
Designing culturally sensitive learning environments
The filter generic image dataset: a model for the creation of image-based learning & teaching resources
Developing informal reasoning skills in ill-structured environments. A case study into problem-solving strategies
A judicious mix of technology and teachers: online teaching of critical thinking in legal education
Evaluating online teaching: a portfolio approach
Collaborative staff development across a diverse organisation
Taking the community for a ride
"Full steam ahead": managing the learning environment of an Australiawide research training program in the earth and environmental sciences
Visual mapping: a tool for design, development and communication in the development of IT-rich learning environments
Generic skills development: integrating ICT in professional preparation
Support online teaching: bring pedagogical, technological and organisational aspects together
Embedding online reflection activities into curriculum: considerations in indigeneous health practice
"Why swallow the silicon snake oil?" mainstreaming online learning in teacher education
Reflections on the colis (collaborative online learning and information systems) demonstrator project and the "learning object lifecycle"
Online discussion boards - friend or foe?
Implementing compouter conferencing into a seminar course to facilitate discussions with pre-service and first year teachers
Widening the gap online: a case study
Teacher assessment of computer-mediated discussions
An evaluation of student learning in a web-supported unit on plant diversity
Are we there yet? It graduates - bauhaus style
Development of a quality assurance system for e-learning projects
Our use of characters
A team-based approach to the production of online courseware (case study)
Keeping an anchor watch: industry partnership a basis for learning
Designing learning activities from learning objects
Open online assessment: keeping the tutors honest!
A tool to evalutate the potential for an ict-based learning design to foster "high-quality learning"
When technology, teaching and evaluation intersect ethical dilemmas arise: student evaluation of online teaching
Piloting the use of ICTS in the school setting: lessons learned
Encouraging research into on-line learning and assessment
Cecil: the first web-based LMS
Visual literacy: what is it and do we need it to use learning technologies effectively?
Dialog on: online learning and social dialogue in the european trade union sector
In at the deep end -swapping roles through staff development online
Using a database web survey to manage student feedback about courses: building a learning community around quality
Using the enhanced problem-based learning grid: three multimedia case studies
Integrating national initiatives and local developments: streaming video to support nurse education in the UK
Trends, fads, and futures: computers in learning in tertiary education, 1983-2002
Sailing into uncharted waters - the impact of new media use on education
Addressing the digital divide between nursing practice and education using a personal digital assistant (PDA)
Management of e-learning budgets in New Zealand
Rethinking assessment through learning technologies
A powerful virtual learning environment
The wiced® way
Towards an approximation of life - artificial intelligence in games development
Design for a culturally affirming indigenous computer literacy course
Bringing it all together: the Edinburgh student portal
Surveyor: A case study of a web-based survey tool for academics
Storm clouds on the digital education horizon
Cost-effective development and delivery of 100% online I. T. courses
Six months in a leaky boat: framing the knowledge and skills needed to teach well online
It is an inertia thing, no-one uses it, so no-one uses it: the failure of a virtual social space (vss) intended to create a learning community
Addressing different cognitive levels for on-line learning
Navigating econtent
Patterns of engagement in authentic online learning environments
A model for the implementation and sustainability of a course management system in a research university
ELP - a web envrionment for learning to program
Developing an instructional design strategy to support generic skills development
Issues arising from an online resource-based learning approach in first year psychology
Mental models of teaching and learning with the www
Charting the role of the online teacher in higher education: winds of change
A path or a map?
Flexible learning: how can we get there from here?
Ensuring high quality thinking and scaffolding learning in an online world
Do students need, use, like and want an on-line health psychology course?
The contribution of 3D environments to conceptual understanding
Genuine thinking or random button pressing? self-assessment design in computer-based learning materials
A voyage of discovery - developing an online learning program for cross-cultural awareness
Using online learning to enable reflection upon authentic tasks
An educational design plan for professional develpment about online learning and teaching: scarie!
Data Science in the Business Environment: Skills Analytics for Curriculum Development
Adapted Random Survival Forest for Histograms to Analyze NOx Sensor Failure in Heavy Trucks
Neural Network Based Drift Detection
Who Accepts Information Measures?
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II
Public Transport Arrival Time Prediction Based on GTFS Data
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks
Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods
Adaptive Dimensionality Reduction in Multiobjective Optimization with Multiextremal Criteria
A Framework for Imbalanced Time-Series Forecasting
Heaviest and Densest Subgraph Computation for Binary Classification. A Case Study
Policy Feedback in Deep Reinforcement Learning to Exploit Expert Knowledge
MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models
Aspects and Views on Responsible Artificial Intelligence
A Bayesian Network Model for Fire Assessment and Prediction
Statistical Estimation of Quantization for Probability Distributions: Best Equivariant Estimator of Principal Points
Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Parameter Optimization of Polynomial Kernel SVM from miniCV
A Chained Neural Network Model for Photovoltaic Power Forecast
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
Genetic Programming with Synthetic Data for Interpretable Regression Modelling and Limited Data
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool
Multi-kernel Covariance Terms in Multi-output Support Vector Machines
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part III
Lagrangian Relaxation Bounds for a Production-Inventory-Routing Problem
Multi-objective Genetic Algorithm for Interior Lighting Design
Supervised Learning Approach for Surface-Mount Device Production
Lottery Ticket Hypothesis: Placing the k-orrect Bets
KAFE: Knowledge and Frequency Adapted Embeddings
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
Accelerated Graph Integration with Approximation of Combining Parameters
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features
Using Clustering for Supervised Feature Selection to Detect Relevant Features
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch
Estimating Change Intensity and Duration in Human Activity Recognition Using Martingales
Breast Cancer's Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations
Method for Generating Explainable Deep Learning Models in the Context of Air Traffic Management
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
Designing an Optimal and Resilient iBGP Overlay with Extended ORRTD
Predicting Psychological Well-being in HCP Young Adult Cohort Using Random Forests Regression and SHAP with NIHTB Emotion Battery
Neural Learning of Heuristic Functions for General Game Playing
Weight-Varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study
Inference of Gene Regulatory Network Based on Radial Basis Function Neural Network
On the Reliability of Dynamical Stochastic Binary Systems
Tiny Long-Short Term Memory Model for Resource-Constrained Prediction of Battery Cycle Life
Solving Two-Stage Stochastic Programming Problems via Machine Learning
Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits Data
Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison
Gaussian Process Interpolation with Conformal Prediction: Methods and Comparative Analysis
Machine Learning and Statistical Models for the Prevalence of Multiple Sclerosis
Training Artificial Neural Networks with Gradient and Coarse-Level Correction Schemes
Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition
Corporate Network Analysis Based on Graph Learning
Machine Learning Application to Family Business Status Classification
Robust Reinforcement Learning with a Stochastic Value Function
Evaluation of Selected Autoencoders in the Context of End-User Experience Management
Average Performance Analysis of the Stochastic Gradient Method for Online PCA
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping
A 3D Terrain Generator: Enhancing Robotics Simulations with GANs
ProSPs: Protein Sites Prediction Based on Sequence Fragments
GRASP Heuristics for a Generalized Capacitated Ring Tree Problem
AbstractNet: A Generative Model for High Density Inputs
"It Looks All the Same to Me": Cross-Index Training for Long-Term Financial Series Prediction
Forecasting Daily Cash Flows in a Company - Shortcoming in the Research Field and Solution Exploration
Adaptive Targeting for Online Advertisement
Gradient Bias to Solve the Generalization Limit of Genetic Algorithms Through Hybridization with Reinforcement Learning
About Generative Aspects of Variational Autoencoders
Tree-Based Credit Card Fraud Detection Using Isolation Forest, Spectral Residual, and Knowledge Graph
Understanding Production Process Productivity in the Glass Container Industry: A Big Data Approach
Exploring Deep Learning Models for EEG Neural Decoding
Health Change Detection Using Temporal Transductive Learning
Hyperparameter Tuning of Random Forests Using Radial Basis Function Models
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning
Smart Pruning of Deep Neural Networks Using Curve Fitting and Evolution of Weights
Inference and De-noising of Non-gaussian Particle Distribution Functions: A Generative Modeling Approach
Node-Immunization Strategies in a Stochastic Epidemic Model
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports
Data-Driven Job Dispatching in HPC Systems
Combining Genetic Algorithm with the Multilevel Paradigm for the Maximum Constraint Satisfaction Problem
Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations
Quantitative and Ontology-Based Comparison of Explanations for Image Classification
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations
BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks
Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays
On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals
Evaluation of Document Deduplication Algorithms for Large Text Corpora
High-Dimensional Constrained Discrete Multi-objective Optimization Using Surrogates
Multi-Asset Market Making via Multi-Task Deep Reinforcement Learning
A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural Areas
Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks
Social Media Analysis: The Relationship Between Private Investors and Stock Price
Honey Yield Forecast Using Radial Basis Functions
Tree-Based Response Surface Analysis
Investigating on Gradient Regularization for Testing Neural Networks
Normalization in Motif Discovery
The Price of Data Processing: Impact on Predictive Model Performance
Co-imagination of Behaviour and Morphology of Agents
Geospatial Dimension in Association Rule Mining: The Case Study of the Amazon Charcoal Tree
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I
Sensitivity Analysis for Feature Importance in Predicting Alzheimer's Disease
Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders
Audio Visual Association Test in Non Synesthetic Subjects: Technological Tailoring of the Methods
INVISIONS: Innovative Neuromorphic Vision Sensors in Real-Scenarios
Deep Neural Network Ensembles
Effect of Market Spread Over Reinforcement Learning Based Market Maker
Best Practices in Flux Sampling of Constrained-Based Models
A Branch-and-Cut Algorithm for a Multi-item Inventory Distribution Problem
A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs
Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part II
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces
Digital Twins: Modelling Languages Comparison
Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits
Dynamic Detection of Transportation Modes Using Keypoint Prediction
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I
Exploring Image Transformations with Diffusion Models: A Survey of Applications and Implementation Code
Designing Ships Using Constrained Multi-objective Efficient Global Optimization
Protein Sequence Generation Using Denoising Probabilistic Diffusion Model
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions
Active Matrix Completion for Algorithm Selection
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features
Cross-Metapath Based Hashing for Recommendation Systems
Post-Treatment Gait Prediction After Botulinum Toxin Injections Using Deep Learning with an Attention Mechanism
Automatic Classification of Low-Angle Fuze-Quick Craters Using Deep Learning
Evaluating Hebbian Learning in a Semi-supervised Setting
Action-Conditioned Frame Prediction Without Discriminator
Global Optimization with Sparse and Local Gaussian Process Models
Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets
Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers
Improving Support Vector Machines Performance Using Local Search
PointerKex: A Pointer-Based SSH Key Extraction Method
Flocking Method for Identifying of Neural Circuits in Optogenetic Datasets
Ant Colony Optimization for Markov Blanket-Based Feature Selection. Application for Precision Medicine
Text Mining with Constrained Tensor Decomposition
Addressing the Permutation Flowshop Scheduling with Grey Wolf Optimizer
Using Statistical and Artificial Neural Networks Meta-learning Approaches for Uncertainty Isolation in Face Recognition by the Established Convolutional Models
Path-Weight-Based Pruning and SHAP-Based Explanations of an ANN with fMRI Data
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II
An Adaptive Classification Framework for Unsupervised Model Updating in Nonstationary Environments
On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques
Predatory Conversation Detection Using Transfer Learning Approach
On Principal Component Analysis of the Convex Combination of Two Data Matrices and Its Application to Acoustic Metamaterial Filters
On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma
Reliable Solution of Multidimensional Stochastic Problems Using Metamodels
Hyperbolic Graph Codebooks
A Large Visual Question Answering Dataset for Cultural Heritage
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs
Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization
Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance
ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization
Mineral: Multi-modal Network Representation Learning
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-linear Bayesian Regression Approach
XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks
Feature Based Multivariate Data Imputation
Predicting University Dropout Rates Using Machine Learning: UniCt Case
Graph Fragmentation Problem for Natural Disaster Management
Distilling Financial Models by Symbolic Regression
A GRASP/VND Heuristic for the Max Cut-Clique Problem
Univariate Time Series Anomaly Labelling Algorithm
Methods for Hyperparameters Optimization in Learning Approaches: An Overview
Sample-Based Rule Extraction for Explainable Reinforcement Learning
A Bee Colony Optimization Approach for the Electric Vehicle Routing Problem with Drones
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis
Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?
Step Down and Step Up Statistical Procedures for Stock Selection with Sharp Ratio
Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning
Estimating the F 1 Score for Learning from Positive and Unlabeled Examples
A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space
Hybrid Human-AI Forecasting for Task Duration Estimation in Ship Refit
Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model
Detecting Anomalies in Marine Data: A Framework for Time Series Analysis
Discovering Travelers' Purchasing Behavior from Public Transport Data
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
Pareto-Weighted-Sum-Tuning: Learning-to-Rank for Pareto Optimization Problems
Intent Recognition in a Simulated Maritime Multi-agent Domain
Deep Learning in a Bilateral Brain with Hemispheric Specialisation
Information-Theoretic Feature Selection Using High-Order Interactions
Enhancing Cluster-Based Topic Models Through Parametric Dimensionality Reduction with Transformer-Encoders
Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes
Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models
Topological Layering of Mouse Brain Activity in Light-Sheet Microscopy Datasets
A Machine Learning Approach for Line Outage Identification in Power Systems
A Blocking Strategy for Ranking Features According to Probabilistic Relevance
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety