AIMC Topic: Empirical Research

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Understanding calibration of deep neural networks for medical image classification.

Computer methods and programs in biomedicine Sep 22, 2023
Background and Objective - In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play a pivotal role in explainability by provid...
Neural Networks, Computer Calibration Rotation Empirical Research Benchmarking
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Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2023
Lifelong graph learning deals with the problem of continually adapting graph neural network (GNN) models to changes in evolving graphs. We address two critical challenges of lifelong graph learning in this work: dealing with new classes and tackling ...
Education, Continuing Empirical Research Entropy Neural Networks, Computer
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A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler.

Sensors (Basel, Switzerland) Dec 17, 2022
The need to overcome the challenges of visual inspections conducted by domain experts drives the recent surge in visual inspection research. Typical manual industrial data analysis and inspection for defects conducted by trained personnel are expensi...
Data Analysis Empirical Research Intelligence Industry Deep Learning
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An Ensemble Approach to Predict Early-Stage Diabetes Risk Using Machine Learning: An Empirical Study.

Sensors (Basel, Switzerland) Jul 13, 2022
Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and can affect various organs if left untreated. It contributes to heart disease, kidney issues, damaged nerves, damaged blood vessels, and blindness. Timely disease...
Humans Machine Learning Empirical Research Diabetes Mellitus Algorithms
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Sparking the Interest of Girls in Computer Science via Chemical Experimentation and Robotics: The Qui-Bot HO Case Study.

Sensors (Basel, Switzerland) May 13, 2022
We report a new learning approach in science and technology through the Qui-Bot HO project: a multidisciplinary and interdisciplinary project developed with the main objective of inclusively increasing interest in computer science engineering among c...
Empirical Research Child Engineering Robotics Adolescent Child, Preschool Female Humans Technology Computers
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Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes.

PloS one Nov 29, 2021
Intermittency are a common and challenging problem in demand forecasting. We introduce a new, unified framework for building probabilistic forecasting models for intermittent demand time series, which incorporates and allows to generalize existing me...
Models, Statistical Neural Networks, Computer Empirical Research Cluster Analysis Humans
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An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction.

Sensors (Basel, Switzerland) Nov 12, 2021
Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature. A major concern of ROCPDP is the distrib...
Machine Learning Empirical Research Software
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Recurrent neural network pruning using dynamical systems and iterative fine-tuning.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2021
Network pruning techniques are widely employed to reduce the memory requirements and increase the inference speed of neural networks. This work proposes a novel RNN pruning method that considers the RNN weight matrices as collections of time-evolving...
Neural Networks, Computer Empirical Research
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The Premium of Public Perceived Greenery: A Framework Using Multiscale GWR and Deep Learning.

International journal of environmental research and public health Jun 24, 2021
Population agglomeration and real estate development encroach on public green spaces, threatening human settlement equity and perceptual experience. Perceived greenery is a vital interface for residents to interact with the urban eco-environment. Nev...
Beijing Empirical Research Residence Characteristics Parks, Recreational Deep Learning Humans
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Socially Assistive Robots in Aged Care: Ethical Orientations Beyond the Care-Romantic and Technology-Deterministic Gaze.

Science and engineering ethics Mar 17, 2021
Socially Assistive Robots (SARs) are increasingly conceived as applicable tools to be used in aged care. However, the use carries many negative and positive connotations. Negative connotations come forth out of romanticized views of care practices, d...
Robotics Intuition Humans Morals Aged Empirical Research
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