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07/08/2023
End-to-End Supervised Multilabel Contrastive Learning
Multilabel representation learning is recognized as a challenging proble...
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06/12/2023
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction
This paper presents a new distance metric to compare two continuous prob...
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04/11/2023
Computational Pathology: A Survey Review and The Way Forward
Computational Pathology (CoPath) is an interdisciplinary science that au...
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03/21/2023
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks
Mobile Edge Caching (MEC) integrated with Deep Neural Networks (DNNs) is...
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12/31/2022
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Differentiable Architecture Search (DARTS) has attracted considerable at...
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12/29/2022
Graph Federated Learning for CIoT Devices in Smart Home Applications
This paper deals with the problem of statistical and system heterogeneit...
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12/15/2022
Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability
Reinforcement learning (RL) gained considerable attention by creating de...
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10/27/2022
ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks
Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Ge...
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10/12/2022
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved...
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07/25/2022
Error-Aware Spatial Ensembles for Video Frame Interpolation
Video frame interpolation (VFI) algorithms have improved considerably in...
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07/17/2022
Subclass Knowledge Distillation with Known Subclass Labels
This work introduces a novel knowledge distillation framework for classi...
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04/07/2022
A Kernel Method to Nonlinear Location Estimation with RSS-based Fingerprint
This paper presents a nonlinear location estimation to infer the positio...
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03/31/2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation
Recent studies in neuroscience suggest that Successor Representation (SR...
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03/31/2022
Exploiting Explainable Metrics for Augmented SGD
Explaining the generalization characteristics of deep learning is an eme...
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01/27/2022
HistoKT: Cross Knowledge Transfer in Computational Pathology
The lack of well-annotated datasets in computational pathology (CPath) o...
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12/30/2021
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation
Distributed Multi-Agent Reinforcement Learning (MARL) algorithms has att...
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12/01/2021
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks
As a consequence of the COVID-19 pandemic, the demand for telecommunicat...
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11/28/2021
P4AI: Approaching AI Ethics through Principlism
The field of computer vision is rapidly evolving, particularly in the co...
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11/28/2021
NoFADE: Analyzing Diminishing Returns on CO2 Investment
Climate change continues to be a pressing issue that currently affects s...
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11/28/2021
Towards Robust and Automatic Hyper-Parameter Tunning
The task of hyper-parameter optimization (HPO) is burdened with heavy co...
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10/23/2021
In Search of Probeable Generalization Measures
Understanding the generalization behaviour of deep neural networks is a ...
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10/17/2021
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans
Lung cancer is the leading cause of mortality from cancer worldwide and ...
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10/13/2021
CONetV2: Efficient Auto-Channel Size Optimization for CNNs
Neural Architecture Search (NAS) has been pivotal in finding optimal net...
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09/19/2021
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
The objective of this study is to develop a robust deep learning-based f...
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09/12/2021
On the Efficiency of Subclass Knowledge Distillation in Classification Tasks
This work introduces a novel knowledge distillation framework for classi...
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08/24/2021
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection
Recent advancements in Internet of Things (IoTs) have brought about a su...
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08/16/2021
Probeable DARTS with Application to Computational Pathology
AI technology has made remarkable achievements in computational patholog...
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08/15/2021
CONet: Channel Optimization for Convolutional Neural Networks
Neural Architecture Search (NAS) has shifted network design from using h...
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07/04/2021
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans
Novel Coronavirus disease (COVID-19) is a highly contagious respiratory ...
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05/31/2021
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network
Reverse transcription-polymerase chain reaction (RT-PCR) is currently th...
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04/18/2021
Reconsidering CO2 emissions from Computer Vision
Climate change is a pressing issue that is currently affecting and will ...
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02/15/2021
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring
Visualizing the features captured by Convolutional Neural Networks (CNNs...
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02/15/2021
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks
Explainable AI (XAI) is an active research area to interpret a neural ne...
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02/11/2021
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
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12/28/2020
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
The novel Coronavirus disease, COVID-19, has rapidly and abruptly change...
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10/30/2020
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
The global outbreak of the novel corona virus (COVID-19) disease has dra...
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10/30/2020
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
The newly discovered Corona virus Disease 2019 (COVID-19) has been globa...
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09/28/2020
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 c...
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08/13/2020
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction
Lung diseases including infections such as Pneumonia, Tuberculosis, and ...
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07/24/2020
Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning
Advances in Reinforcement Learning (RL) have successfully tackled sample...
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07/24/2020
Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
Computational histopathology image diagnosis becomes increasingly popula...
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07/23/2020
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Recent advances in high refresh rate displays as well as the increased i...
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07/11/2020
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology
Out-of-focus microscopy lens in digital pathology is a critical bottlene...
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06/11/2020
AdaS: Adaptive Scheduling of Stochastic Gradients
The choice of step-size used in Stochastic Gradient Descent (SGD) optimi...
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05/30/2020
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning
There has been an increasing surge of interest on development of advance...
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04/24/2020
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?
Deep learning has achieved a great success in natural image classificati...
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04/06/2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Novel Coronavirus disease (COVID-19) has abruptly and undoubtedly change...
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01/21/2020
BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart Museum
The Internet of Things (IoT) can enable smart infrastructures to provide...
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01/20/2020
Smart Parking System Based on Bluetooth Low Energy Beacons with Particle Filtering
Urban centers and dense populations are expanding, hence, there is a gro...
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12/24/2019
