Konstantinos N. Plataniotis

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Viewing Publication 1 - 100 from 459

2024

Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Ming Hou 0002, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis. adhoc, 157:103436, 2024. [doi]

CLSA: Contrastive-Learning-Based Survival Analysis for Popularity Prediction in MEC NetworksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Jamshid Abouei, Konstantinos N. Plataniotis. iotj, 11(4):6352-6367, February 2024. [doi]

Leveraging Electric Network Frequency Estimation for Audio AuthenticationChristos Korgialas, Constantine Kotropoulos, Konstantinos N. Plataniotis. access, 12:9308-9320, 2024. [doi]

Test-Time Personalization with Meta Prompt for Gaze EstimationHuan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu. AAAI 2024: 3621-3629 [doi]

Recurrent neural network and federated learning based channel estimation approach in mmWave massive MIMO systemsSajjad Shahabodini, Mobina Mansoori, Jamshid Abouei, Konstantinos N. Plataniotis. ett, 35(1), January 2024. [doi]

Test-Time Domain Adaptation by Learning Domain-Aware Batch NormalizationYanan Wu, Zhixiang Chi, Yang Wang 0003, Konstantinos N. Plataniotis, Songhe Feng. AAAI 2024: 15961-15969 [doi]

2023

The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematicsYingxu Wang 0001, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk. fcomp, 5, 2023. [doi]

Pseudo-Inverted Bottleneck Convolution for Darts Search SpaceArash Ahmadian, Louis S. P. Liu, Yue Fei, Konstantinos N. Plataniotis, Mahdi S. Hosseini. icassp 2023: 1-5 [doi]

Multi-Model Federated Learning Optimization Based on Multi-Agent Reinforcement LearningS. Kaveh Atapour, Seyed Jamal Seyed-Mohammadi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Arash Mohammadi 0001, Konstantinos N. Plataniotis. camsap 2023: 151-155 [doi]

Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive HealthcareMarc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis. tcss, 10(4):1732-1741, August 2023. [doi]

DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia DetectionAngelo Genovese, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti. access, 11:65222-65237, 2023. [doi]

CoPo: Self-supervised Contrastive Learning for Popularity Prediction in MEC NetworksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Jamshid Abouei, Konstantinos N. Plataniotis. icdsp 2023: 1-5 [doi]

ViT-Cat: Parallel Vision Transformers With Cross Attention Fusion for Popularity Prediction in MEC NetworksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Ming Hou 0002, Jamshid Abouei, Konstantinos N. Plataniotis. icassp 2023: 1-5 [doi]

Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy PredictionSadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. icassp 2023: 1-5 [doi]

Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness PredictionSadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. icdsp 2023: 1-5 [doi]

Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆Parvin Malekzadeh, Ming Hou 0002, Konstantinos N. Plataniotis. ijon, 530:165-187, April 2023. [doi]

A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory UncertaintyParvin Malekzadeh, Ming Hou 0002, Konstantinos N. Plataniotis. icassp 2023: 1-5 [doi]

A Conformal Leaky-Wave Antenna Design for IoMT-Based WBANsNasser Montaseri, Zeynab Khodkar, Jamshid Abouei, William G. Whittow, Konstantinos N. Plataniotis. access, 11:46719-46733, 2023. [doi]

Distillation and Ordinary Federated Learning Actor-Critic Algorithms in Heterogeneous UAV-Aided NetworksMaedeh Nasr-Azadani, Jamshid Abouei, Konstantinos N. Plataniotis. access, 11:44205-44220, 2023. [doi]

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB ImagesPai Chet Ng, Zhixiang Chi, Yannick Verdie, Juwei Lu, Konstantinos N. Plataniotis. nips 2023: [doi]

A Kernel Method to Nonlinear Location Estimation With RSS-Based FingerprintPai Chet Ng, Petros Spachos, James She, Konstantinos N. Plataniotis. tmc, 22(8):4388-4404, August 2023. [doi]

Multi-UAV Placement and User Association in Uplink MIMO Ultra-Dense Wireless NetworksNima Nouri, Fahimeh Fazel, Jamshid Abouei, Konstantinos N. Plataniotis. tmc, 22(3):1615-1632, March 2023. [doi]

Graph Federated Learning for CIoT Devices in Smart Home ApplicationsArash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Konstantinos N. Plataniotis. iotj, 10(8, April 15):7062-7079, 2023. [doi]

Editorial: Deep neural computing for advanced automotive system applicationsFrancesco Rundo, Sabrina Conoci, Sebastiano Battiato, Carmelo Pino, Massimo Villari, Angelo Genovese, Stefanos D. Kollias, Konstantinos N. Plataniotis. fcomp, 5, 2023. [doi]

DataDAM: Efficient Dataset Distillation with Attention MatchingAhmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis. iccv 2023: 17051-17061 [doi]

A New Probabilistic Distance Metric with Application in Gaussian Mixture ReductionAhmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis. icassp 2023: 1-5 [doi]

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular DataJinhong Wu, Konstantinos N. Plataniotis, Lucy Liu, Ehsan Amjadian, Yuri A. Lawryshyn. algorithms, 16(2):121, February 2023. [doi]

Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine LearningLili Zhu, Petros Spachos, Pai Chet Ng, Yuanhao Yu, Yang Wang 0003, Konstantinos N. Plataniotis, Dimitrios Hatzinakos. titb, 27(5):2155-2165, May 2023. [doi]

2022

Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22)Yingxu Wang 0001, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, Konstantinos N. Plataniotis, Ling Guan, Petros Spachos. IEEEicci 2022: 258-267 [doi]

Fault-Tolerant Periodic Event-Triggered Consensus Under Communication Delay and Multiple AttacksAmir Amini, Arash Mohammadi 0001, Amir Asif, Ming Hou 0002, Konstantinos N. Plataniotis. sj, 16(4):6338-6349, 2022. [doi]

Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber AttacksAmir Amini, Mohsen Ghafouri, Arash Mohammadi 0001, Ming Hou 0002, Amir Asif, Konstantinos N. Plataniotis. tsg, 13(4):3188-3202, 2022. [doi]

A Q-Learning Approach for Real-Time NOMA Scheduling of Medical Data in UAV-Aided WBANsZeinab Askari, Jamshid Abouei, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis. access, 10:115074-115091, 2022. [doi]

Public-Key Reinforced Blockchain Platform for Fog-IoT Network System AdministrationMarc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis. iotj, 9(22):22366-22374, 2022. [doi]

Secure Throughput Optimization for Cache-Enabled Multi-UAVs NetworksFahimeh Fazel, Jamshid Abouei, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis. iotj, 9(10):7783-7801, 2022. [doi]

Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular NetworksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Jamshid Abouei, Ming Hou 0002, Konstantinos N. Plataniotis. iotj, 9(13):11098-11114, 2022. [doi]

DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node SelectionZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Ming Hou 0002, Konstantinos N. Plataniotis. tsp, 70:2532-2547, 2022. [doi]

TEDGE-Caching: Transformer-based Edge Caching Towards 6G NetworksZohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis. icc 2022: 613-618 [doi]

Exploiting Explainable Metrics for Augmented SGDMahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis. cvpr 2022: 10286-10296 [doi]

Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity RecognitionDae-Yon Hwang, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis. icassp 2022: 21-25 [doi]

AKF-SR: Adaptive Kalman filtering-based successor representationParvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi 0001, Konstantinos N. Plataniotis. ijon, 467:476-490, 2022. [doi]

Relaying Data With Joint Optimization of Energy and Delay in Cluster-Based UAV-Assisted VANETsSomayeh Mokhtari, Nima Nouri, Jamshid Abouei, Avid Avokh, Konstantinos N. Plataniotis. iotj, 9(23):24541-24559, 2022. [doi]

Single- and Multiagent Actor-Critic for Initial UAV's Deployment and 3-D Trajectory DesignMaedeh Nasr-Azadani, Jamshid Abouei, Konstantinos N. Plataniotis. iotj, 9(16):15372-15389, 2022. [doi]

Efficient Hyperspectral Reconstruction from RGB Images with Line-Pixel DeconvolutionPai Chet Ng, Yannick Verdie, Juwei Lu, Konstantinos N. Plataniotis. ivmsp 2022: 1-5 [doi]

Epidemic Exposure Tracking With Wearables: A Machine Learning Approach to Contact TracingPai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis. access, 10:14134-14148, 2022. [doi]

Three-Dimensional Multi-UAV Placement and Resource Allocation for Energy-Efficient IoT CommunicationNima Nouri, Jamshid Abouei, Ali Reza Sepasian, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis. iotj, 9(3):2134-2152, 2022. [doi]

Subclass Knowledge Distillation with Known Subclass LabelsAhmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis. ivmsp 2022: 1-5 [doi]

Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor RepresentationMohammad Salimibeni, Arash Mohammadi 0001, Parvin Malekzadeh, Konstantinos N. Plataniotis. sensors, 22(4):1393, 2022. [doi]

Communication-Efficient Federated Learning for Hybrid VLC/RF Indoor SystemsSeyed Mohammad Sheikholeslami, Arash Rasti-Meymandi, Seyed Jamal Seyed-Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis. access, 10:126479-126493, 2022. [doi]

Networking Systems of AI: On the Convergence of Computing and CommunicationsLiang Song, Xing Hu 0006, Guanhua Zhang, Petros Spachos, Konstantinos N. Plataniotis, Hequan Wu. iotj, 9(20):20352-20381, 2022. [doi]

Surprise Minimizing Multi-Agent Learning with Energy-based ModelsKarush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn. nips 2022: [doi]

An intrinsically motivated learning algorithm based on Bayesian surprise for cognitive radar in autonomous vehiclesYeganeh Zamiri-Jafarian, Ming Hou 0002, Konstantinos N. Plataniotis. fcomp, 4, 2022. [doi]

A Bayesian Surprise Approach in Designing Cognitive Radar for Autonomous DrivingYeganeh Zamiri-Jafarian, Konstantinos N. Plataniotis. entropy, 24(5):672, 2022. [doi]

Histokt: Cross Knowledge Transfer in Computational PathologyRyan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis. icassp 2022: 1276-1280 [doi]

A Fusion of Wavelet-based and Unsupervised Machine Learning Method for Artifacts Removal in Electrodermal Activity SignalLili Zhu, Petros Spachos, Konstantinos N. Plataniotis. acssc 2022: 455-459 [doi]

Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable DevicesLili Zhu, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis. icc 2022: 4800-4805 [doi]

2021

Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applicationsArash Mohammadi 0001, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Rodrigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis. spm, 38(5):37-66, 2021. [doi]

MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy predictionParnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi 0001, Konstantinos N. Plataniotis. PR, 116:107942, 2021. [doi]

Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic DataParnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. icip 2021: 180-184 [doi]

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image DomainsLyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis. ijcv, 129(2):361-384, 2021. [doi]

Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]Dario Farina, Arash Mohammadi 0001, Tülay Adali, Nitish V. Thakor, Konstantinos N. Plataniotis. spm, 38(4):5-7, 2021. [doi]

Reconsidering CO2 Emissions From Computer VisionAndre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis. cvpr 2021: 2311-2317 [doi]

Acute Lymphoblastic Leukemia Detection Based on Adaptive Unsharpening and Deep LearningAngelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti. icassp 2021: 1205-1209 [doi]

Histopathological Transfer Learning for Acute Lymphoblastic Leukemia DetectionAngelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti. civemsa 2021: 1-6 [doi]

Bluetooth Low Energy and CNN-Based Angle of Arrival Localization in Presence of Rayleigh FadingZohreh Hajiakhondi-Meybodi, Mohammad Salimibeni, Arash Mohammadi 0001, Konstantinos N. Plataniotis. icassp 2021: 7913-7917 [doi]

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT ScansShahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, Seyed Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. frai, 4:598932, 2021. [doi]

Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule NetworksShahin Heidarian, Parnian Afshar, Arash Mohammadi 0001, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani. icassp 2021: 1040-1044 [doi]

CONet: Channel Optimization for Convolutional Neural NetworksMahdi S. Hosseini, Jia-Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis. iccvw 2021: 326-335 [doi]

In Search of Probeable Generalization MeasuresJonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis. icmla 2021: 1106-1111 [doi]

Smartphone-Based Wellness Assessment Using Mobile Environmental SensorsKatherine McLeod, Petros Spachos, Konstantinos N. Plataniotis. sj, 15(2):1989-1999, 2021. [doi]

COVID-19 and Your Smartphone: BLE-Based Smart Contact TracingPai Chet Ng, Petros Spachos, Konstantinos N. Plataniotis. sj, 15(4):5367-5378, 2021. [doi]

Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis. cm, 59(9):24-29, 2021. [doi]

Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor RepresentationsMohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi 0001, Petros Spachos, Konstantinos N. Plataniotis. icassp 2021: 8037-8041 [doi]

Streaming Compression Multimedia Data over WMSNs based on Fairness Cluster-based Routing ProtocolBahar Sarhadi, Jamshid Abouei, Zohreh Hajiakhondi-Meybodi, Arash Mohammadi 0001, Konstantinos N. Plataniotis. SMC 2021: 661-666 [doi]

SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal RecognitionSam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis. iccvw 2021: 4141-4150 [doi]

Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based ScoringSam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim. icassp 2021: 1775-1779 [doi]

Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature AggregationSam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae. AAAI 2021: 11639-11647 [doi]

Sub-Decimeter VLC 3D Indoor Localization With Handover Probability AnalysisSeyed Mohammad Sheikholeslami, Fahimeh Fazel, Jamshid Abouei, Konstantinos N. Plataniotis. access, 9:122236-122253, 2021. [doi]

Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural NetworksMahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim. icassp 2021: 1715-1719 [doi]

Probeable DARTS with Application to Computational PathologySheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang 0001. iccvw 2021: 572-581 [doi]

Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciencesYingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic. ieeejas, 8(1):52-63, 2021. [doi]

CONetV2: Efficient Auto-Channel Size Optimization for CNNsYi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis. icmla 2021: 998-1003 [doi]

2020

BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule NetworksParnian Afshar, Arash Mohammadi 0001, Konstantinos N. Plataniotis. spl, 27:2024-2028, 2020. [doi]

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray imagesParnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. prl, 138:638-643, 2020. [doi]

MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary MalignanciesParnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi 0001. icassp 2020: 2013-2017 [doi]

BoostCaps: A Boosted Capsule Network for Brain Tumor ClassificationParnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi 0001. embc 2020: 1075-1079 [doi]

Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE SensorsMohammadamin Atashi, Parvin Malekzadeh, Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Konstantinos N. Plataniotis, Arash Mohammadi 0001. eusipco 2020: 1702-1706 [doi]

All at Once: Temporally Adaptive Multi-frame Interpolation with Advanced Motion ModelingZhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N. Plataniotis. eccv 2020: 107-123 [doi]

Bluetooth Low Energy-based Angle of Arrival Estimation via Switch Antenna Array for Indoor LocalizationZohreh Hajiakhondi-Meybodi, Mohammad Salimibeni, Konstantinos N. Plataniotis, Arash Mohammadi 0001. fusion 2020: 1-6 [doi]

Bluetooth Low Energy-based Angle of Arrival Estimation in Presence of Rayleigh FadingZohreh Hajiakhondi-Meybodi, Mohammad Salimibeni, Arash Mohammadi 0001, Konstantinos N. Plataniotis. SMC 2020: 3395-3400 [doi]

Convolutional Deblurring for Natural ImagingMahdi S. Hosseini, Konstantinos N. Plataniotis. TIP, 29:250-264, 2020. [doi]

On Transferability of Histological Tissue Labels in Computational PathologyMahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis. eccv 2020: 453-469 [doi]

Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital PathologyMahdi S. Hosseini, Jasper A. Z. Brawley-Hayes, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Savvas Damaskinos. tmi, 39(1):62-74, 2020. [doi]

Stain Style Transfer of Histopathology Images via Structure-Preserved Generative LearningHanwen Liang, Konstantinos N. Plataniotis, Xingyu Li. miccai 2020: 153-162 [doi]

MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement LearningParvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi 0001, Akbar Assa, Konstantinos N. Plataniotis. access, 8:128716-128729, 2020. [doi]

Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein DistanceParvin Malekzadeh, Shervin Mehryar, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi 0001. icassp 2020: 9046-9050 [doi]

Distributed Hybrid Kalman Temporal Differences for Reinforcement LearningMohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi 0001, Konstantinos N. Plataniotis. acssc 2020: 579-583 [doi]

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/TrackingMohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Parvin Malekzadeh, Mohammadamin Atashi, Konstantinos N. Plataniotis, Arash Mohammadi 0001. eusipco 2020: 1697-1701 [doi]

BLE Beacons for Indoor Positioning at an Interactive IoT-Based Smart MuseumPetros Spachos, Konstantinos N. Plataniotis. sj, 14(3):3483-3493, 2020. [doi]

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital PathologyZhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang. miccai 2020: 403-413 [doi]

Bayesian Surprise in Linear Gaussian Dynamic Systems: Revisiting State EstimationYeganeh Zamiri-Jafarian, Konstantinos N. Plataniotis. SMC 2020: 3387-3394 [doi]

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