Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKonstantinos N. Plataniotis
Kostas N. Plataniotis
Person information
- affiliation: University of Toronto, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j221]Maedeh Nasr-Azadani
, Jamshid Abouei, Konstantinos N. Plataniotis:
Distillation and Ordinary Federated Learning Actor-Critic Algorithms in Heterogeneous UAV-Aided Networks. IEEE Access 11: 44205-44220 (2023)- [j220]Nasser Montaseri, Zeynab Khodkar, Jamshid Abouei, William G. Whittow, Konstantinos N. Plataniotis:
A Conformal Leaky-Wave Antenna Design for IoMT-Based WBANs. IEEE Access 11: 46719-46733 (2023) - [j219]Angelo Genovese, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti:
DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia Detection. IEEE Access 11: 65222-65237 (2023) - [j218]Jinhong Wu, Konstantinos N. Plataniotis, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn:
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. Algorithms 16(2): 121 (2023) - [j217]Francesco Rundo, Sabrina Conoci, Sebastiano Battiato, Carmelo Pino, Massimo Villari, Angelo Genovese, Stefanos D. Kollias, Konstantinos N. Plataniotis:
Editorial: Deep neural computing for advanced automotive system applications. Frontiers Comput. Sci. 5 (2023) - [j216]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆. Neurocomputing 530: 165-187 (2023) - [j215]Arash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Konstantinos N. Plataniotis:
Graph Federated Learning for CIoT Devices in Smart Home Applications. IEEE Internet Things J. 10(8, April 15): 7062-7079 (2023) - [j214]Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare. IEEE Trans. Comput. Soc. Syst. 10(4): 1732-1741 (2023) - [j213]Lili Zhu, Petros Spachos, Pai Chet Ng, Yuanhao Yu, Yang Wang, Konstantinos N. Plataniotis, Dimitrios Hatzinakos:
Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning. IEEE J. Biomed. Health Informatics 27(5): 2155-2165 (2023) - [j212]Nima Nouri, Fahimeh Fazel, Jamshid Abouei, Konstantinos N. Plataniotis:
Multi-UAV Placement and User Association in Uplink MIMO Ultra-Dense Wireless Networks. IEEE Trans. Mob. Comput. 22(3): 1615-1632 (2023) - [j211]Pai Chet Ng, Petros Spachos, James She, Konstantinos N. Plataniotis:
A Kernel Method to Nonlinear Location Estimation With RSS-Based Fingerprint. IEEE Trans. Mob. Comput. 22(8): 4388-4404 (2023) - [c262]Arash Ahmadian, Louis S. P. Liu, Yue Fei, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
Pseudo-Inverted Bottleneck Convolution for Darts Search Space. ICASSP 2023: 1-5 - [c261]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Jamshid Abouei, Konstantinos N. Plataniotis:
ViT-Cat: Parallel Vision Transformers With Cross Attention Fusion for Popularity Prediction in MEC Networks. ICASSP 2023: 1-5 - [c260]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction. ICASSP 2023: 1-5 - [c259]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty. ICASSP 2023: 1-5 - [c258]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. ICASSP 2023: 1-5 - [c257]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis:
CoPo: Self-supervised Contrastive Learning for Popularity Prediction in MEC Networks. DSP 2023: 1-5 - [c256]Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Cross Attention-based Fusion of Deep and Radiomics Features for Lung Nodule Invasiveness Prediction. DSP 2023: 1-5 - [i87]Arash Ahmadian, Yue Fei, Louis S. P. Liu, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space. CoRR abs/2301.01286 (2023) - [i86]Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare. CoRR abs/2301.04511 (2023) - [i85]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis:
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks. CoRR abs/2303.12097 (2023) - [i84]Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis:
Computational Pathology: A Survey Review and The Way Forward. CoRR abs/2304.05482 (2023) - [i83]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction. CoRR abs/2306.07309 (2023) - [i82]Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
End-to-End Supervised Multilabel Contrastive Learning. CoRR abs/2307.03967 (2023) - [i81]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. CoRR abs/2310.00093 (2023) - [i80]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning. CoRR abs/2310.10818 (2023) - 2022
- [j210]Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Epidemic Exposure Tracking With Wearables: A Machine Learning Approach to Contact Tracing. IEEE Access 10: 14134-14148 (2022) - [j209]Zeinab Askari, Jamshid Abouei, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis:
A Q-Learning Approach for Real-Time NOMA Scheduling of Medical Data in UAV-Aided WBANs. IEEE Access 10: 115074-115091 (2022) - [j208]Seyed Mohammad Sheikholeslami, Arash Rasti-Meymandi, Seyed Jamal Seyed-Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis:
Communication-Efficient Federated Learning for Hybrid VLC/RF Indoor Systems. IEEE Access 10: 126479-126493 (2022) - [j207]Yeganeh Zamiri-Jafarian, Konstantinos N. Plataniotis:
A Bayesian Surprise Approach in Designing Cognitive Radar for Autonomous Driving. Entropy 24(5): 672 (2022) - [j206]Yeganeh Zamiri-Jafarian, Ming Hou, Konstantinos N. Plataniotis:
An intrinsically motivated learning algorithm based on Bayesian surprise for cognitive radar in autonomous vehicles. Frontiers Comput. Sci. 4 (2022) - [j205]Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman filtering-based successor representation. Neurocomputing 467: 476-490 (2022) - [j204]Nima Nouri, Jamshid Abouei, Ali Reza Sepasian, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis:
Three-Dimensional Multi-UAV Placement and Resource Allocation for Energy-Efficient IoT Communication. IEEE Internet Things J. 9(3): 2134-2152 (2022) - [j203]Fahimeh Fazel, Jamshid Abouei, Muhammad Jaseemuddin, Alagan Anpalagan, Konstantinos N. Plataniotis:
Secure Throughput Optimization for Cache-Enabled Multi-UAVs Networks. IEEE Internet Things J. 9(10): 7783-7801 (2022) - [j202]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Ming Hou, Konstantinos N. Plataniotis:
Joint Transmission Scheme and Coded Content Placement in Cluster-Centric UAV-Aided Cellular Networks. IEEE Internet Things J. 9(13): 11098-11114 (2022) - [j201]Maedeh Nasr-Azadani, Jamshid Abouei, Konstantinos N. Plataniotis:
Single- and Multiagent Actor-Critic for Initial UAV's Deployment and 3-D Trajectory Design. IEEE Internet Things J. 9(16): 15372-15389 (2022) - [j200]Liang Song, Xing Hu, Guanhua Zhang, Petros Spachos, Konstantinos N. Plataniotis, Hequan Wu:
Networking Systems of AI: On the Convergence of Computing and Communications. IEEE Internet Things J. 9(20): 20352-20381 (2022) - [j199]Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Public-Key Reinforced Blockchain Platform for Fog-IoT Network System Administration. IEEE Internet Things J. 9(22): 22366-22374 (2022) - [j198]Somayeh Mokhtari, Nima Nouri, Jamshid Abouei, Avid Avokh, Konstantinos N. Plataniotis:
Relaying Data With Joint Optimization of Energy and Delay in Cluster-Based UAV-Assisted VANETs. IEEE Internet Things J. 9(23): 24541-24559 (2022) - [j197]Mohammad Salimibeni, Arash Mohammadi, Parvin Malekzadeh, Konstantinos N. Plataniotis:
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation. Sensors 22(4): 1393 (2022) - [j196]Amir Amini, Arash Mohammadi, Amir Asif, Ming Hou, Konstantinos N. Plataniotis:
Fault-Tolerant Periodic Event-Triggered Consensus Under Communication Delay and Multiple Attacks. IEEE Syst. J. 16(4): 6338-6349 (2022) - [j195]Amir Amini, Mohsen Ghafouri, Arash Mohammadi, Ming Hou, Amir Asif, Konstantinos N. Plataniotis:
Secure Sampled-Data Observer-Based Control for Wind Turbine Oscillation Under Cyber Attacks. IEEE Trans. Smart Grid 13(4): 3188-3202 (2022) - [j194]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Konstantinos N. Plataniotis:
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection. IEEE Trans. Signal Process. 70: 2532-2547 (2022) - [c255]Kostas N. Plataniotis:
Are you Surprised? The Role of Contextual Surprise in Designing Autonomous Systems. ICCI*CC 2022: 3 - [c254]Yingxu Wang, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, Konstantinos N. Plataniotis, Ling Guan, Petros Spachos:
Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22). ICCI*CC 2022: 258-267 - [c253]Lili Zhu, Petros Spachos, Konstantinos N. Plataniotis:
A Fusion of Wavelet-based and Unsupervised Machine Learning Method for Artifacts Removal in Electrodermal Activity Signal. IEEECONF 2022: 455-459 - [c252]Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis:
Exploiting Explainable Metrics for Augmented SGD. CVPR 2022: 10286-10296 - [c251]Dae Yon Hwang, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition. ICASSP 2022: 21-25 - [c250]Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis:
Histokt: Cross Knowledge Transfer in Computational Pathology. ICASSP 2022: 1276-1280 - [c249]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis:
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks. ICC 2022: 613-618 - [c248]Lili Zhu, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
Feasibility Study of Stress Detection with Machine Learning through EDA from Wearable Devices. ICC 2022: 4800-4805 - [c247]Pai Chet Ng, Yannick Verdie, Juwei Lu, Konstantinos N. Plataniotis:
Efficient Hyperspectral Reconstruction from RGB Images with Line-Pixel Deconvolution. IVMSP 2022: 1-5 - [c246]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Subclass Knowledge Distillation with Known Subclass Labels. IVMSP 2022: 1-5 - [c245]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
Surprise Minimizing Multi-Agent Learning with Energy-based Models. NeurIPS 2022 - [e2]Yingxu Wang, Konstantinos N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong:
21st 2022 International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2022, Toronto, ON, Canada, December 8-10, 2022. IEEE 2022, ISBN 978-1-6654-9084-9 [contents] - [d2]Pai Chet Ng, Petros Spachos, Konstantinos N. Plataniotis:
RSSdata_HumanHuman. IEEE DataPort, 2022
- [i79]Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev:
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR abs/2201.00458 (2022) - [i78]Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis:
HistoKT: Cross Knowledge Transfer in Computational Pathology. CoRR abs/2201.11246 (2022) - [i77]Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis:
Exploiting Explainable Metrics for Augmented SGD. CoRR abs/2203.16723 (2022) - [i76]Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman Filtering-based Successor Representation. CoRR abs/2204.00049 (2022) - [i75]Pai Chet Ng, Petros Spachos, James She, Konstantinos N. Plataniotis:
A Kernel Method to Nonlinear Location Estimation with RSS-based Fingerprint. CoRR abs/2204.03724 (2022) - [i74]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Subclass Knowledge Distillation with Known Subclass Labels. CoRR abs/2207.08063 (2022) - [i73]Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Yuanhao Yu, Juwei Lu, Jin Tang, Konstantinos N. Plataniotis:
Error-Aware Spatial Ensembles for Video Frame Interpolation. CoRR abs/2207.12305 (2022) - [i72]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis:
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks. CoRR abs/2210.05874 (2022) - [i71]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Jamshid Abouei, Konstantinos N. Plataniotis:
ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks. CoRR abs/2210.15125 (2022) - [i70]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction. CoRR abs/2210.15297 (2022) - [i69]Parvin Malekzadeh, Konstantinos N. Plataniotis:
Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability. CoRR abs/2212.07946 (2022) - [i68]Arash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Konstantinos N. Plataniotis:
Graph Federated Learning for CIoT Devices in Smart Home Applications. CoRR abs/2212.14395 (2022) - 2021
- [j193]Seyed Mohammad Sheikholeslami, Fahimeh Fazel, Jamshid Abouei, Konstantinos N. Plataniotis:
Sub-Decimeter VLC 3D Indoor Localization With Handover Probability Analysis. IEEE Access 9: 122236-122253 (2021) - [j192]Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19. IEEE Commun. Mag. 59(9): 24-29 (2021) - [j191]Shahin 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:
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. Frontiers Artif. Intell. 4: 598932 (2021) - [j190]Yingxu Wang, Ming Hou, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic:
Towards a theoretical framework of autonomous systems underpinned by intelligence and systems sciences. IEEE CAA J. Autom. Sinica 8(1): 52-63 (2021) - [j189]Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains. Int. J. Comput. Vis. 129(2): 361-384 (2021) - [j188]Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction. Pattern Recognit. 116: 107942 (2021) - [j187]Katherine McLeod, Petros Spachos, Konstantinos N. Plataniotis:
Smartphone-Based Wellness Assessment Using Mobile Environmental Sensors. IEEE Syst. J. 15(2): 1989-1999 (2021) - [j186]Pai Chet Ng, Petros Spachos, Konstantinos N. Plataniotis:
COVID-19 and Your Smartphone: BLE-Based Smart Contact Tracing. IEEE Syst. J. 15(4): 5367-5378 (2021) - [j185]Dario Farina, Arash Mohammadi, Tülay Adali, Nitish V. Thakor, Konstantinos N. Plataniotis:
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]. IEEE Signal Process. Mag. 38(4): 5-7 (2021) - [j184]Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. 38(5): 37-66 (2021) - [c244]Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae:
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. AAAI 2021: 11639-11647 - [c243]Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti:
Histopathological Transfer Learning for Acute Lymphoblastic Leukemia Detection. CIVEMSA 2021: 1-6 - [c242]Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 Emissions From Computer Vision. CVPR Workshops 2021: 2311-2317 - [c241]Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks. ICASSP 2021: 1040-1044 - [c240]Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti:
Acute Lymphoblastic Leukemia Detection Based on Adaptive Unsharpening and Deep Learning. ICASSP 2021: 1205-1209 - [c239]Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Ada-Sise: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. ICASSP 2021: 1715-1719 - [c238]Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Integrated Grad-Cam: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks Via Integrated Gradient-Based Scoring. ICASSP 2021: 1775-1779 - [c237]Zohreh Hajiakhondi-Meybodi, Mohammad Salimibeni, Arash Mohammadi, Konstantinos N. Plataniotis:
Bluetooth Low Energy and CNN-Based Angle of Arrival Localization in Presence of Rayleigh Fading. ICASSP 2021: 7913-7917 - [c236]Mohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi, Petros Spachos, Konstantinos N. Plataniotis:
Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations. ICASSP 2021: 8037-8041 - [c235]Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. ICCVW 2021: 326-335 - [c234]Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. ICCVW 2021: 572-581 - [c233]Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis:
SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition. ICCVW 2021: 4141-4150 - [c232]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. ICIP 2021: 180-184 - [c231]Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. ICMLA 2021: 998-1003 - [c230]Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
In Search of Probeable Generalization Measures. ICMLA 2021: 1106-1111 - [c229]Bahar Sarhadi, Jamshid Abouei, Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Konstantinos N. Plataniotis:
Streaming Compression Multimedia Data over WMSNs based on Fairness Cluster-based Routing Protocol. SMC 2021: 661-666 - [d1]Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-19 Low-Dose and Ultra-Low-Dose CT Scans. IEEE DataPort, 2021 - [i67]Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel:
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS). CoRR abs/2102.07617 (2021) - [i66]Mahesh Sudhakar, Sam Sattarzadeh, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks. CoRR abs/2102.07799 (2021) - [i65]Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis, Jongseong Jang, Yeonjeong Jeong, Hyunwoo Kim:
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring. CoRR abs/2102.07805 (2021) - [i64]Petros Spachos, Konstantinos N. Plataniotis:
BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities. CoRR abs/2102.08751 (2021) - [i63]Lili Zhu, Petros Spachos, Erica Pensini, Konstantinos N. Plataniotis:
Deep Learning and Machine Vision for Food Processing: A Survey. CoRR abs/2103.16106 (2021) - [i62]Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis, Yuri A. Lawryshyn:
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. CoRR abs/2104.00620 (2021) - [i61]Petros Spachos, Ioannis Papapanagiotou, Konstantinos N. Plataniotis:
Microlocation for Smart Buildings in the Era of the Internet of Things: A Survey of Technologies, Techniques, and Approaches. CoRR abs/2104.02659 (2021) - [i60]Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 emissions from Computer Vision. CoRR abs/2104.08702 (2021) - [i59]Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi:
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. CoRR abs/2105.14656 (2021) - [i58]Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. CoRR abs/2107.01527 (2021) - [i57]Pai Chet Ng, Petros Spachos, Stefano Gregori, Konstantinos N. Plataniotis:
Personal Devices for Contact Tracing: Smartphones and Wearables to Fight Covid-19. CoRR abs/2108.02008 (2021) - [i56]Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis:
Public Key Reinforced Blockchain Platform for Fog-IoT Network System Administration. CoRR abs/2108.05248 (2021) - [i55]Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. CoRR abs/2108.06822 (2021) - [i54]Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. CoRR abs/2108.06859 (2021) - [i53]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Konstantinos N. Plataniotis:
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection. CoRR abs/2108.13157 (2021) - [i52]Ahmad Sajedi, Konstantinos N. Plataniotis:
On the Efficiency of Subclass Knowledge Distillation in Classification Tasks. CoRR abs/2109.05587 (2021) - [i51]