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ORCIDKonstantinos N. Plataniotis
Kostas N. Plataniotis
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j228]Christos Korgialas
, Constantine Kotropoulos, Konstantinos N. Plataniotis:
Leveraging Electric Network Frequency Estimation for Audio Authentication. IEEE Access 12: 9308-9320 (2024)- [j227]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. Ad Hoc Networks 157: 103436 (2024) - [j226]Sajjad Shahabodini, Mobina Mansoori, Jamshid Abouei, Konstantinos N. Plataniotis:
Recurrent neural network and federated learning based channel estimation approach in mmWave massive MIMO systems. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - [j225]Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis:
CLSA: Contrastive-Learning-Based Survival Analysis for Popularity Prediction in MEC Networks. IEEE Internet Things J. 11(4): 6352-6367 (2024) - [j224]Ahmad Beigian, Ghazaleh Kianfar, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
Enhancing security for physical layer communication in RIS-aided MIMO-NOMA systems in the presence of an eavesdropper. Phys. Commun. 64: 102333 (2024) - [j223]Alireza Esmaeilzehi, Ensieh Khazaei, Kai Wang, Navjot Kaur Kalsi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Dimitrios Hatzinakos, Konstantinos N. Plataniotis:
HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments. Pattern Recognit. Lett. 184: 126-132 (2024) - [c279]Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu:
Test-Time Personalization with Meta Prompt for Gaze Estimation. AAAI 2024: 3621-3629 - [c278]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. AAAI 2024: 15961-15969 - [c277]Pai Chet Ng, Zhixiang Chi, Malcolm Low, Juwei Lu, Konstantinos N. Plataniotis, Nikolaos V. Boulgouris, Thirimachos Bourlai, Yong Man Ro:
Hyperspectral Skin Vision Challenge: Can Your Camera See Beyond Your Skin? ICASSP Workshops 2024: 59-60 - [c276]Arash Rasti-Meymandi, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis:
Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition. ICASSP Workshops 2024: 620-624 - [c275]Seyed Mohammad Sheikholeslami, Pai Chet Ng, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis:
Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments. ICASSP Workshops 2024: 635-639 - [c274]Pai Chet Ng, Juwei Lu, Konstantinos N. Plataniotis:
AQF: Assessing the Quality of Hyperspectral Reconstruction with a Learnable Metric. ICASSP 2024: 3390-3394 - [c273]Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. ICASSP 2024: 5115-5119 - [c272]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. ICASSP 2024: 6120-6124 - [c271]Sirvan Gharib, Mohammad Mansour Kesargheh, Seyed Jamal Seyed-Mohammadi, Zohreh Hajiakhondi-Meybodi, Jamshid Abouei, Konstantinos N. Plataniotis:
FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching. ICHMS 2024: 1-6 - [c270]Ghazaleh Kianfar, S. Jamal Seye Dmohammadi, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
Digital AirComp-Assisted Federated Edge Learning with Adaptive Quantization. ICHMS 2024: 1-6 - [c269]Esmatollah Rezaei, Seyed Jamal Seyed-Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis:
FedDist-POIRec: Federated Distillation for Point-Of-Interest Recommendation in Human Mobility Prediction. ICHMS 2024: 1-6 - [c268]Seyed Jamal Seyed-Mohammadi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
MoFLeuR: Motion-based Federated Learning Gesture Recognition. ICHMS 2024: 1-6 - [c267]Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis, Yang Wang:
Adapting to Distribution Shift by Visual Domain Prompt Generation. ICLR 2024 - [c266]Samir Khaki, Konstantinos N. Plataniotis:
The Need for Speed: Pruning Transformers with One Recipe. ICLR 2024 - [i102]Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification. CoRR abs/2401.01448 (2024) - [i101]Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu:
Test-Time Personalization with Meta Prompt for Gaze Estimation. CoRR abs/2401.01577 (2024) - [i100]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning. CoRR abs/2401.02325 (2024) - [i99]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertainty. CoRR abs/2401.02914 (2024) - [i98]Sadaf Khademi, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction. CoRR abs/2402.10066 (2024) - [i97]Kawa Atapour, Seyed Jamal Seyed-Mohammadi, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
FedD2S: Personalized Data-Free Federated Knowledge Distillation. CoRR abs/2402.10846 (2024) - [i96]Mobina Mansoori, Sajjad Shahabodini, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images. CoRR abs/2402.10851 (2024) - [i95]Dejia Xu, Hanwen Liang, Neel P. Bhatt, Hezhen Hu, Hanxue Liang, Konstantinos N. Plataniotis, Zhangyang Wang:
Comp4D: LLM-Guided Compositional 4D Scene Generation. CoRR abs/2403.16993 (2024) - [i94]Samir Khaki, Konstantinos N. Plataniotis:
The Need for Speed: Pruning Transformers with One Recipe. CoRR abs/2403.17921 (2024) - [i93]Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ATOM: Attention Mixer for Efficient Dataset Distillation. CoRR abs/2405.01373 (2024) - [i92]Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, Yuanhao Yu, Konstantinos N. Plataniotis, Yang Wang:
Adapting to Distribution Shift by Visual Domain Prompt Generation. CoRR abs/2405.02797 (2024) - [i91]Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei:
Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models. CoRR abs/2405.16645 (2024) - [i90]Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos N. Plataniotis, Yang Wang:
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams. CoRR abs/2407.12128 (2024) - [i89]Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You:
Prioritize Alignment in Dataset Distillation. CoRR abs/2408.03360 (2024) - 2023
- [j222]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) - [j221]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) - [j220]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) - [j219]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) - [j218]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) - [j217]Yingxu Wang, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk:
The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics. 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) - [c265]S. Kaveh Atapour, Seyed Jamal Seyed-Mohammadi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis:
Multi-Model Federated Learning Optimization Based on Multi-Agent Reinforcement Learning. CAMSAP 2023: 151-155 - [c264]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 - [c263]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 - [c262]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 - [c261]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty. ICASSP 2023: 1-5 - [c260]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. ICASSP 2023: 1-5 - [c259]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. ICCV 2023: 17051-17061 - [c258]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 - [c257]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 - [c256]Pai Chet Ng, Zhixiang Chi, Yannick Verdie, Juwei Lu, Konstantinos N. Plataniotis:
Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images. NeurIPS 2023 - [e3]Marina L. Gavrilova, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira:
Transactions on Computational Science XL. Lecture Notes in Computer Science 13850, Springer 2023, ISBN 978-3-662-67867-1 [contents] - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction. CoRR abs/2306.07309 (2023) - [i83]Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
End-to-End Supervised Multilabel Contrastive Learning. CoRR abs/2307.03967 (2023) - [i82]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) - [i81]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) - [i80]Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. CoRR abs/2312.10165 (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
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