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Christos Diou
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- affiliation: Department of Informatics and Telematics, Harokopio University of Athens, Greece
- affiliation (former): Aristotle University of Thessaloniki, Greece
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2020 – today
- 2025
- [j23]Anastasios Iliopoulos, John Violos
, Christos Diou, Iraklis Varlamis:
Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series. Future Gener. Comput. Syst. 163: 107545 (2025) - 2024
- [j22]Charalampos Davalas
A rehearsal framework for computational efficiency in online continual learning. Appl. Intell. 54(8): 6383-6399 (2024) - [j21]Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Ioannis Kontopoulos, Maria Pateraki, Christos Diou, Konstantinos Tserpes:
Edge-driven Docker registry: facilitating XR application deployment. Computing 106(11): 3479-3501 (2024) - [j20]Pietro Melzi
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107: 102322 (2024) - [j19]Aristotelis Ballas
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 44-54 (2024) - [c58]Niki Kiriakidou
C-XGBoost: A Tree Boosting Model for Causal Effect Estimation. AIAI (3) 2024: 58-70 - [c57]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations. ICMR 2024: 758-766 - [c56]Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis. VLDB Workshops 2024 - [c55]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - [i34]Niki Kiriakidou, Ioannis E. Livieris, Christos Diou:
C-XGBoost: A tree boosting model for causal effect estimation. CoRR abs/2404.00751 (2024) - [i33]Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio:
Effector: A Python package for regional explanations. CoRR abs/2404.02629 (2024) - [i32]Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou:
Sampling Strategies for Mitigating Bias in Face Synthesis Methods. CoRR abs/2405.11320 (2024) - [i31]Aristotelis Ballas, Christos Diou:
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data. CoRR abs/2407.13421 (2024) - [i30]George Fragiadakis, Christos Diou, George Kousiouris, Mara Nikolaidou:
Evaluating Human-AI Collaboration: A Review and Methodological Framework. CoRR abs/2407.19098 (2024) - [i29]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
BAdd: Bias Mitigation through Bias Addition. CoRR abs/2408.11439 (2024) - 2023
- [j18]Niki Kiriakidou, Christos Diou:
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation. Int. J. Neural Syst. 33(7): 2350036:1-2350036:18 (2023) - [c54]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. BigDataService 2023: 1-8 - [c53]Aristotelis Ballas, Christos Diou:
CNN Feature Map Augmentation for Single-Source Domain Generalization. BigDataService 2023: 127-131 - [c52]Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. ECAI 2023: 859-866 - [c51]Antonios Makris
Streamlining XR Application Deployment with a Localized Docker Registry at the Edge. ESOCC 2023: 188-202 - [c50]Aristotelis Ballas
CNNs with Multi-Level Attention for Domain Generalization. ICMR 2023: 592-596 - [c49]George Kazazis
Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot. PCI 2023: 26-35 - [i28]Aristotelis Ballas, Christos Diou:
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks. CoRR abs/2303.11338 (2023) - [i27]Aristotelis Ballas, Christos Diou:
CNNs with Multi-Level Attention for Domain Generalization. CoRR abs/2304.00502 (2023) - [i26]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations. CoRR abs/2304.14252 (2023) - [i25]Niki Kiriakidou, Christos Diou:
Integrating nearest neighbors on neural network models for treatment effect estimation. CoRR abs/2305.06789 (2023) - [i24]Aristotelis Ballas, Christos Diou:
CNN Feature Map Augmentation for Single-Source Domain Generalization. CoRR abs/2305.16746 (2023) - [i23]Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou:
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. CoRR abs/2307.10011 (2023) - [i22]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. CoRR abs/2308.03171 (2023) - [i21]Aristotelis Ballas, Christos Diou:
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization. CoRR abs/2308.14418 (2023) - [i20]Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects. CoRR abs/2309.11193 (2023) - [i19]Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
Regionally Additive Models: Explainable-by-design models minimizing feature interactions. CoRR abs/2309.12215 (2023) - [i18]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - [i17]Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou:
On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals. CoRR abs/2312.00502 (2023) - 2022
- [c48]Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. ACML 2022: 375-390 - [c47]Aristotelis Ballas
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks. BigDataService 2022: 9-13 - [c46]Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos, Christos Diou:
Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds. CinC 2022: 1-4 - [c45]Charalampos Davalas
Computationally Efficient Rehearsal for Online Continual Learning. ICIAP (3) 2022: 39-49 - [c44]Niki Kiriakidou
An Improved Neural Network Model for Treatment Effect Estimation. AIAI (2) 2022: 147-158 - [c43]Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia, Ilias Kyrannas, Konstantinos Tserpes:
Partially Oblivious Neural Network Inference. SECRYPT 2022: 158-169 - [c42]Niki Kiriakidou, Christos Diou:
An evaluation framework for comparing causal inference models. SETN 2022: 34:1-34:9 - [c41]Aristotelis Ballas
Multi-layer Representation Learning for Robust OOD Image Classification. SETN 2022: 39:1-39:4 - [i16]Niki Kiriakidou, Christos Diou:
An improved neural network model for treatment effect estimation. CoRR abs/2205.11106 (2022) - [i15]Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou, Ioannis A. Sarafis:
Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned. CoRR abs/2206.02784 (2022) - [i14]Aristotelis Ballas, Christos Diou:
Multi-layer Representation Learning for Robust OOD Image Classification. CoRR abs/2207.13678 (2022) - [i13]Aristotelis Ballas, Christos Diou:
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks. CoRR abs/2208.09656 (2022) - [i12]Aristotelis Ballas
Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds for the Physionet 2022 challenge. CoRR abs/2208.14845 (2022) - [i11]Niki Kiriakidou, Christos Diou:
An evaluation framework for comparing causal inference models. CoRR abs/2209.00115 (2022) - [i10]Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. CoRR abs/2210.04542 (2022) - [i9]Panagiotis Rizomiliotis, Christos Diou, Aikaterini Triakosia, Ilias Kyrannas, Konstantinos Tserpes:
Partially Oblivious Neural Network Inference. CoRR abs/2210.15189 (2022) - 2021
- [j17]Konstantinos Kyritsis
A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches. IEEE J. Biomed. Health Informatics 25(1): 22-34 (2021) - [c40]Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos:
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone. EMBC 2021: 7186-7189 - [i8]Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos:
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone. CoRR abs/2108.00769 (2021) - 2020
- [c39]Vasileios Papapanagiotou, Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis
Collecting big behavioral data for measuring behavior against obesity. EMBC 2020: 5296-5299 - [c38]Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Leonidas Alagialoglou, Irini Lekka
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. EMBC 2020: 5864-5867 - [c37]Ioannis A. Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos:
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment. EMBC 2020: 5876-5879 - [c36]Vasileios Papapanagiotou
Recognition of Food-Texture Attributes Using an In-Ear Microphone. ICPR Workshops (5) 2020: 558-570 - [c35]Alexandros Petropoulos, Christos Diou:
Combining PENCIL with AMDIM for image classification with noisy and sparsely labeled data. SETN 2020: 93-96 - [i7]Christos Diou, Ioannis A. Sarafis, Vassilis Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nicos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. CoRR abs/2005.02928 (2020) - [i6]Ioannis A. Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos:
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment. CoRR abs/2005.03957 (2020) - [i5]Vasileios Papapanagiotou, Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis, Evangelia Charmandari
Collecting big behavioral data for measuring behavior against obesity. CoRR abs/2005.04928 (2020) - [i4]Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos:
A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches. CoRR abs/2010.07051 (2020)
2010 – 2019
- 2019
- [j16]George Mamalakis
Of daemons and men: reducing false positive rate in intrusion detection systems with file system footprint analysis. Neural Comput. Appl. 31(11): 7755-7767 (2019) - [j15]Vasileios Papapanagiotou
Automatic Analysis of Food Intake and Meal Microstructure Based on Continuous Weight Measurements. IEEE J. Biomed. Health Informatics 23(2): 893-902 (2019) - [j14]Konstantinos Kyritsis
Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data. IEEE J. Biomed. Health Informatics 23(6): 2325-2334 (2019) - [c34]Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos:
Behaviour Profiles for Evidence-based Policies Against Obesity. EMBC 2019: 3596-3599 - [c33]Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos:
Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch. EMBC 2019: 4229-4232 - [c32]Ioannis Saras, Christos Diou, Ioannis Ioakimidis
Assessment of In-Meal Eating Behaviour using Fuzzy SVM. EMBC 2019: 6939-6942 - [c31]Christos Maramis, Ioannis Ioakimidis
Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations. MobiHealth 2019: 294-302 - [i3]Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Ioannis Ioakimidis, Anastasios Delopoulos:
A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment. CoRR abs/1911.08315 (2019) - 2018
- [j13]Christos Diou
Image-Based Surrogates of Socio-Economic Status in Urban Neighborhoods Using Deep Multiple Instance Learning. J. Imaging 4(11): 125 (2018) - [c30]Konstantinos Kyritsis
End-to-end Learning for Measuring in-meal Eating Behavior from a Smartwatch. EMBC 2018: 5511-5514 - [i2]Ioannis A. Sarafis, Christos Diou, Anastasios Delopoulos:
Span error bound for weighted SVM with applications in hyperparameter selection. CoRR abs/1809.06124 (2018) - 2017
- [j12]Billy Langlet
Objective measures of eating behaviour in a Swedish high school. Behav. Inf. Technol. 36(10): 1005-1013 (2017) - [j11]Vasileios Papapanagiotou
A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry. IEEE J. Biomed. Health Informatics 21(3): 607-618 (2017) - [c29]Christos Diou
Data-driven assessments for sensor measurements of eating behavior. BHI 2017: 129-132 - [c28]Vasileios Papapanagiotou
The SPLENDID chewing detection challenge. EMBC 2017: 817-820 - [c27]Vasileios Papapanagiotou
Chewing detection from an in-ear microphone using convolutional neural networks. EMBC 2017: 1258-1261 - [c26]Konstantinos Kyritsis
Automated analysis of in meal eating behavior using a commercial wristband IMU sensor. EMBC 2017: 2843-2846 - [c25]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou
Learning local feature aggregation functions with backpropagation. EUSIPCO 2017: 748-752 - [c24]Konstantinos Kyritsis, Christos Diou
Food Intake Detection from Inertial Sensors Using LSTM Networks. ICIAP Workshops 2017: 411-418 - [i1]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou, Anastasios Delopoulos:
Learning Local Feature Aggregation Functions with Backpropagation. CoRR abs/1706.08580 (2017) - 2016
- [j10]Ioannis A. Sarafis
Online training of concept detectors for image retrieval using streaming clickthrough data. Eng. Appl. Artif. Intell. 51: 150-162 (2016) - [j9]Vasileios Papapanagiotou
Improving Concept-Based Image Retrieval with Training Weights Computed from Tags. ACM Trans. Multim. Comput. Commun. Appl. 12(2): 32:1-32:22 (2016) - [c23]Vasileios Papapanagiotou
A novel approach for chewing detection based on a wearable PPG sensor. EMBC 2016: 6485-6488 - [c22]Angelos Katharopoulos, Despoina Paschalidou, Christos Diou
Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets. ACM Multimedia 2016: 332-336 - 2015
- [j8]Ioannis A. Sarafis
Building effective SVM concept detectors from clickthrough data for large-scale image retrieval. Int. J. Multim. Inf. Retr. 4(2): 129-142 (2015) - [c21]Vasileios Papapanagiotou
A parametric Probabilistic Context-Free Grammar for food intake analysis based on continuous meal weight measurements. EMBC 2015: 7853-7856 - [c20]George Mamalakis, Christos Diou
Analysing Behaviours for Intrusion Detection. ICC Workshops 2015: 2645-2651 - [c19]Vasileios Papapanagiotou
Fractal Nature of Chewing Sounds. ICIAP Workshops 2015: 401-408 - [c18]Vasileios Papapanagiotou
Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements. IWBBIO (2) 2015: 35-46 - 2014
- [j7]George Mamalakis
Of daemons and men: A file system approach towards intrusion detection. Appl. Soft Comput. 25: 1-14 (2014) - [j6]Antonios C. Chrysopoulos, Christos Diou
Bottom-up modeling of small-scale energy consumers for effective Demand Response Applications. Eng. Appl. Artif. Intell. 35: 299-315 (2014) - [c17]Theodora Tsikrika
Multi-evidence User Group Discovery in Professional Image Search. ECIR 2014: 693-699 - [c16]Ioannis A. Sarafis
Weighted SVM from clickthrough data for image retrieval. ICIP 2014: 3013-3017 - [c15]Christos Maramis, Christos Diou
Preventing obesity and eating disorders through behavioural modifications: The SPLENDID vision. MobiHealth 2014: 7-10 - [c14]Ioannis A. Sarafis
Building Robust Concept Detectors from Clickthrough Data: A Study in the MSR-Bing Dataset. SMAP 2014: 66-71 - 2013
- [j5]Christos Maramis, Manolis Falelakis, Irini Lekka
Applying semantic technologies in cervical cancer research. Data Knowl. Eng. 86: 160-178 (2013) - [c13]Antonios C. Chrysopoulos, Christos Diou
Agent-Based Small-Scale Energy Consumer Models for Energy Portfolio Management. IAT 2013: 94-101 - 2011
- [j4]Theodora Tsikrika
Reliability and effectiveness of clickthrough data for automatic image annotation. Multim. Tools Appl. 55(1): 27-52 (2011) - 2010
- [j3]Christos Diou
Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion. IEEE Trans. Circuits Syst. Video Technol. 20(12): 1808-1821 (2010) - [c12]Christos Diou, George Stephanopoulos, Anastasios Delopoulos:
The Multimedia Understanding Group at TRECVID 2010. TRECVID 2010
2000 – 2009
- 2009
- [c11]Theodora Tsikrika
Image annotation using clickthrough data. CIVR 2009 - [c10]Christos Diou, Nikos Dimitriou, Panagiotis Panagiotopoulos, Christos Papachristou, Anastasios Delopoulos, George Stephanopoulos, Henning Rode, Theodora Tsikrika, Arjen P. de Vries, Daniel Schneider, Jochen Schwenninger, Marie-Luce Viaud, Agnès Saulnier, Peter Altendorf, Birgit Schröter, Matthias Elser, Angel Rego, Alex Rodriguez, Cristina Martínez, Iñaki Etxaniz, Gérard Dupont, Bruno Grilhères, Nicolas Martin, Nozha Boujemaa, Alexis Joly, Raffi Enficiaud, Anne Verroust, Souheil Selmi, Mondher Khadhraoui:
VITALAS at TRECVID-2009. TRECVID 2009 - 2008
- [c9]Pericles A. Mitkas, Vassilis Koutkias, Andreas L. Symeonidis, Manolis Falelakis, Christos Diou, Irini Lekka, Anastasios Delopoulos, Theodoros Agorastos, Nicos Maglaveras:
Association Studies on Cervical Cancer Facilitated by Inference and Semantic Technologies: The Assist Approach. MIE 2008: 241-246 - [c8]Christos Diou, Christos Papachristou, Panagiotis Panagiotopoulos, Anastasios Delopoulos, George Stephanopoulos, Nikos Dimitriou, Henning Rode, Arjen P. de Vries, Theodora Tsikrika, Robin Aly:
VITALAS at TRECVID-2008. TRECVID 2008 - [p1]Christos Diou
Indexing and Browsing of Color Images: Design Considerations. Advances in Semantic Media Adaptation and Personalization 2008: 329-346 - 2006
- [j2]Manolis Falelakis, Christos Diou
Semantic Identification: Balancing between Complexity and Validity. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Manolis Falelakis, Christos Diou, Anastasios Delopoulos:
Complexity control in semantic identification. Int. J. Intell. Syst. Technol. Appl. 1(3/4): 247-262 (2006) - [c7]Christos Diou
Space-Time Tubes and Motion Representation. AIAI 2006: 583-590 - [c6]Nikos Batalas, Christos Diou
Efficient Indexing, Color Descriptors and Browsing in Image Databases. SMAP 2006: 129-134 - [c5]Christos Diou
Constructing Fuzzy Relations fromWordNet forWord Sense Disambiguation. SMAP 2006: 135-140 - 2005
- [c4]Manolis Falelakis, Christos Diou, Anastasios Valsamidis, Anastasios Delopoulos:
Complexity Control in Semantic Identification. FUZZ-IEEE 2005: 102-107 - [c3]Manolis Falelakis, Christos Diou, Anastasios Valsamidis, Anastasios Delopoulos:
Dynamic Semantic Identification with Complexity Constraints as a Knapsack Problem. FUZZ-IEEE 2005: 567-572 - [c2]Manolis Falelakis, Christos Diou, Manolis Wallace, Anastasios Delopoulos:
Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited. ICANN (2) 2005: 817-822 - 2004
- [c1]Manolis Falelakis, Christos Diou, Anastasios Delopoulos:
Identification of semantics: balancing between complexity and validity. MMSP 2004: 434-437
Coauthor Index
[c46] [i12] [j17] [c40] [i8] [c39] [c38] [c37] [c36] [i7] [i6] [i5] [i4] [j15] [j14] [c34] [c33] [c32] [c31] [i3] [j13] [c30] [i2] [j12] [j11] [c29] [c28] [c27] [c26] [c25] [c24] [i1] [j10] [j9] [c23] [c22] [j8] [c21] [c19] [c18] [c16] [c15] [c14] [j5] [j4] [j3] [c12] [c11] [c10] [c9] [c8] [p1] [j2] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Ioannis Ioakimidis
aka: Ioannis Ioakeimidis
aka: Ioannis Ioakeimidis
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