Christos Tjortjis

发表

Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case Studies in English and Greek Language

Paraskevas Koukaras, Evridiki Kapoteli, Christos Tjortjis, 2022, AIAI.

Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences

Paraskevas Koukaras, Dimitrios Rousidis, Christos Tjortjis, 2022, Inf. Syst..

Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning

Paraskevas Koukaras, Christos Tjortjis, Christina Nousi, 2022, Telecom.

One Step Ahead Energy Load Forecasting: A Multi-model approach utilizing Machine and Deep Learning

D. Ioannidis, D. Tzovaras, P. Gkaidatzis, 2022, 2022 57th International Universities Power Engineering Conference (UPEC).

An interdisciplinary approach on efficient virtual microgrid to virtual microgrid energy balancing incorporating data preprocessing techniques

D. Ioannidis, D. Tzovaras, P. Gkaidatzis, 2021, Computing.

Anomaly Detection in Small-Scale Industrial and Household Appliances

D. Ioannidis, D. Tzovaras, P. Fraternali, 2022, AIAI Workshops.

T3C: improving a decision tree classification algorithm’s interval splits on continuous attributes

Panagiotis Tzirakis, Christos Tjortjis, 2016, Advances in Data Analysis and Classification.

Social media prediction: a literature review

Christos Tjortjis, Paraskevas Koukaras, Dimitrios Rousidis, 2019, Multimedia Tools and Applications.

Introducing a novel approach in one-step ahead energy load forecasting

D. Ioannidis, D. Tzovaras, P. Gkaidatzis, 2021, Sustain. Comput. Informatics Syst..

Energy generation forecasting: elevating performance with machine and deep learning

D. Ioannidis, D. Tzovaras, P. Gkaidatzis, 2023, Computing.

Electromobility Prospects in Greece by 2030: A Regional Perspective on Strategic Policy Analysis

P. Siskos, Christos Tjortjis, Farid Shaban, 2023, Energies.

Smart Healthcare Support Using Data Mining and Machine Learning

Christos Tjortjis, Anestis Kousis, Theodora Chatzinikolaou, 2022, IoT and WSN based Smart Cities.

Power Load Forecasting: A Time-Series Multi-Step Ahead and Multi-Model Analysis

D. Ioannidis, P. Gkaidatzis, Paraskevas Koukaras, 2023, 2023 58th International Universities Power Engineering Conference (UPEC).

YouTube Sentiment Analysis on Healthcare Product Campaigns: Combining Lexicons and Machine Learning Models

Katerina Tzafilkou, Christos Tjortjis, Dimitrios Karapiperis, 2023, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA).

A Machine Learning Approach for Effective Software Defect Detection

Christos Tjortjis, Maria Vasileiou, George Papageorgiou, 2023, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA).

A Methodology Integrating the Quantitative Assessment of Energy Efficient Operation and Occupant Needs into the Smart Readiness Indicator

D. Ioannidis, Paraskevas Koukaras, Christos Tjortjis, 2023, Energies.

Leveraging Sports Analytics and Association Rule Mining to Uncover Recovery and Economic Impacts in NBA Basketball

Christos Tjortjis, Vangelis Sarlis, George Papageorgiou, 2024, Data.

Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts

Christos Tjortjis, Vangelis Sarlis, George Papageorgiou, 2024, Inf..

Enhancing Stock Market Forecasts with Double Deep Q-Network in Volatile Stock Market Environments

Christos Tjortjis, George Papageorgiou, Dimitrios Gkaimanis, 2024, Electronics.

Energy Forecasting: A Comprehensive Review of Techniques and Technologies

D. Ioannidis, Paraskevas Koukaras, Christos Tjortjis, 2024, Energies.

Urban Traffic Congestion Prediction: A Multi-Step Approach Utilizing Sensor Data and Weather Information

D. Ioannidis, P. Fokaides, Paraskevas Koukaras, 2024, Smart Cities.

Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification

Christos Tjortjis, George Papageorgiou, Konstantina-Vasiliki Tompra, 2024, Algorithms.