Tefas, Anastasios

1. Learning Deep Representations with Probabilistic Knowledge Transfer
   2018/03/28 by Nikolaos Passalis, Anastasios Tefas, Passalis, Nikolaos +1 · 6 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
2. Heterogeneous Knowledge Distillation using Information Flow Modeling
   2020/05/02 by Passalis, Nikolaos, Tzelepi, Maria, Tefas, Anastasios · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. New Gravitational Wave Discoveries Enabled by Machine Learning
   2024/07/10 by Alexandra E. Koloniari, Koloniari, Alexandra E., Evdokia Chrysovalantou Koursoumpa +11 · 9 citations
   Computer Science · #Computational Physics and Python Applications #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Astrophysical Phenomena (astro-ph.HE) #Instrumentation and Methods for Astrophysics (astro-ph.IM)
4. Roadmap on Neuromorphic Photonics
   2025/01/14 by Daniel Brunner, Bhavin J. Shastri, Brunner, Daniel +328 · 2 voices · 6 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Neural Networks and Applications #Neural Networks and Reservoir Computing #cs.ET #physics.app-ph #physics.optics
5. Using Deep Learning for price prediction by exploiting stationary limit order book features
   2018/10/23 by Tsantekidis, Avraam, Passalis, Nikolaos, Tefas, Anastasios +3 · 2 citations
   #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Finance (q-fin.ST)
6. Semantic Scene Segmentation for Robotics Applications
   2021/08/25 by Tzelepi, Maria, Tefas, Anastasios · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
7. Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data
   2018/09/19 by Paraskevi Nousi, Nousi, Paraskevi, Avraam Tsantekidis +13 · 1 citation
   Decision Sciences · Engineering · #Computational Engineering #Energy Load and Power Forecasting #FOS: Computer and information sciences #Finance #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #and Science (cs.CE)
8. Deep Adaptive Input Normalization for Time Series Forecasting
   2019/02/21 by Passalis, Nikolaos, Tefas, Anastasios, Kanniainen, Juho +2 · 1 citation
   #Computational Finance (q-fin.CP) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG)
9. Deep Learning for Energy Time-Series Analysis and Forecasting
   2023/06/15 by Tzelepi, Maria, Symeonidis, Charalampos, Nousi, Paraskevi +5 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Non-negative isomorphic neural networks for photonic neuromorphic accelerators
    2023/10/02 by Manos Kirtas, Kirtas, Manos, Nikolaos Passalis +4 · 1 citation
    Computer Science · Engineering · #Neural Networks and Reservoir Computing #Photonic and Optical Devices #Optical Network Technologies