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Sunday, July 19th, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
11:30AM |
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I-W1: Workshop: Sentic Computing |
1:30PM |
End of day |
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Monday, July 20th, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
3:30PM |
I-R1: Feedforward neural networks |
I-SS1: Randomization-Based Deep and Shallow Learning Algorithms |
I-SS22: Learning Representations for Structured Data |
I-SS59A: Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing |
I-SBP: Student Best Paper Award |
I-R2: Supervised learning 1 |
I-R3: Neurodynamics |
I-P1: Feedforward neural networks |
I-P2: Applications of deep networks |
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5:30PM |
Break |
5:45PM |
I-R4: Deep neural networks |
I-SS2: Data Driven Approach for Bio-medical and Healthcare |
I-SS35: Deep and Generative Adversarial Learning |
I-SS59B: Artificial Intelligence and Advanced Machine Learning for Biomedical Signal Processing |
I-BP : Regular Best Paper Award |
I-R5: Supervised learning 2 |
I-R6: Cognitive Neuroscience and Neurocognition |
I-P3: Recurrent Neural Networks and SOM |
I-P4: Applications of deep networks, big data |
|
7:45PM |
Break |
8:00PM |
I-R7: Deep neural networks |
I-SS3: Current Trend of Machine Learning in Computer Vision |
I-SS32: Healthcare Analytics: Improving Healthcare outcomes using Big Data Analytics |
I-SS60: Learning from Difficult Data Streams |
I-SS36-7: Deep Learning for Wildlife Bioacoustics, Ecology and Crop Science |
I-R8: Supervised learning 3 |
I-R9: Visual System |
I-P5: Different Neural Networks - fuzzy, large scale, RBF |
I-P6: Bioinformatics and Biomedical engineering |
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10:00PM |
End of day |
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Tuesday, July 21st, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
2:30PM |
I-R10: Deep neural networks |
I-SS4A: Feature Extraction and Learning on Image and Text Data |
I-SS50: Machine Learning and Deep Learning Approaches to for Ambient Assisted Living |
I-SS13: Computational Intelligence for Applied Time Series Forecasting |
I-SS39: Challenges in Reservior Computing |
I-R11: Supervised learning 4 |
I-R12: Attention |
I-P7: Spiking Neural Networks |
I-P8: Data analysis and pattern recognition |
|
4:30PM |
Break |
4:45PM |
I-R13: Deep neural networks |
I-SS4B: Feature Extraction and Learning on Image and Text Data |
I-SS42: Artificial Neural Networks for Healthcare and Bio-signals Analysis |
I-SS12: Cybersecurity in Complex Environments |
I-SS49: Validation, Explanation and Correction of Artificial Intelligence Systems |
I-R14: Unsupervised learning and clustering 1 |
I-R15: Learning, Memory, Spatial Cognition |
I-P9: Deep neural networks |
I-P10: Speech recognition, speech production, robotics, neurocontrol, optimization |
|
6:45PM |
Break |
7:00PM |
I-R16: Deep neural networks |
I-SS6: Bayesian Neural Networks: The Interplay between Bayes' Theorem and Neural Networks |
I-SS38: Adversarial Machine Learning and Cyber Security |
I-SS15A: Deep Learning and Computational Intelligence for Medical Image Analysis |
I-SC7: CI in Transactive Energy Management and Smart Energy Network (CITESEN 2020) |
I-R17: Unsupervised learning and clustering 2 |
I-R18: Semantic Cognition and Symbolic Processing |
I-P11: Deep neural networks |
I-P12: Signal processing, image processing, and multi-media |
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9:00PM |
End of day |
|
Wednesday, July 22nd, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
3:30PM |
I-R19: Deep neural networks |
I-SS7: Machine Learning Applications in Cyber Security |
I-SS40: Complex-valued and Quaternionic Neural Networks: Theory and Applications |
I-SS15B: Deep Learning and Computational Intelligence for Medical Image Analysis |
I-SC8: CI for Bioinformatics and Computational Biology |
I-R20: Reinforcement learning and adaptive dynamic programming 1 |
I-R21: Motor Control |
I-P13: Deep neural networks |
I-P14: Temporal data analysis, prediction and forecasting; time series analysis, computer networks |
|
5:30PM |
Break |
5:45PM |
I-R22: Deep neural networks |
I-SS9A: Deep Neural Audio Processing |
I-SS45: Neural Architecture Search and its Applications |
I-SS19: Concept Drift, Domain Adaptation & Learning in Dynamic Environments |
I-SC10: Sensors, Robotics and Artificial Intelligence: From Theory to Applications |
I-R23: Reinforcement learning and adaptive dynamic programming 2 |
I-R24: Applications of deep networks |
I-P15: Supervised Learning |
I-P16: Data mining and knowledge discovery |
|
7:45PM |
Break |
8:00PM |
I-R25: Deep neural networks |
I-SS9B: Deep Neural Audio Processing |
I-SS41: Neural Architecture Search and Deep Reinforcement Learning for Autonomous Driving |
I-SS20: Artificial Intelligence and SEcurity (AISE) |
I-SS4-28: AI Technologies in IoT, CI & Software Engineering |
I-R26: Semi-supervised learning |
I-R27: Data analysis and pattern recognition |
I-P17: Supervised Learning |
I-P18: Power system and financial engineering applications |
|
10:00PM |
End of day |
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Thursday, July 23rd, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
3:30PM |
I-R28: Fuzzy and Large Scale neural networks |
I-SS10: Recurrent Neural Information Processing: Models and Applications |
I-SS46: Intelligent Vehicle and Transportation Systems |
I-SS13A: Biologically Inspired Cognitive Robotics |
I-SS15: Intelligent Control: Methods and Applications |
I-R29: Deep learning I |
I-COMP: IJCNN Competitions |
I-P19: Unsupervised learning and clustering (including PCA and ICA) |
I-P20: Multi-agent systems, social computing, industrial, expert systems |
|
5:30PM |
Break |
5:45PM |
I-R30: Modular Networks |
I-SS27: Embedded AI for Real-Time Systems |
I-SS51: Neurocomputing and Cognition |
I-SC13B: Biologically Inspired Cognitive Robotics |
I-SS33B: Computationally Intelligent Methods in Neural Data Processing |
I-R31: Deep Learning II |
I-R32: Applications of deep networks |
I-P21: Reinforcement learning and adaptive dynamic programming |
I-P22: Clinical applications |
|
7:45PM |
Break |
8:00PM |
I-R33: Recurrent neural networks |
I-SS25A: Machine Learning and Deep Learning Methods applied to Vision and Robotics |
I-SS47: Mind, Brain, and Cognitive Algorithms |
I-SS16: Neural Network-based Uncertainty Quantification |
I-SS34: Deep Learning for Brain-like Computing and Pattern Recognition |
I-R34: Deep Learning III |
I-R35: Signal processing, image processing, and multi-media |
I-P23: Semi-supervised learning, Online Learning, Probabilistic Methods |
I-P24: Other applications |
|
10:00PM |
End of day |
|
Friday, July 24th, 2020 |
Time |
IJCNN Room 1 |
IJCNN Room 2 |
IJCNN Room 3 |
IJCNN Room 4 |
IJCNN Room 5 |
IJCNN Room 6 |
IJCNN Room 7 |
IJCNN Poster Room 1 |
IJCNN Poster Room 2 |
IJCNN Workshop |
2:45PM |
I-R36: Reservoir networks and SOM |
I-SS18A: Explainable Computational/Artificial Intelligence |
I-SS55: Extreme Learning Machines (ELM) |
I-SS26: Neuromorphic Sensing, Processing and Applications |
I-R37: Applications in multi-agent systems and social computing |
I-R38: On-line learning and mixed topics |
I-R39: Temporal data analysis, prediction, and forecasting; time series analysis |
I-P25: Deep Learning |
I-P26: Neurocognitive, visual and auditory systems |
|
4:45PM |
Break |
5:00PM |
I-R40: Spiking Neural Networks |
I-SS18B: Explainable Computational/Artificial Intelligence |
I-SS52: Methods and Applications of Deep Reinforcement Learning to Autonomous Systems |
I-SS30: Robustness and Trustworthiness in Deep Learning |
I-R41: Manufacturing and industrial applications |
I-R42: Mixture models |
I-R43: Data mining and knowledge discovery |
I-P27: Deep Learning |
I-P28: Attention, Memory, Spatial Cognition, computational neuroscience, neurodynamics |
|
7:00PM |
Break |
7:15PM |
I-R44: Spiking and Other NN |
I-SS25B: Machine Learning and Deep Learning Methods applied to Vision and Robotics |
I-SS54: Online Intelligence and Trust Computation in Large-Scale Dynamic Networks |
I-SS33A: Computationally Intelligent Methods in Neural Data Processing |
I-R45: Expert systems |
I-R46: Clinical and Other applications |
I-R47: Power system applications |
I-P29: Mixture models, ensemble learning |
I-P30: Semantic Cognition, emotion, coordination and behavior |
|
9:15PM |
End of day |