Felix A. Gers

According to our database1, Felix A. Gers authored at least 19 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


IDEL: In-Database Neural Entity Linking.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

RelVis: Benchmarking OpenIE Systems.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.
Neural Networks, 2003

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.
Neural Computation, 2002

Learning Precise Timing with LSTM Recurrent Networks.
Journal of Machine Learning Research, 2002

Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.
Proceedings of the Artificial Neural Networks, 2002

Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.
Proceedings of the Artificial Neural Networks, 2002

Proceedings of the ESANN 2002, 2002

LSTM recurrent networks learn simple context-free and context-sensitive languages.
IEEE Trans. Neural Networks, 2001

Applying LSTM to Time Series Predictable through Time-Window Approaches.
Proceedings of the Artificial Neural Networks, 2001

Learning to Forget: Continual Prediction with LSTM.
Neural Computation, 2000

Building an artificial brain using an FPGA based CAM-Brain Machine.
Applied Mathematics and Computation, 2000

Neural Processing of Complex Continual Input Streams.
IJCNN (4), 2000

Recurrent Nets that Time and Count.
IJCNN (3), 2000

Language identification from prosody without explicit features.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

ATR's Artificial Brain ("CAM-Brain") Project: A Sample of What Individual "CoDi-1Bit" Model Evolved Neural Net Modules Can Do with Digital and Analog I/O.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O.
Proceedings of the 1st NASA / DoD Workshop on Evolvable Hardware (EH '99), 1999

CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model.
Proceedings of the Artificial Evolution, Third European Conference, 1997

CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project.
Proceedings of the Evolvable Systems: From Biology to Hardware, 1996