{"product_id":"artificial-intelligence-xli-9783031779145","title":"Artificial Intelligence XLI","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Technical Papers.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Neural Nets. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Revealing limitations of ResNet models for deep evaluation in chess.\u003c\/p\u003e\u003cp\u003e.- Quasi Biologically Plausible Category Learning.\u003c\/p\u003e\u003cp\u003e.- On the Development of a Pixel-wise Plastic Waste Identification System for Multispectral Remote Sensing Applications.\u003c\/p\u003e\u003cp\u003e.- Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention.\u003c\/p\u003e\u003cp\u003e.- LSTM for Modelling and Predictive Control of Multivariable Processes.\u003c\/p\u003e\u003cp\u003e.- Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Deep Learning. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Bitcoin Forecasting using Deep Learning and Time Series Ensemble Techniques.\u003c\/p\u003e\u003cp\u003e.- TRAPL: Transformer-based Patch Learning\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195426464087,"sku":"9783031779145","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-xli-9783031779145","provider":"Book Curl","version":"1.0","type":"link"}