Machine learning can bring a lot of value to any company when it is used to analyse customer behaviour on social media. Combining topic modelling and sentiment analysis brings clear and valuable insights.
Read moreTogether with Anyways, we are training a detection model for traffic junctions.
Read moreIxorThink developed a classifier to recognize different types of grain lithologies within digital images of ground samples.
Read moreWe are developing a chatbot for IxorDocs. This chatbot will provide support to clients with questions regarding sent and received invoices in the IxorDocs platform.
Read moreTogether with Prof. Raedt, UGent, we developed a machine learning model that detects and annotates epileptic seizures in EEG signals of rats and mice.
Read moreIn collaboration with Dr. De Paepe, AZ St Jan Brugge, we are developing a machine learning model that grades dysplastic colon polyps. This model lays at the base of a whole slide screening tool.
Read moreIn collaboration with J. Delabie, UHN Toronto, we are training a model to recognize and count blast cells in bone marrow smears.
Read moreTo automate document flow to Peppol and Doccle, IxorThink designed a NLP model for IxorDocs. Our system detects client and payment information on documents.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreWe developed a web service for a Belgian retail company. This web service enables our client to organise and maintain their database of 3 million products based on product image analysis.
Read moreTogether with Anyways, we are training a detection model for traffic junctions.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreIn collaboration with Dr. De Paepe, AZ St Jan Brugge, we are developing a machine learning model that grades dysplastic colon polyps. This model lays at the base of a whole slide screening tool.
Read moreIn collaboration with J. Delabie, UHN Toronto, we are training a model to recognize and count blast cells in bone marrow smears.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreMachine learning can bring a lot of value to any company when it is used to analyse customer behaviour on social media. Combining topic modelling and sentiment analysis brings clear and valuable insights.
Read moreWe are developing a chatbot for IxorDocs. This chatbot will provide support to clients with questions regarding sent and received invoices in the IxorDocs platform.
Read moreTo automate document flow to Peppol and Doccle, IxorThink designed a NLP model for IxorDocs. Our system detects client and payment information on documents.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreTogether with Anyways, we are training a detection model for traffic junctions.
Read moreIxorThink developed a classifier to recognize different types of grain lithologies within digital images of ground samples.
Read moreIn collaboration with Dr. De Paepe, AZ St Jan Brugge, we are developing a machine learning model that grades dysplastic colon polyps. This model lays at the base of a whole slide screening tool.
Read moreIn collaboration with J. Delabie, UHN Toronto, we are training a model to recognize and count blast cells in bone marrow smears.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreWe developed a web service for a Belgian retail company. This web service enables our client to organise and maintain their database of 3 million products based on product image analysis.
Read moreTogether with Prof. Raedt, UGent, we developed a machine learning model that detects and annotates epileptic seizures in EEG signals of rats and mice.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreWe are developing a chatbot for IxorDocs. This chatbot will provide support to clients with questions regarding sent and received invoices in the IxorDocs platform.
Read moreTogether with Anyways, we are training a detection model for traffic junctions.
Read moreIn collaboration with J. Delabie, UHN Toronto, we are training a model to recognize and count blast cells in bone marrow smears.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreWe developed a web service for a Belgian retail company. This web service enables our client to organise and maintain their database of 3 million products based on product image analysis.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreMachine learning can bring a lot of value to any company when it is used to analyse customer behaviour on social media. Combining topic modelling and sentiment analysis brings clear and valuable insights.
Read moreIxorThink developed a web based platform. Our platform is used for collecting data and showing the results of our machine learning models. The platform uses a vendor neutral whole slide scan viewer as well as a viewer for time serie.
Read moreWe developed a web service for a Belgian retail company. This web service enables our client to organise and maintain their database of 3 million products based on product image analysis.
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