This page contains the submitted thesis pitches in cooperation with the Norwegian Open AI Lab. Due to the cancellation of the master thesis pitch event we provide here the thesis description and presentation of the thesis. In order to apply for the thesis, please use the IDI master thesis or contact the NTNU supervisor named with the thesis.
Pitches
#2: AI systems for medical diagnosis
How can we give artificial intelligence systems used for medical diagnosis the ability to say... "I have never seen this before. Don't trust me on this one." ?
Contact: Jon Bekker, dedex.ai
NTNU Supervisor: Adil Rasheed, ITK
Video summary:
#3: Improving Project Estimation with Case-based Reasoning
Contact: Thomas Thoresen, Norconsult
NTNU Supervisor: Kerstin Bach
#4: NLP - Enterprise-scale smart document search
Contact: Thomas Thoresen, Norconsult
NTNU Supervisor: Björn Gambäck
#5: NLP with Deep Learning and Advanced Machine Learning for Information Retrieval from Text Archives
Contact: Javad Rezaie/Arkivverket
NTNU Supervisor: Björn Gambäck
Video summary:
#6: Real-Time decision support for aquaculture operations
Contact: Knut Drange/Piscada
NTNU Supervisor: Keith Downing
#8: Generative Adversarial Network for Temporal Window imputation for Multivariate Time Series Data
Contact: Massimiliano Ruocco/Sara Malacarne Telenor
NTNU Supervisor: Massimiliano Ruocco
#9: Neural Language Models in Speech Recognition
Contact: Massimiliano Ruocco/Pablo Ortiz/ Telenor
NTNU Supervisor: Massimiliano Ruocco
#10: Transfer Learning for Data-efficient analysis of similar IoT devices
Contact: Massimiliano Ruocco/Sara Malacarne/Jostein Fløystad (Telenor)
NTNU Supervisor: Massimiliano Ruocco
Video summary for "Generative Adversarial Network for Temporal Window imputation for Multivariate Time Series Data" and "Transfer Learning for Data-efficient analysis of similar IoT devices":
#11: ML based time trial prediction model for team INEOS
Contact: Luca Oggiano/Robby Ketchell (Team INEOS/Nablaflow)
NTNU Supervisor: Massimiliano Ruocco
#12: Machine learning to automate image analytics in medical image guided procedures
Contact: Thomas Langø (SINTEF)
NTNU Supervisor: Frank Lindseth
Video summary:
#14: Fault segmentation based on the machine learning results
Contact: Olesya Zimina/Victor Aarre (Schlumberger)
NTNU Supervisor: Rudolf Mester
#15: Quantitative QC for seismic machine learning
Contact: Olesya Zimina/Victor Aarre (Schlumberger)
NTNU Supervisor: Rudolf Mester
Video summary:
#17: TrønderEnergi: Reproducibility of deep transfer learning models for time-series forecasting
Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen
#18: TrønderEnergi: Deep probabilistic time-series forecasting
Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen
#19: TrønderEnergi: Explainable time-series forecasting
Contact: Odd Erik Gundersen, TrønderEnergi
NTNU Supervisor: Odd Erik Gundersen
#20: Way - Personalizing a virtual driving instructor
Contact: Odd Erik Gundersen, Way
NTNU Supervisor: Odd Erik Gundersen
#21: AI, autonomy and computer vision for smart maintenance of road infrastructure
Contact: Siri Hustad/Ingvald Strømmen (NTNU/Statens vegvesen)
NTNU Supervisor: Frank Lindseth / Heri Ramampiaro
#22: AI, AI, AI, what a gentle lobster!
Contact: Stig W Omholt (NTNU)
NTNU Supervisor: Frank Lindseth
#23: Next generation Responsible Gaming Solutions driven by AI
Contact: Jørn Berg Nordlund (Norsk Tipping)/ Joakim Wergeland (Lighthouse)
NTNU Supervisor: Ole Jakob Mengshoel
#24: Bildesammenligning. Sammenstille forskjellige utgaver av fotografier
Contact: Freddy Wetjen/ Nasjonalbiblioteket
NTNU Supervisor: Giampiero Salvi, IES
#25: Informasjonselementer i tekst
Contact: Svein Arne Brygfjeld, Nasjonalbiblioteket
NTNU Supervisor: Björn Gambäck, IDI or Giampiero Salvi, IES
#26: De-identification of text documents for privacy protection
Contact: Pierre Lison, Norsk regnesentral
NTNU Supervisor: Heri Ramampiaro
#27: Graph-based representations of the dialogue state (and application to human-robot interaction)
Contact: Pierre Lison, Norsk regnesentral
NTNU Supervisor: Björn Gambäck
#28: Prediction of personalized ski jumping results
Contact: Ola Elfmark (NTNU senter for idrettsanlegg og teknologi)
NTNU Supervisor: Helge Langseth
#29: DNVGL-Object detection + multiple objects
Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester
#30: DNVGL-Convolutional neural network based object tracking
Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester
#31: DNVGL- Detecting cracks from a stack of motion compensated images
Contact: Jing Xie, DNV GL Høvik
NTNU Supervisor: Rudolf Mester
#33: Ship detection and classification
Contact: Adrian Tofting, Vake
NTNU Supervisor: Keith Downing
Contact
- Marianne Lyseng, NAIL@NTNU
- Kerstin Bach, NAIL@NTNU, NAIL@NTNU