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Showing results 1-50 of 50

2024
1 Ohrem, Sveinung Johan; Kelasidi, Eleni; Xanthidis, Marios; Amundsen, Herman Biørn; Nissen, Oscar; Haugaløkken, Bent Oddvar Arnesen; Evjemo, Linn Danielsen; Skaldebø, Martin Breivik; Saad, Aya.
Aquaculture Robotics Research at SINTEF Ocean - Autonomy, navigation, and motion planning dedicated to improve efficiency, safety and fish welfare. North Atlantic Seafood Forum 2024; 2024-03-05 - 2024-03-07
OCEAN Untitled
 
2 Ohrem, Sveinung Johan; Kelasidi, Eleni; Xanthidis, Marios; Amundsen, Herman Biørn; Nissen, Oscar; Haugaløkken, Bent Oddvar Arnesen; Skaldebø, Martin Breivik; Evjemo, Linn Danielsen; Saad, Aya.
Aquaculture Robotics Research at SINTEF Ocean - Autonomy, navigation, and motion planning dedicated to improve efficiency, safety and fish welfare. Aquaculture America 2024; 2024-02-18 - 2024-02-21
OCEAN Untitled
 
3 Saad, Aya; Jakobsen, Stian Mjelde; Bondø, Morten Steen; Mulelid, Mats Aarsland; Kelasidi, Eleni.
StereoYolo+DeepSORT: A Framework to Track Fish from Underwater Stereo Camera in Situ. Proceedings of SPIE, the International Society for Optical Engineering 2024
OCEAN NTNU Untitled
 
2023
4 Ansari, Sadaf; Desai, Dattesh V.; Saad, Aya; Stahl, Annette.
Implications of single-stage deep learning networks in real-time zooplankton identification. Current Science 2023 ;Volume 125.(11) p. 1259-1266
NTNU OCEAN Untitled
 
5 Saad, Aya.
A Smart Web-Based Platform for Aquaculture Systems Empowered by Intelligent Agents. Invited talk; 2023-11-08 - 2023-11-08
OCEAN Untitled
 
6 Saad, Aya; Jakobsen, Stian; Bondø, Morten Steen; Mulelid, Mats Aarsland; Kelasidi, Eleni.
StereoYolo+DeepSORT: A Framework to Track Fish from Underwater Stereo Camera in Situ - Presentation. 2023 The 16th International Conference on Machine Vision; 2023-11-15 - 2023-11-18
NTNU OCEAN Untitled
 
7 Saad, Aya; Nissen, Oscar; Bjørnson, Finn Olav.
Aquagraph: A Powerful Data Visualization Tool (A Game Changer for Aquaculture). Advanced Aquaculture Technology Robotics and Digital Solutions in 2023; 2023-08-23 - 2023-08-23
NTNU OCEAN Untitled
 
8 Saad, Aya; Su, Biao; Bjørnson, Finn Olav.
A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents. Procedia Computer Science 2023 ;Volume 225. p. 4560-4569
OCEAN Untitled
 
9 Saad, Aya; Su, Biao; Bjørnson, Finn Olav.
A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents - Presentation. The 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; 2023-09-06 - 2023-09-08
NTNU OCEAN Untitled
 
2022
10 Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette.
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering 2022 ;Volume 12084. p. -
NTNU Untitled
 
11 Nissen, Oscar; Eilertsen, Espen; Ohrem, Sveinung Johan; Saad, Aya; Bjørnson, Finn Olav.
Aquagraph: Et rammeverk for å visualisere og optimalisere produksjonen og prosessene i havbruksnæringen. Havbruk 2022; 2022-10-19 - 2022-10-21
OCEAN Untitled
 
12 Ohrem, Sveinung Johan; Eilertsen, Espen; Saad, Aya; Nissen, Oscar; Bjørnson, Finn Olav.
Nye verktøy for bedre oversikt. Seminar om fremtidens antallskontroll i havbruk; 2022-09-08 - 2022-09-08
OCEAN Untitled
 
13 Saad, Aya; Håkansson, Anne.
RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems. Procedia Computer Science 2022 ;Volume 207. p. 3662-3671
NTNU UiT OCEAN Untitled
 
14 Saad, Aya; Nissen, Oscar; Eilertsen, Espen; Bjørnson, Finn Olav; Norheim Hagtun, Tore; Aspaas, Odd Gunnar; Artemis Baikas, Alexia; Ohrem, Sveinung Johan.
Towards Improved Visualization and Optimization of Aquaculture Production Process. Procedia Computer Science 2022 ;Volume 207. p. 3439-3448
OCEAN Untitled
 
15 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering 2022 ;Volume 12084. p. -
NTNU Untitled
 
2021
16 Borgersen, Jonas; Saad, Aya; Stahl, Annette.
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU Untitled
 
17 Borgersen, Jonas.
Attention Segmentation Approaches for Plankton Images Captured in-Situ. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2021 83 p.
NTNU Untitled
 
18 Gjærum, Vilde Benoni; Håkansson, Anne; Robinson, Haakon; Saad, Aya; Sadanandan Anand, Akhil; Seel, Katrine.
The International Robust AI Workshop. The 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; 2021-09-08 - 2021-09-10
UiT NTNU Untitled
 
19 Haug, Martin Lund; Saad, Aya; Stahl, Annette.
A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering 2021 ;Volume 11878. p. -
NTNU Untitled
 
20 Haug, Martin Lund; Saad, Aya; Stahl, Annette.
CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine 2021 ;Volume 54.(16) p. 450-457
NTNU Untitled
 
21 Haug, Martin; Saad, Aya; Stahl, Annette.
A combined informative and representative active learning approach for plankton taxa labeling. 14th International Conference on Machine Vision - ICMV 2021; 2021-11-08 - 2021-11-12
NTNU Untitled
 
22 Haug, Martin; Saad, Aya; Stahl, Annette.
CIRAL: a hybrid active learning framework for plankon taxa labeling. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS; 2021-09-22 - 2021-09-24
NTNU Untitled
 
23 Haug, Martin.
Appling active learning techniques in machine learning to minimize labeling effort. : Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2021 122 p.
NTNU Untitled
 
24 Håkansson, Anne; Saad, Aya; Sadanandan Anand, Akhil; Gjærum, Vilde Benoni; Robinson, Haakon; Seel, Katrine.
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. Procedia Computer Science 2021 ;Volume 192. p. 3966-3978
UiT NTNU Untitled
 
25 Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette.
An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering 2021 ;Volume 11605. p. -
NTNU Untitled
 
26 Sadanandan Anand, Akhil; Seel, Katrine; Gjærum, Vilde Benoni; Håkansson, Anne; Robinson, Haakon; Saad, Aya.
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. Procedia Computer Science 2021 ;Volume 192. p. 3987-3997
UiT NTNU Untitled
 
27 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. 14th International Conference on Machine Vision; 2021-11-08 - 2021-11-12
NTNU Untitled
 
28 Salvesen, Eivind.
Unsupervised methods for in-situ classification of plankton taxa. : Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU 2021 140 p.
NTNU Untitled
 
29 Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf.
Few-Shot Open World Learner. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS; 2021-09-22 - 2021-09-24
NTNU Untitled
 
30 Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf.
Few-Shot Open World Learner. IFAC-PapersOnLine 2021 ;Volume 54.(16) p. 444-449
NTNU Untitled
 
2020
31 Ansari, Sadaf; Saad, Aya; Stahl, Annette; Rajachandran, Madhan.
Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
NTNU Untitled
 
32 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS 2020
NTNU Untitled
 
33 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
34 Bergum, Sondre; Saad, Aya; Stahl, Annette.
Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract). OCEANS 2020
NTNU Untitled
 
35 Bergum, Sondre.
Object detection and instance segmentation of planktonic organisms using Mask R-CNN for real-time in-situ image processing. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2020 97 p.
NTNU Untitled
 
36 Oda, Kiese; Saad, Aya; Stahl, Annette.
Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
NTNU Untitled
 
37 Oda, Kiese.
Machine learning methodologies that solve the class-imbalance problem for datasets of planktonic organisms. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2020 89 p.
NTNU Untitled
 
38 Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette.
An instance segmentation framework for in-situ plankton taxa assessment. The 13th International Conference on Machine Vision; 2020-11-02 - 2020-11-06
NTNU Untitled
 
39 Saad, Aya; Davies, Emlyn John; Stahl, Annette.
Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. Ocean Sciences Meeting 2020; 2020-02-16 - 2020-02-21
OCEAN NTNU Untitled
 
40 Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole; Ludvigsen, Martin; Johnsen, Geir; Sousa, João; Rajan, Kanna.
Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography 2020 ;Volume 33.(3) p. 50-59
OCEAN NTNU Untitled
 
41 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS 2020
NTNU Untitled
 
42 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
43 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract. OCEANS 2020
NTNU Untitled
 
44 Salvesen, Eivind; Saad, Aya; Stahl, Annette.
Robust methods of unsupervised clustering to discover new planktonic species in-situ - poster. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
45 Teigen, Andreas; Saad, Aya; Stahl, Annette.
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS 2020
NTNU Untitled
 
46 Teigen, Andreas; Saad, Aya; Stahl, Annette.
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
47 Teigen, Andreas; Saad, Aya; Stahl, Annette.
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract. OCEANS 2020
NTNU Untitled
 
48 Teigen, Andreas; Saad, Aya; Stahl, Annette.
Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - Poster. Global OCEANS 2020; 2020-10-05 - 2020-10-14
NTNU Untitled
 
49 Teigen, Andreas.
Few-shot open world learning. Trondheim: Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk 2020 106 p.
NTNU Untitled
 
2019
50 Saad, Aya; Stahl, Annette.
AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ. Geilo Winter School 2019: Learning from Data; 2019-01-20 - 2019-01-25
NTNU Untitled