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A subset of MMR‐proficient colon cancers responds to neoadjuvant immunotherapy

Molecular Oncology, EarlyView.
Tan et al. reveal that a distinct subset of early‐stage pMMR colon cancers can respond to neoadjuvant immunotherapy. In the NICHE‐2 trial, responders (26%) were characterized by chromosomal instability, TP53 mutations, and proliferative cell‐cycle programs, whereas nonresponders showed metabolic and stromal reprogramming with TGF‐β‐driven ...
Eleonora Piumatti, Giovanni Germano, Pietro Paolo Vitiello, Alberto Bardelli   +3 more
wiley   +1 more source

Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends. [PDF]

J Imaging
Hossen MA, Abas PE.
europepmc   +1 more source

Leveraging Artificial Occluded Samples for Data Augmentation in Human Activity Recognition. [PDF]

Sensors (Basel)
Mathe E, Vernikos I, Spyrou E, Mylonas P.   +3 more
europepmc   +1 more source

Enhancing indoor activity recognition for disabled persons using multi head self attention recurrent neural network with improved pelican algorithm. [PDF]

Sci Rep
Arasi MA, Alkhudhayr H, Alkharashi A, Alneil AA.   +3 more
europepmc   +1 more source

Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum. [PDF]

Sci Rep
Maray M.
europepmc   +1 more source

IoT powered RNN for improved human activity recognition with enhanced localization and classification. [PDF]

Sci Rep
Al Mudawi N, Azmat U, Alazeb A, Alhasson HF, Alabdullah B, Rahman H, Liu H, Jalal A.   +7 more
europepmc   +1 more source

TCN-MAML: A TCN-Based Model with Model-Agnostic Meta-Learning for Cross-Subject Human Activity Recognition. [PDF]

Sensors (Basel)
Lin CY, Lin CY, Liu YT, Chen YW, Ng HF, Shih TK.   +5 more
europepmc   +1 more source

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Activity recognition

Proceedings of the 2011 international workshop on Situation activity & goal awareness - SAGAware '11, 2011
Activity recognition is an emerging field that demands active research in ubiquitous computing for analyzing complex scenarios such as concurrent situation assessment and domination of major over the minor activities. In this paper, an evolutionary ensembles approach using Genetic Algorithm (GA) as a homogeneous learner has been proposed. This approach
Muhammad Fahim, Iram Fatima, Sungyoung Lee, Young-Koo Lee   +3 more
openaire   +1 more source

Activity Recognition

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
We propose a method to translate between multi-modalities using an RNN encoder-decoder model. Based on such a model allowing to translate between modalities, we built an activity recognition system. The idea of equivalence of modality was investigated by Banos et al. This paper replaces this with deep learning. We compare the performance of translation
Tsuyoshi Okita, Sozo Inoue
openaire   +1 more source

From Activity Recognition to Situation Recognition

2013
Activity recognition is important to many critical human-centric applications. Despite success in activity recognition research, there seems to be a quest for a richer sentience that is more expressive than human activity. In particular, situation has received intense attention lately with a multitude of overlapping definitions motivated by a variety ...
Lee, D., Helal, Sumi
openaire   +1 more source