Challenges in benchmarking stream learning algorithms with real-world data
VMA Souza, DM dos Reis, AG Maletzke… - Data Mining and …, 2020 - Springer
Streaming data are increasingly present in real-world applications such as sensor
measurements, satellite data feed, stock market, and financial data. The main characteristics …
measurements, satellite data feed, stock market, and financial data. The main characteristics …
Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective
Cattle identification is required for any type of record system to calving records or
performance records, and it has many applications in various fields such as livestock …
performance records, and it has many applications in various fields such as livestock …
[HTML][HTML] Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals
While insects are the largest and most diverse group of terrestrial animals, constituting ca.
80% of all known species, they are difficult to study due to their small size and similarity …
80% of all known species, they are difficult to study due to their small size and similarity …
No-trick (treat) kernel adaptive filtering using deterministic features
K Li, JC Principe - arXiv preprint arXiv:1912.04530, 2019 - arxiv.org
Kernel methods form a powerful, versatile, and theoretically-grounded unifying framework to
solve nonlinear problems in signal processing and machine learning. The standard …
solve nonlinear problems in signal processing and machine learning. The standard …
Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques
Infectious illnesses have a massive effect on the worldwide population's health and the
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …
An open-source tool for classification models in resource-constrained hardware
Sensor applications often face three main restrictions: power consumption, cost, and lack of
infrastructure. Most of the challenges imposed by these limitations can be addressed by …
infrastructure. Most of the challenges imposed by these limitations can be addressed by …
Automatic insect recognition using optical flight dynamics modeled by kernel adaptive arma network
K Li, JC Príncipe - … on Acoustics, Speech and Signal Processing …, 2017 - ieeexplore.ieee.org
Automatic insect recognition (AIR), using noninvasive methods in situ, has far-reaching
implications in entomology, agriculture, and disease control and prevention. An emerging …
implications in entomology, agriculture, and disease control and prevention. An emerging …
Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers
VMA Souza - Progress in Pattern Recognition, Image Analysis …, 2017 - Springer
Yellow fever, zika, and dengue are some examples of arboviruses transmitted to the humans
by the Aedes aegypti mosquitoes. The efforts to curb the transmission of these viral diseases …
by the Aedes aegypti mosquitoes. The efforts to curb the transmission of these viral diseases …