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To tackle the problem of lexical semantic change, KocLab has developed the first Gaussian word embedding (w2g)-based approach, which has been described in the paper “Semantic Change Detection with Gaussian Word Embeddings” published at IEEE Transactions on Audio, Speech and Language Processing. The proposed method reached high rankings (including the first rank at one of […]

The work of Dr. Koç and his collaborators on sentiment analysis has been published in IEEE Transactions on Neural Networks and Learning Systems. The paper entitled “Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance” proposes a novel method to overcome the inherent label imbalance problem in multi-label classification by balancing losses […]

The paper entitled “Operator Theory-based Computation of Linear Canonical Transforms” published in Signal Processing by Dr. Koç and his collaborators applied the operator theory to the computation of linear canonical transforms. By exploiting hyperdifferential operators and through a systematic investigation of possible parameters and design choices, the proposed algorithm achieves a discrete linear canonical transform […]

A new study of Dr. ALGIN and his team has been published. Prof. Dr. Oktay ALGIN and his colleagues recently published the results of a study entitled ‘Cerebrospinal fluid velocity changes in idiopathic scoliosis: A preliminary study using 3-tesla PC-MRI and 3D-SPACE-VFAM data’ in the scientific journal “Child’s Nervous System.” The findings of this study […]

As an outcome of TÜBİTAK 1001 Project named “Natural Language Processing and Machine Learning Techniques for Applications of Artificial Intelligence in Legal Texts”, KocLab is pleased to announce that a journal paper has been published in Information Processing & Management. The paper “Natural Language Processing in Law: Prediction of outcomes in the Higher Courts of […]