H. Assem

发表

Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation

John P. McCrae, Mihael Arcan, Rajdeep Sarkar, 2022, KDD.

Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment

H. Assem, Silviu Oprea, Sourav Dutta, 2022, COLING.

Self-distilled Pruning of Deep Neural Networks

H. Assem, Sourav Dutta, James O'Neill, 2022, ECML/PKDD.

Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework

Sourav Dutta, H. Assem, Koustava Goswami, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders

Raj Nath Patel, Edward Burgin, Sourav Dutta, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities

Declan O'Sullivan, Lei Xu, Haytham Assem, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

A generic algorithm for mid-call audio codec switching

Brendan Jennings, Mohamed Adel, Haytham Assem, 2013, 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013).

ECML PKDD 2018 Workshops

Yuzuru Tanaka, Anna Monreale, Randy Goebel, 2018, Lecture Notes in Computer Science.

Qasar: Self-Supervised Learning Framework for Extractive Question Answering

Haytham Assem, Sourav Dutta, Rajdeep Sarkar, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Aligned Weight Regularizers for Pruning Pretrained Neural Networks

J. Ó. Neill, H. Assem, Sourav Dutta, 2022, FINDINGS.

Urban Water Flow and Water Level Prediction Based on Deep Learning

Haytham Assem, Francesco Pilla, Paul Johnston, 2017, ECML/PKDD.

Classification of Cybercrime Indicators in Open Social Data

M. G. Madden, Teodora Sandra Buda, I. Ullah, 2020, SIMBig.

Machine learning as a service for enabling Internet of Things and People

Declan O'Sullivan, Lei Xu, Haytham Assem, 2016, Personal and Ubiquitous Computing.

Towards Bridging the Gap between Machine Learning Researchers and Practitioners

Declan O'Sullivan, Haytham Assem, D. O’Sullivan, 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection

Bora Caglayan, Haytham Assem, Teodora Sandra Buda, 2018, PAKDD.

Cross-lingual Sentence Embedding using Multi-Task Learning

Haytham Assem, Koustava Goswami, Theodorus Fransen, 2021, EMNLP.

Discovering New Socio-demographic Regional Patterns in Cities

Declan O'Sullivan, Haytham Assem, D. O’Sullivan, 2016, LBSN@SIGSPATIAL/GIS.

RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data

Teodora Sandra Buda, D. O’Sullivan, H. Assem, 2017, ACM Trans. Intell. Syst. Technol..

Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things

A. Omar Portillo-Dominguez, Damien Magoni, John Murphy, 2018, 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Machine Learning for Autonomic Network Management in a Connected Cars Scenario

Oihana Otaegui, Marco Quartulli, Haytham Assem, 2016, Nets4Cars/Nets4Trains/Nets4Aircraft.

P 47 Learning to evaluate and manage antenatal blood pressure at home (LEANBH)

Yoke Yin Lim, G. Thompson, S. Woodworth, 2017 .

Clinical ManagementOP 4 Learning to evaluate and manage antenatal blood pressure at home (LEANBH)

Yoke Yin Lim, G. Thompson, S. Woodworth, 2017 .

Deep Neural Compression Via Concurrent Pruning and Self-Distillation pdf

Haytham Assem, James O' Neill, Sourav Dutta, 2021, ArXiv.

A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation

Neil J. Hurley, Haytham Assem, Teodora Sandra Buda, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

SCCD: Social Capital-Driven Career Development Framework

Neil J. Hurley, Haytham Assem, Teodora Sandra Buda, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

ADE: An ensemble approach for early Anomaly Detection

Lei Xu, Haytham Assem, Teodora Sandra Buda, 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

Cognitive Applications and Their Supporting Architecture for Smart Cities

Lei Xu, Haytham Assem, Teodora Sandra Buda, 2017 .

ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction

Bora Caglayan, Declan O'Sullivan, Haytham Assem, 2018, ECML/PKDD.