Collaborating Authors


AAAI Conferences

Probabilistic Classifiers Chains (PCC) offers interesting properties to solve multi-label classification tasks due to its ability to estimate the joint probability of the labels. However, PCC presents the major drawback of having a high computational cost in the inference process required to predict new samples. Lately, several approaches have been proposed to overcome this issue, including beam search and an epsilon-Approximate algorithm based on uniform-cost search. Surprisingly, the obvious possibility of using heuristic search has not been considered yet. This paper studies this alternative and proposes an admisible heuristic that, applied in combination with A* algorithm, guarantees, not only optimal predictions in terms of subset 0/1 loss, but also that it always explores less nodes than epsilon-Approximate algorithm. In the experiments reported, the number of nodes explored by our method is less than two times the number of labels for all datasets analyzed. But, the difference in explored nodes must be large enough to compensate the overhead of the heuristic in order to improve prediction time. Thus, our proposal may be a good choice for complex multi-label problems.

Investigative Data Mining for Security and Criminal Detection: Jesus Mena: 9780750676137: Books


"It shows how myriad distributed data streams can be harnessed to fight crime. Through easy-to-read prose, the reader learns how to use both public and private databases and networks to find threats and minimize risks. Besides explaining how data mining is done, the book introduces the reader to such techniques as intelligent agents (software that performs user-delegated tasks autonomously), link analysis (a process involving the mapping of the associations between suspects and locations), and text mining (a process used to identify a document's content based on linguistic analysis) and how they can aid law enforcement. For example, law enforcement in the United Kingdom use text mining to "institutionalize the knowledge of criminal perpetrators and organized gangs and groups," author Jesús Mena writes. Case studies buttress these points.

BIGO Brings Artificial Intelligence to Life at GITEX 2019


O LIVE, is focusing on the innovative potential of Artificial Intelligence (AI) to impact everyday lives in the MENA region. At GITEX 2019, BIGO will be demonstrating its use of AI-enabled processes across applications such as its facial detection and recognition system as well as its content management system to ensure high levels of quality content served to its millions of users across the region. AI is one of the mega-trends at GITEX 2019, the region's leading technology event. Under the theme, 'Synergising the mind and technology economy', the 2019 edition of the technology showcase will spotlight the wide impact of AI across every sphere, calling it'the brain at the core of all emerging technology'. Offering a suite of entertaining and interactive video applications that are popular across the MENA region, BIGO has built AI into core areas of its technology portfolio.

SmartStream Introduce a New Artificial Intelligence Module to Capture Missed Payments and Receipts


The new TLM Cash and Liquidity Management, AI and machine learning module is an important development for any financial institution with a treasury department, with its ability to predict when credit is going to arrive; giving the treasurer more control over cash-flows. The proprietary algorithm uses the data and predicts the forecasted settlement time of receipts on an intraday basis. The core of the module is underpinned by sophisticated machine learning technology that continuously improves, meaning the predictions become more accurate and treasurers can make more informed decisions. Nadeem Shamim, Head of Cash & Liquidity Management, SmartStream, says: "Things are going to get tighter in terms of managing liquidity. Collateral is expensive, capital is expensive and there is currently a big drive to reduce excessive use of capital – this is an area where AI and predictive analytics can manage liquidity buffers more efficiently and that can result in significant savings".

High-gear diplomacy aims to avert U.S.-Iran conflict

The Japan Times

DUBAI, UNITED ARAB EMIRATES – A flurry of diplomatic visits and meetings crisscrossing the Persian Gulf have driven urgent efforts in recent days to defuse the possibility of all-out war after the U.S. killed Iran's top military commander. Global leaders and top diplomats are repeating the mantra of "de-escalation" and "dialog," yet none has publicly laid out a path to achieving either. The United States and Iran have said they do not want war, but fears have grown that the crisis could spin out of Tehran's or Washington's control. Tensions have careened from one crisis to another since President Donald Trump withdrew the U.S. from Iran's nuclear deal with world powers. The U.S. drone strike that killed Revolutionary Guard Gen. Qassem Soleimani and a senior Iraqi militia leader in Baghdad on Jan. 3 was seen as a major provocation.